
## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay

**Metrics of the best model:**

accuracy             0.612210

average_precision    0.405509

roc_auc              0.635865

recall_macro         0.594188

f1_macro             0.569725

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64



**See model plot below:**

<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-16" type="checkbox" ><label for="sk-estimator-id-16" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-17" type="checkbox" ><label for="sk-estimator-id-17" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-18" type="checkbox" ><label for="sk-estimator-id-18" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;, max_iter=1000)</pre></div></div></div></div></div></div></div>

**Disclaimer:** This model is trained with dabl library as a baseline, for better results, use [AutoTrain](https://huggingface.co/autotrain).

**Logs of training** including the models tried in the process can be found in logs.txt
{"license": "apache-2.0", "library_name": "sklearn", "tags": ["tabular-classification", "baseline-trainer"]}
sklearn tabular-classification baseline-trainer license:apache-2.0 has_space region:us
TAGS
#sklearn #tabular-classification #baseline-trainer #license-apache-2.0 #has_space #region-us 


## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay

Metrics of the best model:

accuracy             0.612210

average_precision    0.405509

roc_auc              0.635865

recall_macro         0.594188

f1_macro             0.569725

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64



See model plot below:

<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 URL-toggleable {background-color: white;}#sk-container-id-6 URL-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-6 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 URL-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 URL-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 URL-item {position: relative;z-index: 1;}#sk-container-id-6 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 URL-item::before, #sk-container-id-6 URL-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-6 URL-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 URL-label-container {text-align: center;}#sk-container-id-6 URL-container {/* jupyter's 'URL' sets '[hidden] { display: none; }' but URL set '[hidden] { display: none !important; }' so we also need the '!important' here to be able to override the default hidden behavior on the sphinx rendered URL. See: URL */display: inline-block !important;position: relative;}#sk-container-id-6 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with URL.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-16" type="checkbox" ><label for="sk-estimator-id-16" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-17" type="checkbox" ><label for="sk-estimator-id-17" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-18" type="checkbox" ><label for="sk-estimator-id-18" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;, max_iter=1000)</pre></div></div></div></div></div></div></div>

Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.

Logs of training including the models tried in the process can be found in URL
## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay

Metrics of the best model:

accuracy             0.612210

average_precision    0.405509

roc_auc              0.635865

recall_macro         0.594188

f1_macro             0.569725

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64



See model plot below:

<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 URL-toggleable {background-color: white;}#sk-container-id-6 URL-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-6 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 URL-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 URL-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 URL-item {position: relative;z-index: 1;}#sk-container-id-6 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 URL-item::before, #sk-container-id-6 URL-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-6 URL-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 URL-label-container {text-align: center;}#sk-container-id-6 URL-container {/* jupyter's 'URL' sets '[hidden] { display: none; }' but URL set '[hidden] { display: none !important; }' so we also need the '!important' here to be able to override the default hidden behavior on the sphinx rendered URL. See: URL */display: inline-block !important;position: relative;}#sk-container-id-6 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with URL.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-16" type="checkbox" ><label for="sk-estimator-id-16" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-17" type="checkbox" ><label for="sk-estimator-id-17" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-18" type="checkbox" ><label for="sk-estimator-id-18" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;, max_iter=1000)</pre></div></div></div></div></div></div></div>

Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.

Logs of training including the models tried in the process can be found in URL
TAGS
#sklearn #tabular-classification #baseline-trainer #license-apache-2.0 #has_space #region-us 
 ## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay

Metrics of the best model:

accuracy             0.612210

average_precision    0.405509

roc_auc              0.635865

recall_macro         0.594188

f1_macro             0.569725

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64



See model plot below:

<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 URL-toggleable {background-color: white;}#sk-container-id-6 URL-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-6 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 URL-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 URL-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 URL-item {position: relative;z-index: 1;}#sk-container-id-6 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 URL-item::before, #sk-container-id-6 URL-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-6 URL-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 URL-label-container {text-align: center;}#sk-container-id-6 URL-container {/* jupyter's 'URL' sets '[hidden] { display: none; }' but URL set '[hidden] { display: none !important; }' so we also need the '!important' here to be able to override the default hidden behavior on the sphinx rendered URL. See: URL */display: inline-block !important;position: relative;}#sk-container-id-6 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with URL.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-16" type="checkbox" ><label for="sk-estimator-id-16" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-17" type="checkbox" ><label for="sk-estimator-id-17" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-18" type="checkbox" ><label for="sk-estimator-id-18" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;, max_iter=1000)</pre></div></div></div></div></div></div></div>

Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.

Logs of training including the models tried in the process can be found in URL
TAGS
#sklearn #tabular-classification #baseline-trainer #license-apache-2.0 #has_space #region-us 
## Baseline Model trained on Airlinesuiztcxpg to apply classification on Delay

Metrics of the best model:

accuracy             0.612210

average_precision    0.405509

roc_auc              0.635865

recall_macro         0.594188

f1_macro             0.569725

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64



See model plot below:

<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 URL-toggleable {background-color: white;}#sk-container-id-6 URL-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-6 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 URL-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 URL-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 URL-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 URL-item {position: relative;z-index: 1;}#sk-container-id-6 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 URL-item::before, #sk-container-id-6 URL-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-6 URL-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 URL-label-container {text-align: center;}#sk-container-id-6 URL-container {/* jupyter's 'URL' sets '[hidden] { display: none; }' but URL set '[hidden] { display: none !important; }' so we also need the '!important' here to be able to override the default hidden behavior on the sphinx rendered URL. See: URL */display: inline-block !important;position: relative;}#sk-container-id-6 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with URL.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-16" type="checkbox" ><label for="sk-estimator-id-16" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])),(&#x27;logisticregression&#x27;,LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;,max_iter=1000))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-17" type="checkbox" ><label for="sk-estimator-id-17" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
Airline           False        False         False  ...  False        False    False
Flight             True        False         False  ...  False        False    False
AirportFrom       False        False         False  ...  False         True    False
AirportTo         False        False         False  ...  False         True    False
Time               True        False         False  ...  False        False    False
Length             True        False         False  ...  False        False    False[6 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-18" type="checkbox" ><label for="sk-estimator-id-18" class="sk-toggleable__label sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=0.1, class_weight=&#x27;balanced&#x27;, max_iter=1000)</pre></div></div></div></div></div></div></div>

Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.

Logs of training including the models tried in the process can be found in URL