
## Baseline Model trained on titanic_traink4m62li8 to apply classification on survived

**Metrics of the best model:**

accuracy             0.975294

average_precision    0.983664

roc_auc              0.987422

recall_macro         0.971786

f1_macro             0.973370

Name: MultinomialNB(), dtype: float64



**See model plot below:**

<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 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-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 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-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 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-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 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-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
home.dest          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-1" type="checkbox" ><label for="sk-estimator-id-1" 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  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
home.dest          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-2" type="checkbox" ><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
home.dest          False        False  ...         True    False[14 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" ><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">pipeline: Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())])</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-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">MinMaxScaler</label><div class="sk-toggleable__content"><pre>MinMaxScaler()</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-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleable__label sk-toggleable__label-arrow">MultinomialNB</label><div class="sk-toggleable__content"><pre>MultinomialNB()</pre></div></div></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 region:us
TAGS
#sklearn #tabular-classification #baseline-trainer #license-apache-2.0 #region-us 


## Baseline Model trained on titanic_traink4m62li8 to apply classification on survived

Metrics of the best model:

accuracy             0.975294

average_precision    0.983664

roc_auc              0.987422

recall_macro         0.971786

f1_macro             0.973370

Name: MultinomialNB(), dtype: float64



See model plot below:

<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 URL-toggleable {background-color: white;}#sk-container-id-1 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-1 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-1 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-item {position: relative;z-index: 1;}#sk-container-id-1 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 URL-item::before, #sk-container-id-1 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-1 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-1 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-1 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 URL-label-container {text-align: center;}#sk-container-id-1 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-1 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-1" type="checkbox" ><label for="sk-estimator-id-1" 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  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-2" type="checkbox" ><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" ><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">pipeline: Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())])</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-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">MinMaxScaler</label><div class="sk-toggleable__content"><pre>MinMaxScaler()</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-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleable__label sk-toggleable__label-arrow">MultinomialNB</label><div class="sk-toggleable__content"><pre>MultinomialNB()</pre></div></div></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 titanic_traink4m62li8 to apply classification on survived

Metrics of the best model:

accuracy             0.975294

average_precision    0.983664

roc_auc              0.987422

recall_macro         0.971786

f1_macro             0.973370

Name: MultinomialNB(), dtype: float64



See model plot below:

<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 URL-toggleable {background-color: white;}#sk-container-id-1 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-1 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-1 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-item {position: relative;z-index: 1;}#sk-container-id-1 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 URL-item::before, #sk-container-id-1 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-1 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-1 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-1 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 URL-label-container {text-align: center;}#sk-container-id-1 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-1 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-1" type="checkbox" ><label for="sk-estimator-id-1" 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  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-2" type="checkbox" ><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" ><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">pipeline: Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())])</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-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">MinMaxScaler</label><div class="sk-toggleable__content"><pre>MinMaxScaler()</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-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleable__label sk-toggleable__label-arrow">MultinomialNB</label><div class="sk-toggleable__content"><pre>MultinomialNB()</pre></div></div></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 #region-us 
 ## Baseline Model trained on titanic_traink4m62li8 to apply classification on survived

Metrics of the best model:

accuracy             0.975294

average_precision    0.983664

roc_auc              0.987422

recall_macro         0.971786

f1_macro             0.973370

Name: MultinomialNB(), dtype: float64



See model plot below:

<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 URL-toggleable {background-color: white;}#sk-container-id-1 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-1 URL-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 URL-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 URL-estimator:hover URL-toggleable__label-arrow:before {color: black;}#sk-container-id-1 URL-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 URL-toggleable__control:checked~URL-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 URL-estimator URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 URL-label URL-toggleable__control:checked~URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 URL-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 URL-label:hover URL-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 URL-item {position: relative;z-index: 1;}#sk-container-id-1 URL-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 URL-item::before, #sk-container-id-1 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-1 URL-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 URL-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 URL-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 URL-parallel-item:only-child::after {width: 0;}#sk-container-id-1 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-1 URL-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 URL-label-container {text-align: center;}#sk-container-id-1 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-1 URL-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;easypreprocessor&#x27;,EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-1" type="checkbox" ><label for="sk-estimator-id-1" 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  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])),(&#x27;pipeline&#x27;,Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())]))])</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-2" type="checkbox" ><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">EasyPreprocessor</label><div class="sk-toggleable__content"><pre>EasyPreprocessor(types=              continuous  dirty_float  ...  free_string  useless
passenger_id        True        False  ...        False    False
pclass             False        False  ...        False    False
name               False        False  ...         True    False
sex                False        False  ...        False    False
age                 True        False  ...        False    False
sibsp              False        False  ...        False    False
parch              False        False  ...        False    False
ticket             False        False  ...         True    False
fare                True        False  ...        False    False
cabin              False        False  ...         True    False
embarked           False        False  ...        False    False
boat               False        False  ...        False    False
body                True        False  ...        False    False
URL          False        False  ...         True    False[14 rows x 7 columns])</pre></div></div></div><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" ><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">pipeline: Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;minmaxscaler&#x27;, MinMaxScaler()),(&#x27;multinomialnb&#x27;, MultinomialNB())])</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-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">MinMaxScaler</label><div class="sk-toggleable__content"><pre>MinMaxScaler()</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-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleable__label sk-toggleable__label-arrow">MultinomialNB</label><div class="sk-toggleable__content"><pre>MultinomialNB()</pre></div></div></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
passage: TAGS
#sklearn #tabular-classification #baseline-trainer #license-apache-2.0 #region-us 
