pytorch generated_from_trainer dataset:glue license:apache-2.0 region:us
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-test_16_1069
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-test_16_1069

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3588
- F1: {'f1': 0.8042394014962594}
- Accuracy: {'accuracy': 0.6989453499520614}

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | F1                         | Accuracy                         |
|:-------------:|:------:|:------:|:---------------:|:--------------------------:|:--------------------------------:|
| No log        | 1.0    | 67     | 0.5879          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log        | 2.0    | 134    | 0.5747          | {'f1': 0.7801857585139319} | {'accuracy': 0.7277085330776606} |
| No log        | 3.0    | 201    | 0.5570          | {'f1': 0.8424206111443978} | {'accuracy': 0.74784276126558}   |
| No log        | 4.0    | 268    | 0.7406          | {'f1': 0.8374851720047449} | {'accuracy': 0.7372962607861937} |
| No log        | 5.0    | 335    | 0.8201          | {'f1': 0.851421188630491}  | {'accuracy': 0.7794822627037392} |
| No log        | 6.0    | 402    | 0.8660          | {'f1': 0.8404825737265416} | {'accuracy': 0.7718120805369127} |
| No log        | 7.0    | 469    | 1.2029          | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.3504        | 8.0    | 536    | 1.2559          | {'f1': 0.8422344996930632} | {'accuracy': 0.7535953978907}    |
| 0.3504        | 9.0    | 603    | 1.4866          | {'f1': 0.8425692695214106} | {'accuracy': 0.7603068072866731} |
| 0.3504        | 10.0   | 670    | 1.4314          | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
| 0.3504        | 11.0   | 737    | 1.6634          | {'f1': 0.8441308531109686} | {'accuracy': 0.7670182166826462} |
| 0.3504        | 12.0   | 804    | 1.3683          | {'f1': 0.8448500651890483} | {'accuracy': 0.7718120805369127} |
| 0.3504        | 13.0   | 871    | 1.9068          | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.3504        | 14.0   | 938    | 1.9702          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0577        | 15.0   | 1005   | 1.7388          | {'f1': 0.8427339084273391} | {'accuracy': 0.7727708533077661} |
| 0.0577        | 16.0   | 1072   | 1.5435          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.0577        | 17.0   | 1139   | 1.6057          | {'f1': 0.8374253483742535} | {'accuracy': 0.7651006711409396} |
| 0.0577        | 18.0   | 1206   | 1.3399          | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
| 0.0577        | 19.0   | 1273   | 1.4941          | {'f1': 0.8412698412698413} | {'accuracy': 0.7698945349952061} |
| 0.0577        | 20.0   | 1340   | 1.7071          | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.0577        | 21.0   | 1407   | 1.2847          | {'f1': 0.8509316770186335} | {'accuracy': 0.7698945349952061} |
| 0.0577        | 22.0   | 1474   | 1.5951          | {'f1': 0.8489483747609943} | {'accuracy': 0.7727708533077661} |
| 0.0419        | 23.0   | 1541   | 1.3749          | {'f1': 0.8505897771952817} | {'accuracy': 0.7813998082454459} |
| 0.0419        | 24.0   | 1608   | 1.5838          | {'f1': 0.8468468468468469} | {'accuracy': 0.7718120805369127} |
| 0.0419        | 25.0   | 1675   | 2.0442          | {'f1': 0.8368967623701894} | {'accuracy': 0.7440076701821668} |
| 0.0419        | 26.0   | 1742   | 1.7379          | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814}   |
| 0.0419        | 27.0   | 1809   | 1.4958          | {'f1': 0.8419753086419752} | {'accuracy': 0.7545541706615532} |
| 0.0419        | 28.0   | 1876   | 1.6073          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.0419        | 29.0   | 1943   | 1.0036          | {'f1': 0.8360433604336043} | {'accuracy': 0.7679769894534996} |
| 0.049         | 30.0   | 2010   | 1.5835          | {'f1': 0.8313993174061434} | {'accuracy': 0.763183125599233}  |
| 0.049         | 31.0   | 2077   | 1.5472          | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.049         | 32.0   | 2144   | 1.4587          | {'f1': 0.8435643564356435} | {'accuracy': 0.7727708533077661} |
| 0.049         | 33.0   | 2211   | 1.8834          | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
| 0.049         | 34.0   | 2278   | 1.7062          | {'f1': 0.8425584255842559} | {'accuracy': 0.7545541706615532} |
| 0.049         | 35.0   | 2345   | 1.8846          | {'f1': 0.8468137254901961} | {'accuracy': 0.7603068072866731} |
| 0.049         | 36.0   | 2412   | 1.2837          | {'f1': 0.8472843450479234} | {'accuracy': 0.7708533077660594} |
| 0.049         | 37.0   | 2479   | 1.5835          | {'f1': 0.8322411533420708} | {'accuracy': 0.7545541706615532} |
| 0.0471        | 38.0   | 2546   | 1.7109          | {'f1': 0.8350515463917526} | {'accuracy': 0.7545541706615532} |
| 0.0471        | 39.0   | 2613   | 2.3271          | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
| 0.0471        | 40.0   | 2680   | 2.0836          | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
| 0.0471        | 41.0   | 2747   | 1.4783          | {'f1': 0.8168421052631578} | {'accuracy': 0.7497603068072867} |
| 0.0471        | 42.0   | 2814   | 1.5867          | {'f1': 0.8466876971608833} | {'accuracy': 0.7670182166826462} |
| 0.0471        | 43.0   | 2881   | 1.9556          | {'f1': 0.8398791540785498} | {'accuracy': 0.7459252157238735} |
| 0.0471        | 44.0   | 2948   | 1.8652          | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
| 0.0272        | 45.0   | 3015   | 1.4984          | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0272        | 46.0   | 3082   | 2.2976          | {'f1': 0.8434466019417476} | {'accuracy': 0.7526366251198466} |
| 0.0272        | 47.0   | 3149   | 1.7726          | {'f1': 0.8271687962340282} | {'accuracy': 0.7535953978907}    |
| 0.0272        | 48.0   | 3216   | 1.4079          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0272        | 49.0   | 3283   | 1.9601          | {'f1': 0.8388780169602087} | {'accuracy': 0.763183125599233}  |
| 0.0272        | 50.0   | 3350   | 1.7132          | {'f1': 0.8419672131147541} | {'accuracy': 0.7689357622243528} |
| 0.0272        | 51.0   | 3417   | 1.9065          | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.0272        | 52.0   | 3484   | 1.6271          | {'f1': 0.8435374149659863} | {'accuracy': 0.7574304889741131} |
| 0.035         | 53.0   | 3551   | 1.9134          | {'f1': 0.839030453697949}  | {'accuracy': 0.7516778523489933} |
| 0.035         | 54.0   | 3618   | 1.2223          | {'f1': 0.8315412186379928} | {'accuracy': 0.7296260786193672} |
| 0.035         | 55.0   | 3685   | 1.9100          | {'f1': 0.8471953578336557} | {'accuracy': 0.7727708533077661} |
| 0.035         | 56.0   | 3752   | 1.7624          | {'f1': 0.8410513141426784} | {'accuracy': 0.7564717162032598} |
| 0.035         | 57.0   | 3819   | 1.6260          | {'f1': 0.8396846254927727} | {'accuracy': 0.7660594439117929} |
| 0.035         | 58.0   | 3886   | 1.8729          | {'f1': 0.838868388683887}  | {'accuracy': 0.7488015340364333} |
| 0.035         | 59.0   | 3953   | 1.7361          | {'f1': 0.842039800995025}  | {'accuracy': 0.7564717162032598} |
| 0.0425        | 60.0   | 4020   | 2.6457          | {'f1': 0.8328267477203647} | {'accuracy': 0.7363374880153404} |
| 0.0425        | 61.0   | 4087   | 1.6427          | {'f1': 0.8251400124455508} | {'accuracy': 0.7305848513902206} |
| 0.0425        | 62.0   | 4154   | 1.8693          | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
| 0.0425        | 63.0   | 4221   | 1.4339          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0425        | 64.0   | 4288   | 1.9156          | {'f1': 0.8382165605095542} | {'accuracy': 0.7564717162032598} |
| 0.0425        | 65.0   | 4355   | 1.8338          | {'f1': 0.8368146214099217} | {'accuracy': 0.7603068072866731} |
| 0.0425        | 66.0   | 4422   | 1.3498          | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558}   |
| 0.0425        | 67.0   | 4489   | 2.1211          | {'f1': 0.8415584415584416} | {'accuracy': 0.7660594439117929} |
| 0.049         | 68.0   | 4556   | 1.9182          | {'f1': 0.8391332895600787} | {'accuracy': 0.7651006711409396} |
| 0.049         | 69.0   | 4623   | 1.6831          | {'f1': 0.8395061728395061} | {'accuracy': 0.763183125599233}  |
| 0.049         | 70.0   | 4690   | 1.5006          | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.049         | 71.0   | 4757   | 1.1305          | {'f1': 0.821664464993395}  | {'accuracy': 0.7411313518696069} |
| 0.049         | 72.0   | 4824   | 1.8027          | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
| 0.049         | 73.0   | 4891   | 2.4575          | {'f1': 0.8399044205495819} | {'accuracy': 0.7430488974113135} |
| 0.049         | 74.0   | 4958   | 1.5636          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0443        | 75.0   | 5025   | 1.5191          | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0443        | 76.0   | 5092   | 1.4819          | {'f1': 0.8215994531784004} | {'accuracy': 0.7497603068072867} |
| 0.0443        | 77.0   | 5159   | 1.9624          | {'f1': 0.8336448598130841} | {'accuracy': 0.7440076701821668} |
| 0.0443        | 78.0   | 5226   | 2.6006          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0443        | 79.0   | 5293   | 1.7369          | {'f1': 0.8461538461538463} | {'accuracy': 0.7622243528283796} |
| 0.0443        | 80.0   | 5360   | 1.3129          | {'f1': 0.8339920948616601} | {'accuracy': 0.7583892617449665} |
| 0.0443        | 81.0   | 5427   | 2.0260          | {'f1': 0.8430769230769232} | {'accuracy': 0.7555129434324065} |
| 0.0443        | 82.0   | 5494   | 1.4667          | {'f1': 0.8365758754863812} | {'accuracy': 0.7583892617449665} |
| 0.0481        | 83.0   | 5561   | 1.3350          | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
| 0.0481        | 84.0   | 5628   | 1.3928          | {'f1': 0.8393977415307404} | {'accuracy': 0.7545541706615532} |
| 0.0481        | 85.0   | 5695   | 1.7076          | {'f1': 0.8338804990151018} | {'accuracy': 0.7574304889741131} |
| 0.0481        | 86.0   | 5762   | 2.0295          | {'f1': 0.824607329842932}  | {'accuracy': 0.7430488974113135} |
| 0.0481        | 87.0   | 5829   | 1.6961          | {'f1': 0.8389560789306174} | {'accuracy': 0.7574304889741131} |
| 0.0481        | 88.0   | 5896   | 1.5844          | {'f1': 0.824755700325733}  | {'accuracy': 0.7420901246404602} |
| 0.0481        | 89.0   | 5963   | 1.9236          | {'f1': 0.814411964649898}  | {'accuracy': 0.738255033557047}  |
| 0.0483        | 90.0   | 6030   | 1.6411          | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558}   |
| 0.0483        | 91.0   | 6097   | 1.8739          | {'f1': 0.8402439024390244} | {'accuracy': 0.7488015340364333} |
| 0.0483        | 92.0   | 6164   | 1.8395          | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
| 0.0483        | 93.0   | 6231   | 2.0723          | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0483        | 94.0   | 6298   | 1.8634          | {'f1': 0.8415300546448088} | {'accuracy': 0.7497603068072867} |
| 0.0483        | 95.0   | 6365   | 1.9256          | {'f1': 0.8295662797800855} | {'accuracy': 0.7325023969319271} |
| 0.0483        | 96.0   | 6432   | 2.0026          | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0483        | 97.0   | 6499   | 2.0732          | {'f1': 0.8286384976525822} | {'accuracy': 0.7200383509108341} |
| 0.0384        | 98.0   | 6566   | 1.8737          | {'f1': 0.8503532434168274} | {'accuracy': 0.7766059443911792} |
| 0.0384        | 99.0   | 6633   | 2.0952          | {'f1': 0.8365444375388441} | {'accuracy': 0.74784276126558}   |
| 0.0384        | 100.0  | 6700   | 2.4121          | {'f1': 0.8460591133004927} | {'accuracy': 0.7603068072866731} |
| 0.0384        | 101.0  | 6767   | 1.8195          | {'f1': 0.8396464646464646} | {'accuracy': 0.7564717162032598} |
| 0.0384        | 102.0  | 6834   | 1.4623          | {'f1': 0.797486033519553}  | {'accuracy': 0.7219558964525408} |
| 0.0384        | 103.0  | 6901   | 2.1245          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0384        | 104.0  | 6968   | 1.6440          | {'f1': 0.8405797101449276} | {'accuracy': 0.7679769894534996} |
| 0.038         | 105.0  | 7035   | 1.9479          | {'f1': 0.8314754098360656} | {'accuracy': 0.7535953978907}    |
| 0.038         | 106.0  | 7102   | 1.8748          | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
| 0.038         | 107.0  | 7169   | 1.4211          | {'f1': 0.831151832460733}  | {'accuracy': 0.7526366251198466} |
| 0.038         | 108.0  | 7236   | 1.9897          | {'f1': 0.823529411764706}  | {'accuracy': 0.7325023969319271} |
| 0.038         | 109.0  | 7303   | 1.7817          | {'f1': 0.8084239130434783} | {'accuracy': 0.7296260786193672} |
| 0.038         | 110.0  | 7370   | 1.8589          | {'f1': 0.8134920634920636} | {'accuracy': 0.7296260786193672} |
| 0.038         | 111.0  | 7437   | 2.0391          | {'f1': 0.8152454780361758} | {'accuracy': 0.725790987535954}  |
| 0.0532        | 112.0  | 7504   | 1.6395          | {'f1': 0.828996282527881}  | {'accuracy': 0.7353787152444871} |
| 0.0532        | 113.0  | 7571   | 2.2076          | {'f1': 0.8341645885286784} | {'accuracy': 0.7449664429530202} |
| 0.0532        | 114.0  | 7638   | 2.4226          | {'f1': 0.8337378640776699} | {'accuracy': 0.7372962607861937} |
| 0.0532        | 115.0  | 7705   | 1.2817          | {'f1': 0.8342714196372732} | {'accuracy': 0.7459252157238735} |
| 0.0532        | 116.0  | 7772   | 2.2737          | {'f1': 0.8317073170731707} | {'accuracy': 0.7353787152444871} |
| 0.0532        | 117.0  | 7839   | 1.9394          | {'f1': 0.8260325406758449} | {'accuracy': 0.7334611697027804} |
| 0.0532        | 118.0  | 7906   | 2.2936          | {'f1': 0.8234536082474228} | {'accuracy': 0.7372962607861937} |
| 0.0532        | 119.0  | 7973   | 1.8452          | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
| 0.049         | 120.0  | 8040   | 2.4783          | {'f1': 0.8275449101796407} | {'accuracy': 0.7238734419942474} |
| 0.049         | 121.0  | 8107   | 2.1361          | {'f1': 0.8167202572347267} | {'accuracy': 0.7267497603068073} |
| 0.049         | 122.0  | 8174   | 2.0442          | {'f1': 0.830848995463383}  | {'accuracy': 0.7497603068072867} |
| 0.049         | 123.0  | 8241   | 2.4047          | {'f1': 0.8211920529801324} | {'accuracy': 0.7411313518696069} |
| 0.049         | 124.0  | 8308   | 1.4207          | {'f1': 0.8226018396846255} | {'accuracy': 0.7411313518696069} |
| 0.049         | 125.0  | 8375   | 2.2460          | {'f1': 0.8252184769038702} | {'accuracy': 0.7315436241610739} |
| 0.049         | 126.0  | 8442   | 2.6570          | {'f1': 0.8257211538461539} | {'accuracy': 0.7219558964525408} |
| 0.0343        | 127.0  | 8509   | 2.5992          | {'f1': 0.8293867638129933} | {'accuracy': 0.7305848513902206} |
| 0.0343        | 128.0  | 8576   | 2.6733          | {'f1': 0.8308823529411765} | {'accuracy': 0.7353787152444871} |
| 0.0343        | 129.0  | 8643   | 2.6073          | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
| 0.0343        | 130.0  | 8710   | 1.9251          | {'f1': 0.805668016194332}  | {'accuracy': 0.7238734419942474} |
| 0.0343        | 131.0  | 8777   | 1.6319          | {'f1': 0.8204456094364352} | {'accuracy': 0.7372962607861937} |
| 0.0343        | 132.0  | 8844   | 1.9498          | {'f1': 0.8269230769230769} | {'accuracy': 0.7411313518696069} |
| 0.0343        | 133.0  | 8911   | 1.8111          | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
| 0.0343        | 134.0  | 8978   | 1.9456          | {'f1': 0.8246753246753247} | {'accuracy': 0.7411313518696069} |
| 0.0361        | 135.0  | 9045   | 2.1826          | {'f1': 0.8220937700706487} | {'accuracy': 0.7344199424736337} |
| 0.0361        | 136.0  | 9112   | 1.5774          | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
| 0.0361        | 137.0  | 9179   | 2.4278          | {'f1': 0.8249075215782984} | {'accuracy': 0.7277085330776606} |
| 0.0361        | 138.0  | 9246   | 1.3895          | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
| 0.0361        | 139.0  | 9313   | 2.0902          | {'f1': 0.8128342245989304} | {'accuracy': 0.7315436241610739} |
| 0.0361        | 140.0  | 9380   | 2.0259          | {'f1': 0.8232354778263585} | {'accuracy': 0.7286673058485139} |
| 0.0361        | 141.0  | 9447   | 2.1325          | {'f1': 0.825515947467167}  | {'accuracy': 0.7325023969319271} |
| 0.0562        | 142.0  | 9514   | 2.0610          | {'f1': 0.8207426376440461} | {'accuracy': 0.7315436241610739} |
| 0.0562        | 143.0  | 9581   | 1.4215          | {'f1': 0.8223938223938223} | {'accuracy': 0.7353787152444871} |
| 0.0562        | 144.0  | 9648   | 1.4644          | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047}  |
| 0.0562        | 145.0  | 9715   | 2.3814          | {'f1': 0.8266003729024238} | {'accuracy': 0.7325023969319271} |
| 0.0562        | 146.0  | 9782   | 2.2019          | {'f1': 0.828334396936822}  | {'accuracy': 0.7420901246404602} |
| 0.0562        | 147.0  | 9849   | 2.4529          | {'f1': 0.8213836477987422} | {'accuracy': 0.7277085330776606} |
| 0.0562        | 148.0  | 9916   | 1.8754          | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
| 0.0562        | 149.0  | 9983   | 2.0815          | {'f1': 0.8332329921733895} | {'accuracy': 0.7344199424736337} |
| 0.0457        | 150.0  | 10050  | 1.8325          | {'f1': 0.8277634961439588} | {'accuracy': 0.7430488974113135} |
| 0.0457        | 151.0  | 10117  | 1.9036          | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
| 0.0457        | 152.0  | 10184  | 1.8461          | {'f1': 0.8303516347933374} | {'accuracy': 0.7363374880153404} |
| 0.0457        | 153.0  | 10251  | 1.7572          | {'f1': 0.8288834951456312} | {'accuracy': 0.7296260786193672} |
| 0.0457        | 154.0  | 10318  | 1.5614          | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047}  |
| 0.0457        | 155.0  | 10385  | 1.3556          | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.0457        | 156.0  | 10452  | 1.7987          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0464        | 157.0  | 10519  | 1.8711          | {'f1': 0.827930174563591}  | {'accuracy': 0.7353787152444871} |
| 0.0464        | 158.0  | 10586  | 1.9391          | {'f1': 0.8280407429598563} | {'accuracy': 0.7248322147651006} |
| 0.0464        | 159.0  | 10653  | 1.3466          | {'f1': 0.8326797385620914} | {'accuracy': 0.7545541706615532} |
| 0.0464        | 160.0  | 10720  | 2.0257          | {'f1': 0.8271527341294783} | {'accuracy': 0.7363374880153404} |
| 0.0464        | 161.0  | 10787  | 1.5463          | {'f1': 0.832089552238806}  | {'accuracy': 0.7411313518696069} |
| 0.0464        | 162.0  | 10854  | 2.1249          | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
| 0.0464        | 163.0  | 10921  | 1.5738          | {'f1': 0.8220064724919095} | {'accuracy': 0.7363374880153404} |
| 0.0464        | 164.0  | 10988  | 1.4705          | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
| 0.0465        | 165.0  | 11055  | 2.3533          | {'f1': 0.8257107540173053} | {'accuracy': 0.7296260786193672} |
| 0.0465        | 166.0  | 11122  | 2.3995          | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954}  |
| 0.0465        | 167.0  | 11189  | 2.1748          | {'f1': 0.8285714285714286} | {'accuracy': 0.7238734419942474} |
| 0.0465        | 168.0  | 11256  | 2.0399          | {'f1': 0.8142857142857142} | {'accuracy': 0.725790987535954}  |
| 0.0465        | 169.0  | 11323  | 2.0595          | {'f1': 0.8274203247143717} | {'accuracy': 0.7248322147651006} |
| 0.0465        | 170.0  | 11390  | 1.9879          | {'f1': 0.8194271481942714} | {'accuracy': 0.7219558964525408} |
| 0.0465        | 171.0  | 11457  | 3.0808          | {'f1': 0.8266993263931415} | {'accuracy': 0.7286673058485139} |
| 0.0401        | 172.0  | 11524  | 2.1377          | {'f1': 0.8253968253968254} | {'accuracy': 0.7363374880153404} |
| 0.0401        | 173.0  | 11591  | 2.5008          | {'f1': 0.8276714021000617} | {'accuracy': 0.7325023969319271} |
| 0.0401        | 174.0  | 11658  | 2.1683          | {'f1': 0.8300060496067755} | {'accuracy': 0.7305848513902206} |
| 0.0401        | 175.0  | 11725  | 2.1014          | {'f1': 0.8314199395770392} | {'accuracy': 0.7325023969319271} |
| 0.0401        | 176.0  | 11792  | 2.4454          | {'f1': 0.8363858363858364} | {'accuracy': 0.7430488974113135} |
| 0.0401        | 177.0  | 11859  | 2.2738          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0401        | 178.0  | 11926  | 2.0284          | {'f1': 0.8232258064516128} | {'accuracy': 0.7372962607861937} |
| 0.0401        | 179.0  | 11993  | 1.7525          | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
| 0.0439        | 180.0  | 12060  | 1.9236          | {'f1': 0.8314176245210728} | {'accuracy': 0.7468839884947267} |
| 0.0439        | 181.0  | 12127  | 2.2251          | {'f1': 0.8356579745300181} | {'accuracy': 0.7401725790987536} |
| 0.0439        | 182.0  | 12194  | 1.6463          | {'f1': 0.8264026402640263} | {'accuracy': 0.74784276126558}   |
| 0.0439        | 183.0  | 12261  | 2.3242          | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558}   |
| 0.0439        | 184.0  | 12328  | 2.4033          | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
| 0.0439        | 185.0  | 12395  | 1.5165          | {'f1': 0.819607843137255}  | {'accuracy': 0.7353787152444871} |
| 0.0439        | 186.0  | 12462  | 2.2202          | {'f1': 0.8214747736093144} | {'accuracy': 0.7353787152444871} |
| 0.0346        | 187.0  | 12529  | 1.8881          | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
| 0.0346        | 188.0  | 12596  | 1.9499          | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
| 0.0346        | 189.0  | 12663  | 1.9087          | {'f1': 0.8335373317013464} | {'accuracy': 0.7392138063279002} |
| 0.0346        | 190.0  | 12730  | 2.1890          | {'f1': 0.8361162646876934} | {'accuracy': 0.7459252157238735} |
| 0.0346        | 191.0  | 12797  | 2.2057          | {'f1': 0.8351648351648352} | {'accuracy': 0.7555129434324065} |
| 0.0346        | 192.0  | 12864  | 2.2961          | {'f1': 0.8254164096236891} | {'accuracy': 0.7286673058485139} |
| 0.0346        | 193.0  | 12931  | 2.4792          | {'f1': 0.8232445520581113} | {'accuracy': 0.7200383509108341} |
| 0.0346        | 194.0  | 12998  | 1.7966          | {'f1': 0.8299748110831233} | {'accuracy': 0.7411313518696069} |
| 0.0337        | 195.0  | 13065  | 2.2611          | {'f1': 0.828828828828829}  | {'accuracy': 0.7267497603068073} |
| 0.0337        | 196.0  | 13132  | 2.1980          | {'f1': 0.8204787234042553} | {'accuracy': 0.7411313518696069} |
| 0.0337        | 197.0  | 13199  | 2.3403          | {'f1': 0.8252007411982705} | {'accuracy': 0.7286673058485139} |
| 0.0337        | 198.0  | 13266  | 2.3529          | {'f1': 0.8277130594727161} | {'accuracy': 0.7305848513902206} |
| 0.0337        | 199.0  | 13333  | 2.2663          | {'f1': 0.8249221183800622} | {'accuracy': 0.7305848513902206} |
| 0.0337        | 200.0  | 13400  | 1.7595          | {'f1': 0.8189873417721518} | {'accuracy': 0.725790987535954}  |
| 0.0337        | 201.0  | 13467  | 2.4966          | {'f1': 0.8270401948842875} | {'accuracy': 0.7277085330776606} |
| 0.0481        | 202.0  | 13534  | 2.6246          | {'f1': 0.8272841051314144} | {'accuracy': 0.7353787152444871} |
| 0.0481        | 203.0  | 13601  | 2.5412          | {'f1': 0.8177014531043592} | {'accuracy': 0.7353787152444871} |
| 0.0481        | 204.0  | 13668  | 2.5624          | {'f1': 0.819693094629156}  | {'accuracy': 0.7296260786193672} |
| 0.0481        | 205.0  | 13735  | 2.6099          | {'f1': 0.8259010384850337} | {'accuracy': 0.7267497603068073} |
| 0.0481        | 206.0  | 13802  | 2.6160          | {'f1': 0.8220779220779222} | {'accuracy': 0.7372962607861937} |
| 0.0481        | 207.0  | 13869  | 2.7832          | {'f1': 0.8259833134684148} | {'accuracy': 0.7200383509108341} |
| 0.0481        | 208.0  | 13936  | 1.5844          | {'f1': 0.8261997405966278} | {'accuracy': 0.7430488974113135} |
| 0.0233        | 209.0  | 14003  | 2.2950          | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
| 0.0233        | 210.0  | 14070  | 2.4042          | {'f1': 0.8208020050125312} | {'accuracy': 0.725790987535954}  |
| 0.0233        | 211.0  | 14137  | 2.6540          | {'f1': 0.8175182481751825} | {'accuracy': 0.7123681687440077} |
| 0.0233        | 212.0  | 14204  | 1.8877          | {'f1': 0.8119062697910071} | {'accuracy': 0.7152444870565676} |
| 0.0233        | 213.0  | 14271  | 2.0722          | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
| 0.0233        | 214.0  | 14338  | 1.7755          | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
| 0.0233        | 215.0  | 14405  | 2.0671          | {'f1': 0.8277571251548947} | {'accuracy': 0.7334611697027804} |
| 0.0233        | 216.0  | 14472  | 2.4026          | {'f1': 0.8092783505154639} | {'accuracy': 0.716203259827421}  |
| 0.0482        | 217.0  | 14539  | 1.1362          | {'f1': 0.8232189973614776} | {'accuracy': 0.7430488974113135} |
| 0.0482        | 218.0  | 14606  | 2.0350          | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
| 0.0482        | 219.0  | 14673  | 1.9862          | {'f1': 0.8288177339901478} | {'accuracy': 0.7334611697027804} |
| 0.0482        | 220.0  | 14740  | 2.2265          | {'f1': 0.810077519379845}  | {'accuracy': 0.7181208053691275} |
| 0.0482        | 221.0  | 14807  | 1.8522          | {'f1': 0.8204472843450481} | {'accuracy': 0.7305848513902206} |
| 0.0482        | 222.0  | 14874  | 1.7828          | {'f1': 0.8246268656716419} | {'accuracy': 0.7296260786193672} |
| 0.0482        | 223.0  | 14941  | 1.5260          | {'f1': 0.8165079365079365} | {'accuracy': 0.7229146692233941} |
| 0.0785        | 224.0  | 15008  | 2.1516          | {'f1': 0.8284313725490196} | {'accuracy': 0.7315436241610739} |
| 0.0785        | 225.0  | 15075  | 1.8078          | {'f1': 0.8276729559748428} | {'accuracy': 0.7372962607861937} |
| 0.0785        | 226.0  | 15142  | 1.5725          | {'f1': 0.8275441803778184} | {'accuracy': 0.7286673058485139} |
| 0.0785        | 227.0  | 15209  | 1.6072          | {'f1': 0.8305190744215134} | {'accuracy': 0.7401725790987536} |
| 0.0785        | 228.0  | 15276  | 1.5795          | {'f1': 0.8318042813455658} | {'accuracy': 0.7363374880153404} |
| 0.0785        | 229.0  | 15343  | 1.9772          | {'f1': 0.8307880268784361} | {'accuracy': 0.7344199424736337} |
| 0.0785        | 230.0  | 15410  | 1.9313          | {'f1': 0.8223350253807107} | {'accuracy': 0.7315436241610739} |
| 0.0785        | 231.0  | 15477  | 2.3155          | {'f1': 0.8236729713239781} | {'accuracy': 0.7229146692233941} |
| 0.0437        | 232.0  | 15544  | 2.0415          | {'f1': 0.8269604666234608} | {'accuracy': 0.7440076701821668} |
| 0.0437        | 233.0  | 15611  | 2.2890          | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0437        | 234.0  | 15678  | 2.0242          | {'f1': 0.8252299605781866} | {'accuracy': 0.7449664429530202} |
| 0.0437        | 235.0  | 15745  | 2.5560          | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954}  |
| 0.0437        | 236.0  | 15812  | 2.1370          | {'f1': 0.820066889632107}  | {'accuracy': 0.7420901246404602} |
| 0.0437        | 237.0  | 15879  | 2.3976          | {'f1': 0.8201160541586073} | {'accuracy': 0.7325023969319271} |
| 0.0437        | 238.0  | 15946  | 2.0668          | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.029         | 239.0  | 16013  | 2.6144          | {'f1': 0.8304878048780489} | {'accuracy': 0.7334611697027804} |
| 0.029         | 240.0  | 16080  | 2.4390          | {'f1': 0.823076923076923}  | {'accuracy': 0.7353787152444871} |
| 0.029         | 241.0  | 16147  | 2.6111          | {'f1': 0.8302583025830258} | {'accuracy': 0.7353787152444871} |
| 0.029         | 242.0  | 16214  | 2.1808          | {'f1': 0.8100929614873839} | {'accuracy': 0.725790987535954}  |
| 0.029         | 243.0  | 16281  | 2.5292          | {'f1': 0.8259551243177684} | {'accuracy': 0.7248322147651006} |
| 0.029         | 244.0  | 16348  | 2.8765          | {'f1': 0.8240291262135921} | {'accuracy': 0.7219558964525408} |
| 0.029         | 245.0  | 16415  | 2.1378          | {'f1': 0.8258145363408521} | {'accuracy': 0.7334611697027804} |
| 0.029         | 246.0  | 16482  | 2.7818          | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954}  |
| 0.0275        | 247.0  | 16549  | 2.3042          | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
| 0.0275        | 248.0  | 16616  | 2.1543          | {'f1': 0.8292985723153321} | {'accuracy': 0.7363374880153404} |
| 0.0275        | 249.0  | 16683  | 1.8719          | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047}  |
| 0.0275        | 250.0  | 16750  | 1.8956          | {'f1': 0.8290341931613677} | {'accuracy': 0.7267497603068073} |
| 0.0275        | 251.0  | 16817  | 1.8268          | {'f1': 0.835538752362949}  | {'accuracy': 0.7497603068072867} |
| 0.0275        | 252.0  | 16884  | 1.9151          | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.0275        | 253.0  | 16951  | 1.5773          | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
| 0.0461        | 254.0  | 17018  | 2.0981          | {'f1': 0.8206979542719615} | {'accuracy': 0.7142857142857143} |
| 0.0461        | 255.0  | 17085  | 2.0737          | {'f1': 0.8252605763335378} | {'accuracy': 0.7267497603068073} |
| 0.0461        | 256.0  | 17152  | 1.8176          | {'f1': 0.8289067325509574} | {'accuracy': 0.7344199424736337} |
| 0.0461        | 257.0  | 17219  | 1.6245          | {'f1': 0.8245505269683819} | {'accuracy': 0.7286673058485139} |
| 0.0461        | 258.0  | 17286  | 1.8441          | {'f1': 0.8164598301763553} | {'accuracy': 0.7305848513902206} |
| 0.0461        | 259.0  | 17353  | 1.9484          | {'f1': 0.8144853875476493} | {'accuracy': 0.7200383509108341} |
| 0.0461        | 260.0  | 17420  | 2.1485          | {'f1': 0.8215403882279273} | {'accuracy': 0.7267497603068073} |
| 0.0461        | 261.0  | 17487  | 1.9363          | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
| 0.0489        | 262.0  | 17554  | 2.2427          | {'f1': 0.8221092757306225} | {'accuracy': 0.7315436241610739} |
| 0.0489        | 263.0  | 17621  | 2.2635          | {'f1': 0.820726622989875}  | {'accuracy': 0.7114093959731543} |
| 0.0489        | 264.0  | 17688  | 2.4201          | {'f1': 0.8104993597951344} | {'accuracy': 0.716203259827421}  |
| 0.0489        | 265.0  | 17755  | 1.9315          | {'f1': 0.8233861144945189} | {'accuracy': 0.7219558964525408} |
| 0.0489        | 266.0  | 17822  | 2.3904          | {'f1': 0.8264984227129337} | {'accuracy': 0.7363374880153404} |
| 0.0489        | 267.0  | 17889  | 2.6423          | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
| 0.0489        | 268.0  | 17956  | 2.2025          | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
| 0.0288        | 269.0  | 18023  | 1.9874          | {'f1': 0.8073979591836735} | {'accuracy': 0.710450623202301}  |
| 0.0288        | 270.0  | 18090  | 2.0267          | {'f1': 0.828048780487805}  | {'accuracy': 0.7296260786193672} |
| 0.0288        | 271.0  | 18157  | 2.2352          | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
| 0.0288        | 272.0  | 18224  | 1.9815          | {'f1': 0.8220706757594544} | {'accuracy': 0.7248322147651006} |
| 0.0288        | 273.0  | 18291  | 2.7236          | {'f1': 0.8248932275777914} | {'accuracy': 0.7248322147651006} |
| 0.0288        | 274.0  | 18358  | 2.1210          | {'f1': 0.8193384223918576} | {'accuracy': 0.7277085330776606} |
| 0.0288        | 275.0  | 18425  | 2.5776          | {'f1': 0.8248792270531401} | {'accuracy': 0.7219558964525408} |
| 0.0288        | 276.0  | 18492  | 2.1042          | {'f1': 0.8208508088675853} | {'accuracy': 0.713326941514861}  |
| 0.0416        | 277.0  | 18559  | 1.8552          | {'f1': 0.8140262993112085} | {'accuracy': 0.7152444870565676} |
| 0.0416        | 278.0  | 18626  | 2.0734          | {'f1': 0.8002610966057441} | {'accuracy': 0.7066155321188878} |
| 0.0416        | 279.0  | 18693  | 2.3946          | {'f1': 0.821556886227545}  | {'accuracy': 0.7142857142857143} |
| 0.0416        | 280.0  | 18760  | 1.7123          | {'f1': 0.8124174372523117} | {'accuracy': 0.7277085330776606} |
| 0.0416        | 281.0  | 18827  | 1.9855          | {'f1': 0.8280024140012069} | {'accuracy': 0.7267497603068073} |
| 0.0416        | 282.0  | 18894  | 2.3011          | {'f1': 0.8117048346055981} | {'accuracy': 0.716203259827421}  |
| 0.0416        | 283.0  | 18961  | 2.1751          | {'f1': 0.8228004956629492} | {'accuracy': 0.725790987535954}  |
| 0.0462        | 284.0  | 19028  | 2.5432          | {'f1': 0.8175092478421702} | {'accuracy': 0.716203259827421}  |
| 0.0462        | 285.0  | 19095  | 2.2849          | {'f1': 0.8243412797992472} | {'accuracy': 0.7315436241610739} |
| 0.0462        | 286.0  | 19162  | 1.9859          | {'f1': 0.8130899937067337} | {'accuracy': 0.7152444870565676} |
| 0.0462        | 287.0  | 19229  | 2.2404          | {'f1': 0.7999999999999999} | {'accuracy': 0.7142857142857143} |
| 0.0462        | 288.0  | 19296  | 2.1723          | {'f1': 0.8209331651954603} | {'accuracy': 0.7277085330776606} |
| 0.0462        | 289.0  | 19363  | 1.9516          | {'f1': 0.823529411764706}  | {'accuracy': 0.7209971236816874} |
| 0.0462        | 290.0  | 19430  | 2.1546          | {'f1': 0.8211330362826226} | {'accuracy': 0.7305848513902206} |
| 0.0462        | 291.0  | 19497  | 2.9390          | {'f1': 0.8252080856123662} | {'accuracy': 0.7181208053691275} |
| 0.041         | 292.0  | 19564  | 2.3201          | {'f1': 0.8222506393861893} | {'accuracy': 0.7334611697027804} |
| 0.041         | 293.0  | 19631  | 2.6118          | {'f1': 0.8179611650485438} | {'accuracy': 0.7123681687440077} |
| 0.041         | 294.0  | 19698  | 1.7692          | {'f1': 0.8093434343434344} | {'accuracy': 0.710450623202301}  |
| 0.041         | 295.0  | 19765  | 2.5789          | {'f1': 0.8227300802964793} | {'accuracy': 0.7248322147651006} |
| 0.041         | 296.0  | 19832  | 2.0399          | {'f1': 0.8208673790069139} | {'accuracy': 0.7267497603068073} |
| 0.041         | 297.0  | 19899  | 2.6656          | {'f1': 0.8179581795817958} | {'accuracy': 0.716203259827421}  |
| 0.041         | 298.0  | 19966  | 2.2756          | {'f1': 0.8146766169154228} | {'accuracy': 0.7142857142857143} |
| 0.0474        | 299.0  | 20033  | 1.9462          | {'f1': 0.8010171646535282} | {'accuracy': 0.6999041227229147} |
| 0.0474        | 300.0  | 20100  | 2.2218          | {'f1': 0.8235294117647058} | {'accuracy': 0.7267497603068073} |
| 0.0474        | 301.0  | 20167  | 2.2877          | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301}  |
| 0.0474        | 302.0  | 20234  | 2.6322          | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301}  |
| 0.0474        | 303.0  | 20301  | 2.2655          | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
| 0.0474        | 304.0  | 20368  | 2.2003          | {'f1': 0.8149100257069408} | {'accuracy': 0.7238734419942474} |
| 0.0474        | 305.0  | 20435  | 2.6404          | {'f1': 0.807667731629393}  | {'accuracy': 0.7114093959731543} |
| 0.0324        | 306.0  | 20502  | 2.7714          | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
| 0.0324        | 307.0  | 20569  | 1.7257          | {'f1': 0.8030592734225622} | {'accuracy': 0.7037392138063279} |
| 0.0324        | 308.0  | 20636  | 2.6082          | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
| 0.0324        | 309.0  | 20703  | 2.1809          | {'f1': 0.794648829431438}  | {'accuracy': 0.7056567593480345} |
| 0.0324        | 310.0  | 20770  | 2.9476          | {'f1': 0.816403785488959}  | {'accuracy': 0.7209971236816874} |
| 0.0324        | 311.0  | 20837  | 2.7923          | {'f1': 0.8253195374315277} | {'accuracy': 0.7248322147651006} |
| 0.0324        | 312.0  | 20904  | 2.2389          | {'f1': 0.8131313131313133} | {'accuracy': 0.716203259827421}  |
| 0.0324        | 313.0  | 20971  | 1.7982          | {'f1': 0.8032454361054766} | {'accuracy': 0.7209971236816874} |
| 0.0382        | 314.0  | 21038  | 2.6633          | {'f1': 0.8240963855421687} | {'accuracy': 0.7200383509108341} |
| 0.0382        | 315.0  | 21105  | 2.3866          | {'f1': 0.8121137206427689} | {'accuracy': 0.7085330776605945} |
| 0.0382        | 316.0  | 21172  | 2.5053          | {'f1': 0.7994687915006641} | {'accuracy': 0.710450623202301}  |
| 0.0382        | 317.0  | 21239  | 2.2207          | {'f1': 0.8101910828025478} | {'accuracy': 0.7142857142857143} |
| 0.0382        | 318.0  | 21306  | 2.7643          | {'f1': 0.8096415327564895} | {'accuracy': 0.7046979865771812} |
| 0.0382        | 319.0  | 21373  | 2.3712          | {'f1': 0.8113564668769717} | {'accuracy': 0.713326941514861}  |
| 0.0382        | 320.0  | 21440  | 2.2996          | {'f1': 0.8206388206388205} | {'accuracy': 0.7200383509108341} |
| 0.0418        | 321.0  | 21507  | 2.5491          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.0418        | 322.0  | 21574  | 2.7706          | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301}  |
| 0.0418        | 323.0  | 21641  | 2.8649          | {'f1': 0.8020499679692504} | {'accuracy': 0.7037392138063279} |
| 0.0418        | 324.0  | 21708  | 2.6459          | {'f1': 0.8129272840273463} | {'accuracy': 0.7114093959731543} |
| 0.0418        | 325.0  | 21775  | 2.5675          | {'f1': 0.801819363222872}  | {'accuracy': 0.7075743048897412} |
| 0.0418        | 326.0  | 21842  | 2.5088          | {'f1': 0.8041504539559015} | {'accuracy': 0.710450623202301}  |
| 0.0418        | 327.0  | 21909  | 2.3865          | {'f1': 0.813102119460501}  | {'accuracy': 0.7209971236816874} |
| 0.0418        | 328.0  | 21976  | 1.7388          | {'f1': 0.8135593220338984} | {'accuracy': 0.7152444870565676} |
| 0.0409        | 329.0  | 22043  | 2.2660          | {'f1': 0.8120590121872995} | {'accuracy': 0.7190795781399808} |
| 0.0409        | 330.0  | 22110  | 2.1168          | {'f1': 0.8243589743589743} | {'accuracy': 0.7372962607861937} |
| 0.0409        | 331.0  | 22177  | 1.7795          | {'f1': 0.808860759493671}  | {'accuracy': 0.710450623202301}  |
| 0.0409        | 332.0  | 22244  | 2.4792          | {'f1': 0.8220338983050848} | {'accuracy': 0.7181208053691275} |
| 0.0409        | 333.0  | 22311  | 2.6088          | {'f1': 0.8208232445520581} | {'accuracy': 0.716203259827421}  |
| 0.0409        | 334.0  | 22378  | 2.1811          | {'f1': 0.8202044497895369} | {'accuracy': 0.713326941514861}  |
| 0.0409        | 335.0  | 22445  | 2.2655          | {'f1': 0.8227383863080685} | {'accuracy': 0.7219558964525408} |
| 0.0527        | 336.0  | 22512  | 2.4099          | {'f1': 0.8207024029574863} | {'accuracy': 0.7209971236816874} |
| 0.0527        | 337.0  | 22579  | 2.3964          | {'f1': 0.8268864933417883} | {'accuracy': 0.738255033557047}  |
| 0.0527        | 338.0  | 22646  | 2.4282          | {'f1': 0.8138195777351248} | {'accuracy': 0.7209971236816874} |
| 0.0527        | 339.0  | 22713  | 2.3533          | {'f1': 0.8166449934980494} | {'accuracy': 0.7296260786193672} |
| 0.0527        | 340.0  | 22780  | 2.1900          | {'f1': 0.8077419354838709} | {'accuracy': 0.7142857142857143} |
| 0.0527        | 341.0  | 22847  | 2.4321          | {'f1': 0.8122215149586252} | {'accuracy': 0.7171620325982742} |
| 0.0527        | 342.0  | 22914  | 2.3091          | {'f1': 0.8198757763975155} | {'accuracy': 0.7219558964525408} |
| 0.0527        | 343.0  | 22981  | 2.4390          | {'f1': 0.8176656151419559} | {'accuracy': 0.7229146692233941} |
| 0.0289        | 344.0  | 23048  | 2.5702          | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861}  |
| 0.0289        | 345.0  | 23115  | 1.9220          | {'f1': 0.8176254589963282} | {'accuracy': 0.7142857142857143} |
| 0.0289        | 346.0  | 23182  | 2.3594          | {'f1': 0.8113329040566645} | {'accuracy': 0.7190795781399808} |
| 0.0289        | 347.0  | 23249  | 2.3536          | {'f1': 0.8052287581699347} | {'accuracy': 0.7142857142857143} |
| 0.0289        | 348.0  | 23316  | 2.2539          | {'f1': 0.8160200250312891} | {'accuracy': 0.7181208053691275} |
| 0.0289        | 349.0  | 23383  | 2.3483          | {'f1': 0.8212974296205632} | {'accuracy': 0.7200383509108341} |
| 0.0289        | 350.0  | 23450  | 1.9325          | {'f1': 0.8212739641311071} | {'accuracy': 0.7229146692233941} |
| 0.0405        | 351.0  | 23517  | 2.4634          | {'f1': 0.8167604752970606} | {'accuracy': 0.7190795781399808} |
| 0.0405        | 352.0  | 23584  | 2.2731          | {'f1': 0.8167475728155339} | {'accuracy': 0.710450623202301}  |
| 0.0405        | 353.0  | 23651  | 2.0062          | {'f1': 0.7892976588628762} | {'accuracy': 0.697986577181208}  |
| 0.0405        | 354.0  | 23718  | 1.9145          | {'f1': 0.8159392789373814} | {'accuracy': 0.7209971236816874} |
| 0.0405        | 355.0  | 23785  | 2.9562          | {'f1': 0.81375}            | {'accuracy': 0.7142857142857143} |
| 0.0405        | 356.0  | 23852  | 2.9342          | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301}  |
| 0.0405        | 357.0  | 23919  | 2.5976          | {'f1': 0.8152866242038218} | {'accuracy': 0.7219558964525408} |
| 0.0405        | 358.0  | 23986  | 1.6304          | {'f1': 0.7869071476285905} | {'accuracy': 0.6941514860977949} |
| 0.0457        | 359.0  | 24053  | 2.1675          | {'f1': 0.8139682539682539} | {'accuracy': 0.7190795781399808} |
| 0.0457        | 360.0  | 24120  | 1.7896          | {'f1': 0.806679511881824}  | {'accuracy': 0.7114093959731543} |
| 0.0457        | 361.0  | 24187  | 2.2589          | {'f1': 0.8126582278481014} | {'accuracy': 0.716203259827421}  |
| 0.0457        | 362.0  | 24254  | 1.9431          | {'f1': 0.8046124279308136} | {'accuracy': 0.7075743048897412} |
| 0.0457        | 363.0  | 24321  | 2.3498          | {'f1': 0.8158236057068741} | {'accuracy': 0.7277085330776606} |
| 0.0457        | 364.0  | 24388  | 2.5436          | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954}  |
| 0.0457        | 365.0  | 24455  | 1.9622          | {'f1': 0.8308065494238933} | {'accuracy': 0.7325023969319271} |
| 0.0452        | 366.0  | 24522  | 1.6269          | {'f1': 0.8160843770599867} | {'accuracy': 0.7325023969319271} |
| 0.0452        | 367.0  | 24589  | 2.1990          | {'f1': 0.8069722401549386} | {'accuracy': 0.713326941514861}  |
| 0.0452        | 368.0  | 24656  | 2.4314          | {'f1': 0.8012618296529969} | {'accuracy': 0.697986577181208}  |
| 0.0452        | 369.0  | 24723  | 2.0470          | {'f1': 0.8100313479623824} | {'accuracy': 0.7094918504314478} |
| 0.0452        | 370.0  | 24790  | 1.7554          | {'f1': 0.8146311221326721} | {'accuracy': 0.713326941514861}  |
| 0.0452        | 371.0  | 24857  | 2.1574          | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
| 0.0452        | 372.0  | 24924  | 2.2657          | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421}  |
| 0.0452        | 373.0  | 24991  | 2.3055          | {'f1': 0.8071693448702103} | {'accuracy': 0.700862895493768}  |
| 0.0914        | 374.0  | 25058  | 2.3216          | {'f1': 0.8025974025974024} | {'accuracy': 0.7085330776605945} |
| 0.0914        | 375.0  | 25125  | 2.2130          | {'f1': 0.7994808565866321} | {'accuracy': 0.7037392138063279} |
| 0.0914        | 376.0  | 25192  | 2.2914          | {'f1': 0.8099934253780406} | {'accuracy': 0.7229146692233941} |
| 0.0914        | 377.0  | 25259  | 2.5699          | {'f1': 0.8206083178150217} | {'accuracy': 0.7229146692233941} |
| 0.0914        | 378.0  | 25326  | 1.9869          | {'f1': 0.8013071895424836} | {'accuracy': 0.7085330776605945} |
| 0.0914        | 379.0  | 25393  | 2.1948          | {'f1': 0.8162230671736376} | {'accuracy': 0.7219558964525408} |
| 0.0914        | 380.0  | 25460  | 2.1536          | {'f1': 0.810223642172524}  | {'accuracy': 0.7152444870565676} |
| 0.0395        | 381.0  | 25527  | 2.3973          | {'f1': 0.8211432083589428} | {'accuracy': 0.7209971236816874} |
| 0.0395        | 382.0  | 25594  | 2.1912          | {'f1': 0.8254364089775562} | {'accuracy': 0.7315436241610739} |
| 0.0395        | 383.0  | 25661  | 2.1772          | {'f1': 0.8290282902829028} | {'accuracy': 0.7334611697027804} |
| 0.0395        | 384.0  | 25728  | 2.4328          | {'f1': 0.8181818181818182} | {'accuracy': 0.7238734419942474} |
| 0.0395        | 385.0  | 25795  | 2.5761          | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
| 0.0395        | 386.0  | 25862  | 2.6663          | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
| 0.0395        | 387.0  | 25929  | 2.2974          | {'f1': 0.8219674109837054} | {'accuracy': 0.7171620325982742} |
| 0.0395        | 388.0  | 25996  | 2.4381          | {'f1': 0.7986798679867987} | {'accuracy': 0.7075743048897412} |
| 0.024         | 389.0  | 26063  | 2.5959          | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421}  |
| 0.024         | 390.0  | 26130  | 2.7005          | {'f1': 0.8264563106796117} | {'accuracy': 0.725790987535954}  |
| 0.024         | 391.0  | 26197  | 2.5189          | {'f1': 0.8240190249702736} | {'accuracy': 0.716203259827421}  |
| 0.024         | 392.0  | 26264  | 2.6093          | {'f1': 0.8107074569789675} | {'accuracy': 0.7152444870565676} |
| 0.024         | 393.0  | 26331  | 2.3561          | {'f1': 0.8181246066708623} | {'accuracy': 0.7229146692233941} |
| 0.024         | 394.0  | 26398  | 2.2714          | {'f1': 0.8104412678682411} | {'accuracy': 0.7075743048897412} |
| 0.024         | 395.0  | 26465  | 2.1117          | {'f1': 0.8092557848655411} | {'accuracy': 0.7075743048897412} |
| 0.0367        | 396.0  | 26532  | 2.4974          | {'f1': 0.8220640569395018} | {'accuracy': 0.7123681687440077} |
| 0.0367        | 397.0  | 26599  | 1.9040          | {'f1': 0.8174554394591272} | {'accuracy': 0.7152444870565676} |
| 0.0367        | 398.0  | 26666  | 1.5585          | {'f1': 0.8066006600660067} | {'accuracy': 0.7190795781399808} |
| 0.0367        | 399.0  | 26733  | 1.9950          | {'f1': 0.8253776435045317} | {'accuracy': 0.7229146692233941} |
| 0.0367        | 400.0  | 26800  | 1.9111          | {'f1': 0.8234575442883324} | {'accuracy': 0.7229146692233941} |
| 0.0367        | 401.0  | 26867  | 1.4995          | {'f1': 0.823529411764706}  | {'accuracy': 0.7209971236816874} |
| 0.0367        | 402.0  | 26934  | 2.1345          | {'f1': 0.8226691042047533} | {'accuracy': 0.7209971236816874} |
| 0.0646        | 403.0  | 27001  | 1.7191          | {'f1': 0.8225214198286412} | {'accuracy': 0.7219558964525408} |
| 0.0646        | 404.0  | 27068  | 2.0604          | {'f1': 0.8211678832116789} | {'accuracy': 0.7181208053691275} |
| 0.0646        | 405.0  | 27135  | 2.0836          | {'f1': 0.8091982597886886} | {'accuracy': 0.7056567593480345} |
| 0.0646        | 406.0  | 27202  | 1.9948          | {'f1': 0.8183990442054957} | {'accuracy': 0.7085330776605945} |
| 0.0646        | 407.0  | 27269  | 1.8891          | {'f1': 0.8133848133848134} | {'accuracy': 0.7219558964525408} |
| 0.0646        | 408.0  | 27336  | 2.0439          | {'f1': 0.81408276714021}   | {'accuracy': 0.7114093959731543} |
| 0.0646        | 409.0  | 27403  | 2.0130          | {'f1': 0.818407960199005}  | {'accuracy': 0.7200383509108341} |
| 0.0646        | 410.0  | 27470  | 2.1755          | {'f1': 0.8202933985330072} | {'accuracy': 0.7181208053691275} |
| 0.0431        | 411.0  | 27537  | 2.4976          | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0431        | 412.0  | 27604  | 2.4375          | {'f1': 0.8181276088252833} | {'accuracy': 0.7075743048897412} |
| 0.0431        | 413.0  | 27671  | 2.2452          | {'f1': 0.8152309612983771} | {'accuracy': 0.716203259827421}  |
| 0.0431        | 414.0  | 27738  | 1.9194          | {'f1': 0.8153180975911056} | {'accuracy': 0.713326941514861}  |
| 0.0431        | 415.0  | 27805  | 1.8687          | {'f1': 0.8175797712221553} | {'accuracy': 0.7094918504314478} |
| 0.0431        | 416.0  | 27872  | 1.9813          | {'f1': 0.8098859315589353} | {'accuracy': 0.7123681687440077} |
| 0.0431        | 417.0  | 27939  | 2.2467          | {'f1': 0.8194945848375452} | {'accuracy': 0.7123681687440077} |
| 0.0511        | 418.0  | 28006  | 2.2551          | {'f1': 0.7979207277452891} | {'accuracy': 0.7018216682646213} |
| 0.0511        | 419.0  | 28073  | 2.5472          | {'f1': 0.8175270108043217} | {'accuracy': 0.7085330776605945} |
| 0.0511        | 420.0  | 28140  | 2.4943          | {'f1': 0.8122270742358079} | {'accuracy': 0.7114093959731543} |
| 0.0511        | 421.0  | 28207  | 2.3186          | {'f1': 0.8051787916152899} | {'accuracy': 0.6970278044103547} |
| 0.0511        | 422.0  | 28274  | 1.6622          | {'f1': 0.818505338078292}  | {'accuracy': 0.7066155321188878} |
| 0.0511        | 423.0  | 28341  | 1.6588          | {'f1': 0.8065948002536462} | {'accuracy': 0.7075743048897412} |
| 0.0511        | 424.0  | 28408  | 1.8815          | {'f1': 0.8159203980099502} | {'accuracy': 0.716203259827421}  |
| 0.0511        | 425.0  | 28475  | 2.6952          | {'f1': 0.8204826368452031} | {'accuracy': 0.7075743048897412} |
| 0.0442        | 426.0  | 28542  | 2.2629          | {'f1': 0.7834912043301759} | {'accuracy': 0.6931927133269415} |
| 0.0442        | 427.0  | 28609  | 2.4604          | {'f1': 0.8113207547169811} | {'accuracy': 0.7123681687440077} |
| 0.0442        | 428.0  | 28676  | 2.4236          | {'f1': 0.8120300751879699} | {'accuracy': 0.7123681687440077} |
| 0.0442        | 429.0  | 28743  | 2.3787          | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.0442        | 430.0  | 28810  | 2.6287          | {'f1': 0.8048010107391032} | {'accuracy': 0.7037392138063279} |
| 0.0442        | 431.0  | 28877  | 2.8007          | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
| 0.0442        | 432.0  | 28944  | 2.0701          | {'f1': 0.8114355231143553} | {'accuracy': 0.7027804410354745} |
| 0.0386        | 433.0  | 29011  | 2.3022          | {'f1': 0.818734793187348}  | {'accuracy': 0.7142857142857143} |
| 0.0386        | 434.0  | 29078  | 2.3692          | {'f1': 0.8183464091732044} | {'accuracy': 0.7114093959731543} |
| 0.0386        | 435.0  | 29145  | 1.9739          | {'f1': 0.7915006640106242} | {'accuracy': 0.6989453499520614} |
| 0.0386        | 436.0  | 29212  | 2.6539          | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
| 0.0386        | 437.0  | 29279  | 2.0914          | {'f1': 0.8189349112426034} | {'accuracy': 0.7066155321188878} |
| 0.0386        | 438.0  | 29346  | 1.6843          | {'f1': 0.8028442146089204} | {'accuracy': 0.7075743048897412} |
| 0.0386        | 439.0  | 29413  | 2.3401          | {'f1': 0.8071979434447301} | {'accuracy': 0.7123681687440077} |
| 0.0386        | 440.0  | 29480  | 2.0851          | {'f1': 0.798439531859558}  | {'accuracy': 0.7027804410354745} |
| 0.0499        | 441.0  | 29547  | 2.4879          | {'f1': 0.8068833652007648} | {'accuracy': 0.7094918504314478} |
| 0.0499        | 442.0  | 29614  | 2.2249          | {'f1': 0.8091312618896639} | {'accuracy': 0.7114093959731543} |
| 0.0499        | 443.0  | 29681  | 2.1213          | {'f1': 0.8156626506024097} | {'accuracy': 0.7066155321188878} |
| 0.0499        | 444.0  | 29748  | 1.8230          | {'f1': 0.8075471698113207} | {'accuracy': 0.7066155321188878} |
| 0.0499        | 445.0  | 29815  | 1.8171          | {'f1': 0.8083538083538083} | {'accuracy': 0.700862895493768}  |
| 0.0499        | 446.0  | 29882  | 2.4010          | {'f1': 0.804032766225583}  | {'accuracy': 0.7018216682646213} |
| 0.0499        | 447.0  | 29949  | 2.3025          | {'f1': 0.8109422492401216} | {'accuracy': 0.7018216682646213} |
| 0.0467        | 448.0  | 30016  | 2.2767          | {'f1': 0.8002594033722438} | {'accuracy': 0.7046979865771812} |
| 0.0467        | 449.0  | 30083  | 2.3837          | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
| 0.0467        | 450.0  | 30150  | 2.3366          | {'f1': 0.79155672823219}   | {'accuracy': 0.6970278044103547} |
| 0.0467        | 451.0  | 30217  | 2.5564          | {'f1': 0.8084054388133497} | {'accuracy': 0.7027804410354745} |
| 0.0467        | 452.0  | 30284  | 2.8377          | {'f1': 0.7928616953473551} | {'accuracy': 0.6883988494726749} |
| 0.0467        | 453.0  | 30351  | 2.6419          | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
| 0.0467        | 454.0  | 30418  | 2.2656          | {'f1': 0.8121890547263683} | {'accuracy': 0.710450623202301}  |
| 0.0467        | 455.0  | 30485  | 2.4709          | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
| 0.0359        | 456.0  | 30552  | 2.3638          | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
| 0.0359        | 457.0  | 30619  | 2.7646          | {'f1': 0.8050473186119874} | {'accuracy': 0.7037392138063279} |
| 0.0359        | 458.0  | 30686  | 2.6722          | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301}  |
| 0.0359        | 459.0  | 30753  | 2.5933          | {'f1': 0.7979274611398963} | {'accuracy': 0.700862895493768}  |
| 0.0359        | 460.0  | 30820  | 2.7543          | {'f1': 0.7897106109324757} | {'accuracy': 0.6864813039309684} |
| 0.0359        | 461.0  | 30887  | 2.9402          | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
| 0.0359        | 462.0  | 30954  | 2.8300          | {'f1': 0.8048624440179143} | {'accuracy': 0.7075743048897412} |
| 0.0132        | 463.0  | 31021  | 3.0932          | {'f1': 0.8148591971240263} | {'accuracy': 0.7037392138063279} |
| 0.0132        | 464.0  | 31088  | 2.5593          | {'f1': 0.8095838587641866} | {'accuracy': 0.710450623202301}  |
| 0.0132        | 465.0  | 31155  | 2.5467          | {'f1': 0.8194103194103194} | {'accuracy': 0.7181208053691275} |
| 0.0132        | 466.0  | 31222  | 2.2788          | {'f1': 0.8134146341463414} | {'accuracy': 0.7066155321188878} |
| 0.0132        | 467.0  | 31289  | 2.0336          | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
| 0.0132        | 468.0  | 31356  | 2.5556          | {'f1': 0.8223844282238443} | {'accuracy': 0.7200383509108341} |
| 0.0132        | 469.0  | 31423  | 2.4964          | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
| 0.0132        | 470.0  | 31490  | 2.2595          | {'f1': 0.8194038573933372} | {'accuracy': 0.7037392138063279} |
| 0.0382        | 471.0  | 31557  | 2.5274          | {'f1': 0.8084840923268871} | {'accuracy': 0.7056567593480345} |
| 0.0382        | 472.0  | 31624  | 2.2212          | {'f1': 0.7900262467191601} | {'accuracy': 0.6931927133269415} |
| 0.0382        | 473.0  | 31691  | 2.1180          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0382        | 474.0  | 31758  | 2.0381          | {'f1': 0.8032078963602715} | {'accuracy': 0.6941514860977949} |
| 0.0382        | 475.0  | 31825  | 2.0838          | {'f1': 0.792884371029225}  | {'accuracy': 0.6874400767018217} |
| 0.0382        | 476.0  | 31892  | 2.3084          | {'f1': 0.7821380243572394} | {'accuracy': 0.6912751677852349} |
| 0.0382        | 477.0  | 31959  | 1.7853          | {'f1': 0.8081431215299197} | {'accuracy': 0.7018216682646213} |
| 0.0599        | 478.0  | 32026  | 1.9570          | {'f1': 0.813664596273292}  | {'accuracy': 0.7123681687440077} |
| 0.0599        | 479.0  | 32093  | 1.5326          | {'f1': 0.7922077922077921} | {'accuracy': 0.6931927133269415} |
| 0.0599        | 480.0  | 32160  | 2.1677          | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
| 0.0599        | 481.0  | 32227  | 2.1801          | {'f1': 0.8120024494794856} | {'accuracy': 0.7056567593480345} |
| 0.0599        | 482.0  | 32294  | 2.3462          | {'f1': 0.7946084724005135} | {'accuracy': 0.6931927133269415} |
| 0.0599        | 483.0  | 32361  | 2.1676          | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0599        | 484.0  | 32428  | 2.5977          | {'f1': 0.8122009569377991} | {'accuracy': 0.6989453499520614} |
| 0.0599        | 485.0  | 32495  | 2.1667          | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
| 0.0537        | 486.0  | 32562  | 2.1769          | {'f1': 0.8059332509270706} | {'accuracy': 0.6989453499520614} |
| 0.0537        | 487.0  | 32629  | 2.5492          | {'f1': 0.8170878459687124} | {'accuracy': 0.7085330776605945} |
| 0.0537        | 488.0  | 32696  | 1.7762          | {'f1': 0.8200734394124847} | {'accuracy': 0.7181208053691275} |
| 0.0537        | 489.0  | 32763  | 2.1828          | {'f1': 0.8159806295399515} | {'accuracy': 0.7085330776605945} |
| 0.0537        | 490.0  | 32830  | 1.9588          | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
| 0.0537        | 491.0  | 32897  | 2.3288          | {'f1': 0.8082966687617851} | {'accuracy': 0.7075743048897412} |
| 0.0537        | 492.0  | 32964  | 1.9554          | {'f1': 0.8090169067000627} | {'accuracy': 0.7075743048897412} |
| 0.0471        | 493.0  | 33031  | 2.1079          | {'f1': 0.795275590551181}  | {'accuracy': 0.700862895493768}  |
| 0.0471        | 494.0  | 33098  | 2.3960          | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
| 0.0471        | 495.0  | 33165  | 2.4487          | {'f1': 0.8075980392156863} | {'accuracy': 0.6989453499520614} |
| 0.0471        | 496.0  | 33232  | 2.0555          | {'f1': 0.8035153797865663} | {'accuracy': 0.6999041227229147} |
| 0.0471        | 497.0  | 33299  | 2.3137          | {'f1': 0.820726622989875}  | {'accuracy': 0.7114093959731543} |
| 0.0471        | 498.0  | 33366  | 2.2627          | {'f1': 0.8139109212934718} | {'accuracy': 0.7075743048897412} |
| 0.0471        | 499.0  | 33433  | 2.3648          | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
| 0.037         | 500.0  | 33500  | 2.2585          | {'f1': 0.8097014925373134} | {'accuracy': 0.7066155321188878} |
| 0.037         | 501.0  | 33567  | 2.5414          | {'f1': 0.8043065231158961} | {'accuracy': 0.7037392138063279} |
| 0.037         | 502.0  | 33634  | 2.0504          | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
| 0.037         | 503.0  | 33701  | 2.3979          | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
| 0.037         | 504.0  | 33768  | 2.3181          | {'f1': 0.8092848180677541} | {'accuracy': 0.7085330776605945} |
| 0.037         | 505.0  | 33835  | 2.3441          | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
| 0.037         | 506.0  | 33902  | 2.3099          | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
| 0.037         | 507.0  | 33969  | 2.1127          | {'f1': 0.8188494492044064} | {'accuracy': 0.716203259827421}  |
| 0.0451        | 508.0  | 34036  | 1.9561          | {'f1': 0.795514511873351}  | {'accuracy': 0.7027804410354745} |
| 0.0451        | 509.0  | 34103  | 2.5913          | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0451        | 510.0  | 34170  | 2.6783          | {'f1': 0.8090024330900243} | {'accuracy': 0.6989453499520614} |
| 0.0451        | 511.0  | 34237  | 2.3005          | {'f1': 0.7969446212603437} | {'accuracy': 0.6941514860977949} |
| 0.0451        | 512.0  | 34304  | 2.4023          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0451        | 513.0  | 34371  | 2.6818          | {'f1': 0.8095238095238095} | {'accuracy': 0.700862895493768}  |
| 0.0451        | 514.0  | 34438  | 2.1933          | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
| 0.0393        | 515.0  | 34505  | 2.6690          | {'f1': 0.8058191018342822} | {'accuracy': 0.7056567593480345} |
| 0.0393        | 516.0  | 34572  | 2.3618          | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0393        | 517.0  | 34639  | 2.8743          | {'f1': 0.8103864734299516} | {'accuracy': 0.6989453499520614} |
| 0.0393        | 518.0  | 34706  | 2.9690          | {'f1': 0.8058787507654622} | {'accuracy': 0.6960690316395014} |
| 0.0393        | 519.0  | 34773  | 2.3748          | {'f1': 0.8031088082901554} | {'accuracy': 0.7085330776605945} |
| 0.0393        | 520.0  | 34840  | 2.2713          | {'f1': 0.8125786163522014} | {'accuracy': 0.7142857142857143} |
| 0.0393        | 521.0  | 34907  | 2.6104          | {'f1': 0.8195718654434251} | {'accuracy': 0.7171620325982742} |
| 0.0393        | 522.0  | 34974  | 2.0309          | {'f1': 0.8090737240075614} | {'accuracy': 0.7094918504314478} |
| 0.0238        | 523.0  | 35041  | 2.2192          | {'f1': 0.8153266331658292} | {'accuracy': 0.7181208053691275} |
| 0.0238        | 524.0  | 35108  | 2.4821          | {'f1': 0.8149532710280374} | {'accuracy': 0.7152444870565676} |
| 0.0238        | 525.0  | 35175  | 2.8744          | {'f1': 0.799493991144845}  | {'accuracy': 0.6960690316395014} |
| 0.0238        | 526.0  | 35242  | 2.1730          | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
| 0.0238        | 527.0  | 35309  | 2.2129          | {'f1': 0.8200371057513913} | {'accuracy': 0.7209971236816874} |
| 0.0238        | 528.0  | 35376  | 2.1640          | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
| 0.0238        | 529.0  | 35443  | 2.3380          | {'f1': 0.7937743190661478} | {'accuracy': 0.6951102588686481} |
| 0.039         | 530.0  | 35510  | 1.7860          | {'f1': 0.8160493827160494} | {'accuracy': 0.7142857142857143} |
| 0.039         | 531.0  | 35577  | 2.2993          | {'f1': 0.8109756097560975} | {'accuracy': 0.7027804410354745} |
| 0.039         | 532.0  | 35644  | 2.5410          | {'f1': 0.7942708333333334} | {'accuracy': 0.6970278044103547} |
| 0.039         | 533.0  | 35711  | 2.3915          | {'f1': 0.7966211825860949} | {'accuracy': 0.6999041227229147} |
| 0.039         | 534.0  | 35778  | 2.6411          | {'f1': 0.8033526756931012} | {'accuracy': 0.7075743048897412} |
| 0.039         | 535.0  | 35845  | 2.2428          | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
| 0.039         | 536.0  | 35912  | 2.1045          | {'f1': 0.8107098381070984} | {'accuracy': 0.7085330776605945} |
| 0.039         | 537.0  | 35979  | 1.8005          | {'f1': 0.8150991682661549} | {'accuracy': 0.7229146692233941} |
| 0.0568        | 538.0  | 36046  | 1.6370          | {'f1': 0.8010335917312661} | {'accuracy': 0.7046979865771812} |
| 0.0568        | 539.0  | 36113  | 1.5732          | {'f1': 0.8131595282433273} | {'accuracy': 0.7114093959731543} |
| 0.0568        | 540.0  | 36180  | 2.0270          | {'f1': 0.8089330024813897} | {'accuracy': 0.7046979865771812} |
| 0.0568        | 541.0  | 36247  | 1.8452          | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208}  |
| 0.0568        | 542.0  | 36314  | 1.8483          | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861}  |
| 0.0568        | 543.0  | 36381  | 1.8150          | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.0568        | 544.0  | 36448  | 2.2707          | {'f1': 0.8103448275862069} | {'accuracy': 0.7046979865771812} |
| 0.0695        | 545.0  | 36515  | 2.1661          | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
| 0.0695        | 546.0  | 36582  | 2.2092          | {'f1': 0.8116646415552856} | {'accuracy': 0.7027804410354745} |
| 0.0695        | 547.0  | 36649  | 2.4352          | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
| 0.0695        | 548.0  | 36716  | 2.4322          | {'f1': 0.8132530120481928} | {'accuracy': 0.7027804410354745} |
| 0.0695        | 549.0  | 36783  | 2.4683          | {'f1': 0.8020434227330779} | {'accuracy': 0.7027804410354745} |
| 0.0695        | 550.0  | 36850  | 2.5210          | {'f1': 0.8160779537149817} | {'accuracy': 0.710450623202301}  |
| 0.0695        | 551.0  | 36917  | 2.3124          | {'f1': 0.8137254901960785} | {'accuracy': 0.7085330776605945} |
| 0.0695        | 552.0  | 36984  | 2.4882          | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
| 0.0361        | 553.0  | 37051  | 2.4595          | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301}  |
| 0.0361        | 554.0  | 37118  | 2.5541          | {'f1': 0.7876844130853111} | {'accuracy': 0.6826462128475551} |
| 0.0361        | 555.0  | 37185  | 2.5945          | {'f1': 0.8034717916924985} | {'accuracy': 0.6960690316395014} |
| 0.0361        | 556.0  | 37252  | 2.5673          | {'f1': 0.788339670468948}  | {'accuracy': 0.6797698945349953} |
| 0.0361        | 557.0  | 37319  | 2.1672          | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301}  |
| 0.0361        | 558.0  | 37386  | 2.7027          | {'f1': 0.813953488372093}  | {'accuracy': 0.7085330776605945} |
| 0.0361        | 559.0  | 37453  | 2.3369          | {'f1': 0.7664184157075152} | {'accuracy': 0.6692233940556088} |
| 0.0436        | 560.0  | 37520  | 2.6217          | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
| 0.0436        | 561.0  | 37587  | 2.2838          | {'f1': 0.793233082706767}  | {'accuracy': 0.6836049856184084} |
| 0.0436        | 562.0  | 37654  | 1.5427          | {'f1': 0.8081683168316832} | {'accuracy': 0.7027804410354745} |
| 0.0436        | 563.0  | 37721  | 2.1033          | {'f1': 0.819277108433735}  | {'accuracy': 0.7123681687440077} |
| 0.0436        | 564.0  | 37788  | 1.9698          | {'f1': 0.8040455120101138} | {'accuracy': 0.7027804410354745} |
| 0.0436        | 565.0  | 37855  | 2.2723          | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
| 0.0436        | 566.0  | 37922  | 2.5385          | {'f1': 0.80306905370844}   | {'accuracy': 0.7046979865771812} |
| 0.0436        | 567.0  | 37989  | 2.5538          | {'f1': 0.8231046931407942} | {'accuracy': 0.7181208053691275} |
| 0.0461        | 568.0  | 38056  | 2.4827          | {'f1': 0.8141486810551558} | {'accuracy': 0.7027804410354745} |
| 0.0461        | 569.0  | 38123  | 2.3785          | {'f1': 0.7999999999999999} | {'accuracy': 0.6951102588686481} |
| 0.0461        | 570.0  | 38190  | 2.7981          | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0461        | 571.0  | 38257  | 2.1357          | {'f1': 0.8118081180811809} | {'accuracy': 0.7066155321188878} |
| 0.0461        | 572.0  | 38324  | 2.7900          | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
| 0.0461        | 573.0  | 38391  | 2.8126          | {'f1': 0.815884476534296}  | {'accuracy': 0.7066155321188878} |
| 0.0461        | 574.0  | 38458  | 2.5137          | {'f1': 0.7868852459016393} | {'accuracy': 0.6883988494726749} |
| 0.0366        | 575.0  | 38525  | 2.4885          | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
| 0.0366        | 576.0  | 38592  | 3.0395          | {'f1': 0.813027744270205}  | {'accuracy': 0.7027804410354745} |
| 0.0366        | 577.0  | 38659  | 2.0957          | {'f1': 0.8171912832929782} | {'accuracy': 0.710450623202301}  |
| 0.0366        | 578.0  | 38726  | 2.5584          | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
| 0.0366        | 579.0  | 38793  | 2.5713          | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
| 0.0366        | 580.0  | 38860  | 2.5069          | {'f1': 0.7982120051085568} | {'accuracy': 0.6970278044103547} |
| 0.0366        | 581.0  | 38927  | 2.1142          | {'f1': 0.7951188182402056} | {'accuracy': 0.6941514860977949} |
| 0.0366        | 582.0  | 38994  | 2.3526          | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0236        | 583.0  | 39061  | 2.7165          | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
| 0.0236        | 584.0  | 39128  | 2.8171          | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
| 0.0236        | 585.0  | 39195  | 2.3883          | {'f1': 0.8121951219512195} | {'accuracy': 0.7046979865771812} |
| 0.0236        | 586.0  | 39262  | 2.9680          | {'f1': 0.8142770719903207} | {'accuracy': 0.7056567593480345} |
| 0.0236        | 587.0  | 39329  | 3.0047          | {'f1': 0.8142857142857143} | {'accuracy': 0.700862895493768}  |
| 0.0236        | 588.0  | 39396  | 2.2553          | {'f1': 0.8055207026348808} | {'accuracy': 0.7027804410354745} |
| 0.0236        | 589.0  | 39463  | 1.8848          | {'f1': 0.8010302640051513} | {'accuracy': 0.7037392138063279} |
| 0.0346        | 590.0  | 39530  | 2.0637          | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
| 0.0346        | 591.0  | 39597  | 2.6572          | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
| 0.0346        | 592.0  | 39664  | 2.6002          | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301}  |
| 0.0346        | 593.0  | 39731  | 2.4840          | {'f1': 0.798464491362764}  | {'accuracy': 0.697986577181208}  |
| 0.0346        | 594.0  | 39798  | 2.3541          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0346        | 595.0  | 39865  | 2.4791          | {'f1': 0.7984790874524715} | {'accuracy': 0.6951102588686481} |
| 0.0346        | 596.0  | 39932  | 2.5061          | {'f1': 0.8115055079559363} | {'accuracy': 0.7046979865771812} |
| 0.0346        | 597.0  | 39999  | 2.2753          | {'f1': 0.8094660194174759} | {'accuracy': 0.6989453499520614} |
| 0.0301        | 598.0  | 40066  | 2.3966          | {'f1': 0.8163265306122448} | {'accuracy': 0.7066155321188878} |
| 0.0301        | 599.0  | 40133  | 2.4493          | {'f1': 0.8221436984687868} | {'accuracy': 0.710450623202301}  |
| 0.0301        | 600.0  | 40200  | 2.5670          | {'f1': 0.8007566204287516} | {'accuracy': 0.6970278044103547} |
| 0.0301        | 601.0  | 40267  | 2.0944          | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
| 0.0301        | 602.0  | 40334  | 1.9693          | {'f1': 0.806471686372122}  | {'accuracy': 0.7018216682646213} |
| 0.0301        | 603.0  | 40401  | 2.2490          | {'f1': 0.8053265694356374} | {'accuracy': 0.7056567593480345} |
| 0.0301        | 604.0  | 40468  | 2.2227          | {'f1': 0.7898832684824902} | {'accuracy': 0.6893576222435283} |
| 0.0499        | 605.0  | 40535  | 2.4054          | {'f1': 0.781925343811395}  | {'accuracy': 0.6807286673058485} |
| 0.0499        | 606.0  | 40602  | 2.5979          | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
| 0.0499        | 607.0  | 40669  | 2.0921          | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
| 0.0499        | 608.0  | 40736  | 2.4372          | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
| 0.0499        | 609.0  | 40803  | 2.3465          | {'f1': 0.8128140703517588} | {'accuracy': 0.7142857142857143} |
| 0.0499        | 610.0  | 40870  | 2.4975          | {'f1': 0.8191489361702128} | {'accuracy': 0.7066155321188878} |
| 0.0499        | 611.0  | 40937  | 2.5924          | {'f1': 0.8051948051948051} | {'accuracy': 0.697986577181208}  |
| 0.0471        | 612.0  | 41004  | 2.2394          | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
| 0.0471        | 613.0  | 41071  | 2.0492          | {'f1': 0.810610734114744}  | {'accuracy': 0.7056567593480345} |
| 0.0471        | 614.0  | 41138  | 1.5876          | {'f1': 0.8012698412698412} | {'accuracy': 0.6999041227229147} |
| 0.0471        | 615.0  | 41205  | 2.2801          | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
| 0.0471        | 616.0  | 41272  | 2.3718          | {'f1': 0.7917472598323662} | {'accuracy': 0.6903163950143816} |
| 0.0471        | 617.0  | 41339  | 2.3341          | {'f1': 0.8154034229828852} | {'accuracy': 0.710450623202301}  |
| 0.0471        | 618.0  | 41406  | 2.0647          | {'f1': 0.7958387516254877} | {'accuracy': 0.6989453499520614} |
| 0.0471        | 619.0  | 41473  | 2.1027          | {'f1': 0.8060836501901142} | {'accuracy': 0.7066155321188878} |
| 0.0476        | 620.0  | 41540  | 2.2300          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.0476        | 621.0  | 41607  | 2.4566          | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
| 0.0476        | 622.0  | 41674  | 2.1890          | {'f1': 0.8108776266996292} | {'accuracy': 0.7066155321188878} |
| 0.0476        | 623.0  | 41741  | 2.5345          | {'f1': 0.8}                | {'accuracy': 0.6999041227229147} |
| 0.0476        | 624.0  | 41808  | 2.4468          | {'f1': 0.8138957816377171} | {'accuracy': 0.7123681687440077} |
| 0.0476        | 625.0  | 41875  | 2.5332          | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
| 0.0476        | 626.0  | 41942  | 2.3169          | {'f1': 0.8035375868603918} | {'accuracy': 0.7018216682646213} |
| 0.0374        | 627.0  | 42009  | 2.7118          | {'f1': 0.8141702921068986} | {'accuracy': 0.713326941514861}  |
| 0.0374        | 628.0  | 42076  | 3.0217          | {'f1': 0.8164014687882496} | {'accuracy': 0.7123681687440077} |
| 0.0374        | 629.0  | 42143  | 2.6981          | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
| 0.0374        | 630.0  | 42210  | 2.9600          | {'f1': 0.813810110974106}  | {'accuracy': 0.710450623202301}  |
| 0.0374        | 631.0  | 42277  | 1.9972          | {'f1': 0.8125384142593731} | {'accuracy': 0.7075743048897412} |
| 0.0374        | 632.0  | 42344  | 1.9691          | {'f1': 0.803001876172608}  | {'accuracy': 0.697986577181208}  |
| 0.0374        | 633.0  | 42411  | 2.1728          | {'f1': 0.7926988265971316} | {'accuracy': 0.6951102588686481} |
| 0.0374        | 634.0  | 42478  | 2.4838          | {'f1': 0.788409703504043}  | {'accuracy': 0.6989453499520614} |
| 0.0359        | 635.0  | 42545  | 2.4202          | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0359        | 636.0  | 42612  | 2.4062          | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
| 0.0359        | 637.0  | 42679  | 2.2867          | {'f1': 0.802547770700637}  | {'accuracy': 0.7027804410354745} |
| 0.0359        | 638.0  | 42746  | 2.4433          | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0359        | 639.0  | 42813  | 2.7226          | {'f1': 0.8071472581638941} | {'accuracy': 0.6999041227229147} |
| 0.0359        | 640.0  | 42880  | 2.3897          | {'f1': 0.8055380742605414} | {'accuracy': 0.7037392138063279} |
| 0.0359        | 641.0  | 42947  | 2.4064          | {'f1': 0.8037974683544304} | {'accuracy': 0.7027804410354745} |
| 0.0192        | 642.0  | 43014  | 2.8317          | {'f1': 0.8161057692307692} | {'accuracy': 0.7066155321188878} |
| 0.0192        | 643.0  | 43081  | 2.4679          | {'f1': 0.810062893081761}  | {'accuracy': 0.710450623202301}  |
| 0.0192        | 644.0  | 43148  | 2.5643          | {'f1': 0.8125}             | {'accuracy': 0.7123681687440077} |
| 0.0192        | 645.0  | 43215  | 2.4763          | {'f1': 0.8150431565967942} | {'accuracy': 0.7123681687440077} |
| 0.0192        | 646.0  | 43282  | 2.6369          | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0192        | 647.0  | 43349  | 2.0630          | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
| 0.0192        | 648.0  | 43416  | 2.4388          | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0192        | 649.0  | 43483  | 2.4868          | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301}  |
| 0.0305        | 650.0  | 43550  | 2.2993          | {'f1': 0.8080931943592886} | {'accuracy': 0.6999041227229147} |
| 0.0305        | 651.0  | 43617  | 2.0874          | {'f1': 0.8027465667915106} | {'accuracy': 0.6970278044103547} |
| 0.0305        | 652.0  | 43684  | 2.2371          | {'f1': 0.8022886204704387} | {'accuracy': 0.7018216682646213} |
| 0.0305        | 653.0  | 43751  | 2.5658          | {'f1': 0.8124632569077014} | {'accuracy': 0.6941514860977949} |
| 0.0305        | 654.0  | 43818  | 2.7170          | {'f1': 0.8150807899461401} | {'accuracy': 0.7037392138063279} |
| 0.0305        | 655.0  | 43885  | 2.3604          | {'f1': 0.7970018738288569} | {'accuracy': 0.6883988494726749} |
| 0.0305        | 656.0  | 43952  | 2.4308          | {'f1': 0.8037735849056603} | {'accuracy': 0.700862895493768}  |
| 0.0386        | 657.0  | 44019  | 2.6878          | {'f1': 0.7896774193548386} | {'accuracy': 0.6874400767018217} |
| 0.0386        | 658.0  | 44086  | 2.2253          | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
| 0.0386        | 659.0  | 44153  | 2.3105          | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
| 0.0386        | 660.0  | 44220  | 2.6267          | {'f1': 0.8056580565805658} | {'accuracy': 0.6970278044103547} |
| 0.0386        | 661.0  | 44287  | 2.7093          | {'f1': 0.7882736156351792} | {'accuracy': 0.6883988494726749} |
| 0.0386        | 662.0  | 44354  | 2.2298          | {'f1': 0.8007590132827325} | {'accuracy': 0.697986577181208}  |
| 0.0386        | 663.0  | 44421  | 2.7471          | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
| 0.0386        | 664.0  | 44488  | 2.5590          | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
| 0.0325        | 665.0  | 44555  | 1.9864          | {'f1': 0.7971938775510203} | {'accuracy': 0.6951102588686481} |
| 0.0325        | 666.0  | 44622  | 2.2498          | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768}  |
| 0.0325        | 667.0  | 44689  | 2.4292          | {'f1': 0.809667673716012}  | {'accuracy': 0.697986577181208}  |
| 0.0325        | 668.0  | 44756  | 2.3081          | {'f1': 0.7995049504950494} | {'accuracy': 0.6893576222435283} |
| 0.0325        | 669.0  | 44823  | 2.5704          | {'f1': 0.7860374919198448} | {'accuracy': 0.6826462128475551} |
| 0.0325        | 670.0  | 44890  | 2.0630          | {'f1': 0.779324055666004}  | {'accuracy': 0.6807286673058485} |
| 0.0325        | 671.0  | 44957  | 2.6712          | {'f1': 0.8024691358024691} | {'accuracy': 0.6931927133269415} |
| 0.0314        | 672.0  | 45024  | 2.6011          | {'f1': 0.7780784844384304} | {'accuracy': 0.6855225311601151} |
| 0.0314        | 673.0  | 45091  | 2.7033          | {'f1': 0.7877966101694915} | {'accuracy': 0.6999041227229147} |
| 0.0314        | 674.0  | 45158  | 2.8228          | {'f1': 0.7992376111817027} | {'accuracy': 0.6970278044103547} |
| 0.0314        | 675.0  | 45225  | 2.9198          | {'f1': 0.809464508094645}  | {'accuracy': 0.7066155321188878} |
| 0.0314        | 676.0  | 45292  | 2.9716          | {'f1': 0.7916666666666667} | {'accuracy': 0.6931927133269415} |
| 0.0314        | 677.0  | 45359  | 2.5246          | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
| 0.0314        | 678.0  | 45426  | 2.4123          | {'f1': 0.807906114885732}  | {'accuracy': 0.7018216682646213} |
| 0.0314        | 679.0  | 45493  | 2.4165          | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
| 0.0254        | 680.0  | 45560  | 2.2870          | {'f1': 0.8234597156398105} | {'accuracy': 0.7142857142857143} |
| 0.0254        | 681.0  | 45627  | 2.3270          | {'f1': 0.8097793679189027} | {'accuracy': 0.6941514860977949} |
| 0.0254        | 682.0  | 45694  | 2.3238          | {'f1': 0.7957259585166563} | {'accuracy': 0.6883988494726749} |
| 0.0254        | 683.0  | 45761  | 2.4876          | {'f1': 0.8056755089450957} | {'accuracy': 0.697986577181208}  |
| 0.0254        | 684.0  | 45828  | 2.8173          | {'f1': 0.7966645285439383} | {'accuracy': 0.6960690316395014} |
| 0.0254        | 685.0  | 45895  | 1.9763          | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
| 0.0254        | 686.0  | 45962  | 2.5405          | {'f1': 0.7926749509483322} | {'accuracy': 0.6960690316395014} |
| 0.0358        | 687.0  | 46029  | 1.8050          | {'f1': 0.7804551539491298} | {'accuracy': 0.6855225311601151} |
| 0.0358        | 688.0  | 46096  | 1.7838          | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
| 0.0358        | 689.0  | 46163  | 1.9279          | {'f1': 0.7954401519949335} | {'accuracy': 0.6903163950143816} |
| 0.0358        | 690.0  | 46230  | 2.2518          | {'f1': 0.8070175438596492} | {'accuracy': 0.7046979865771812} |
| 0.0358        | 691.0  | 46297  | 2.4148          | {'f1': 0.7906976744186047} | {'accuracy': 0.697986577181208}  |
| 0.0358        | 692.0  | 46364  | 2.4084          | {'f1': 0.7948387096774193} | {'accuracy': 0.6951102588686481} |
| 0.0358        | 693.0  | 46431  | 2.4390          | {'f1': 0.7997481108312343} | {'accuracy': 0.6951102588686481} |
| 0.0358        | 694.0  | 46498  | 2.5726          | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0255        | 695.0  | 46565  | 2.2043          | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.0255        | 696.0  | 46632  | 2.4890          | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0255        | 697.0  | 46699  | 2.5582          | {'f1': 0.7989821882951653} | {'accuracy': 0.6970278044103547} |
| 0.0255        | 698.0  | 46766  | 2.6065          | {'f1': 0.7977315689981097} | {'accuracy': 0.6922339405560882} |
| 0.0255        | 699.0  | 46833  | 2.8964          | {'f1': 0.817857142857143}  | {'accuracy': 0.7066155321188878} |
| 0.0255        | 700.0  | 46900  | 2.6920          | {'f1': 0.7906066536203523} | {'accuracy': 0.6922339405560882} |
| 0.0255        | 701.0  | 46967  | 2.6233          | {'f1': 0.8162762022194822} | {'accuracy': 0.7142857142857143} |
| 0.0287        | 702.0  | 47034  | 2.4204          | {'f1': 0.7958789439793946} | {'accuracy': 0.6960690316395014} |
| 0.0287        | 703.0  | 47101  | 2.5576          | {'f1': 0.806471686372122}  | {'accuracy': 0.7018216682646213} |
| 0.0287        | 704.0  | 47168  | 2.7032          | {'f1': 0.7905759162303664} | {'accuracy': 0.6931927133269415} |
| 0.0287        | 705.0  | 47235  | 2.4733          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0287        | 706.0  | 47302  | 2.3244          | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0287        | 707.0  | 47369  | 2.7921          | {'f1': 0.8017902813299232} | {'accuracy': 0.7027804410354745} |
| 0.0287        | 708.0  | 47436  | 2.2663          | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
| 0.0288        | 709.0  | 47503  | 2.0167          | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
| 0.0288        | 710.0  | 47570  | 2.6573          | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
| 0.0288        | 711.0  | 47637  | 2.9652          | {'f1': 0.7554309740714786} | {'accuracy': 0.6653883029721956} |
| 0.0288        | 712.0  | 47704  | 2.8463          | {'f1': 0.7939508506616256} | {'accuracy': 0.6864813039309684} |
| 0.0288        | 713.0  | 47771  | 2.4259          | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
| 0.0288        | 714.0  | 47838  | 2.5357          | {'f1': 0.807716241443684}  | {'accuracy': 0.7037392138063279} |
| 0.0288        | 715.0  | 47905  | 2.7091          | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208}  |
| 0.0288        | 716.0  | 47972  | 1.9341          | {'f1': 0.7498257839721254} | {'accuracy': 0.6558005752636625} |
| 0.045         | 717.0  | 48039  | 2.4567          | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.045         | 718.0  | 48106  | 2.3969          | {'f1': 0.796116504854369}  | {'accuracy': 0.697986577181208}  |
| 0.045         | 719.0  | 48173  | 2.4523          | {'f1': 0.7801324503311259} | {'accuracy': 0.6816874400767018} |
| 0.045         | 720.0  | 48240  | 2.7482          | {'f1': 0.7823800131492439} | {'accuracy': 0.6826462128475551} |
| 0.045         | 721.0  | 48307  | 2.3304          | {'f1': 0.7850225952227243} | {'accuracy': 0.6807286673058485} |
| 0.045         | 722.0  | 48374  | 3.0472          | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
| 0.045         | 723.0  | 48441  | 2.7800          | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
| 0.0356        | 724.0  | 48508  | 2.6058          | {'f1': 0.7930174563591023} | {'accuracy': 0.6816874400767018} |
| 0.0356        | 725.0  | 48575  | 2.5263          | {'f1': 0.8047411104179663} | {'accuracy': 0.6999041227229147} |
| 0.0356        | 726.0  | 48642  | 2.7661          | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
| 0.0356        | 727.0  | 48709  | 2.6080          | {'f1': 0.7963076923076924} | {'accuracy': 0.6826462128475551} |
| 0.0356        | 728.0  | 48776  | 2.6368          | {'f1': 0.7740641711229945} | {'accuracy': 0.675934803451582}  |
| 0.0356        | 729.0  | 48843  | 2.9922          | {'f1': 0.7955528103767758} | {'accuracy': 0.6826462128475551} |
| 0.0356        | 730.0  | 48910  | 3.0665          | {'f1': 0.7828348504551365} | {'accuracy': 0.6797698945349953} |
| 0.0356        | 731.0  | 48977  | 3.0926          | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
| 0.0291        | 732.0  | 49044  | 2.9926          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0291        | 733.0  | 49111  | 2.4811          | {'f1': 0.7784511784511784} | {'accuracy': 0.6845637583892618} |
| 0.0291        | 734.0  | 49178  | 2.8004          | {'f1': 0.8066914498141262} | {'accuracy': 0.700862895493768}  |
| 0.0291        | 735.0  | 49245  | 3.0368          | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
| 0.0291        | 736.0  | 49312  | 1.9854          | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
| 0.0291        | 737.0  | 49379  | 2.6648          | {'f1': 0.8032786885245902} | {'accuracy': 0.700862895493768}  |
| 0.0291        | 738.0  | 49446  | 2.7329          | {'f1': 0.7999999999999998} | {'accuracy': 0.7027804410354745} |
| 0.0196        | 739.0  | 49513  | 3.0289          | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0196        | 740.0  | 49580  | 3.1310          | {'f1': 0.8074074074074074} | {'accuracy': 0.700862895493768}  |
| 0.0196        | 741.0  | 49647  | 2.1609          | {'f1': 0.8119293974437006} | {'accuracy': 0.7037392138063279} |
| 0.0196        | 742.0  | 49714  | 2.6867          | {'f1': 0.7961414790996786} | {'accuracy': 0.6960690316395014} |
| 0.0196        | 743.0  | 49781  | 2.9029          | {'f1': 0.8027725267800883} | {'accuracy': 0.6999041227229147} |
| 0.0196        | 744.0  | 49848  | 2.7871          | {'f1': 0.7956577266922095} | {'accuracy': 0.6931927133269415} |
| 0.0196        | 745.0  | 49915  | 2.3519          | {'f1': 0.8}                | {'accuracy': 0.6941514860977949} |
| 0.0196        | 746.0  | 49982  | 2.3877          | {'f1': 0.7865022712524335} | {'accuracy': 0.6845637583892618} |
| 0.0223        | 747.0  | 50049  | 2.6191          | {'f1': 0.807250755287009}  | {'accuracy': 0.6941514860977949} |
| 0.0223        | 748.0  | 50116  | 2.5804          | {'f1': 0.7943625880845611} | {'accuracy': 0.6922339405560882} |
| 0.0223        | 749.0  | 50183  | 2.3629          | {'f1': 0.7795698924731183} | {'accuracy': 0.6855225311601151} |
| 0.0223        | 750.0  | 50250  | 2.6731          | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
| 0.0223        | 751.0  | 50317  | 2.7994          | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0223        | 752.0  | 50384  | 2.7621          | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
| 0.0223        | 753.0  | 50451  | 2.8079          | {'f1': 0.803001876172608}  | {'accuracy': 0.697986577181208}  |
| 0.0284        | 754.0  | 50518  | 2.7339          | {'f1': 0.8027295285359802} | {'accuracy': 0.6951102588686481} |
| 0.0284        | 755.0  | 50585  | 2.3571          | {'f1': 0.794451450189155}  | {'accuracy': 0.6874400767018217} |
| 0.0284        | 756.0  | 50652  | 2.9821          | {'f1': 0.7955936352509181} | {'accuracy': 0.6797698945349953} |
| 0.0284        | 757.0  | 50719  | 2.8026          | {'f1': 0.7713903743315508} | {'accuracy': 0.6720997123681688} |
| 0.0284        | 758.0  | 50786  | 3.1596          | {'f1': 0.8016979987871438} | {'accuracy': 0.6864813039309684} |
| 0.0284        | 759.0  | 50853  | 3.0899          | {'f1': 0.7764550264550265} | {'accuracy': 0.675934803451582}  |
| 0.0284        | 760.0  | 50920  | 3.2063          | {'f1': 0.7912652536929994} | {'accuracy': 0.6883988494726749} |
| 0.0284        | 761.0  | 50987  | 3.3018          | {'f1': 0.7959442332065907} | {'accuracy': 0.6912751677852349} |
| 0.0186        | 762.0  | 51054  | 3.2583          | {'f1': 0.8049079754601228} | {'accuracy': 0.6951102588686481} |
| 0.0186        | 763.0  | 51121  | 2.4554          | {'f1': 0.8051157125456762} | {'accuracy': 0.6931927133269415} |
| 0.0186        | 764.0  | 51188  | 2.5469          | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| 0.0186        | 765.0  | 51255  | 2.6618          | {'f1': 0.7841634738186462} | {'accuracy': 0.675934803451582}  |
| 0.0186        | 766.0  | 51322  | 2.8066          | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
| 0.0186        | 767.0  | 51389  | 2.9399          | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768}  |
| 0.0186        | 768.0  | 51456  | 2.9587          | {'f1': 0.8076685219542364} | {'accuracy': 0.7018216682646213} |
| 0.0212        | 769.0  | 51523  | 3.0687          | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0212        | 770.0  | 51590  | 3.1965          | {'f1': 0.8102501525320317} | {'accuracy': 0.7018216682646213} |
| 0.0212        | 771.0  | 51657  | 3.1875          | {'f1': 0.811332127787824}  | {'accuracy': 0.6999041227229147} |
| 0.0212        | 772.0  | 51724  | 2.4162          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0212        | 773.0  | 51791  | 2.0861          | {'f1': 0.7639542703429724} | {'accuracy': 0.663470757430489}  |
| 0.0212        | 774.0  | 51858  | 2.8202          | {'f1': 0.8024615384615384} | {'accuracy': 0.6922339405560882} |
| 0.0212        | 775.0  | 51925  | 2.7271          | {'f1': 0.7717462393721386} | {'accuracy': 0.6653883029721956} |
| 0.0212        | 776.0  | 51992  | 2.9384          | {'f1': 0.8}                | {'accuracy': 0.6903163950143816} |
| 0.0215        | 777.0  | 52059  | 3.1019          | {'f1': 0.7914303717706365} | {'accuracy': 0.6826462128475551} |
| 0.0215        | 778.0  | 52126  | 2.0745          | {'f1': 0.8026960784313726} | {'accuracy': 0.6912751677852349} |
| 0.0215        | 779.0  | 52193  | 2.9262          | {'f1': 0.7987538940809968} | {'accuracy': 0.6903163950143816} |
| 0.0215        | 780.0  | 52260  | 3.0274          | {'f1': 0.7817589576547231} | {'accuracy': 0.6788111217641419} |
| 0.0215        | 781.0  | 52327  | 2.6004          | {'f1': 0.7793427230046948} | {'accuracy': 0.6845637583892618} |
| 0.0215        | 782.0  | 52394  | 2.8576          | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
| 0.0215        | 783.0  | 52461  | 2.6895          | {'f1': 0.8186157517899763} | {'accuracy': 0.7085330776605945} |
| 0.0296        | 784.0  | 52528  | 2.7667          | {'f1': 0.7974921630094044} | {'accuracy': 0.6903163950143816} |
| 0.0296        | 785.0  | 52595  | 2.2497          | {'f1': 0.801246105919003}  | {'accuracy': 0.6941514860977949} |
| 0.0296        | 786.0  | 52662  | 2.7913          | {'f1': 0.7935064935064934} | {'accuracy': 0.6951102588686481} |
| 0.0296        | 787.0  | 52729  | 3.0921          | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
| 0.0296        | 788.0  | 52796  | 2.5899          | {'f1': 0.8088506453595575} | {'accuracy': 0.7018216682646213} |
| 0.0296        | 789.0  | 52863  | 3.0144          | {'f1': 0.7790311877903119} | {'accuracy': 0.6807286673058485} |
| 0.0296        | 790.0  | 52930  | 3.0538          | {'f1': 0.7768924302788843} | {'accuracy': 0.6778523489932886} |
| 0.0296        | 791.0  | 52997  | 3.2500          | {'f1': 0.7863577863577864} | {'accuracy': 0.6816874400767018} |
| 0.0227        | 792.0  | 53064  | 3.3701          | {'f1': 0.7841866493843164} | {'accuracy': 0.6807286673058485} |
| 0.0227        | 793.0  | 53131  | 3.1662          | {'f1': 0.7822105951602353} | {'accuracy': 0.6807286673058485} |
| 0.0227        | 794.0  | 53198  | 2.5949          | {'f1': 0.7849740932642487} | {'accuracy': 0.6816874400767018} |
| 0.0227        | 795.0  | 53265  | 2.1076          | {'f1': 0.7985120892746435} | {'accuracy': 0.6883988494726749} |
| 0.0227        | 796.0  | 53332  | 2.9437          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0227        | 797.0  | 53399  | 2.8963          | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208}  |
| 0.0227        | 798.0  | 53466  | 2.5000          | {'f1': 0.7972116603295311} | {'accuracy': 0.6931927133269415} |
| 0.0202        | 799.0  | 53533  | 3.1138          | {'f1': 0.790757381258023}  | {'accuracy': 0.6874400767018217} |
| 0.0202        | 800.0  | 53600  | 2.7586          | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
| 0.0202        | 801.0  | 53667  | 2.6061          | {'f1': 0.8007736943907157} | {'accuracy': 0.7037392138063279} |
| 0.0202        | 802.0  | 53734  | 2.9945          | {'f1': 0.812577065351418}  | {'accuracy': 0.7085330776605945} |
| 0.0202        | 803.0  | 53801  | 3.1440          | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
| 0.0202        | 804.0  | 53868  | 3.1134          | {'f1': 0.776376907763769}  | {'accuracy': 0.6768935762224353} |
| 0.0202        | 805.0  | 53935  | 2.3582          | {'f1': 0.8138528138528138} | {'accuracy': 0.7114093959731543} |
| 0.0173        | 806.0  | 54002  | 2.5501          | {'f1': 0.8031189083820662} | {'accuracy': 0.7094918504314478} |
| 0.0173        | 807.0  | 54069  | 2.8213          | {'f1': 0.7974025974025973} | {'accuracy': 0.700862895493768}  |
| 0.0173        | 808.0  | 54136  | 3.0748          | {'f1': 0.8068614993646761} | {'accuracy': 0.7085330776605945} |
| 0.0173        | 809.0  | 54203  | 3.2095          | {'f1': 0.7966857871255576} | {'accuracy': 0.6941514860977949} |
| 0.0173        | 810.0  | 54270  | 3.0719          | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0173        | 811.0  | 54337  | 2.9067          | {'f1': 0.8062893081761007} | {'accuracy': 0.7046979865771812} |
| 0.0173        | 812.0  | 54404  | 2.3977          | {'f1': 0.7872340425531915} | {'accuracy': 0.6931927133269415} |
| 0.0173        | 813.0  | 54471  | 2.4714          | {'f1': 0.8045540796963947} | {'accuracy': 0.7037392138063279} |
| 0.0192        | 814.0  | 54538  | 2.9034          | {'f1': 0.8077645585472761} | {'accuracy': 0.7056567593480345} |
| 0.0192        | 815.0  | 54605  | 2.9557          | {'f1': 0.7888239116309291} | {'accuracy': 0.6883988494726749} |
| 0.0192        | 816.0  | 54672  | 2.8904          | {'f1': 0.7881087919038583} | {'accuracy': 0.6788111217641419} |
| 0.0192        | 817.0  | 54739  | 3.1986          | {'f1': 0.7813108371187542} | {'accuracy': 0.6768935762224353} |
| 0.0192        | 818.0  | 54806  | 3.0324          | {'f1': 0.796044499381953}  | {'accuracy': 0.6836049856184084} |
| 0.0192        | 819.0  | 54873  | 2.4756          | {'f1': 0.7817460317460316} | {'accuracy': 0.6836049856184084} |
| 0.0192        | 820.0  | 54940  | 2.9751          | {'f1': 0.786179921773142}  | {'accuracy': 0.6855225311601151} |
| 0.0202        | 821.0  | 55007  | 2.8320          | {'f1': 0.8107121119902617} | {'accuracy': 0.7018216682646213} |
| 0.0202        | 822.0  | 55074  | 3.0572          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0202        | 823.0  | 55141  | 2.7252          | {'f1': 0.7822634017207147} | {'accuracy': 0.6845637583892618} |
| 0.0202        | 824.0  | 55208  | 2.6225          | {'f1': 0.801718845917741}  | {'accuracy': 0.6903163950143816} |
| 0.0202        | 825.0  | 55275  | 2.8190          | {'f1': 0.7736842105263156} | {'accuracy': 0.6701821668264621} |
| 0.0202        | 826.0  | 55342  | 3.0765          | {'f1': 0.8002512562814069} | {'accuracy': 0.6951102588686481} |
| 0.0202        | 827.0  | 55409  | 2.9914          | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
| 0.0202        | 828.0  | 55476  | 2.8897          | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
| 0.0209        | 829.0  | 55543  | 2.7297          | {'f1': 0.8053097345132745} | {'accuracy': 0.7046979865771812} |
| 0.0209        | 830.0  | 55610  | 2.8030          | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0209        | 831.0  | 55677  | 2.6626          | {'f1': 0.7949367088607595} | {'accuracy': 0.6893576222435283} |
| 0.0209        | 832.0  | 55744  | 3.0832          | {'f1': 0.7971298108284409} | {'accuracy': 0.7018216682646213} |
| 0.0209        | 833.0  | 55811  | 2.0708          | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768}  |
| 0.0209        | 834.0  | 55878  | 2.2189          | {'f1': 0.8030398986700443} | {'accuracy': 0.7018216682646213} |
| 0.0209        | 835.0  | 55945  | 2.9918          | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
| 0.0269        | 836.0  | 56012  | 2.2085          | {'f1': 0.7953816549069915} | {'accuracy': 0.6941514860977949} |
| 0.0269        | 837.0  | 56079  | 3.1818          | {'f1': 0.7605042016806722} | {'accuracy': 0.6720997123681688} |
| 0.0269        | 838.0  | 56146  | 2.5932          | {'f1': 0.8094660194174759} | {'accuracy': 0.6989453499520614} |
| 0.0269        | 839.0  | 56213  | 2.3886          | {'f1': 0.8081779915814792} | {'accuracy': 0.6941514860977949} |
| 0.0269        | 840.0  | 56280  | 2.6619          | {'f1': 0.7971758664955071} | {'accuracy': 0.6970278044103547} |
| 0.0269        | 841.0  | 56347  | 2.7758          | {'f1': 0.8057825267127593} | {'accuracy': 0.7037392138063279} |
| 0.0269        | 842.0  | 56414  | 2.9375          | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
| 0.0269        | 843.0  | 56481  | 2.3430          | {'f1': 0.7942894224529526} | {'accuracy': 0.6960690316395014} |
| 0.0238        | 844.0  | 56548  | 2.6018          | {'f1': 0.8113663845223701} | {'accuracy': 0.700862895493768}  |
| 0.0238        | 845.0  | 56615  | 2.6207          | {'f1': 0.8007448789571694} | {'accuracy': 0.6922339405560882} |
| 0.0238        | 846.0  | 56682  | 2.7643          | {'f1': 0.7992565055762082} | {'accuracy': 0.6893576222435283} |
| 0.0238        | 847.0  | 56749  | 2.2330          | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
| 0.0238        | 848.0  | 56816  | 2.4701          | {'f1': 0.8129584352078238} | {'accuracy': 0.7066155321188878} |
| 0.0238        | 849.0  | 56883  | 2.4459          | {'f1': 0.809437386569873}  | {'accuracy': 0.697986577181208}  |
| 0.0238        | 850.0  | 56950  | 2.5943          | {'f1': 0.803680981595092}  | {'accuracy': 0.6931927133269415} |
| 0.0154        | 851.0  | 57017  | 2.6762          | {'f1': 0.8020369191597707} | {'accuracy': 0.7018216682646213} |
| 0.0154        | 852.0  | 57084  | 2.9193          | {'f1': 0.800252844500632}  | {'accuracy': 0.6970278044103547} |
| 0.0154        | 853.0  | 57151  | 2.8979          | {'f1': 0.807551766138855}  | {'accuracy': 0.6970278044103547} |
| 0.0154        | 854.0  | 57218  | 2.6192          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0154        | 855.0  | 57285  | 2.7391          | {'f1': 0.7964148527528808} | {'accuracy': 0.6951102588686481} |
| 0.0154        | 856.0  | 57352  | 2.4971          | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
| 0.0154        | 857.0  | 57419  | 2.5369          | {'f1': 0.8187838651414812} | {'accuracy': 0.7114093959731543} |
| 0.0154        | 858.0  | 57486  | 2.6048          | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208}  |
| 0.0179        | 859.0  | 57553  | 2.6904          | {'f1': 0.8092909535452323} | {'accuracy': 0.700862895493768}  |
| 0.0179        | 860.0  | 57620  | 2.7572          | {'f1': 0.7976952624839948} | {'accuracy': 0.6970278044103547} |
| 0.0179        | 861.0  | 57687  | 2.5739          | {'f1': 0.7775551102204408} | {'accuracy': 0.6807286673058485} |
| 0.0179        | 862.0  | 57754  | 2.1508          | {'f1': 0.7994875080076873} | {'accuracy': 0.6999041227229147} |
| 0.0179        | 863.0  | 57821  | 2.6138          | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
| 0.0179        | 864.0  | 57888  | 2.8381          | {'f1': 0.8038858530661809} | {'accuracy': 0.6903163950143816} |
| 0.0179        | 865.0  | 57955  | 2.5914          | {'f1': 0.7994891443167303} | {'accuracy': 0.6989453499520614} |
| 0.022         | 866.0  | 58022  | 2.6404          | {'f1': 0.8027989821882952} | {'accuracy': 0.7027804410354745} |
| 0.022         | 867.0  | 58089  | 2.7753          | {'f1': 0.7937106918238993} | {'accuracy': 0.6855225311601151} |
| 0.022         | 868.0  | 58156  | 2.5355          | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
| 0.022         | 869.0  | 58223  | 2.3303          | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
| 0.022         | 870.0  | 58290  | 2.7866          | {'f1': 0.8049079754601228} | {'accuracy': 0.6951102588686481} |
| 0.022         | 871.0  | 58357  | 2.9416          | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
| 0.022         | 872.0  | 58424  | 2.9540          | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
| 0.022         | 873.0  | 58491  | 3.1983          | {'f1': 0.8111718275652702} | {'accuracy': 0.7018216682646213} |
| 0.0127        | 874.0  | 58558  | 3.1794          | {'f1': 0.7815181518151816} | {'accuracy': 0.6826462128475551} |
| 0.0127        | 875.0  | 58625  | 3.0788          | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
| 0.0127        | 876.0  | 58692  | 2.7439          | {'f1': 0.7925257731958762} | {'accuracy': 0.6912751677852349} |
| 0.0127        | 877.0  | 58759  | 3.1167          | {'f1': 0.8027638190954774} | {'accuracy': 0.6989453499520614} |
| 0.0127        | 878.0  | 58826  | 3.0847          | {'f1': 0.804279421019509}  | {'accuracy': 0.7018216682646213} |
| 0.0127        | 879.0  | 58893  | 2.6587          | {'f1': 0.8035375868603918} | {'accuracy': 0.7018216682646213} |
| 0.0127        | 880.0  | 58960  | 2.8949          | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
| 0.0165        | 881.0  | 59027  | 2.9421          | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
| 0.0165        | 882.0  | 59094  | 2.9432          | {'f1': 0.8048162230671737} | {'accuracy': 0.7046979865771812} |
| 0.0165        | 883.0  | 59161  | 3.1203          | {'f1': 0.7895765472312704} | {'accuracy': 0.6903163950143816} |
| 0.0165        | 884.0  | 59228  | 3.2343          | {'f1': 0.7890724269377383} | {'accuracy': 0.6816874400767018} |
| 0.0165        | 885.0  | 59295  | 2.7760          | {'f1': 0.7725150100066711} | {'accuracy': 0.673058485139022}  |
| 0.0165        | 886.0  | 59362  | 3.0844          | {'f1': 0.7818659658344285} | {'accuracy': 0.6816874400767018} |
| 0.0165        | 887.0  | 59429  | 3.1834          | {'f1': 0.7975683890577508} | {'accuracy': 0.6807286673058485} |
| 0.0165        | 888.0  | 59496  | 2.3314          | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
| 0.0176        | 889.0  | 59563  | 2.9516          | {'f1': 0.7926208651399491} | {'accuracy': 0.6874400767018217} |
| 0.0176        | 890.0  | 59630  | 3.0285          | {'f1': 0.8044280442804428} | {'accuracy': 0.6951102588686481} |
| 0.0176        | 891.0  | 59697  | 3.1338          | {'f1': 0.789776357827476}  | {'accuracy': 0.6845637583892618} |
| 0.0176        | 892.0  | 59764  | 2.5577          | {'f1': 0.7903736542115264} | {'accuracy': 0.6826462128475551} |
| 0.0176        | 893.0  | 59831  | 2.8251          | {'f1': 0.7569775357385977} | {'accuracy': 0.6577181208053692} |
| 0.0176        | 894.0  | 59898  | 2.7689          | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
| 0.0176        | 895.0  | 59965  | 2.9104          | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
| 0.0138        | 896.0  | 60032  | 2.7865          | {'f1': 0.7892670157068062} | {'accuracy': 0.6912751677852349} |
| 0.0138        | 897.0  | 60099  | 3.1620          | {'f1': 0.7822045152722443} | {'accuracy': 0.6855225311601151} |
| 0.0138        | 898.0  | 60166  | 3.0299          | {'f1': 0.7876397107166337} | {'accuracy': 0.6903163950143816} |
| 0.0138        | 899.0  | 60233  | 3.2338          | {'f1': 0.7912087912087912} | {'accuracy': 0.6903163950143816} |
| 0.0138        | 900.0  | 60300  | 3.1201          | {'f1': 0.7945911139729556} | {'accuracy': 0.6941514860977949} |
| 0.0138        | 901.0  | 60367  | 3.1295          | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0138        | 902.0  | 60434  | 2.8802          | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
| 0.0103        | 903.0  | 60501  | 2.5675          | {'f1': 0.7961904761904762} | {'accuracy': 0.6922339405560882} |
| 0.0103        | 904.0  | 60568  | 3.1883          | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
| 0.0103        | 905.0  | 60635  | 3.5637          | {'f1': 0.7955390334572491} | {'accuracy': 0.6836049856184084} |
| 0.0103        | 906.0  | 60702  | 2.6750          | {'f1': 0.7914032869785084} | {'accuracy': 0.6836049856184084} |
| 0.0103        | 907.0  | 60769  | 2.9523          | {'f1': 0.8091133004926109} | {'accuracy': 0.7027804410354745} |
| 0.0103        | 908.0  | 60836  | 3.3888          | {'f1': 0.8041871921182266} | {'accuracy': 0.6951102588686481} |
| 0.0103        | 909.0  | 60903  | 2.7870          | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
| 0.0103        | 910.0  | 60970  | 3.1207          | {'f1': 0.804968944099379}  | {'accuracy': 0.6989453499520614} |
| 0.0178        | 911.0  | 61037  | 2.6881          | {'f1': 0.7884984025559105} | {'accuracy': 0.6826462128475551} |
| 0.0178        | 912.0  | 61104  | 2.7027          | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
| 0.0178        | 913.0  | 61171  | 2.7214          | {'f1': 0.7526278906797477} | {'accuracy': 0.6615532118887824} |
| 0.0178        | 914.0  | 61238  | 2.7747          | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
| 0.0178        | 915.0  | 61305  | 2.7148          | {'f1': 0.7994891443167303} | {'accuracy': 0.6989453499520614} |
| 0.0178        | 916.0  | 61372  | 2.9585          | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
| 0.0178        | 917.0  | 61439  | 3.2040          | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0142        | 918.0  | 61506  | 3.3723          | {'f1': 0.8086153846153846} | {'accuracy': 0.7018216682646213} |
| 0.0142        | 919.0  | 61573  | 3.3550          | {'f1': 0.7987381703470031} | {'accuracy': 0.6941514860977949} |
| 0.0142        | 920.0  | 61640  | 2.7480          | {'f1': 0.7818659658344285} | {'accuracy': 0.6816874400767018} |
| 0.0142        | 921.0  | 61707  | 2.8426          | {'f1': 0.790187217559716}  | {'accuracy': 0.6883988494726749} |
| 0.0142        | 922.0  | 61774  | 3.1097          | {'f1': 0.7901554404145078} | {'accuracy': 0.6893576222435283} |
| 0.0142        | 923.0  | 61841  | 2.7653          | {'f1': 0.7847446670976082} | {'accuracy': 0.6807286673058485} |
| 0.0142        | 924.0  | 61908  | 3.2395          | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
| 0.0142        | 925.0  | 61975  | 3.2458          | {'f1': 0.8053204353083434} | {'accuracy': 0.6912751677852349} |
| 0.0163        | 926.0  | 62042  | 3.2999          | {'f1': 0.8010107391029692} | {'accuracy': 0.697986577181208}  |
| 0.0163        | 927.0  | 62109  | 3.4960          | {'f1': 0.7848266841072596} | {'accuracy': 0.6845637583892618} |
| 0.0163        | 928.0  | 62176  | 3.3342          | {'f1': 0.7842622950819672} | {'accuracy': 0.6845637583892618} |
| 0.0163        | 929.0  | 62243  | 3.4603          | {'f1': 0.805352798053528}  | {'accuracy': 0.6931927133269415} |
| 0.0163        | 930.0  | 62310  | 3.5135          | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
| 0.0163        | 931.0  | 62377  | 3.4542          | {'f1': 0.7941363926067558} | {'accuracy': 0.6903163950143816} |
| 0.0163        | 932.0  | 62444  | 3.6155          | {'f1': 0.7899484536082474} | {'accuracy': 0.6874400767018217} |
| 0.0073        | 933.0  | 62511  | 3.2877          | {'f1': 0.7962264150943396} | {'accuracy': 0.6893576222435283} |
| 0.0073        | 934.0  | 62578  | 2.9528          | {'f1': 0.8012658227848102} | {'accuracy': 0.6989453499520614} |
| 0.0073        | 935.0  | 62645  | 2.2620          | {'f1': 0.8083028083028083} | {'accuracy': 0.6989453499520614} |
| 0.0073        | 936.0  | 62712  | 2.9669          | {'f1': 0.809319435928878}  | {'accuracy': 0.7018216682646213} |
| 0.0073        | 937.0  | 62779  | 2.4109          | {'f1': 0.8054354539839407} | {'accuracy': 0.697986577181208}  |
| 0.0073        | 938.0  | 62846  | 2.4202          | {'f1': 0.7995034140285537} | {'accuracy': 0.6903163950143816} |
| 0.0073        | 939.0  | 62913  | 2.8792          | {'f1': 0.7841584158415842} | {'accuracy': 0.6864813039309684} |
| 0.0073        | 940.0  | 62980  | 2.9679          | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
| 0.0215        | 941.0  | 63047  | 3.0056          | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0215        | 942.0  | 63114  | 2.9210          | {'f1': 0.7974683544303798} | {'accuracy': 0.6931927133269415} |
| 0.0215        | 943.0  | 63181  | 3.1601          | {'f1': 0.7945026178010471} | {'accuracy': 0.6989453499520614} |
| 0.0215        | 944.0  | 63248  | 3.1141          | {'f1': 0.7589599437807449} | {'accuracy': 0.6711409395973155} |
| 0.0215        | 945.0  | 63315  | 2.9032          | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0215        | 946.0  | 63382  | 3.2873          | {'f1': 0.7902010050251256} | {'accuracy': 0.6797698945349953} |
| 0.0215        | 947.0  | 63449  | 2.9054          | {'f1': 0.7960199004975124} | {'accuracy': 0.6855225311601151} |
| 0.0189        | 948.0  | 63516  | 2.4805          | {'f1': 0.8142340168878167} | {'accuracy': 0.7046979865771812} |
| 0.0189        | 949.0  | 63583  | 2.9087          | {'f1': 0.8157575757575758} | {'accuracy': 0.7085330776605945} |
| 0.0189        | 950.0  | 63650  | 3.1082          | {'f1': 0.7924773022049285} | {'accuracy': 0.6931927133269415} |
| 0.0189        | 951.0  | 63717  | 2.7343          | {'f1': 0.8019925280199253} | {'accuracy': 0.6951102588686481} |
| 0.0189        | 952.0  | 63784  | 3.1393          | {'f1': 0.8134373125374925} | {'accuracy': 0.7018216682646213} |
| 0.0189        | 953.0  | 63851  | 2.5369          | {'f1': 0.8066157760814249} | {'accuracy': 0.7085330776605945} |
| 0.0189        | 954.0  | 63918  | 3.0867          | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
| 0.0189        | 955.0  | 63985  | 3.2662          | {'f1': 0.8044692737430168} | {'accuracy': 0.697986577181208}  |
| 0.0181        | 956.0  | 64052  | 3.1883          | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
| 0.0181        | 957.0  | 64119  | 2.6549          | {'f1': 0.7906976744186046} | {'accuracy': 0.6893576222435283} |
| 0.0181        | 958.0  | 64186  | 2.9008          | {'f1': 0.8040201005025126} | {'accuracy': 0.700862895493768}  |
| 0.0181        | 959.0  | 64253  | 3.1687          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0181        | 960.0  | 64320  | 2.7892          | {'f1': 0.79021879021879}   | {'accuracy': 0.6874400767018217} |
| 0.0181        | 961.0  | 64387  | 3.1476          | {'f1': 0.7964489537095751} | {'accuracy': 0.6922339405560882} |
| 0.0181        | 962.0  | 64454  | 3.0509          | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
| 0.0133        | 963.0  | 64521  | 3.2702          | {'f1': 0.787206266318538}  | {'accuracy': 0.6874400767018217} |
| 0.0133        | 964.0  | 64588  | 3.2887          | {'f1': 0.8035153797865663} | {'accuracy': 0.6999041227229147} |
| 0.0133        | 965.0  | 64655  | 3.3856          | {'f1': 0.7999999999999999} | {'accuracy': 0.6960690316395014} |
| 0.0133        | 966.0  | 64722  | 3.4850          | {'f1': 0.7938144329896908} | {'accuracy': 0.6931927133269415} |
| 0.0133        | 967.0  | 64789  | 3.6541          | {'f1': 0.7907276239536382} | {'accuracy': 0.6883988494726749} |
| 0.0133        | 968.0  | 64856  | 3.4824          | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
| 0.0133        | 969.0  | 64923  | 3.5462          | {'f1': 0.797724399494311}  | {'accuracy': 0.6931927133269415} |
| 0.0133        | 970.0  | 64990  | 3.2653          | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
| 0.0053        | 971.0  | 65057  | 3.0006          | {'f1': 0.783012607830126}  | {'accuracy': 0.6864813039309684} |
| 0.0053        | 972.0  | 65124  | 2.9346          | {'f1': 0.8089053803339517} | {'accuracy': 0.7037392138063279} |
| 0.0053        | 973.0  | 65191  | 3.1566          | {'f1': 0.811470408785845}  | {'accuracy': 0.7037392138063279} |
| 0.0053        | 974.0  | 65258  | 3.3111          | {'f1': 0.8039095907147221} | {'accuracy': 0.6922339405560882} |
| 0.0053        | 975.0  | 65325  | 3.2422          | {'f1': 0.8104814137720902} | {'accuracy': 0.7018216682646213} |
| 0.0053        | 976.0  | 65392  | 3.2865          | {'f1': 0.8020113136392206} | {'accuracy': 0.697986577181208}  |
| 0.0053        | 977.0  | 65459  | 2.9483          | {'f1': 0.7989723827874118} | {'accuracy': 0.6999041227229147} |
| 0.0142        | 978.0  | 65526  | 3.1442          | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
| 0.0142        | 979.0  | 65593  | 3.2090          | {'f1': 0.7895424836601307} | {'accuracy': 0.6912751677852349} |
| 0.0142        | 980.0  | 65660  | 3.0796          | {'f1': 0.794855305466238}  | {'accuracy': 0.6941514860977949} |
| 0.0142        | 981.0  | 65727  | 3.1314          | {'f1': 0.7974763406940064} | {'accuracy': 0.6922339405560882} |
| 0.0142        | 982.0  | 65794  | 3.0856          | {'f1': 0.8041743400859424} | {'accuracy': 0.6941514860977949} |
| 0.0142        | 983.0  | 65861  | 3.0588          | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
| 0.0142        | 984.0  | 65928  | 3.0813          | {'f1': 0.8042526579111945} | {'accuracy': 0.6999041227229147} |
| 0.0142        | 985.0  | 65995  | 3.1416          | {'f1': 0.7984838913455464} | {'accuracy': 0.6941514860977949} |
| 0.0121        | 986.0  | 66062  | 3.3324          | {'f1': 0.7882653061224488} | {'accuracy': 0.6816874400767018} |
| 0.0121        | 987.0  | 66129  | 2.6602          | {'f1': 0.7868217054263565} | {'accuracy': 0.6836049856184084} |
| 0.0121        | 988.0  | 66196  | 3.2263          | {'f1': 0.8017510944340211} | {'accuracy': 0.6960690316395014} |
| 0.0121        | 989.0  | 66263  | 2.7945          | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0121        | 990.0  | 66330  | 2.9699          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0121        | 991.0  | 66397  | 2.9309          | {'f1': 0.7982062780269058} | {'accuracy': 0.697986577181208}  |
| 0.0121        | 992.0  | 66464  | 3.1925          | {'f1': 0.7701612903225806} | {'accuracy': 0.6720997123681688} |
| 0.0144        | 993.0  | 66531  | 3.1637          | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
| 0.0144        | 994.0  | 66598  | 3.1515          | {'f1': 0.800995024875622}  | {'accuracy': 0.6931927133269415} |
| 0.0144        | 995.0  | 66665  | 3.1410          | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208}  |
| 0.0144        | 996.0  | 66732  | 3.2295          | {'f1': 0.8024464831804282} | {'accuracy': 0.6903163950143816} |
| 0.0144        | 997.0  | 66799  | 3.4990          | {'f1': 0.7873015873015873} | {'accuracy': 0.6788111217641419} |
| 0.0144        | 998.0  | 66866  | 3.5330          | {'f1': 0.7742363877822044} | {'accuracy': 0.6740172579098753} |
| 0.0144        | 999.0  | 66933  | 3.0990          | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
| 0.0115        | 1000.0 | 67000  | 3.0340          | {'f1': 0.8093525179856115} | {'accuracy': 0.6951102588686481} |
| 0.0115        | 1001.0 | 67067  | 2.8672          | {'f1': 0.7865459249676584} | {'accuracy': 0.6836049856184084} |
| 0.0115        | 1002.0 | 67134  | 3.3453          | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
| 0.0115        | 1003.0 | 67201  | 3.0494          | {'f1': 0.8014888337468983} | {'accuracy': 0.6931927133269415} |
| 0.0115        | 1004.0 | 67268  | 2.4179          | {'f1': 0.7880364109232769} | {'accuracy': 0.6874400767018217} |
| 0.0115        | 1005.0 | 67335  | 2.8554          | {'f1': 0.8}                | {'accuracy': 0.6903163950143816} |
| 0.0115        | 1006.0 | 67402  | 2.9083          | {'f1': 0.7915869980879541} | {'accuracy': 0.6864813039309684} |
| 0.0115        | 1007.0 | 67469  | 2.7943          | {'f1': 0.8025000000000001} | {'accuracy': 0.6970278044103547} |
| 0.0237        | 1008.0 | 67536  | 3.0687          | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
| 0.0237        | 1009.0 | 67603  | 3.2300          | {'f1': 0.8086642599277979} | {'accuracy': 0.6951102588686481} |
| 0.0237        | 1010.0 | 67670  | 3.0489          | {'f1': 0.8080684596577018} | {'accuracy': 0.6989453499520614} |
| 0.0237        | 1011.0 | 67737  | 2.3829          | {'f1': 0.811076923076923}  | {'accuracy': 0.7056567593480345} |
| 0.0237        | 1012.0 | 67804  | 2.6326          | {'f1': 0.8137432188065099} | {'accuracy': 0.7037392138063279} |
| 0.0237        | 1013.0 | 67871  | 2.6943          | {'f1': 0.7945911139729556} | {'accuracy': 0.6941514860977949} |
| 0.0237        | 1014.0 | 67938  | 2.2405          | {'f1': 0.7945560596241089} | {'accuracy': 0.6960690316395014} |
| 0.0197        | 1015.0 | 68005  | 2.3780          | {'f1': 0.7954110898661567} | {'accuracy': 0.6922339405560882} |
| 0.0197        | 1016.0 | 68072  | 2.9965          | {'f1': 0.7950391644908615} | {'accuracy': 0.6989453499520614} |
| 0.0197        | 1017.0 | 68139  | 3.1821          | {'f1': 0.7919896640826873} | {'accuracy': 0.6912751677852349} |
| 0.0197        | 1018.0 | 68206  | 2.9261          | {'f1': 0.8009858287122612} | {'accuracy': 0.6903163950143816} |
| 0.0197        | 1019.0 | 68273  | 2.8284          | {'f1': 0.7683089214380826} | {'accuracy': 0.6663470757430489} |
| 0.0197        | 1020.0 | 68340  | 2.7335          | {'f1': 0.8056930693069306} | {'accuracy': 0.6989453499520614} |
| 0.0197        | 1021.0 | 68407  | 2.8814          | {'f1': 0.7889098928796472} | {'accuracy': 0.6788111217641419} |
| 0.0197        | 1022.0 | 68474  | 3.2869          | {'f1': 0.7864450127877236} | {'accuracy': 0.6797698945349953} |
| 0.0099        | 1023.0 | 68541  | 3.3244          | {'f1': 0.7987616099071208} | {'accuracy': 0.6883988494726749} |
| 0.0099        | 1024.0 | 68608  | 3.1372          | {'f1': 0.7886962106615284} | {'accuracy': 0.6845637583892618} |
| 0.0099        | 1025.0 | 68675  | 3.0743          | {'f1': 0.7934508816120905} | {'accuracy': 0.6855225311601151} |
| 0.0099        | 1026.0 | 68742  | 3.2397          | {'f1': 0.7954401519949335} | {'accuracy': 0.6903163950143816} |
| 0.0099        | 1027.0 | 68809  | 3.3029          | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
| 0.0099        | 1028.0 | 68876  | 3.2730          | {'f1': 0.8052763819095478} | {'accuracy': 0.7027804410354745} |
| 0.0099        | 1029.0 | 68943  | 3.2279          | {'f1': 0.7945736434108528} | {'accuracy': 0.6951102588686481} |
| 0.0086        | 1030.0 | 69010  | 3.3918          | {'f1': 0.7804232804232805} | {'accuracy': 0.6816874400767018} |
| 0.0086        | 1031.0 | 69077  | 3.3415          | {'f1': 0.8015170670037927} | {'accuracy': 0.6989453499520614} |
| 0.0086        | 1032.0 | 69144  | 3.3949          | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
| 0.0086        | 1033.0 | 69211  | 3.0363          | {'f1': 0.8051948051948051} | {'accuracy': 0.697986577181208}  |
| 0.0086        | 1034.0 | 69278  | 3.2230          | {'f1': 0.7931253978357733} | {'accuracy': 0.6883988494726749} |
| 0.0086        | 1035.0 | 69345  | 3.2614          | {'f1': 0.7971938775510203} | {'accuracy': 0.6951102588686481} |
| 0.0086        | 1036.0 | 69412  | 3.4971          | {'f1': 0.785946649316851}  | {'accuracy': 0.6845637583892618} |
| 0.0086        | 1037.0 | 69479  | 2.7941          | {'f1': 0.7878001297858532} | {'accuracy': 0.6864813039309684} |
| 0.0112        | 1038.0 | 69546  | 3.0209          | {'f1': 0.8007495315427857} | {'accuracy': 0.6941514860977949} |
| 0.0112        | 1039.0 | 69613  | 3.5217          | {'f1': 0.7987261146496815} | {'accuracy': 0.6970278044103547} |
| 0.0112        | 1040.0 | 69680  | 3.5303          | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
| 0.0112        | 1041.0 | 69747  | 3.5898          | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
| 0.0112        | 1042.0 | 69814  | 3.3746          | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
| 0.0112        | 1043.0 | 69881  | 3.3544          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0112        | 1044.0 | 69948  | 3.5639          | {'f1': 0.7994971715901948} | {'accuracy': 0.6941514860977949} |
| 0.0087        | 1045.0 | 70015  | 3.5225          | {'f1': 0.8120393120393121} | {'accuracy': 0.7066155321188878} |
| 0.0087        | 1046.0 | 70082  | 3.4617          | {'f1': 0.8065122103944896} | {'accuracy': 0.7037392138063279} |
| 0.0087        | 1047.0 | 70149  | 3.2125          | {'f1': 0.7992424242424243} | {'accuracy': 0.6951102588686481} |
| 0.0087        | 1048.0 | 70216  | 3.2547          | {'f1': 0.809464508094645}  | {'accuracy': 0.7066155321188878} |
| 0.0087        | 1049.0 | 70283  | 3.3453          | {'f1': 0.8091697645600993} | {'accuracy': 0.7046979865771812} |
| 0.0087        | 1050.0 | 70350  | 3.6772          | {'f1': 0.7838196286472148} | {'accuracy': 0.6874400767018217} |
| 0.0087        | 1051.0 | 70417  | 3.2928          | {'f1': 0.7959697732997483} | {'accuracy': 0.6893576222435283} |
| 0.0087        | 1052.0 | 70484  | 3.5274          | {'f1': 0.8007290400972055} | {'accuracy': 0.6855225311601151} |
| 0.0079        | 1053.0 | 70551  | 3.0076          | {'f1': 0.7857142857142857} | {'accuracy': 0.6778523489932886} |
| 0.0079        | 1054.0 | 70618  | 3.0906          | {'f1': 0.8010107391029692} | {'accuracy': 0.697986577181208}  |
| 0.0079        | 1055.0 | 70685  | 3.4920          | {'f1': 0.7809647979139503} | {'accuracy': 0.6778523489932886} |
| 0.0079        | 1056.0 | 70752  | 3.4379          | {'f1': 0.7922330097087378} | {'accuracy': 0.6922339405560882} |
| 0.0079        | 1057.0 | 70819  | 3.2769          | {'f1': 0.7892720306513411} | {'accuracy': 0.6836049856184084} |
| 0.0079        | 1058.0 | 70886  | 3.3621          | {'f1': 0.80622009569378}   | {'accuracy': 0.6893576222435283} |
| 0.0079        | 1059.0 | 70953  | 3.2292          | {'f1': 0.7962382445141066} | {'accuracy': 0.6883988494726749} |
| 0.0167        | 1060.0 | 71020  | 3.4672          | {'f1': 0.8138424821002386} | {'accuracy': 0.700862895493768}  |
| 0.0167        | 1061.0 | 71087  | 3.4670          | {'f1': 0.7977667493796526} | {'accuracy': 0.6874400767018217} |
| 0.0167        | 1062.0 | 71154  | 3.4714          | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
| 0.0167        | 1063.0 | 71221  | 3.6003          | {'f1': 0.7919293820933165} | {'accuracy': 0.6836049856184084} |
| 0.0167        | 1064.0 | 71288  | 3.6491          | {'f1': 0.789980732177264}  | {'accuracy': 0.6864813039309684} |
| 0.0167        | 1065.0 | 71355  | 3.3493          | {'f1': 0.7923076923076923} | {'accuracy': 0.6893576222435283} |
| 0.0167        | 1066.0 | 71422  | 3.6188          | {'f1': 0.8024844720496894} | {'accuracy': 0.6951102588686481} |
| 0.0167        | 1067.0 | 71489  | 3.7339          | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0053        | 1068.0 | 71556  | 3.7898          | {'f1': 0.808638272345531}  | {'accuracy': 0.6941514860977949} |
| 0.0053        | 1069.0 | 71623  | 3.7242          | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0053        | 1070.0 | 71690  | 3.7964          | {'f1': 0.7909967845659164} | {'accuracy': 0.6883988494726749} |
| 0.0053        | 1071.0 | 71757  | 3.8982          | {'f1': 0.8029556650246306} | {'accuracy': 0.6931927133269415} |
| 0.0053        | 1072.0 | 71824  | 3.9462          | {'f1': 0.8029556650246306} | {'accuracy': 0.6931927133269415} |
| 0.0053        | 1073.0 | 71891  | 3.7817          | {'f1': 0.8004926108374384} | {'accuracy': 0.6893576222435283} |
| 0.0053        | 1074.0 | 71958  | 3.0934          | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
| 0.0055        | 1075.0 | 72025  | 3.2319          | {'f1': 0.788659793814433}  | {'accuracy': 0.6855225311601151} |
| 0.0055        | 1076.0 | 72092  | 3.6261          | {'f1': 0.8066502463054188} | {'accuracy': 0.6989453499520614} |
| 0.0055        | 1077.0 | 72159  | 3.7847          | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
| 0.0055        | 1078.0 | 72226  | 3.8903          | {'f1': 0.8068880688806889} | {'accuracy': 0.6989453499520614} |
| 0.0055        | 1079.0 | 72293  | 3.5534          | {'f1': 0.7741935483870968} | {'accuracy': 0.6778523489932886} |
| 0.0055        | 1080.0 | 72360  | 3.5904          | {'f1': 0.800973828362751}  | {'accuracy': 0.6864813039309684} |
| 0.0055        | 1081.0 | 72427  | 3.4700          | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
| 0.0055        | 1082.0 | 72494  | 2.2374          | {'f1': 0.7969151670951157} | {'accuracy': 0.6970278044103547} |
| 0.0128        | 1083.0 | 72561  | 3.1073          | {'f1': 0.8074834037417018} | {'accuracy': 0.6941514860977949} |
| 0.0128        | 1084.0 | 72628  | 3.1048          | {'f1': 0.7997504678727386} | {'accuracy': 0.6922339405560882} |
| 0.0128        | 1085.0 | 72695  | 3.4886          | {'f1': 0.7842622950819672} | {'accuracy': 0.6845637583892618} |
| 0.0128        | 1086.0 | 72762  | 2.6979          | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0128        | 1087.0 | 72829  | 2.6011          | {'f1': 0.80522713130056}   | {'accuracy': 0.6999041227229147} |
| 0.0128        | 1088.0 | 72896  | 2.7935          | {'f1': 0.795134443021767}  | {'accuracy': 0.6931927133269415} |
| 0.0128        | 1089.0 | 72963  | 2.8149          | {'f1': 0.7934301958307012} | {'accuracy': 0.6864813039309684} |
| 0.0102        | 1090.0 | 73030  | 2.4064          | {'f1': 0.7851186658114175} | {'accuracy': 0.6788111217641419} |
| 0.0102        | 1091.0 | 73097  | 3.0002          | {'f1': 0.7761780104712042} | {'accuracy': 0.6720997123681688} |
| 0.0102        | 1092.0 | 73164  | 2.5768          | {'f1': 0.800973828362751}  | {'accuracy': 0.6864813039309684} |
| 0.0102        | 1093.0 | 73231  | 2.6228          | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
| 0.0102        | 1094.0 | 73298  | 3.1172          | {'f1': 0.8009797917942437} | {'accuracy': 0.6883988494726749} |
| 0.0102        | 1095.0 | 73365  | 3.2225          | {'f1': 0.7927363807138385} | {'accuracy': 0.6826462128475551} |
| 0.0102        | 1096.0 | 73432  | 3.1993          | {'f1': 0.7869481765834933} | {'accuracy': 0.6807286673058485} |
| 0.0102        | 1097.0 | 73499  | 3.2249          | {'f1': 0.7945544554455446} | {'accuracy': 0.6816874400767018} |
| 0.0113        | 1098.0 | 73566  | 3.0021          | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
| 0.0113        | 1099.0 | 73633  | 3.2783          | {'f1': 0.789937106918239}  | {'accuracy': 0.6797698945349953} |
| 0.0113        | 1100.0 | 73700  | 3.2241          | {'f1': 0.7876844130853111} | {'accuracy': 0.6826462128475551} |
| 0.0113        | 1101.0 | 73767  | 3.2043          | {'f1': 0.7858064516129031} | {'accuracy': 0.6816874400767018} |
| 0.0113        | 1102.0 | 73834  | 3.2081          | {'f1': 0.7972721636701798} | {'accuracy': 0.6864813039309684} |
| 0.0113        | 1103.0 | 73901  | 3.1247          | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
| 0.0113        | 1104.0 | 73968  | 3.1455          | {'f1': 0.8004851425106124} | {'accuracy': 0.6845637583892618} |
| 0.0135        | 1105.0 | 74035  | 2.9494          | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
| 0.0135        | 1106.0 | 74102  | 3.0959          | {'f1': 0.8}                | {'accuracy': 0.6931927133269415} |
| 0.0135        | 1107.0 | 74169  | 3.1675          | {'f1': 0.794451450189155}  | {'accuracy': 0.6874400767018217} |
| 0.0135        | 1108.0 | 74236  | 3.0224          | {'f1': 0.7825520833333334} | {'accuracy': 0.6797698945349953} |
| 0.0135        | 1109.0 | 74303  | 3.1419          | {'f1': 0.7963190184049082} | {'accuracy': 0.6816874400767018} |
| 0.0135        | 1110.0 | 74370  | 3.1566          | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
| 0.0135        | 1111.0 | 74437  | 3.2853          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0056        | 1112.0 | 74504  | 3.1494          | {'f1': 0.7911671924290221} | {'accuracy': 0.6826462128475551} |
| 0.0056        | 1113.0 | 74571  | 3.2777          | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
| 0.0056        | 1114.0 | 74638  | 3.2349          | {'f1': 0.7946598855689764} | {'accuracy': 0.6903163950143816} |
| 0.0056        | 1115.0 | 74705  | 3.1965          | {'f1': 0.7990074441687346} | {'accuracy': 0.6893576222435283} |
| 0.0056        | 1116.0 | 74772  | 2.9184          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0056        | 1117.0 | 74839  | 3.0098          | {'f1': 0.8007425742574258} | {'accuracy': 0.6912751677852349} |
| 0.0056        | 1118.0 | 74906  | 3.2794          | {'f1': 0.7761394101876674} | {'accuracy': 0.6797698945349953} |
| 0.0056        | 1119.0 | 74973  | 3.1009          | {'f1': 0.7852921864740643} | {'accuracy': 0.6864813039309684} |
| 0.0115        | 1120.0 | 75040  | 3.2466          | {'f1': 0.8017676767676767} | {'accuracy': 0.6989453499520614} |
| 0.0115        | 1121.0 | 75107  | 3.0730          | {'f1': 0.8040201005025126} | {'accuracy': 0.700862895493768}  |
| 0.0115        | 1122.0 | 75174  | 2.6042          | {'f1': 0.8040455120101138} | {'accuracy': 0.7027804410354745} |
| 0.0115        | 1123.0 | 75241  | 2.9091          | {'f1': 0.802547770700637}  | {'accuracy': 0.7027804410354745} |
| 0.0115        | 1124.0 | 75308  | 3.1645          | {'f1': 0.8042526579111945} | {'accuracy': 0.6999041227229147} |
| 0.0115        | 1125.0 | 75375  | 3.2814          | {'f1': 0.7917205692108668} | {'accuracy': 0.6912751677852349} |
| 0.0115        | 1126.0 | 75442  | 3.0079          | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
| 0.0119        | 1127.0 | 75509  | 3.3441          | {'f1': 0.7942464040025017} | {'accuracy': 0.6845637583892618} |
| 0.0119        | 1128.0 | 75576  | 3.4920          | {'f1': 0.7962616822429905} | {'accuracy': 0.6864813039309684} |
| 0.0119        | 1129.0 | 75643  | 3.5675          | {'f1': 0.7921419518377694} | {'accuracy': 0.6855225311601151} |
| 0.0119        | 1130.0 | 75710  | 3.4266          | {'f1': 0.8027043638598649} | {'accuracy': 0.6922339405560882} |
| 0.0119        | 1131.0 | 75777  | 3.5162          | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
| 0.0119        | 1132.0 | 75844  | 3.4147          | {'f1': 0.7860824742268041} | {'accuracy': 0.6816874400767018} |
| 0.0119        | 1133.0 | 75911  | 3.4354          | {'f1': 0.7995064774830352} | {'accuracy': 0.6883988494726749} |
| 0.0119        | 1134.0 | 75978  | 3.0447          | {'f1': 0.8002473716759431} | {'accuracy': 0.6903163950143816} |
| 0.0041        | 1135.0 | 76045  | 3.2903          | {'f1': 0.7947103274559194} | {'accuracy': 0.6874400767018217} |
| 0.0041        | 1136.0 | 76112  | 3.8316          | {'f1': 0.7917205692108668} | {'accuracy': 0.6912751677852349} |
| 0.0041        | 1137.0 | 76179  | 3.8730          | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
| 0.0041        | 1138.0 | 76246  | 3.9395          | {'f1': 0.7888239116309291} | {'accuracy': 0.6883988494726749} |
| 0.0041        | 1139.0 | 76313  | 3.9728          | {'f1': 0.7851949768671512} | {'accuracy': 0.6883988494726749} |
| 0.0041        | 1140.0 | 76380  | 3.8511          | {'f1': 0.7967067764407854} | {'accuracy': 0.6922339405560882} |
| 0.0041        | 1141.0 | 76447  | 3.9834          | {'f1': 0.7864583333333334} | {'accuracy': 0.6855225311601151} |
| 0.0035        | 1142.0 | 76514  | 3.9015          | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| 0.0035        | 1143.0 | 76581  | 3.5008          | {'f1': 0.7992424242424243} | {'accuracy': 0.6951102588686481} |
| 0.0035        | 1144.0 | 76648  | 3.3379          | {'f1': 0.8027127003699138} | {'accuracy': 0.6931927133269415} |
| 0.0035        | 1145.0 | 76715  | 3.4962          | {'f1': 0.792884371029225}  | {'accuracy': 0.6874400767018217} |
| 0.0035        | 1146.0 | 76782  | 3.6838          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0035        | 1147.0 | 76849  | 3.8006          | {'f1': 0.7938931297709924} | {'accuracy': 0.6893576222435283} |
| 0.0035        | 1148.0 | 76916  | 3.8691          | {'f1': 0.7884244372990354} | {'accuracy': 0.6845637583892618} |
| 0.0035        | 1149.0 | 76983  | 3.7101          | {'f1': 0.7788911155644622} | {'accuracy': 0.6826462128475551} |
| 0.0097        | 1150.0 | 77050  | 3.5059          | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
| 0.0097        | 1151.0 | 77117  | 3.1064          | {'f1': 0.792079207920792}  | {'accuracy': 0.6778523489932886} |
| 0.0097        | 1152.0 | 77184  | 2.7728          | {'f1': 0.7868641339343205} | {'accuracy': 0.6826462128475551} |
| 0.0097        | 1153.0 | 77251  | 3.0177          | {'f1': 0.7938931297709924} | {'accuracy': 0.6893576222435283} |
| 0.0097        | 1154.0 | 77318  | 2.8995          | {'f1': 0.7914507772020726} | {'accuracy': 0.6912751677852349} |
| 0.0097        | 1155.0 | 77385  | 2.4337          | {'f1': 0.8}                | {'accuracy': 0.6912751677852349} |
| 0.0097        | 1156.0 | 77452  | 3.0424          | {'f1': 0.799493991144845}  | {'accuracy': 0.6960690316395014} |
| 0.019         | 1157.0 | 77519  | 3.0772          | {'f1': 0.792884371029225}  | {'accuracy': 0.6874400767018217} |
| 0.019         | 1158.0 | 77586  | 2.9066          | {'f1': 0.7962616822429905} | {'accuracy': 0.6864813039309684} |
| 0.019         | 1159.0 | 77653  | 3.0677          | {'f1': 0.794451450189155}  | {'accuracy': 0.6874400767018217} |
| 0.019         | 1160.0 | 77720  | 3.2869          | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| 0.019         | 1161.0 | 77787  | 3.4494          | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
| 0.019         | 1162.0 | 77854  | 3.2672          | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
| 0.019         | 1163.0 | 77921  | 2.6032          | {'f1': 0.7946936197094124} | {'accuracy': 0.6883988494726749} |
| 0.019         | 1164.0 | 77988  | 2.7758          | {'f1': 0.791800128122998}  | {'accuracy': 0.6883988494726749} |
| 0.0103        | 1165.0 | 78055  | 3.0383          | {'f1': 0.7954256670902161} | {'accuracy': 0.6912751677852349} |
| 0.0103        | 1166.0 | 78122  | 3.0944          | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
| 0.0103        | 1167.0 | 78189  | 3.2064          | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
| 0.0103        | 1168.0 | 78256  | 3.2924          | {'f1': 0.8}                | {'accuracy': 0.6931927133269415} |
| 0.0103        | 1169.0 | 78323  | 3.3902          | {'f1': 0.7892030848329049} | {'accuracy': 0.6855225311601151} |
| 0.0103        | 1170.0 | 78390  | 3.3314          | {'f1': 0.8031980319803198} | {'accuracy': 0.6931927133269415} |
| 0.0103        | 1171.0 | 78457  | 3.1778          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0064        | 1172.0 | 78524  | 3.4124          | {'f1': 0.7846952010376135} | {'accuracy': 0.6816874400767018} |
| 0.0064        | 1173.0 | 78591  | 3.6115          | {'f1': 0.7960566851509551} | {'accuracy': 0.6826462128475551} |
| 0.0064        | 1174.0 | 78658  | 3.2290          | {'f1': 0.8012345679012346} | {'accuracy': 0.6912751677852349} |
| 0.0064        | 1175.0 | 78725  | 3.1631          | {'f1': 0.7877204441541477} | {'accuracy': 0.6883988494726749} |
| 0.0064        | 1176.0 | 78792  | 3.0946          | {'f1': 0.8069093152375079} | {'accuracy': 0.6999041227229147} |
| 0.0064        | 1177.0 | 78859  | 3.4270          | {'f1': 0.7945560596241089} | {'accuracy': 0.6960690316395014} |
| 0.0064        | 1178.0 | 78926  | 3.4954          | {'f1': 0.7898089171974522} | {'accuracy': 0.6836049856184084} |
| 0.0064        | 1179.0 | 78993  | 3.4205          | {'f1': 0.784910655195235}  | {'accuracy': 0.6883988494726749} |
| 0.0067        | 1180.0 | 79060  | 3.4795          | {'f1': 0.798261949099938}  | {'accuracy': 0.6883988494726749} |
| 0.0067        | 1181.0 | 79127  | 3.5360          | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.0067        | 1182.0 | 79194  | 3.5430          | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
| 0.0067        | 1183.0 | 79261  | 3.6041          | {'f1': 0.7989789406509252} | {'accuracy': 0.697986577181208}  |
| 0.0067        | 1184.0 | 79328  | 3.1416          | {'f1': 0.8045977011494253} | {'accuracy': 0.6903163950143816} |
| 0.0067        | 1185.0 | 79395  | 3.0253          | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
| 0.0067        | 1186.0 | 79462  | 3.1080          | {'f1': 0.799752781211372}  | {'accuracy': 0.6893576222435283} |
| 0.0072        | 1187.0 | 79529  | 3.2647          | {'f1': 0.7804878048780487} | {'accuracy': 0.6807286673058485} |
| 0.0072        | 1188.0 | 79596  | 3.3372          | {'f1': 0.791139240506329}  | {'accuracy': 0.6836049856184084} |
| 0.0072        | 1189.0 | 79663  | 3.0753          | {'f1': 0.8077858880778589} | {'accuracy': 0.6970278044103547} |
| 0.0072        | 1190.0 | 79730  | 3.0277          | {'f1': 0.7899159663865546} | {'accuracy': 0.6883988494726749} |
| 0.0072        | 1191.0 | 79797  | 3.1650          | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
| 0.0072        | 1192.0 | 79864  | 3.0816          | {'f1': 0.7874519846350833} | {'accuracy': 0.6816874400767018} |
| 0.0072        | 1193.0 | 79931  | 3.3746          | {'f1': 0.7955528103767758} | {'accuracy': 0.6826462128475551} |
| 0.0072        | 1194.0 | 79998  | 3.4958          | {'f1': 0.7977736549165121} | {'accuracy': 0.6864813039309684} |
| 0.0068        | 1195.0 | 80065  | 2.7698          | {'f1': 0.7863577863577864} | {'accuracy': 0.6816874400767018} |
| 0.0068        | 1196.0 | 80132  | 3.1293          | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
| 0.0068        | 1197.0 | 80199  | 3.1306          | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
| 0.0068        | 1198.0 | 80266  | 3.3282          | {'f1': 0.7833441769681196} | {'accuracy': 0.6807286673058485} |
| 0.0068        | 1199.0 | 80333  | 3.3594          | {'f1': 0.801246105919003}  | {'accuracy': 0.6941514860977949} |
| 0.0068        | 1200.0 | 80400  | 3.5114          | {'f1': 0.7957124842370744} | {'accuracy': 0.6893576222435283} |
| 0.0068        | 1201.0 | 80467  | 3.5820          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0066        | 1202.0 | 80534  | 3.4154          | {'f1': 0.7882653061224488} | {'accuracy': 0.6816874400767018} |
| 0.0066        | 1203.0 | 80601  | 3.6391          | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
| 0.0066        | 1204.0 | 80668  | 3.6717          | {'f1': 0.7987500000000002} | {'accuracy': 0.6912751677852349} |
| 0.0066        | 1205.0 | 80735  | 2.7817          | {'f1': 0.7992518703241895} | {'accuracy': 0.6912751677852349} |
| 0.0066        | 1206.0 | 80802  | 3.0225          | {'f1': 0.7982456140350878} | {'accuracy': 0.6912751677852349} |
| 0.0066        | 1207.0 | 80869  | 3.1949          | {'f1': 0.7964262922782387} | {'accuracy': 0.6941514860977949} |
| 0.0066        | 1208.0 | 80936  | 3.3429          | {'f1': 0.8019559902200489} | {'accuracy': 0.6893576222435283} |
| 0.0053        | 1209.0 | 81003  | 3.2483          | {'f1': 0.795765877957659}  | {'accuracy': 0.6855225311601151} |
| 0.0053        | 1210.0 | 81070  | 3.2777          | {'f1': 0.7997535428219347} | {'accuracy': 0.6883988494726749} |
| 0.0053        | 1211.0 | 81137  | 3.2837          | {'f1': 0.7987577639751553} | {'accuracy': 0.6893576222435283} |
| 0.0053        | 1212.0 | 81204  | 3.2896          | {'f1': 0.798011187072716}  | {'accuracy': 0.6883988494726749} |
| 0.0053        | 1213.0 | 81271  | 3.1924          | {'f1': 0.811264230077891}  | {'accuracy': 0.697986577181208}  |
| 0.0053        | 1214.0 | 81338  | 3.1311          | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
| 0.0053        | 1215.0 | 81405  | 3.3636          | {'f1': 0.7946936197094124} | {'accuracy': 0.6883988494726749} |
| 0.0053        | 1216.0 | 81472  | 3.5888          | {'f1': 0.8019925280199253} | {'accuracy': 0.6951102588686481} |
| 0.0094        | 1217.0 | 81539  | 3.2291          | {'f1': 0.7783572359843546} | {'accuracy': 0.6740172579098753} |
| 0.0094        | 1218.0 | 81606  | 3.1653          | {'f1': 0.7935897435897437} | {'accuracy': 0.6912751677852349} |
| 0.0094        | 1219.0 | 81673  | 3.5366          | {'f1': 0.8054692355500311} | {'accuracy': 0.6999041227229147} |
| 0.0094        | 1220.0 | 81740  | 3.7869          | {'f1': 0.7803617571059431} | {'accuracy': 0.6740172579098753} |
| 0.0094        | 1221.0 | 81807  | 3.7690          | {'f1': 0.7994987468671679} | {'accuracy': 0.6931927133269415} |
| 0.0094        | 1222.0 | 81874  | 3.8623          | {'f1': 0.7921419518377694} | {'accuracy': 0.6855225311601151} |
| 0.0094        | 1223.0 | 81941  | 3.4384          | {'f1': 0.8112980769230769} | {'accuracy': 0.6989453499520614} |
| 0.0058        | 1224.0 | 82008  | 3.3999          | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
| 0.0058        | 1225.0 | 82075  | 3.5340          | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
| 0.0058        | 1226.0 | 82142  | 3.5987          | {'f1': 0.7995034140285537} | {'accuracy': 0.6903163950143816} |
| 0.0058        | 1227.0 | 82209  | 3.6794          | {'f1': 0.8072727272727273} | {'accuracy': 0.6951102588686481} |
| 0.0058        | 1228.0 | 82276  | 3.5475          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0058        | 1229.0 | 82343  | 3.3019          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0058        | 1230.0 | 82410  | 3.4488          | {'f1': 0.8019863438857853} | {'accuracy': 0.6941514860977949} |
| 0.0058        | 1231.0 | 82477  | 2.8586          | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0068        | 1232.0 | 82544  | 3.3537          | {'f1': 0.8090298962782183} | {'accuracy': 0.6999041227229147} |
| 0.0068        | 1233.0 | 82611  | 3.2462          | {'f1': 0.8108441158348737} | {'accuracy': 0.7056567593480345} |
| 0.0068        | 1234.0 | 82678  | 3.3117          | {'f1': 0.7818061964403428} | {'accuracy': 0.6826462128475551} |
| 0.0068        | 1235.0 | 82745  | 3.4782          | {'f1': 0.7933884297520661} | {'accuracy': 0.6883988494726749} |
| 0.0068        | 1236.0 | 82812  | 3.3697          | {'f1': 0.8031882280809319} | {'accuracy': 0.6922339405560882} |
| 0.0068        | 1237.0 | 82879  | 3.2629          | {'f1': 0.7934714375392342} | {'accuracy': 0.6845637583892618} |
| 0.0068        | 1238.0 | 82946  | 3.4265          | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| 0.0062        | 1239.0 | 83013  | 3.5361          | {'f1': 0.8054187192118226} | {'accuracy': 0.6970278044103547} |
| 0.0062        | 1240.0 | 83080  | 3.3494          | {'f1': 0.7959313413858868} | {'accuracy': 0.6922339405560882} |
| 0.0062        | 1241.0 | 83147  | 3.5553          | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
| 0.0062        | 1242.0 | 83214  | 3.6591          | {'f1': 0.7987421383647799} | {'accuracy': 0.6931927133269415} |
| 0.0062        | 1243.0 | 83281  | 3.6808          | {'f1': 0.8005018820577164} | {'accuracy': 0.6951102588686481} |
| 0.0062        | 1244.0 | 83348  | 3.7119          | {'f1': 0.8012539184952978} | {'accuracy': 0.6960690316395014} |
| 0.0062        | 1245.0 | 83415  | 3.7530          | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
| 0.0062        | 1246.0 | 83482  | 3.8056          | {'f1': 0.8124253285543608} | {'accuracy': 0.6989453499520614} |
| 0.0013        | 1247.0 | 83549  | 3.7937          | {'f1': 0.7896774193548386} | {'accuracy': 0.6874400767018217} |
| 0.0013        | 1248.0 | 83616  | 3.7156          | {'f1': 0.8027465667915106} | {'accuracy': 0.6970278044103547} |
| 0.0013        | 1249.0 | 83683  | 3.8688          | {'f1': 0.7616400277970812} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1250.0 | 83750  | 3.8961          | {'f1': 0.7890724269377383} | {'accuracy': 0.6816874400767018} |
| 0.0013        | 1251.0 | 83817  | 3.9124          | {'f1': 0.7898412698412698} | {'accuracy': 0.6826462128475551} |
| 0.0013        | 1252.0 | 83884  | 3.4883          | {'f1': 0.7823800131492439} | {'accuracy': 0.6826462128475551} |
| 0.0013        | 1253.0 | 83951  | 3.6609          | {'f1': 0.7640297498309669} | {'accuracy': 0.6653883029721956} |
| 0.0059        | 1254.0 | 84018  | 3.3929          | {'f1': 0.7943625880845611} | {'accuracy': 0.6922339405560882} |
| 0.0059        | 1255.0 | 84085  | 3.5805          | {'f1': 0.7831245880026367} | {'accuracy': 0.6845637583892618} |
| 0.0059        | 1256.0 | 84152  | 3.7422          | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
| 0.0059        | 1257.0 | 84219  | 3.4867          | {'f1': 0.8073846153846154} | {'accuracy': 0.6999041227229147} |
| 0.0059        | 1258.0 | 84286  | 3.7024          | {'f1': 0.7946768060836503} | {'accuracy': 0.6893576222435283} |
| 0.0059        | 1259.0 | 84353  | 3.7725          | {'f1': 0.7962025316455695} | {'accuracy': 0.6912751677852349} |
| 0.0059        | 1260.0 | 84420  | 2.9067          | {'f1': 0.7898832684824902} | {'accuracy': 0.6893576222435283} |
| 0.0059        | 1261.0 | 84487  | 3.4894          | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
| 0.007         | 1262.0 | 84554  | 3.1540          | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
| 0.007         | 1263.0 | 84621  | 2.8378          | {'f1': 0.7590027700831025} | {'accuracy': 0.6663470757430489} |
| 0.007         | 1264.0 | 84688  | 3.3140          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.007         | 1265.0 | 84755  | 3.5882          | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
| 0.007         | 1266.0 | 84822  | 3.3394          | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
| 0.007         | 1267.0 | 84889  | 2.9718          | {'f1': 0.7927225471085121} | {'accuracy': 0.6941514860977949} |
| 0.007         | 1268.0 | 84956  | 3.1527          | {'f1': 0.7915057915057916} | {'accuracy': 0.6893576222435283} |
| 0.0108        | 1269.0 | 85023  | 3.2264          | {'f1': 0.8086153846153846} | {'accuracy': 0.7018216682646213} |
| 0.0108        | 1270.0 | 85090  | 3.3707          | {'f1': 0.7924773022049285} | {'accuracy': 0.6931927133269415} |
| 0.0108        | 1271.0 | 85157  | 3.4901          | {'f1': 0.7953518398967075} | {'accuracy': 0.6960690316395014} |
| 0.0108        | 1272.0 | 85224  | 2.9175          | {'f1': 0.7838730998017183} | {'accuracy': 0.6864813039309684} |
| 0.0108        | 1273.0 | 85291  | 3.0297          | {'f1': 0.80306905370844}   | {'accuracy': 0.7046979865771812} |
| 0.0108        | 1274.0 | 85358  | 3.2236          | {'f1': 0.7937336814621411} | {'accuracy': 0.6970278044103547} |
| 0.0108        | 1275.0 | 85425  | 3.3170          | {'f1': 0.8038461538461539} | {'accuracy': 0.7066155321188878} |
| 0.0108        | 1276.0 | 85492  | 3.4384          | {'f1': 0.7989657401422107} | {'accuracy': 0.7018216682646213} |
| 0.0073        | 1277.0 | 85559  | 3.4921          | {'f1': 0.8025641025641026} | {'accuracy': 0.7046979865771812} |
| 0.0073        | 1278.0 | 85626  | 3.5230          | {'f1': 0.8063897763578276} | {'accuracy': 0.7094918504314478} |
| 0.0073        | 1279.0 | 85693  | 3.5265          | {'f1': 0.8005050505050505} | {'accuracy': 0.6970278044103547} |
| 0.0073        | 1280.0 | 85760  | 3.5620          | {'f1': 0.799240025332489}  | {'accuracy': 0.6960690316395014} |
| 0.0073        | 1281.0 | 85827  | 3.6076          | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
| 0.0073        | 1282.0 | 85894  | 3.6283          | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
| 0.0073        | 1283.0 | 85961  | 3.2767          | {'f1': 0.7873601053324556} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 1284.0 | 86028  | 3.0641          | {'f1': 0.7754830113257828} | {'accuracy': 0.6768935762224353} |
| 0.0022        | 1285.0 | 86095  | 3.3379          | {'f1': 0.7861347285807717} | {'accuracy': 0.6864813039309684} |
| 0.0022        | 1286.0 | 86162  | 3.2709          | {'f1': 0.7799736495388669} | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1287.0 | 86229  | 3.5519          | {'f1': 0.8007495315427857} | {'accuracy': 0.6941514860977949} |
| 0.0022        | 1288.0 | 86296  | 3.6914          | {'f1': 0.8032479700187384} | {'accuracy': 0.697986577181208}  |
| 0.0022        | 1289.0 | 86363  | 3.7318          | {'f1': 0.7771124417831003} | {'accuracy': 0.6788111217641419} |
| 0.0022        | 1290.0 | 86430  | 3.3725          | {'f1': 0.7788079470198676} | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1291.0 | 86497  | 3.4557          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0098        | 1292.0 | 86564  | 2.9119          | {'f1': 0.7946084724005135} | {'accuracy': 0.6931927133269415} |
| 0.0098        | 1293.0 | 86631  | 3.1851          | {'f1': 0.8020240354206198} | {'accuracy': 0.6999041227229147} |
| 0.0098        | 1294.0 | 86698  | 3.3272          | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
| 0.0098        | 1295.0 | 86765  | 3.4227          | {'f1': 0.8020240354206198} | {'accuracy': 0.6999041227229147} |
| 0.0098        | 1296.0 | 86832  | 3.4817          | {'f1': 0.8022741629816803} | {'accuracy': 0.6999041227229147} |
| 0.0098        | 1297.0 | 86899  | 3.6060          | {'f1': 0.7987220447284344} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 1298.0 | 86966  | 3.7033          | {'f1': 0.8007518796992481} | {'accuracy': 0.6951102588686481} |
| 0.0024        | 1299.0 | 87033  | 3.7602          | {'f1': 0.7881578947368421} | {'accuracy': 0.6912751677852349} |
| 0.0024        | 1300.0 | 87100  | 3.7850          | {'f1': 0.7945736434108528} | {'accuracy': 0.6951102588686481} |
| 0.0024        | 1301.0 | 87167  | 3.8434          | {'f1': 0.8007638446849141} | {'accuracy': 0.6999041227229147} |
| 0.0024        | 1302.0 | 87234  | 3.8535          | {'f1': 0.8007638446849141} | {'accuracy': 0.6999041227229147} |
| 0.0024        | 1303.0 | 87301  | 3.8445          | {'f1': 0.8074303405572756} | {'accuracy': 0.7018216682646213} |
| 0.0024        | 1304.0 | 87368  | 3.5415          | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
| 0.0024        | 1305.0 | 87435  | 3.4859          | {'f1': 0.7901234567901234} | {'accuracy': 0.6903163950143816} |
| 0.0018        | 1306.0 | 87502  | 3.6122          | {'f1': 0.8099878197320342} | {'accuracy': 0.700862895493768}  |
| 0.0018        | 1307.0 | 87569  | 2.6582          | {'f1': 0.798464491362764}  | {'accuracy': 0.697986577181208}  |
| 0.0018        | 1308.0 | 87636  | 3.1055          | {'f1': 0.8138424821002386} | {'accuracy': 0.700862895493768}  |
| 0.0018        | 1309.0 | 87703  | 3.0705          | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208}  |
| 0.0018        | 1310.0 | 87770  | 3.1223          | {'f1': 0.7992495309568481} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1311.0 | 87837  | 3.2100          | {'f1': 0.8041488712629652} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1312.0 | 87904  | 3.1490          | {'f1': 0.8053365676167373} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1313.0 | 87971  | 3.2270          | {'f1': 0.7985166872682324} | {'accuracy': 0.6874400767018217} |
| 0.0073        | 1314.0 | 88038  | 3.3169          | {'f1': 0.7987654320987654} | {'accuracy': 0.6874400767018217} |
| 0.0073        | 1315.0 | 88105  | 3.2936          | {'f1': 0.8144578313253013} | {'accuracy': 0.7046979865771812} |
| 0.0073        | 1316.0 | 88172  | 3.3745          | {'f1': 0.8085365853658537} | {'accuracy': 0.6989453499520614} |
| 0.0073        | 1317.0 | 88239  | 3.7091          | {'f1': 0.7920049968769519} | {'accuracy': 0.6807286673058485} |
| 0.0073        | 1318.0 | 88306  | 3.7450          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0073        | 1319.0 | 88373  | 3.3543          | {'f1': 0.7792207792207791} | {'accuracy': 0.6740172579098753} |
| 0.0073        | 1320.0 | 88440  | 3.4304          | {'f1': 0.7889447236180904} | {'accuracy': 0.6778523489932886} |
| 0.0075        | 1321.0 | 88507  | 3.4205          | {'f1': 0.7990074441687346} | {'accuracy': 0.6893576222435283} |
| 0.0075        | 1322.0 | 88574  | 3.0843          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0075        | 1323.0 | 88641  | 2.6274          | {'f1': 0.793969849246231}  | {'accuracy': 0.6855225311601151} |
| 0.0075        | 1324.0 | 88708  | 3.0044          | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
| 0.0075        | 1325.0 | 88775  | 3.1386          | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
| 0.0075        | 1326.0 | 88842  | 3.2852          | {'f1': 0.7886962106615284} | {'accuracy': 0.6845637583892618} |
| 0.0075        | 1327.0 | 88909  | 3.2371          | {'f1': 0.807621389059619}  | {'accuracy': 0.6999041227229147} |
| 0.0075        | 1328.0 | 88976  | 3.3303          | {'f1': 0.8068880688806889} | {'accuracy': 0.6989453499520614} |
| 0.0043        | 1329.0 | 89043  | 3.3969          | {'f1': 0.8056580565805658} | {'accuracy': 0.6970278044103547} |
| 0.0043        | 1330.0 | 89110  | 3.4387          | {'f1': 0.7919896640826873} | {'accuracy': 0.6912751677852349} |
| 0.0043        | 1331.0 | 89177  | 3.4014          | {'f1': 0.7848266841072596} | {'accuracy': 0.6845637583892618} |
| 0.0043        | 1332.0 | 89244  | 3.1622          | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
| 0.0043        | 1333.0 | 89311  | 3.3589          | {'f1': 0.795765877957659}  | {'accuracy': 0.6855225311601151} |
| 0.0043        | 1334.0 | 89378  | 3.5396          | {'f1': 0.7840103159252095} | {'accuracy': 0.6788111217641419} |
| 0.0043        | 1335.0 | 89445  | 3.3702          | {'f1': 0.7987577639751553} | {'accuracy': 0.6893576222435283} |
| 0.0044        | 1336.0 | 89512  | 3.4707          | {'f1': 0.796330275229358}  | {'accuracy': 0.6807286673058485} |
| 0.0044        | 1337.0 | 89579  | 3.2519          | {'f1': 0.7977667493796526} | {'accuracy': 0.6874400767018217} |
| 0.0044        | 1338.0 | 89646  | 3.1946          | {'f1': 0.7905236907730674} | {'accuracy': 0.6778523489932886} |
| 0.0044        | 1339.0 | 89713  | 3.3121          | {'f1': 0.7797270955165692} | {'accuracy': 0.6749760306807286} |
| 0.0044        | 1340.0 | 89780  | 3.5212          | {'f1': 0.776673293571902}  | {'accuracy': 0.6768935762224353} |
| 0.0044        | 1341.0 | 89847  | 3.5682          | {'f1': 0.7826086956521738} | {'accuracy': 0.6788111217641419} |
| 0.0044        | 1342.0 | 89914  | 3.6382          | {'f1': 0.7900128040973112} | {'accuracy': 0.6855225311601151} |
| 0.0044        | 1343.0 | 89981  | 3.8192          | {'f1': 0.802937576499388}  | {'accuracy': 0.6912751677852349} |
| 0.0018        | 1344.0 | 90048  | 3.8163          | {'f1': 0.786692759295499}  | {'accuracy': 0.6864813039309684} |
| 0.0018        | 1345.0 | 90115  | 3.3277          | {'f1': 0.8046826863832409} | {'accuracy': 0.6960690316395014} |
| 0.0018        | 1346.0 | 90182  | 3.5026          | {'f1': 0.7960074859638179} | {'accuracy': 0.6864813039309684} |
| 0.0018        | 1347.0 | 90249  | 3.4149          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1348.0 | 90316  | 3.5256          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0018        | 1349.0 | 90383  | 3.4582          | {'f1': 0.7995049504950494} | {'accuracy': 0.6893576222435283} |
| 0.0018        | 1350.0 | 90450  | 3.4387          | {'f1': 0.7929956222639148} | {'accuracy': 0.6826462128475551} |
| 0.0098        | 1351.0 | 90517  | 3.4374          | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0098        | 1352.0 | 90584  | 3.5526          | {'f1': 0.7880330999363463} | {'accuracy': 0.6807286673058485} |
| 0.0098        | 1353.0 | 90651  | 3.6285          | {'f1': 0.7886435331230284} | {'accuracy': 0.6788111217641419} |
| 0.0098        | 1354.0 | 90718  | 3.6885          | {'f1': 0.7896399241945673} | {'accuracy': 0.6807286673058485} |
| 0.0098        | 1355.0 | 90785  | 3.7110          | {'f1': 0.7901077996195307} | {'accuracy': 0.6826462128475551} |
| 0.0098        | 1356.0 | 90852  | 2.9285          | {'f1': 0.791194968553459}  | {'accuracy': 0.6816874400767018} |
| 0.0098        | 1357.0 | 90919  | 3.3688          | {'f1': 0.8002450980392157} | {'accuracy': 0.6874400767018217} |
| 0.0098        | 1358.0 | 90986  | 2.5591          | {'f1': 0.7907869481765835} | {'accuracy': 0.6864813039309684} |
| 0.0059        | 1359.0 | 91053  | 2.7547          | {'f1': 0.8046540110226578} | {'accuracy': 0.6941514860977949} |
| 0.0059        | 1360.0 | 91120  | 3.0628          | {'f1': 0.8041615667074663} | {'accuracy': 0.6931927133269415} |
| 0.0059        | 1361.0 | 91187  | 3.2081          | {'f1': 0.7987616099071208} | {'accuracy': 0.6883988494726749} |
| 0.0059        | 1362.0 | 91254  | 3.3036          | {'f1': 0.8024539877300614} | {'accuracy': 0.6912751677852349} |
| 0.0059        | 1363.0 | 91321  | 3.3669          | {'f1': 0.7992565055762082} | {'accuracy': 0.6893576222435283} |
| 0.0059        | 1364.0 | 91388  | 3.3955          | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
| 0.0059        | 1365.0 | 91455  | 3.4439          | {'f1': 0.7957393483709274} | {'accuracy': 0.6874400767018217} |
| 0.0029        | 1366.0 | 91522  | 3.4882          | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
| 0.0029        | 1367.0 | 91589  | 3.6078          | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
| 0.0029        | 1368.0 | 91656  | 3.6177          | {'f1': 0.8048632218844985} | {'accuracy': 0.6922339405560882} |
| 0.0029        | 1369.0 | 91723  | 3.5784          | {'f1': 0.801998750780762}  | {'accuracy': 0.6960690316395014} |
| 0.0029        | 1370.0 | 91790  | 3.6970          | {'f1': 0.80440097799511}   | {'accuracy': 0.6931927133269415} |
| 0.0029        | 1371.0 | 91857  | 3.5104          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0029        | 1372.0 | 91924  | 3.4500          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0029        | 1373.0 | 91991  | 3.3145          | {'f1': 0.7916137229987293} | {'accuracy': 0.6855225311601151} |
| 0.0048        | 1374.0 | 92058  | 3.4664          | {'f1': 0.7908745247148289} | {'accuracy': 0.6836049856184084} |
| 0.0048        | 1375.0 | 92125  | 3.5522          | {'f1': 0.7962962962962964} | {'accuracy': 0.6836049856184084} |
| 0.0048        | 1376.0 | 92192  | 3.1959          | {'f1': 0.7972805933250927} | {'accuracy': 0.6855225311601151} |
| 0.0048        | 1377.0 | 92259  | 3.3601          | {'f1': 0.7937694704049844} | {'accuracy': 0.6826462128475551} |
| 0.0048        | 1378.0 | 92326  | 3.6030          | {'f1': 0.7987692307692308} | {'accuracy': 0.6864813039309684} |
| 0.0048        | 1379.0 | 92393  | 3.7060          | {'f1': 0.7972889710412815} | {'accuracy': 0.6845637583892618} |
| 0.0048        | 1380.0 | 92460  | 3.6752          | {'f1': 0.7926442612555485} | {'accuracy': 0.6864813039309684} |
| 0.0034        | 1381.0 | 92527  | 3.6294          | {'f1': 0.801470588235294}  | {'accuracy': 0.6893576222435283} |
| 0.0034        | 1382.0 | 92594  | 3.3531          | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
| 0.0034        | 1383.0 | 92661  | 3.6748          | {'f1': 0.801470588235294}  | {'accuracy': 0.6893576222435283} |
| 0.0034        | 1384.0 | 92728  | 3.4228          | {'f1': 0.8004895960832313} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 1385.0 | 92795  | 2.9708          | {'f1': 0.798261949099938}  | {'accuracy': 0.6883988494726749} |
| 0.0034        | 1386.0 | 92862  | 3.1387          | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
| 0.0034        | 1387.0 | 92929  | 3.4098          | {'f1': 0.7695417789757413} | {'accuracy': 0.6720997123681688} |
| 0.0034        | 1388.0 | 92996  | 3.3922          | {'f1': 0.7936708860759493} | {'accuracy': 0.6874400767018217} |
| 0.0052        | 1389.0 | 93063  | 3.4956          | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
| 0.0052        | 1390.0 | 93130  | 3.5436          | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
| 0.0052        | 1391.0 | 93197  | 3.4887          | {'f1': 0.7864450127877236} | {'accuracy': 0.6797698945349953} |
| 0.0052        | 1392.0 | 93264  | 3.6942          | {'f1': 0.7830006439150032} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1393.0 | 93331  | 2.9826          | {'f1': 0.811332127787824}  | {'accuracy': 0.6999041227229147} |
| 0.0052        | 1394.0 | 93398  | 2.9983          | {'f1': 0.7822736030828518} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1395.0 | 93465  | 3.2938          | {'f1': 0.7704590818363273} | {'accuracy': 0.6692233940556088} |
| 0.0068        | 1396.0 | 93532  | 2.9958          | {'f1': 0.785946649316851}  | {'accuracy': 0.6845637583892618} |
| 0.0068        | 1397.0 | 93599  | 3.0239          | {'f1': 0.7788778877887788} | {'accuracy': 0.6788111217641419} |
| 0.0068        | 1398.0 | 93666  | 3.4180          | {'f1': 0.8043875685557585} | {'accuracy': 0.6922339405560882} |
| 0.0068        | 1399.0 | 93733  | 3.4258          | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
| 0.0068        | 1400.0 | 93800  | 3.5414          | {'f1': 0.802252816020025}  | {'accuracy': 0.6970278044103547} |
| 0.0068        | 1401.0 | 93867  | 3.2204          | {'f1': 0.8063725490196079} | {'accuracy': 0.6970278044103547} |
| 0.0068        | 1402.0 | 93934  | 3.4795          | {'f1': 0.8068043742405833} | {'accuracy': 0.6951102588686481} |
| 0.0041        | 1403.0 | 94001  | 3.5626          | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0041        | 1404.0 | 94068  | 3.6109          | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0041        | 1405.0 | 94135  | 3.6412          | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0041        | 1406.0 | 94202  | 3.7176          | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0041        | 1407.0 | 94269  | 3.1087          | {'f1': 0.804611650485437}  | {'accuracy': 0.6912751677852349} |
| 0.0041        | 1408.0 | 94336  | 3.0846          | {'f1': 0.7793923381770146} | {'accuracy': 0.6797698945349953} |
| 0.0041        | 1409.0 | 94403  | 3.3676          | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
| 0.0041        | 1410.0 | 94470  | 3.4582          | {'f1': 0.800497203231821}  | {'accuracy': 0.6922339405560882} |
| 0.0059        | 1411.0 | 94537  | 3.2096          | {'f1': 0.7977315689981097} | {'accuracy': 0.6922339405560882} |
| 0.0059        | 1412.0 | 94604  | 3.3712          | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
| 0.0059        | 1413.0 | 94671  | 3.5329          | {'f1': 0.7977873386601106} | {'accuracy': 0.6845637583892618} |
| 0.0059        | 1414.0 | 94738  | 3.0765          | {'f1': 0.7813525935653316} | {'accuracy': 0.6807286673058485} |
| 0.0059        | 1415.0 | 94805  | 3.3088          | {'f1': 0.7835723598435462} | {'accuracy': 0.6816874400767018} |
| 0.0059        | 1416.0 | 94872  | 3.1667          | {'f1': 0.7979797979797981} | {'accuracy': 0.6931927133269415} |
| 0.0059        | 1417.0 | 94939  | 3.2078          | {'f1': 0.798023471278567}  | {'accuracy': 0.6864813039309684} |
| 0.007         | 1418.0 | 95006  | 3.1327          | {'f1': 0.7829508196721311} | {'accuracy': 0.6826462128475551} |
| 0.007         | 1419.0 | 95073  | 3.2775          | {'f1': 0.790638836179633}  | {'accuracy': 0.6826462128475551} |
| 0.007         | 1420.0 | 95140  | 3.4375          | {'f1': 0.797752808988764}  | {'accuracy': 0.6893576222435283} |
| 0.007         | 1421.0 | 95207  | 3.4627          | {'f1': 0.7790019442644199} | {'accuracy': 0.673058485139022}  |
| 0.007         | 1422.0 | 95274  | 3.4447          | {'f1': 0.7806788511749347} | {'accuracy': 0.6778523489932886} |
| 0.007         | 1423.0 | 95341  | 3.5408          | {'f1': 0.7908455181182453} | {'accuracy': 0.6845637583892618} |
| 0.007         | 1424.0 | 95408  | 3.6807          | {'f1': 0.7985120892746435} | {'accuracy': 0.6883988494726749} |
| 0.007         | 1425.0 | 95475  | 3.6972          | {'f1': 0.7868437697659709} | {'accuracy': 0.6768935762224353} |
| 0.0028        | 1426.0 | 95542  | 3.7329          | {'f1': 0.7861635220125784} | {'accuracy': 0.6740172579098753} |
| 0.0028        | 1427.0 | 95609  | 3.6850          | {'f1': 0.7794404684450227} | {'accuracy': 0.6749760306807286} |
| 0.0028        | 1428.0 | 95676  | 3.7515          | {'f1': 0.8002450980392157} | {'accuracy': 0.6874400767018217} |
| 0.0028        | 1429.0 | 95743  | 3.4235          | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
| 0.0028        | 1430.0 | 95810  | 3.5204          | {'f1': 0.7802631578947368} | {'accuracy': 0.6797698945349953} |
| 0.0028        | 1431.0 | 95877  | 3.7457          | {'f1': 0.7990165949600492} | {'accuracy': 0.6864813039309684} |
| 0.0028        | 1432.0 | 95944  | 3.7481          | {'f1': 0.7952110901071204} | {'accuracy': 0.6883988494726749} |
| 0.0028        | 1433.0 | 96011  | 3.7664          | {'f1': 0.7916137229987293} | {'accuracy': 0.6855225311601151} |
| 0.0028        | 1434.0 | 96078  | 4.0154          | {'f1': 0.8033674082982563} | {'accuracy': 0.6864813039309684} |
| 0.0028        | 1435.0 | 96145  | 3.7095          | {'f1': 0.7887323943661971} | {'accuracy': 0.6836049856184084} |
| 0.0028        | 1436.0 | 96212  | 3.6431          | {'f1': 0.7901390644753477} | {'accuracy': 0.6816874400767018} |
| 0.0028        | 1437.0 | 96279  | 3.6659          | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
| 0.0028        | 1438.0 | 96346  | 3.8164          | {'f1': 0.7915057915057916} | {'accuracy': 0.6893576222435283} |
| 0.0028        | 1439.0 | 96413  | 4.0316          | {'f1': 0.7943696450428397} | {'accuracy': 0.6778523489932886} |
| 0.0028        | 1440.0 | 96480  | 3.9612          | {'f1': 0.789980732177264}  | {'accuracy': 0.6864813039309684} |
| 0.0022        | 1441.0 | 96547  | 4.0944          | {'f1': 0.7943349753694582} | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1442.0 | 96614  | 4.0300          | {'f1': 0.7878787878787878} | {'accuracy': 0.6845637583892618} |
| 0.0022        | 1443.0 | 96681  | 4.0878          | {'f1': 0.7902010050251256} | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1444.0 | 96748  | 2.6609          | {'f1': 0.7903123008285532} | {'accuracy': 0.6845637583892618} |
| 0.0022        | 1445.0 | 96815  | 3.1001          | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1446.0 | 96882  | 3.2334          | {'f1': 0.7975}             | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1447.0 | 96949  | 3.3149          | {'f1': 0.7975}             | {'accuracy': 0.6893576222435283} |
| 0.0056        | 1448.0 | 97016  | 2.9839          | {'f1': 0.7967980295566502} | {'accuracy': 0.6836049856184084} |
| 0.0056        | 1449.0 | 97083  | 3.2777          | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
| 0.0056        | 1450.0 | 97150  | 3.4127          | {'f1': 0.7921914357682619} | {'accuracy': 0.6836049856184084} |
| 0.0056        | 1451.0 | 97217  | 3.4066          | {'f1': 0.7975460122699386} | {'accuracy': 0.6836049856184084} |
| 0.0056        | 1452.0 | 97284  | 3.4439          | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
| 0.0056        | 1453.0 | 97351  | 3.4630          | {'f1': 0.7878787878787878} | {'accuracy': 0.6845637583892618} |
| 0.0056        | 1454.0 | 97418  | 3.5340          | {'f1': 0.787917737789203}  | {'accuracy': 0.6836049856184084} |
| 0.0056        | 1455.0 | 97485  | 3.6116          | {'f1': 0.7900763358778626} | {'accuracy': 0.6836049856184084} |
| 0.001         | 1456.0 | 97552  | 3.6596          | {'f1': 0.7908455181182453} | {'accuracy': 0.6845637583892618} |
| 0.001         | 1457.0 | 97619  | 3.7172          | {'f1': 0.7942101950912525} | {'accuracy': 0.6864813039309684} |
| 0.001         | 1458.0 | 97686  | 3.8821          | {'f1': 0.8041112454655381} | {'accuracy': 0.6893576222435283} |
| 0.001         | 1459.0 | 97753  | 3.9079          | {'f1': 0.7962848297213623} | {'accuracy': 0.6845637583892618} |
| 0.001         | 1460.0 | 97820  | 3.9333          | {'f1': 0.795525170913611}  | {'accuracy': 0.6845637583892618} |
| 0.001         | 1461.0 | 97887  | 3.9671          | {'f1': 0.7950155763239874} | {'accuracy': 0.6845637583892618} |
| 0.001         | 1462.0 | 97954  | 4.0220          | {'f1': 0.8128342245989304} | {'accuracy': 0.697986577181208}  |
| 0.002         | 1463.0 | 98021  | 3.8808          | {'f1': 0.7972551466001249} | {'accuracy': 0.6883988494726749} |
| 0.002         | 1464.0 | 98088  | 3.2191          | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
| 0.002         | 1465.0 | 98155  | 3.1337          | {'f1': 0.7865459249676584} | {'accuracy': 0.6836049856184084} |
| 0.002         | 1466.0 | 98222  | 3.5121          | {'f1': 0.7934918648310388} | {'accuracy': 0.6836049856184084} |
| 0.002         | 1467.0 | 98289  | 3.5791          | {'f1': 0.7920298879202988} | {'accuracy': 0.6797698945349953} |
| 0.002         | 1468.0 | 98356  | 3.6671          | {'f1': 0.7945375543140906} | {'accuracy': 0.6826462128475551} |
| 0.002         | 1469.0 | 98423  | 3.7416          | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
| 0.002         | 1470.0 | 98490  | 3.7897          | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
| 0.0032        | 1471.0 | 98557  | 3.8409          | {'f1': 0.7930391547545058} | {'accuracy': 0.6807286673058485} |
| 0.0032        | 1472.0 | 98624  | 3.8764          | {'f1': 0.7925233644859814} | {'accuracy': 0.6807286673058485} |
| 0.0032        | 1473.0 | 98691  | 3.7442          | {'f1': 0.7957124842370744} | {'accuracy': 0.6893576222435283} |
| 0.0032        | 1474.0 | 98758  | 3.5361          | {'f1': 0.7835723598435462} | {'accuracy': 0.6816874400767018} |
| 0.0032        | 1475.0 | 98825  | 3.6365          | {'f1': 0.7843388960205392} | {'accuracy': 0.6778523489932886} |
| 0.0032        | 1476.0 | 98892  | 3.6972          | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
| 0.0032        | 1477.0 | 98959  | 3.4654          | {'f1': 0.7896725440806045} | {'accuracy': 0.6797698945349953} |
| 0.0042        | 1478.0 | 99026  | 3.5478          | {'f1': 0.7887683471601787} | {'accuracy': 0.6826462128475551} |
| 0.0042        | 1479.0 | 99093  | 3.6689          | {'f1': 0.7872204472843451} | {'accuracy': 0.6807286673058485} |
| 0.0042        | 1480.0 | 99160  | 3.7419          | {'f1': 0.7853939782190903} | {'accuracy': 0.6788111217641419} |
| 0.0042        | 1481.0 | 99227  | 3.7795          | {'f1': 0.7867177522349936} | {'accuracy': 0.6797698945349953} |
| 0.0042        | 1482.0 | 99294  | 3.8072          | {'f1': 0.7867177522349936} | {'accuracy': 0.6797698945349953} |
| 0.0042        | 1483.0 | 99361  | 3.8444          | {'f1': 0.7895740623013351} | {'accuracy': 0.6826462128475551} |
| 0.0042        | 1484.0 | 99428  | 3.4205          | {'f1': 0.796032238065716}  | {'accuracy': 0.6845637583892618} |
| 0.0042        | 1485.0 | 99495  | 3.7125          | {'f1': 0.7967881408276715} | {'accuracy': 0.6845637583892618} |
| 0.0021        | 1486.0 | 99562  | 3.5731          | {'f1': 0.7941735275490817} | {'accuracy': 0.6883988494726749} |
| 0.0021        | 1487.0 | 99629  | 3.5467          | {'f1': 0.802252816020025}  | {'accuracy': 0.6970278044103547} |
| 0.0021        | 1488.0 | 99696  | 3.3460          | {'f1': 0.7716955941255007} | {'accuracy': 0.6720997123681688} |
| 0.0021        | 1489.0 | 99763  | 3.5381          | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
| 0.0021        | 1490.0 | 99830  | 3.5567          | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
| 0.0021        | 1491.0 | 99897  | 3.5840          | {'f1': 0.7820429407937541} | {'accuracy': 0.6788111217641419} |
| 0.0021        | 1492.0 | 99964  | 3.6197          | {'f1': 0.7833441769681196} | {'accuracy': 0.6807286673058485} |
| 0.0023        | 1493.0 | 100031 | 3.8801          | {'f1': 0.801470588235294}  | {'accuracy': 0.6893576222435283} |
| 0.0023        | 1494.0 | 100098 | 3.8196          | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
| 0.0023        | 1495.0 | 100165 | 3.9101          | {'f1': 0.7924764890282132} | {'accuracy': 0.6826462128475551} |
| 0.0023        | 1496.0 | 100232 | 3.8737          | {'f1': 0.7937304075235111} | {'accuracy': 0.6845637583892618} |
| 0.0023        | 1497.0 | 100299 | 3.8839          | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
| 0.0023        | 1498.0 | 100366 | 3.8983          | {'f1': 0.7922159447583176} | {'accuracy': 0.6826462128475551} |
| 0.0023        | 1499.0 | 100433 | 3.8861          | {'f1': 0.795525170913611}  | {'accuracy': 0.6845637583892618} |
| 0.0023        | 1500.0 | 100500 | 3.7224          | {'f1': 0.7930174563591023} | {'accuracy': 0.6816874400767018} |
| 0.0023        | 1501.0 | 100567 | 3.5882          | {'f1': 0.7987654320987654} | {'accuracy': 0.6874400767018217} |
| 0.0023        | 1502.0 | 100634 | 3.7528          | {'f1': 0.7999999999999999} | {'accuracy': 0.6874400767018217} |
| 0.0023        | 1503.0 | 100701 | 3.8137          | {'f1': 0.7987692307692308} | {'accuracy': 0.6864813039309684} |
| 0.0023        | 1504.0 | 100768 | 3.7997          | {'f1': 0.7901390644753477} | {'accuracy': 0.6816874400767018} |
| 0.0023        | 1505.0 | 100835 | 3.8251          | {'f1': 0.7865311308767472} | {'accuracy': 0.6778523489932886} |
| 0.0023        | 1506.0 | 100902 | 3.7625          | {'f1': 0.7877237851662404} | {'accuracy': 0.6816874400767018} |
| 0.0023        | 1507.0 | 100969 | 3.8550          | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
| 0.0025        | 1508.0 | 101036 | 3.9085          | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
| 0.0025        | 1509.0 | 101103 | 4.0174          | {'f1': 0.7683997299122215} | {'accuracy': 0.6711409395973155} |
| 0.0025        | 1510.0 | 101170 | 3.8887          | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
| 0.0025        | 1511.0 | 101237 | 3.9713          | {'f1': 0.8034292712798531} | {'accuracy': 0.6922339405560882} |
| 0.0025        | 1512.0 | 101304 | 3.9676          | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| 0.0025        | 1513.0 | 101371 | 4.1217          | {'f1': 0.7922885572139303} | {'accuracy': 0.6797698945349953} |
| 0.0025        | 1514.0 | 101438 | 4.1307          | {'f1': 0.792803970223325}  | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1515.0 | 101505 | 4.1507          | {'f1': 0.7937694704049844} | {'accuracy': 0.6826462128475551} |
| 0.0022        | 1516.0 | 101572 | 4.1694          | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
| 0.0022        | 1517.0 | 101639 | 4.1070          | {'f1': 0.7830618892508142} | {'accuracy': 0.6807286673058485} |
| 0.0022        | 1518.0 | 101706 | 4.1144          | {'f1': 0.7897371714643304} | {'accuracy': 0.6778523489932886} |
| 0.0022        | 1519.0 | 101773 | 4.1304          | {'f1': 0.7904940587867417} | {'accuracy': 0.6788111217641419} |
| 0.0022        | 1520.0 | 101840 | 4.1613          | {'f1': 0.7943349753694582} | {'accuracy': 0.6797698945349953} |
| 0.0022        | 1521.0 | 101907 | 2.8205          | {'f1': 0.8000000000000002} | {'accuracy': 0.6864813039309684} |
| 0.0022        | 1522.0 | 101974 | 2.9388          | {'f1': 0.7928616953473551} | {'accuracy': 0.6883988494726749} |
| 0.0052        | 1523.0 | 102041 | 3.3218          | {'f1': 0.8034504004929144} | {'accuracy': 0.6941514860977949} |
| 0.0052        | 1524.0 | 102108 | 3.6264          | {'f1': 0.8048929663608563} | {'accuracy': 0.6941514860977949} |
| 0.0052        | 1525.0 | 102175 | 3.6915          | {'f1': 0.7895740623013351} | {'accuracy': 0.6826462128475551} |
| 0.0052        | 1526.0 | 102242 | 3.7584          | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
| 0.0052        | 1527.0 | 102309 | 3.7586          | {'f1': 0.7881899871630295} | {'accuracy': 0.6836049856184084} |
| 0.0052        | 1528.0 | 102376 | 3.8460          | {'f1': 0.776595744680851}  | {'accuracy': 0.6778523489932886} |
| 0.0052        | 1529.0 | 102443 | 3.9641          | {'f1': 0.7866752081998718} | {'accuracy': 0.6807286673058485} |
| 0.0014        | 1530.0 | 102510 | 3.9847          | {'f1': 0.7866752081998718} | {'accuracy': 0.6807286673058485} |
| 0.0014        | 1531.0 | 102577 | 4.0077          | {'f1': 0.7874519846350833} | {'accuracy': 0.6816874400767018} |
| 0.0014        | 1532.0 | 102644 | 3.9787          | {'f1': 0.7925233644859814} | {'accuracy': 0.6807286673058485} |
| 0.0014        | 1533.0 | 102711 | 4.0011          | {'f1': 0.7927815805849409} | {'accuracy': 0.6807286673058485} |
| 0.0014        | 1534.0 | 102778 | 4.0214          | {'f1': 0.7927815805849409} | {'accuracy': 0.6807286673058485} |
| 0.0014        | 1535.0 | 102845 | 4.0718          | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
| 0.0014        | 1536.0 | 102912 | 4.1053          | {'f1': 0.7939508506616256} | {'accuracy': 0.6864813039309684} |
| 0.0014        | 1537.0 | 102979 | 4.1312          | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
| 0.0004        | 1538.0 | 103046 | 4.1561          | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| 0.0004        | 1539.0 | 103113 | 4.1738          | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0004        | 1540.0 | 103180 | 4.2048          | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
| 0.0004        | 1541.0 | 103247 | 4.2178          | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
| 0.0004        | 1542.0 | 103314 | 4.2313          | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
| 0.0004        | 1543.0 | 103381 | 4.2515          | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
| 0.0004        | 1544.0 | 103448 | 4.2633          | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
| 0.0           | 1545.0 | 103515 | 4.2731          | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
| 0.0           | 1546.0 | 103582 | 4.3004          | {'f1': 0.7905792488860598} | {'accuracy': 0.6845637583892618} |
| 0.0           | 1547.0 | 103649 | 4.2600          | {'f1': 0.8108433734939758} | {'accuracy': 0.6989453499520614} |
| 0.0           | 1548.0 | 103716 | 4.2463          | {'f1': 0.7972889710412815} | {'accuracy': 0.6845637583892618} |
| 0.0           | 1549.0 | 103783 | 4.2732          | {'f1': 0.7924764890282132} | {'accuracy': 0.6826462128475551} |
| 0.0           | 1550.0 | 103850 | 3.8756          | {'f1': 0.8043875685557585} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1551.0 | 103917 | 3.2448          | {'f1': 0.7796610169491526} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1552.0 | 103984 | 3.3519          | {'f1': 0.7755905511811024} | {'accuracy': 0.6720997123681688} |
| 0.0053        | 1553.0 | 104051 | 3.4056          | {'f1': 0.7838541666666667} | {'accuracy': 0.6816874400767018} |
| 0.0053        | 1554.0 | 104118 | 3.3728          | {'f1': 0.7960687960687961} | {'accuracy': 0.6816874400767018} |
| 0.0053        | 1555.0 | 104185 | 3.4948          | {'f1': 0.7962962962962964} | {'accuracy': 0.6836049856184084} |
| 0.0053        | 1556.0 | 104252 | 3.5787          | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
| 0.0053        | 1557.0 | 104319 | 3.6518          | {'f1': 0.802937576499388}  | {'accuracy': 0.6912751677852349} |
| 0.0053        | 1558.0 | 104386 | 3.6993          | {'f1': 0.7856685860524631} | {'accuracy': 0.6788111217641419} |
| 0.0053        | 1559.0 | 104453 | 3.7444          | {'f1': 0.7858974358974359} | {'accuracy': 0.6797698945349953} |
| 0.0023        | 1560.0 | 104520 | 3.7746          | {'f1': 0.7929956222639148} | {'accuracy': 0.6826462128475551} |
| 0.0023        | 1561.0 | 104587 | 3.7981          | {'f1': 0.7909604519774011} | {'accuracy': 0.6807286673058485} |
| 0.0023        | 1562.0 | 104654 | 3.8361          | {'f1': 0.7914572864321608} | {'accuracy': 0.6816874400767018} |
| 0.0023        | 1563.0 | 104721 | 3.4894          | {'f1': 0.797724399494311}  | {'accuracy': 0.6931927133269415} |
| 0.0023        | 1564.0 | 104788 | 3.3312          | {'f1': 0.7967067764407854} | {'accuracy': 0.6922339405560882} |
| 0.0023        | 1565.0 | 104855 | 3.4150          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0023        | 1566.0 | 104922 | 3.5188          | {'f1': 0.8034610630407911} | {'accuracy': 0.6951102588686481} |
| 0.0023        | 1567.0 | 104989 | 3.5993          | {'f1': 0.7944688874921433} | {'accuracy': 0.6864813039309684} |
| 0.0039        | 1568.0 | 105056 | 3.6588          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0039        | 1569.0 | 105123 | 3.6182          | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
| 0.0039        | 1570.0 | 105190 | 3.6035          | {'f1': 0.797752808988764}  | {'accuracy': 0.6893576222435283} |
| 0.0039        | 1571.0 | 105257 | 3.0259          | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208}  |
| 0.0039        | 1572.0 | 105324 | 2.7303          | {'f1': 0.7826657912015758} | {'accuracy': 0.6826462128475551} |
| 0.0039        | 1573.0 | 105391 | 3.0361          | {'f1': 0.8044554455445544} | {'accuracy': 0.6970278044103547} |
| 0.0039        | 1574.0 | 105458 | 3.1971          | {'f1': 0.8027380211574363} | {'accuracy': 0.6960690316395014} |
| 0.0041        | 1575.0 | 105525 | 3.3204          | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
| 0.0041        | 1576.0 | 105592 | 3.3879          | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
| 0.0041        | 1577.0 | 105659 | 3.4529          | {'f1': 0.799240025332489}  | {'accuracy': 0.6960690316395014} |
| 0.0041        | 1578.0 | 105726 | 3.4423          | {'f1': 0.7910828025477706} | {'accuracy': 0.6855225311601151} |
| 0.0041        | 1579.0 | 105793 | 3.5559          | {'f1': 0.7997520148791073} | {'accuracy': 0.6903163950143816} |
| 0.0041        | 1580.0 | 105860 | 3.5181          | {'f1': 0.7915330339961514} | {'accuracy': 0.6883988494726749} |
| 0.0041        | 1581.0 | 105927 | 3.7802          | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
| 0.0041        | 1582.0 | 105994 | 3.7558          | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
| 0.0021        | 1583.0 | 106061 | 3.8630          | {'f1': 0.7937304075235111} | {'accuracy': 0.6845637583892618} |
| 0.0021        | 1584.0 | 106128 | 3.8877          | {'f1': 0.794486215538847}  | {'accuracy': 0.6855225311601151} |
| 0.0021        | 1585.0 | 106195 | 3.9093          | {'f1': 0.794486215538847}  | {'accuracy': 0.6855225311601151} |
| 0.0021        | 1586.0 | 106262 | 4.0294          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0021        | 1587.0 | 106329 | 4.1821          | {'f1': 0.7855297157622738} | {'accuracy': 0.6816874400767018} |
| 0.0021        | 1588.0 | 106396 | 4.1093          | {'f1': 0.7920298879202988} | {'accuracy': 0.6797698945349953} |
| 0.0021        | 1589.0 | 106463 | 4.0642          | {'f1': 0.8004910988336403} | {'accuracy': 0.6883988494726749} |
| 0.0022        | 1590.0 | 106530 | 4.1014          | {'f1': 0.8002458512599877} | {'accuracy': 0.6883988494726749} |
| 0.0022        | 1591.0 | 106597 | 4.1137          | {'f1': 0.8002458512599877} | {'accuracy': 0.6883988494726749} |
| 0.0022        | 1592.0 | 106664 | 4.1217          | {'f1': 0.8002466091245377} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1593.0 | 106731 | 4.1343          | {'f1': 0.8002466091245377} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1594.0 | 106798 | 3.8850          | {'f1': 0.788896061975468}  | {'accuracy': 0.6864813039309684} |
| 0.0022        | 1595.0 | 106865 | 4.0425          | {'f1': 0.7970660146699265} | {'accuracy': 0.6816874400767018} |
| 0.0022        | 1596.0 | 106932 | 4.0677          | {'f1': 0.7968078575813382} | {'accuracy': 0.6826462128475551} |
| 0.0022        | 1597.0 | 106999 | 4.0900          | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
| 0.0012        | 1598.0 | 107066 | 4.1110          | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
| 0.0012        | 1599.0 | 107133 | 4.1241          | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
| 0.0012        | 1600.0 | 107200 | 4.1416          | {'f1': 0.7965260545905707} | {'accuracy': 0.6855225311601151} |
| 0.0012        | 1601.0 | 107267 | 4.1563          | {'f1': 0.796273291925466}  | {'accuracy': 0.6855225311601151} |
| 0.0012        | 1602.0 | 107334 | 4.1722          | {'f1': 0.7970204841713222} | {'accuracy': 0.6864813039309684} |
| 0.0012        | 1603.0 | 107401 | 4.1870          | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
| 0.0012        | 1604.0 | 107468 | 4.2041          | {'f1': 0.7970204841713222} | {'accuracy': 0.6864813039309684} |
| 0.0           | 1605.0 | 107535 | 4.2186          | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
| 0.0           | 1606.0 | 107602 | 3.8197          | {'f1': 0.7879564381806533} | {'accuracy': 0.6826462128475551} |
| 0.0           | 1607.0 | 107669 | 3.9413          | {'f1': 0.7885350318471337} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1608.0 | 107736 | 4.0083          | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
| 0.0           | 1609.0 | 107803 | 4.0489          | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
| 0.0           | 1610.0 | 107870 | 4.0726          | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
| 0.0           | 1611.0 | 107937 | 4.1010          | {'f1': 0.794451450189155}  | {'accuracy': 0.6874400767018217} |
| 0.0009        | 1612.0 | 108004 | 4.1190          | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
| 0.0009        | 1613.0 | 108071 | 4.1431          | {'f1': 0.794451450189155}  | {'accuracy': 0.6874400767018217} |
| 0.0009        | 1614.0 | 108138 | 4.1575          | {'f1': 0.7962264150943396} | {'accuracy': 0.6893576222435283} |
| 0.0009        | 1615.0 | 108205 | 3.1793          | {'f1': 0.7915601023017901} | {'accuracy': 0.6874400767018217} |
| 0.0009        | 1616.0 | 108272 | 3.1908          | {'f1': 0.7969348659003831} | {'accuracy': 0.6951102588686481} |
| 0.0009        | 1617.0 | 108339 | 3.4530          | {'f1': 0.7982176957352005} | {'accuracy': 0.6960690316395014} |
| 0.0009        | 1618.0 | 108406 | 3.6305          | {'f1': 0.7972465581977473} | {'accuracy': 0.6893576222435283} |
| 0.0009        | 1619.0 | 108473 | 3.7223          | {'f1': 0.8017294626312539} | {'accuracy': 0.6922339405560882} |
| 0.0039        | 1620.0 | 108540 | 3.7554          | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
| 0.0039        | 1621.0 | 108607 | 3.7986          | {'f1': 0.7987421383647799} | {'accuracy': 0.6931927133269415} |
| 0.0039        | 1622.0 | 108674 | 3.8255          | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
| 0.0039        | 1623.0 | 108741 | 3.8519          | {'f1': 0.8}                | {'accuracy': 0.6970278044103547} |
| 0.0039        | 1624.0 | 108808 | 3.9522          | {'f1': 0.8007425742574258} | {'accuracy': 0.6912751677852349} |
| 0.0039        | 1625.0 | 108875 | 4.0400          | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
| 0.0039        | 1626.0 | 108942 | 4.0046          | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
| 0.0007        | 1627.0 | 109009 | 4.0444          | {'f1': 0.7987500000000002} | {'accuracy': 0.6912751677852349} |
| 0.0007        | 1628.0 | 109076 | 4.0479          | {'f1': 0.7989949748743719} | {'accuracy': 0.6931927133269415} |
| 0.0007        | 1629.0 | 109143 | 4.0185          | {'f1': 0.7808764940239044} | {'accuracy': 0.6836049856184084} |
| 0.0007        | 1630.0 | 109210 | 4.0807          | {'f1': 0.7735849056603774} | {'accuracy': 0.6778523489932886} |
| 0.0007        | 1631.0 | 109277 | 4.0875          | {'f1': 0.7811671087533156} | {'accuracy': 0.6836049856184084} |
| 0.0007        | 1632.0 | 109344 | 4.0152          | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
| 0.0007        | 1633.0 | 109411 | 4.0305          | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
| 0.0007        | 1634.0 | 109478 | 4.0407          | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
| 0.0008        | 1635.0 | 109545 | 4.2311          | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
| 0.0008        | 1636.0 | 109612 | 4.2416          | {'f1': 0.8009797917942437} | {'accuracy': 0.6883988494726749} |
| 0.0008        | 1637.0 | 109679 | 3.9004          | {'f1': 0.7959053103007038} | {'accuracy': 0.6941514860977949} |
| 0.0008        | 1638.0 | 109746 | 3.9997          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0008        | 1639.0 | 109813 | 4.0388          | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
| 0.0008        | 1640.0 | 109880 | 4.0510          | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
| 0.0008        | 1641.0 | 109947 | 4.0671          | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
| 0.001         | 1642.0 | 110014 | 4.0815          | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
| 0.001         | 1643.0 | 110081 | 4.1041          | {'f1': 0.802252816020025}  | {'accuracy': 0.6970278044103547} |
| 0.001         | 1644.0 | 110148 | 4.0852          | {'f1': 0.778585591539987}  | {'accuracy': 0.6788111217641419} |
| 0.001         | 1645.0 | 110215 | 4.1923          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.001         | 1646.0 | 110282 | 3.5644          | {'f1': 0.7862156987874921} | {'accuracy': 0.6788111217641419} |
| 0.001         | 1647.0 | 110349 | 3.7453          | {'f1': 0.800497203231821}  | {'accuracy': 0.6922339405560882} |
| 0.001         | 1648.0 | 110416 | 3.7919          | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.001         | 1649.0 | 110483 | 3.8302          | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.002         | 1650.0 | 110550 | 3.8901          | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
| 0.002         | 1651.0 | 110617 | 3.9527          | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
| 0.002         | 1652.0 | 110684 | 3.9801          | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
| 0.002         | 1653.0 | 110751 | 4.0161          | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| 0.002         | 1654.0 | 110818 | 4.0293          | {'f1': 0.7957393483709274} | {'accuracy': 0.6874400767018217} |
| 0.002         | 1655.0 | 110885 | 4.0505          | {'f1': 0.7921667719519899} | {'accuracy': 0.6845637583892618} |
| 0.002         | 1656.0 | 110952 | 4.0706          | {'f1': 0.7911111111111112} | {'accuracy': 0.6845637583892618} |
| 0.0003        | 1657.0 | 111019 | 4.1681          | {'f1': 0.8021911138161899} | {'accuracy': 0.6883988494726749} |
| 0.0003        | 1658.0 | 111086 | 4.2152          | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
| 0.0003        | 1659.0 | 111153 | 4.2482          | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
| 0.0003        | 1660.0 | 111220 | 4.2729          | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
| 0.0003        | 1661.0 | 111287 | 4.2937          | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
| 0.0003        | 1662.0 | 111354 | 4.1520          | {'f1': 0.7900128040973112} | {'accuracy': 0.6855225311601151} |
| 0.0003        | 1663.0 | 111421 | 4.1884          | {'f1': 0.791025641025641}  | {'accuracy': 0.6874400767018217} |
| 0.0003        | 1664.0 | 111488 | 4.2273          | {'f1': 0.7933673469387755} | {'accuracy': 0.6893576222435283} |
| 0.0005        | 1665.0 | 111555 | 4.2483          | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
| 0.0005        | 1666.0 | 111622 | 4.2647          | {'f1': 0.7964489537095751} | {'accuracy': 0.6922339405560882} |
| 0.0005        | 1667.0 | 111689 | 4.3076          | {'f1': 0.7979797979797981} | {'accuracy': 0.6931927133269415} |
| 0.0005        | 1668.0 | 111756 | 4.3231          | {'f1': 0.7974763406940064} | {'accuracy': 0.6922339405560882} |
| 0.0005        | 1669.0 | 111823 | 4.4933          | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
| 0.0005        | 1670.0 | 111890 | 4.5103          | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
| 0.0005        | 1671.0 | 111957 | 4.5242          | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1672.0 | 112024 | 4.6731          | {'f1': 0.8120924718435093} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1673.0 | 112091 | 3.9627          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0           | 1674.0 | 112158 | 4.0934          | {'f1': 0.7830065359477124} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1675.0 | 112225 | 4.1837          | {'f1': 0.780392156862745}  | {'accuracy': 0.6778523489932886} |
| 0.0           | 1676.0 | 112292 | 4.1882          | {'f1': 0.7997550520514392} | {'accuracy': 0.6864813039309684} |
| 0.0           | 1677.0 | 112359 | 4.2919          | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
| 0.0           | 1678.0 | 112426 | 4.3186          | {'f1': 0.791640278657378}  | {'accuracy': 0.6845637583892618} |
| 0.0           | 1679.0 | 112493 | 3.9454          | {'f1': 0.8034188034188033} | {'accuracy': 0.6912751677852349} |
| 0.0043        | 1680.0 | 112560 | 3.9531          | {'f1': 0.8091511137868754} | {'accuracy': 0.6960690316395014} |
| 0.0043        | 1681.0 | 112627 | 3.9804          | {'f1': 0.8012232415902141} | {'accuracy': 0.6883988494726749} |
| 0.0043        | 1682.0 | 112694 | 3.9714          | {'f1': 0.7951807228915663} | {'accuracy': 0.6903163950143816} |
| 0.0043        | 1683.0 | 112761 | 3.8504          | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
| 0.0043        | 1684.0 | 112828 | 3.7065          | {'f1': 0.7992610837438424} | {'accuracy': 0.6874400767018217} |
| 0.0043        | 1685.0 | 112895 | 3.7996          | {'f1': 0.7969735182849936} | {'accuracy': 0.6912751677852349} |
| 0.0043        | 1686.0 | 112962 | 3.8814          | {'f1': 0.7959949937421777} | {'accuracy': 0.6874400767018217} |
| 0.0015        | 1687.0 | 113029 | 3.9349          | {'f1': 0.7935121646912041} | {'accuracy': 0.6826462128475551} |
| 0.0015        | 1688.0 | 113096 | 4.0164          | {'f1': 0.7987730061349694} | {'accuracy': 0.6855225311601151} |
| 0.0015        | 1689.0 | 113163 | 4.0515          | {'f1': 0.7997550520514392} | {'accuracy': 0.6864813039309684} |
| 0.0015        | 1690.0 | 113230 | 4.0846          | {'f1': 0.7992656058751529} | {'accuracy': 0.6855225311601151} |
| 0.0015        | 1691.0 | 113297 | 4.1045          | {'f1': 0.7992633517495396} | {'accuracy': 0.6864813039309684} |
| 0.0015        | 1692.0 | 113364 | 3.8065          | {'f1': 0.7959570435881237} | {'accuracy': 0.6903163950143816} |
| 0.0015        | 1693.0 | 113431 | 3.7611          | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
| 0.0015        | 1694.0 | 113498 | 3.8503          | {'f1': 0.7982565379825654} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1695.0 | 113565 | 3.7929          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0022        | 1696.0 | 113632 | 3.8285          | {'f1': 0.7994971715901948} | {'accuracy': 0.6941514860977949} |
| 0.0022        | 1697.0 | 113699 | 3.8483          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0022        | 1698.0 | 113766 | 3.8835          | {'f1': 0.7992471769134253} | {'accuracy': 0.6931927133269415} |
| 0.0022        | 1699.0 | 113833 | 3.9045          | {'f1': 0.7997489014438168} | {'accuracy': 0.6941514860977949} |
| 0.0022        | 1700.0 | 113900 | 3.9716          | {'f1': 0.8009828009828011} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 1701.0 | 113967 | 4.0098          | {'f1': 0.8024767801857585} | {'accuracy': 0.6941514860977949} |
| 0.0003        | 1702.0 | 114034 | 4.0206          | {'f1': 0.8024767801857585} | {'accuracy': 0.6941514860977949} |
| 0.0003        | 1703.0 | 114101 | 3.9547          | {'f1': 0.7976878612716763} | {'accuracy': 0.697986577181208}  |
| 0.0003        | 1704.0 | 114168 | 4.1614          | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
| 0.0003        | 1705.0 | 114235 | 4.1969          | {'f1': 0.799752781211372}  | {'accuracy': 0.6893576222435283} |
| 0.0003        | 1706.0 | 114302 | 4.1978          | {'f1': 0.7922829581993568} | {'accuracy': 0.6903163950143816} |
| 0.0003        | 1707.0 | 114369 | 4.2246          | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
| 0.0003        | 1708.0 | 114436 | 4.2597          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1709.0 | 114503 | 4.2687          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1710.0 | 114570 | 4.2752          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1711.0 | 114637 | 4.2816          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1712.0 | 114704 | 4.2883          | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1713.0 | 114771 | 4.3177          | {'f1': 0.8}                | {'accuracy': 0.6931927133269415} |
| 0.0002        | 1714.0 | 114838 | 4.3235          | {'f1': 0.8}                | {'accuracy': 0.6931927133269415} |
| 0.0002        | 1715.0 | 114905 | 4.3333          | {'f1': 0.7992495309568481} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1716.0 | 114972 | 4.3440          | {'f1': 0.7994987468671679} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1717.0 | 115039 | 4.3494          | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1718.0 | 115106 | 4.3557          | {'f1': 0.7982456140350878} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1719.0 | 115173 | 4.3805          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1720.0 | 115240 | 4.4031          | {'f1': 0.800995024875622}  | {'accuracy': 0.6931927133269415} |
| 0.0           | 1721.0 | 115307 | 4.4235          | {'f1': 0.800995024875622}  | {'accuracy': 0.6931927133269415} |
| 0.0           | 1722.0 | 115374 | 4.4337          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1723.0 | 115441 | 4.4390          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1724.0 | 115508 | 4.4440          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1725.0 | 115575 | 4.4488          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1726.0 | 115642 | 4.4545          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1727.0 | 115709 | 4.4591          | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1728.0 | 115776 | 4.2258          | {'f1': 0.7953518398967075} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1729.0 | 115843 | 4.2953          | {'f1': 0.8017732742241925} | {'accuracy': 0.6999041227229147} |
| 0.0           | 1730.0 | 115910 | 4.3048          | {'f1': 0.8025316455696203} | {'accuracy': 0.700862895493768}  |
| 0.0           | 1731.0 | 115977 | 4.3136          | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
| 0.0007        | 1732.0 | 116044 | 4.4216          | {'f1': 0.8059332509270706} | {'accuracy': 0.6989453499520614} |
| 0.0007        | 1733.0 | 116111 | 4.2644          | {'f1': 0.8032078963602715} | {'accuracy': 0.6941514860977949} |
| 0.0007        | 1734.0 | 116178 | 4.3293          | {'f1': 0.805606337599025}  | {'accuracy': 0.6941514860977949} |
| 0.0007        | 1735.0 | 116245 | 4.3773          | {'f1': 0.812687013764213}  | {'accuracy': 0.6999041227229147} |
| 0.0007        | 1736.0 | 116312 | 4.3512          | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
| 0.0007        | 1737.0 | 116379 | 4.3705          | {'f1': 0.7997542997542998} | {'accuracy': 0.6874400767018217} |
| 0.0007        | 1738.0 | 116446 | 4.4199          | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
| 0.0015        | 1739.0 | 116513 | 4.4825          | {'f1': 0.8034188034188033} | {'accuracy': 0.6912751677852349} |
| 0.0015        | 1740.0 | 116580 | 4.5273          | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
| 0.0015        | 1741.0 | 116647 | 4.5368          | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
| 0.0015        | 1742.0 | 116714 | 4.5421          | {'f1': 0.8120120120120119} | {'accuracy': 0.6999041227229147} |
| 0.0015        | 1743.0 | 116781 | 4.6621          | {'f1': 0.8}                | {'accuracy': 0.6903163950143816} |
| 0.0015        | 1744.0 | 116848 | 4.6713          | {'f1': 0.8}                | {'accuracy': 0.6903163950143816} |
| 0.0015        | 1745.0 | 116915 | 4.7036          | {'f1': 0.8115246098439376} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1746.0 | 116982 | 4.7168          | {'f1': 0.8108108108108109} | {'accuracy': 0.697986577181208}  |
| 0.0007        | 1747.0 | 117049 | 4.7416          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0007        | 1748.0 | 117116 | 4.8067          | {'f1': 0.7936507936507936} | {'accuracy': 0.6883988494726749} |
| 0.0007        | 1749.0 | 117183 | 4.8137          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1750.0 | 117250 | 4.8263          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1751.0 | 117317 | 4.8359          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1752.0 | 117384 | 4.8419          | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1753.0 | 117451 | 4.8977          | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1754.0 | 117518 | 4.9035          | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1755.0 | 117585 | 4.9096          | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1756.0 | 117652 | 4.9474          | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
| 0.0           | 1757.0 | 117719 | 4.9459          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1758.0 | 117786 | 4.9515          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1759.0 | 117853 | 4.9568          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1760.0 | 117920 | 4.9625          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1761.0 | 117987 | 4.9687          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1762.0 | 118054 | 4.9740          | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1763.0 | 118121 | 4.9803          | {'f1': 0.8046398046398046} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1764.0 | 118188 | 4.9855          | {'f1': 0.8046398046398046} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1765.0 | 118255 | 5.0646          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1766.0 | 118322 | 5.0969          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1767.0 | 118389 | 5.1004          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1768.0 | 118456 | 5.1042          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1769.0 | 118523 | 5.1078          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1770.0 | 118590 | 5.1133          | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1771.0 | 118657 | 5.1175          | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1772.0 | 118724 | 5.1214          | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1773.0 | 118791 | 5.1284          | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1774.0 | 118858 | 5.1329          | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1775.0 | 118925 | 3.9687          | {'f1': 0.8021911138161899} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1776.0 | 118992 | 4.0306          | {'f1': 0.8012158054711246} | {'accuracy': 0.6864813039309684} |
| 0.0033        | 1777.0 | 119059 | 4.1039          | {'f1': 0.8012158054711246} | {'accuracy': 0.6864813039309684} |
| 0.0033        | 1778.0 | 119126 | 4.1862          | {'f1': 0.7990226023213196} | {'accuracy': 0.6845637583892618} |
| 0.0033        | 1779.0 | 119193 | 4.2500          | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
| 0.0033        | 1780.0 | 119260 | 4.2913          | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
| 0.0033        | 1781.0 | 119327 | 4.3281          | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
| 0.0033        | 1782.0 | 119394 | 4.3610          | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
| 0.0033        | 1783.0 | 119461 | 4.5137          | {'f1': 0.796044499381953}  | {'accuracy': 0.6836049856184084} |
| 0.0002        | 1784.0 | 119528 | 4.2687          | {'f1': 0.802439024390244}  | {'accuracy': 0.6893576222435283} |
| 0.0002        | 1785.0 | 119595 | 4.1930          | {'f1': 0.8058252427184465} | {'accuracy': 0.6931927133269415} |
| 0.0002        | 1786.0 | 119662 | 4.2328          | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
| 0.0002        | 1787.0 | 119729 | 4.2925          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0002        | 1788.0 | 119796 | 4.3251          | {'f1': 0.802679658952497}  | {'accuracy': 0.6893576222435283} |
| 0.0002        | 1789.0 | 119863 | 4.1292          | {'f1': 0.7982289690069577} | {'accuracy': 0.6941514860977949} |
| 0.0002        | 1790.0 | 119930 | 4.0913          | {'f1': 0.7909967845659164} | {'accuracy': 0.6883988494726749} |
| 0.0002        | 1791.0 | 119997 | 4.1792          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0018        | 1792.0 | 120064 | 4.2023          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0018        | 1793.0 | 120131 | 4.2438          | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
| 0.0018        | 1794.0 | 120198 | 4.2599          | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
| 0.0018        | 1795.0 | 120265 | 4.2809          | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
| 0.0018        | 1796.0 | 120332 | 4.2980          | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
| 0.0018        | 1797.0 | 120399 | 4.3114          | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
| 0.0018        | 1798.0 | 120466 | 4.3222          | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1799.0 | 120533 | 4.3352          | {'f1': 0.799492385786802}  | {'accuracy': 0.6970278044103547} |
| 0.0           | 1800.0 | 120600 | 4.3523          | {'f1': 0.799492385786802}  | {'accuracy': 0.6970278044103547} |
| 0.0           | 1801.0 | 120667 | 4.3652          | {'f1': 0.799492385786802}  | {'accuracy': 0.6970278044103547} |
| 0.0           | 1802.0 | 120734 | 4.3769          | {'f1': 0.799492385786802}  | {'accuracy': 0.6970278044103547} |
| 0.0           | 1803.0 | 120801 | 4.3956          | {'f1': 0.7989854153455929} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1804.0 | 120868 | 4.4360          | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1805.0 | 120935 | 4.4495          | {'f1': 0.8029465930018418} | {'accuracy': 0.6922339405560882} |
| 0.0007        | 1806.0 | 121002 | 4.4636          | {'f1': 0.8029465930018418} | {'accuracy': 0.6922339405560882} |
| 0.0007        | 1807.0 | 121069 | 4.4814          | {'f1': 0.8022113022113021} | {'accuracy': 0.6912751677852349} |
| 0.0007        | 1808.0 | 121136 | 4.4970          | {'f1': 0.8019680196801968} | {'accuracy': 0.6912751677852349} |
| 0.0007        | 1809.0 | 121203 | 4.5065          | {'f1': 0.8012307692307693} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1810.0 | 121270 | 4.5155          | {'f1': 0.8012307692307693} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1811.0 | 121337 | 4.5517          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1812.0 | 121404 | 4.5595          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0007        | 1813.0 | 121471 | 4.5664          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0           | 1814.0 | 121538 | 4.5899          | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
| 0.0           | 1815.0 | 121605 | 4.6015          | {'f1': 0.8019801980198019} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1816.0 | 121672 | 4.6841          | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1817.0 | 121739 | 4.5837          | {'f1': 0.8022113022113021} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1818.0 | 121806 | 4.3776          | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1819.0 | 121873 | 4.3865          | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1820.0 | 121940 | 4.4578          | {'f1': 0.8022457891453525} | {'accuracy': 0.6960690316395014} |
| 0.001         | 1821.0 | 122007 | 4.4757          | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
| 0.001         | 1822.0 | 122074 | 4.4815          | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
| 0.001         | 1823.0 | 122141 | 4.6769          | {'f1': 0.8038858530661809} | {'accuracy': 0.6903163950143816} |
| 0.001         | 1824.0 | 122208 | 4.7471          | {'f1': 0.8041112454655381} | {'accuracy': 0.6893576222435283} |
| 0.001         | 1825.0 | 122275 | 4.7527          | {'f1': 0.8045977011494253} | {'accuracy': 0.6903163950143816} |
| 0.001         | 1826.0 | 122342 | 4.7562          | {'f1': 0.8050847457627118} | {'accuracy': 0.6912751677852349} |
| 0.001         | 1827.0 | 122409 | 4.7601          | {'f1': 0.806060606060606}  | {'accuracy': 0.6931927133269415} |
| 0.001         | 1828.0 | 122476 | 4.7697          | {'f1': 0.806060606060606}  | {'accuracy': 0.6931927133269415} |
| 0.0           | 1829.0 | 122543 | 4.6794          | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1830.0 | 122610 | 4.7006          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1831.0 | 122677 | 4.7243          | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1832.0 | 122744 | 4.7349          | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1833.0 | 122811 | 4.7697          | {'f1': 0.798234552332913}  | {'accuracy': 0.6931927133269415} |
| 0.0           | 1834.0 | 122878 | 4.7869          | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
| 0.0           | 1835.0 | 122945 | 4.7903          | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
| 0.0006        | 1836.0 | 123012 | 4.8172          | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
| 0.0006        | 1837.0 | 123079 | 4.8236          | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1838.0 | 123146 | 4.8272          | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1839.0 | 123213 | 4.8303          | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1840.0 | 123280 | 4.8604          | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
| 0.0006        | 1841.0 | 123347 | 4.7601          | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
| 0.0006        | 1842.0 | 123414 | 4.6926          | {'f1': 0.7989821882951653} | {'accuracy': 0.6970278044103547} |
| 0.0006        | 1843.0 | 123481 | 4.7036          | {'f1': 0.7992376111817027} | {'accuracy': 0.6970278044103547} |
| 0.0006        | 1844.0 | 123548 | 4.7190          | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
| 0.0006        | 1845.0 | 123615 | 4.7204          | {'f1': 0.7982289690069577} | {'accuracy': 0.6941514860977949} |
| 0.0006        | 1846.0 | 123682 | 4.8204          | {'f1': 0.8017031630170317} | {'accuracy': 0.6874400767018217} |
| 0.0006        | 1847.0 | 123749 | 4.8245          | {'f1': 0.8017031630170317} | {'accuracy': 0.6874400767018217} |
| 0.0006        | 1848.0 | 123816 | 4.8301          | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
| 0.0006        | 1849.0 | 123883 | 4.8336          | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
| 0.0006        | 1850.0 | 123950 | 4.7868          | {'f1': 0.798261949099938}  | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1851.0 | 124017 | 4.7720          | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1852.0 | 124084 | 4.7746          | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1853.0 | 124151 | 4.7768          | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
| 0.0006        | 1854.0 | 124218 | 4.6521          | {'f1': 0.7944162436548224} | {'accuracy': 0.6893576222435283} |
| 0.0006        | 1855.0 | 124285 | 4.5963          | {'f1': 0.7931034482758621} | {'accuracy': 0.6893576222435283} |
| 0.0006        | 1856.0 | 124352 | 4.5755          | {'f1': 0.8017241379310345} | {'accuracy': 0.6912751677852349} |
| 0.0006        | 1857.0 | 124419 | 4.5805          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0006        | 1858.0 | 124486 | 4.5869          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0018        | 1859.0 | 124553 | 4.5948          | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
| 0.0018        | 1860.0 | 124620 | 4.5946          | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
| 0.0018        | 1861.0 | 124687 | 4.5962          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1862.0 | 124754 | 4.6003          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1863.0 | 124821 | 4.6047          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1864.0 | 124888 | 4.6092          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0018        | 1865.0 | 124955 | 4.6142          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1866.0 | 125022 | 4.6254          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1867.0 | 125089 | 4.6366          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1868.0 | 125156 | 4.6408          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1869.0 | 125223 | 4.6449          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1870.0 | 125290 | 4.6498          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1871.0 | 125357 | 4.6553          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1872.0 | 125424 | 4.6598          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0001        | 1873.0 | 125491 | 4.6642          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1874.0 | 125558 | 4.6686          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1875.0 | 125625 | 4.6729          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1876.0 | 125692 | 4.6783          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1877.0 | 125759 | 4.6849          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1878.0 | 125826 | 4.6888          | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1879.0 | 125893 | 4.6877          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1880.0 | 125960 | 4.6872          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1881.0 | 126027 | 4.6923          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1882.0 | 126094 | 4.6982          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1883.0 | 126161 | 4.7022          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1884.0 | 126228 | 4.7074          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1885.0 | 126295 | 4.7128          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1886.0 | 126362 | 4.7175          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1887.0 | 126429 | 4.7244          | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
| 0.0           | 1888.0 | 126496 | 4.7505          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1889.0 | 126563 | 4.7559          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1890.0 | 126630 | 4.7650          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1891.0 | 126697 | 4.7739          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1892.0 | 126764 | 4.7773          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1893.0 | 126831 | 4.7800          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1894.0 | 126898 | 4.7842          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1895.0 | 126965 | 4.7866          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1896.0 | 127032 | 4.7890          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1897.0 | 127099 | 4.8025          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1898.0 | 127166 | 4.8056          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1899.0 | 127233 | 4.8082          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1900.0 | 127300 | 4.8109          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1901.0 | 127367 | 4.8284          | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1902.0 | 127434 | 4.8315          | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
| 0.0011        | 1903.0 | 127501 | 4.6853          | {'f1': 0.7997520148791073} | {'accuracy': 0.6903163950143816} |
| 0.0011        | 1904.0 | 127568 | 4.7537          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1905.0 | 127635 | 4.7589          | {'f1': 0.8017241379310345} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1906.0 | 127702 | 4.7685          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1907.0 | 127769 | 4.7712          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1908.0 | 127836 | 4.7751          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1909.0 | 127903 | 4.7726          | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
| 0.0011        | 1910.0 | 127970 | 4.7092          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1911.0 | 128037 | 4.7111          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1912.0 | 128104 | 4.7130          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1913.0 | 128171 | 4.7146          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1914.0 | 128238 | 4.7179          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1915.0 | 128305 | 4.2913          | {'f1': 0.8017565872020074} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1916.0 | 128372 | 4.2390          | {'f1': 0.8022598870056498} | {'accuracy': 0.697986577181208}  |
| 0.0           | 1917.0 | 128439 | 4.2404          | {'f1': 0.8027638190954774} | {'accuracy': 0.6989453499520614} |
| 0.0021        | 1918.0 | 128506 | 4.2473          | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
| 0.0021        | 1919.0 | 128573 | 4.2483          | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
| 0.0021        | 1920.0 | 128640 | 4.2498          | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
| 0.0021        | 1921.0 | 128707 | 4.2520          | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
| 0.0021        | 1922.0 | 128774 | 4.2534          | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
| 0.0021        | 1923.0 | 128841 | 4.2570          | {'f1': 0.7953964194373401} | {'accuracy': 0.6931927133269415} |
| 0.0021        | 1924.0 | 128908 | 4.2587          | {'f1': 0.7953964194373401} | {'accuracy': 0.6931927133269415} |
| 0.0021        | 1925.0 | 128975 | 4.2603          | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1926.0 | 129042 | 4.2616          | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1927.0 | 129109 | 4.2935          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1928.0 | 129176 | 4.3010          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1929.0 | 129243 | 4.3028          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1930.0 | 129310 | 4.3041          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1931.0 | 129377 | 4.3057          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1932.0 | 129444 | 4.3070          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1933.0 | 129511 | 4.3084          | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1934.0 | 129578 | 4.3506          | {'f1': 0.8014888337468983} | {'accuracy': 0.6931927133269415} |
| 0.0           | 1935.0 | 129645 | 4.3537          | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1936.0 | 129712 | 4.3551          | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1937.0 | 129779 | 4.3653          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1938.0 | 129846 | 4.3667          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1939.0 | 129913 | 4.3682          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1940.0 | 129980 | 4.3697          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1941.0 | 130047 | 4.3712          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1942.0 | 130114 | 4.3729          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1943.0 | 130181 | 4.3744          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1944.0 | 130248 | 4.3757          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1945.0 | 130315 | 4.3771          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1946.0 | 130382 | 4.3786          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0001        | 1947.0 | 130449 | 4.3801          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1948.0 | 130516 | 4.3816          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1949.0 | 130583 | 4.3831          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0           | 1950.0 | 130650 | 4.3859          | {'f1': 0.8012383900928793} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1951.0 | 130717 | 4.3872          | {'f1': 0.8012383900928793} | {'accuracy': 0.6922339405560882} |
| 0.0           | 1952.0 | 130784 | 4.3942          | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1953.0 | 130851 | 4.4247          | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1954.0 | 130918 | 4.4262          | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
| 0.0           | 1955.0 | 130985 | 4.4287          | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1956.0 | 131052 | 4.4302          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1957.0 | 131119 | 4.4316          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1958.0 | 131186 | 4.4339          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1959.0 | 131253 | 4.4352          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1960.0 | 131320 | 4.4367          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1961.0 | 131387 | 4.4382          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1962.0 | 131454 | 4.4398          | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1963.0 | 131521 | 4.4283          | {'f1': 0.8034504004929144} | {'accuracy': 0.6941514860977949} |
| 0.0           | 1964.0 | 131588 | 4.3914          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1965.0 | 131655 | 4.3890          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1966.0 | 131722 | 4.3900          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1967.0 | 131789 | 4.3909          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1968.0 | 131856 | 4.3922          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1969.0 | 131923 | 4.3933          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1970.0 | 131990 | 4.3942          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1971.0 | 132057 | 4.3952          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1972.0 | 132124 | 4.3966          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1973.0 | 132191 | 4.3978          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1974.0 | 132258 | 4.3988          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1975.0 | 132325 | 4.3998          | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
| 0.0003        | 1976.0 | 132392 | 4.4105          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0003        | 1977.0 | 132459 | 4.4185          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1978.0 | 132526 | 4.4202          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1979.0 | 132593 | 4.4210          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1980.0 | 132660 | 4.4217          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1981.0 | 132727 | 4.4224          | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
| 0.0           | 1982.0 | 132794 | 4.4028          | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1983.0 | 132861 | 4.4034          | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1984.0 | 132928 | 4.4041          | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
| 0.0           | 1985.0 | 132995 | 4.4046          | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
| 0.0003        | 1986.0 | 133062 | 4.3821          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0003        | 1987.0 | 133129 | 4.3550          | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
| 0.0003        | 1988.0 | 133196 | 4.3580          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0003        | 1989.0 | 133263 | 4.3584          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0003        | 1990.0 | 133330 | 4.3589          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0003        | 1991.0 | 133397 | 4.3592          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0003        | 1992.0 | 133464 | 4.3594          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1993.0 | 133531 | 4.3597          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1994.0 | 133598 | 4.3599          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1995.0 | 133665 | 4.3601          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1996.0 | 133732 | 4.3603          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1997.0 | 133799 | 4.3604          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1998.0 | 133866 | 4.3605          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0015        | 1999.0 | 133933 | 4.3588          | {'f1': 0.8042394014962594} | {'accuracy': 0.6989453499520614} |
| 0.0           | 2000.0 | 134000 | 4.3588          | {'f1': 0.8042394014962594} | {'accuracy': 0.6989453499520614} |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
