--- 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:** 
Pipeline(steps=[('easypreprocessor',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])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced', max_depth=5))])
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**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