DaniFrame commited on
Commit
400be4d
·
verified ·
1 Parent(s): 8a8559a

Upload extra parameters and metrics

Browse files
infrared_xgboost_seed_478/extra_params.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "Lpls_beta": 5.346922473411571
3
+ }
infrared_xgboost_seed_478/feature_importance.csv ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,L1s_importance,L1_importance,L2s_importance,L2_importance,Lpls_importance,Lpl_importance
2
+ T_atm,0.007834245,0.007697345,0.014686426,0.013012292,0.0041076434,0.004564301
3
+ Humidity,0.008182435,0.008537306,0.014659324,0.0137092965,0.0073714876,0.010501726
4
+ Distance,0.008612214,0.004999616,0.008149464,0.006306436,0.0062501044,0.008949778
5
+ T_offset1,0.013653741,0.019250136,0.015601929,0.009508357,0.013229798,0.017899057
6
+ Max1R13_1,0.02167021,0.015016482,0.026467532,0.021841537,0.010215388,0.009529139
7
+ Max1L13_1,0.028173627,0.027884455,0.07123038,0.059559442,0.016963203,0.00969425
8
+ aveAllR13_1,0.0113086095,0.01522,0.010030059,0.012782336,0.009813677,0.015183036
9
+ aveAllL13_1,0.022597516,0.028209606,0.01664619,0.021535993,0.026810605,0.01310716
10
+ T_RC1,0.010227641,0.02177722,0.025411189,0.030038282,0.018474225,0.046364974
11
+ T_RC_Dry1,0.03332193,0.024190653,0.025795748,0.0005681846,0.018792596,0.024481732
12
+ T_RC_Wet1,0.02155533,0.015239491,0.008092752,0.0028348588,0.02723383,0.024271555
13
+ T_RC_Max1,0.0,0.016492318,0.0,0.0,0.015765209,0.019239672
14
+ T_LC1,0.02264755,0.014931936,0.05682195,0.00021137111,0.024953773,0.020804271
15
+ T_LC_Dry1,0.04373944,0.024812775,0.047364265,0.011828162,0.051813506,0.04482852
16
+ T_LC_Wet1,0.016557647,0.015814913,0.0050204056,0.036658954,0.015793318,0.020872075
17
+ T_LC_Max1,0.028848255,0.011932427,0.0,0.029702542,0.03747603,0.037137702
18
+ RCC1,0.02929939,0.03496034,0.027395591,0.025086759,0.015217839,0.03288492
19
+ LCC1,0.031537596,0.017335052,0.057235524,0.010264915,0.033410635,0.04700078
20
+ canthiMax1,0.038740665,0.025586693,0.012619151,0.0077670305,0.06969079,0.013287867
21
+ canthi4Max1,0.045650244,0.015102979,0.0,0.0,0.08813483,0.0057334276
22
+ T_FHCC1,0.041127983,0.047508992,0.06878627,0.063997485,0.02490356,0.028086446
23
+ T_FHRC1,0.0438991,0.029046454,0.04068817,0.07879469,0.036645193,0.01972449
24
+ T_FHLC1,0.027408745,0.07736658,0.024038551,0.11656244,0.026237262,0.067489654
25
+ T_FHBC1,0.053748995,0.033066507,0.08368687,0.014344782,0.038654897,0.040820967
26
+ T_FHTC1,0.022861606,0.056115065,0.014307262,0.09845865,0.029560525,0.030653782
27
+ T_FH_Max1,0.023253597,0.05749493,0.0,0.10107426,0.0215739,0.014412687
28
+ T_FHC_Max1,0.03413891,0.06998496,0.06921555,0.0640511,0.041232157,0.047769573
29
+ T_Max1,0.0449805,0.031812336,0.10755261,0.005765908,0.041375652,0.02470482
30
+ T_OR1,0.04472494,0.05672442,0.08475286,0.039208125,0.029100105,0.047397733
31
+ T_OR_Max1,0.023374848,0.04151828,0.019447206,0.015147021,0.024162436,0.080396436
32
+ Gender_Female,0.017140567,0.060783226,0.012237118,0.0049483264,0.008709849,0.06026557
33
+ Gender_Male,0.01812435,0.0018499868,0.0022939472,0.00032725267,0.0,0.0086653605
34
+ AgeBracket1,0.013807043,0.011329458,0.01930247,0.027130673,0.02630423,0.0031953563
35
+ AgeBracket2,0.015112668,0.011804866,0.0,0.00429924,0.023472132,0.015454389
36
+ AgeBracket3,0.0,0.0,0.0,0.0,0.0,0.0
37
+ AgeBracket4,0.0,0.0,0.0,0.0,0.0,0.0
38
+ AgeBracket5,0.0,0.0,0.0,0.0,0.0,0.0
39
+ AgeBracket6,0.0,0.0,0.0,0.0,0.0,0.0
40
+ AgeBracket7,0.0,0.0,0.0,0.0,0.0,0.0
41
+ EthnicityAI_AN,0.0,0.0,0.0,0.0,0.0,0.0
42
+ Ethnicity_Asian,0.05128187,0.017117556,0.0,0.017259503,0.023137506,0.014188739
43
+ EthnicityBl_AA,0.02454072,0.010058495,0.0,0.02238441,0.06533161,0.022824619
44
+ EthnicityHs_Lat,0.0033027655,0.00392281,0.0,0.0,0.0,0.0
45
+ EthnicityMR,0.0,0.0033830833,0.0,0.0,0.0,0.026153566
46
+ Ethnicity_White,0.050724525,0.006207394,0.0036484723,0.0,0.024543352,0.012691294
47
+ cpu_training_time,7.930801e-05,0.00032060928,0.0002303849,0.0006643888,0.00014456012,0.0006115474
48
+ cpu_prediction_time,0.00012269351,0.00058294256,0.00030790715,0.00058789866,0.00014304422,0.00056619535
49
+ memory_usage,6.759134e-05,0.00035121033,0.00024382153,0.00066928193,0.000109494824,0.00042443437
50
+ max_depth,9.865203e-05,0.00026391106,0.00016791456,0.00032021743,0.0001433683,0.0003522119
51
+ learning_rate,0.00025779117,0.0013668059,0.002164522,0.0034387445,0.00025067286,0.0008146988
52
+ n_estimators,0.00030359795,0.00111822,0.0017324059,0.002368263,0.00029761196,0.0007042704
53
+ model_CatBoostRegressor,0.00023532756,0.00071621937,0.000277155,0.0005321058,0.0004291674,0.0011346316
54
+ model_DecisionTreeRegressor,0.00010095932,0.00028316115,2.029839e-05,0.0014590162,0.00056682044,0.00030799123
55
+ model_LGBMRegressor,0.00053897477,0.0009454324,0.0011110293,0.001140139,0.00087260036,0.0019953686
56
+ model_RandomForestRegressor,0.00016839973,0.0011868089,0.00018152483,0.0013591348,0.00015542695,0.000772167
57
+ model_XGBRegressor,0.00031473493,0.00077754003,0.00037780058,0.0004902339,0.0004243545,0.0010850163
infrared_xgboost_seed_478/metrics.json ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "L1s": {
3
+ "train": {
4
+ "RMSE": 0.2672551716660757,
5
+ "MAPE": 21056441703.586693,
6
+ "R2": 0.048317695116775194,
7
+ "Pearson": 0.7064804728135563,
8
+ "Spearman": 0.5368849041884625
9
+ },
10
+ "validation": {
11
+ "RMSE": 0.25386505117091474,
12
+ "MAPE": 37205077444.28552,
13
+ "R2": 0.00900626590826914,
14
+ "Pearson": 0.2187400096105629,
15
+ "Spearman": 0.2642592519144069
16
+ },
17
+ "test": {
18
+ "RMSE": 0.26781769641848185,
19
+ "MAPE": 22401445684.838455,
20
+ "R2": -0.07211732400765358,
21
+ "Pearson": 0.1390644148131111,
22
+ "Spearman": 0.008554982659342696
23
+ }
24
+ },
25
+ "L1": {
26
+ "train": {
27
+ "RMSE": 0.17578918122694917,
28
+ "MAPE": 234898295752.5604,
29
+ "R2": 0.06818823722613154,
30
+ "Pearson": 0.8395421459849612,
31
+ "Spearman": 0.6161616034234088
32
+ },
33
+ "validation": {
34
+ "RMSE": 0.151052120119233,
35
+ "MAPE": 239692229526.20575,
36
+ "R2": -0.008621638892329697,
37
+ "Pearson": -0.050836349668987243,
38
+ "Spearman": -0.03843062747309505
39
+ },
40
+ "test": {
41
+ "RMSE": 0.17704784881512825,
42
+ "MAPE": 194590581451.00583,
43
+ "R2": 0.004779615156771055,
44
+ "Pearson": 0.10060453122019634,
45
+ "Spearman": 0.231053724025749
46
+ }
47
+ },
48
+ "L2s": {
49
+ "train": {
50
+ "RMSE": 0.1712643016993939,
51
+ "MAPE": 6949059586.468157,
52
+ "R2": 0.07456902026126899,
53
+ "Pearson": 0.8795317504915198,
54
+ "Spearman": 0.5017534655076061
55
+ },
56
+ "validation": {
57
+ "RMSE": 0.12175034640533922,
58
+ "MAPE": 18809205352.17446,
59
+ "R2": -9.977948640571555e-05,
60
+ "Pearson": 0.11325893948772206,
61
+ "Spearman": 0.16358483030731952
62
+ },
63
+ "test": {
64
+ "RMSE": 0.15512757471880043,
65
+ "MAPE": 21919753014.2612,
66
+ "R2": -0.036894957173560394,
67
+ "Pearson": 0.20198098085406174,
68
+ "Spearman": 0.23427542321841718
69
+ }
70
+ },
71
+ "L2": {
72
+ "train": {
73
+ "RMSE": 0.1547614963675435,
74
+ "MAPE": 85867435490.30977,
75
+ "R2": 0.08056863031826467,
76
+ "Pearson": 0.9160750522209117,
77
+ "Spearman": 0.5081996531251041
78
+ },
79
+ "validation": {
80
+ "RMSE": 0.10398270839630801,
81
+ "MAPE": 104141132654.24904,
82
+ "R2": -0.008446117734339786,
83
+ "Pearson": 0.02747844253337299,
84
+ "Spearman": -0.07298955959453496
85
+ },
86
+ "test": {
87
+ "RMSE": 0.1375241689238638,
88
+ "MAPE": 86758780606.77943,
89
+ "R2": 0.01923256916859939,
90
+ "Pearson": 0.17561865046127623,
91
+ "Spearman": 0.047296810228086864
92
+ }
93
+ },
94
+ "Lpls": {
95
+ "train": {
96
+ "RMSE": 0.40465871786090984,
97
+ "MAPE": 78589275761.94371,
98
+ "R2": 0.3504136057346362,
99
+ "Pearson": 0.8614789776494227,
100
+ "Spearman": 0.8643743055646255
101
+ },
102
+ "validation": {
103
+ "RMSE": 0.505204236577431,
104
+ "MAPE": 116000057518.19147,
105
+ "R2": 0.03755439314688591,
106
+ "Pearson": 0.2025529822213304,
107
+ "Spearman": 0.20513513965642438
108
+ },
109
+ "test": {
110
+ "RMSE": 0.4898566791218801,
111
+ "MAPE": 141603378677.29898,
112
+ "R2": -0.037238682641550724,
113
+ "Pearson": 0.17974914603058118,
114
+ "Spearman": 0.21064688196126574
115
+ }
116
+ },
117
+ "Lpl": {
118
+ "train": {
119
+ "RMSE": 0.24926591602683765,
120
+ "MAPE": 488986133621.71436,
121
+ "R2": 0.10978397736177925,
122
+ "Pearson": 0.8070903009965964,
123
+ "Spearman": 0.7747959073647591
124
+ },
125
+ "validation": {
126
+ "RMSE": 0.2526696659458742,
127
+ "MAPE": 515250471219.3339,
128
+ "R2": -0.013553790390793408,
129
+ "Pearson": 0.0060014656184951935,
130
+ "Spearman": 0.0035901819774956513
131
+ },
132
+ "test": {
133
+ "RMSE": 0.2647038959971215,
134
+ "MAPE": 383903002492.6683,
135
+ "R2": 0.010665552677323054,
136
+ "Pearson": 0.14784903293895374,
137
+ "Spearman": 0.15684573175927666
138
+ }
139
+ }
140
+ }