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titanicht_mp88q-Survived-classification

Tabular Classification
Scikit-learn
baseline-trainer
Model card Files Community
titanicht_mp88q-Survived-classification
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---
license: apache-2.0
library_name: sklearn
tags:
- tabular-classification
- baseline-trainer
---

## Baseline Model trained on titanicht_mp88q to apply classification on Survived

**Metrics of the best model:**

accuracy             0.803597

average_precision    0.801332

roc_auc              0.848079

recall_macro         0.795883

f1_macro             0.793746

Name: DecisionTreeClassifier(class_weight='balanced', max_depth=5), dtype: float64



**See model plot below:**

<style>#sk-container-id-7 {color: black;background-color: white;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 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-7 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 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-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 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-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 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-7 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-7" 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
Pclass         False        False         False  ...  False        False    False
Name           False        False         False  ...  False         True    False
Sex            False        False         False  ...  False        False    False
Age             True        False         False  ...  False        False    False
SibSp          False        False         False  ...  False        False    False
Parch          False        False         False  ...  False        False    False
Ticket         False        False         False  ...  False         True    False
Fare            True        False         False  ...  False        False    False
Cabin          False        False         False  ...  False         True    False
Embarked       False        False         False  ...  False        False    False[10 rows x 7 columns])),(&#x27;decisiontreeclassifier&#x27;,DecisionTreeClassifier(class_weight=&#x27;balanced&#x27;, max_depth=5))])</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-21" type="checkbox" ><label for="sk-estimator-id-21" 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
Pclass         False        False         False  ...  False        False    False
Name           False        False         False  ...  False         True    False
Sex            False        False         False  ...  False        False    False
Age             True        False         False  ...  False        False    False
SibSp          False        False         False  ...  False        False    False
Parch          False        False         False  ...  False        False    False
Ticket         False        False         False  ...  False         True    False
Fare            True        False         False  ...  False        False    False
Cabin          False        False         False  ...  False         True    False
Embarked       False        False         False  ...  False        False    False[10 rows x 7 columns])),(&#x27;decisiontreeclassifier&#x27;,DecisionTreeClassifier(class_weight=&#x27;balanced&#x27;, max_depth=5))])</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-22" type="checkbox" ><label for="sk-estimator-id-22" 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
Pclass         False        False         False  ...  False        False    False
Name           False        False         False  ...  False         True    False
Sex            False        False         False  ...  False        False    False
Age             True        False         False  ...  False        False    False
SibSp          False        False         False  ...  False        False    False
Parch          False        False         False  ...  False        False    False
Ticket         False        False         False  ...  False         True    False
Fare            True        False         False  ...  False        False    False
Cabin          False        False         False  ...  False         True    False
Embarked       False        False         False  ...  False        False    False[10 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-23" type="checkbox" ><label for="sk-estimator-id-23" class="sk-toggleable__label sk-toggleable__label-arrow">DecisionTreeClassifier</label><div class="sk-toggleable__content"><pre>DecisionTreeClassifier(class_weight=&#x27;balanced&#x27;, max_depth=5)</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