--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## Baseline Model trained on heart1ohr2x9e to apply classification on target **Metrics of the best model:** accuracy 0.885854 average_precision 0.949471 roc_auc 0.050633 recall_macro 0.885324 f1_macro 0.885610 Name: LogisticRegression(class_weight='balanced', max_iter=1000), dtype: float64 **See model plot below:**

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=          continuous  dirty_float  low_card_int  ...   date  free_string  useless
age            False        False         False  ...  False        False    False
sex            False        False         False  ...  False        False    False
cp             False        False         False  ...  False        False    False
trestbps        True        False         False  ...  False        False    False
chol            True        False         False  ...  False        False    False
fbs            False        False         False  ...  False        False    False
restecg        False        Fa......  False        False    False
thalach         True        False         False  ...  False        False    False
exang          False        False         False  ...  False        False    False
oldpeak         True        False         False  ...  False        False    False
slope          False        False         False  ...  False        False    False
ca             False        False         False  ...  False        False    False
thal           False        False         False  ...  False        False    False[13 rows x 7 columns])),('logisticregression',LogisticRegression(C=1, class_weight='balanced',max_iter=1000))])

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Pipeline

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=          continuous  dirty_float  low_card_int  ...   date  free_string  useless
age            False        False         False  ...  False        False    False
sex            False        False         False  ...  False        False    False
cp             False        False         False  ...  False        False    False
trestbps        True        False         False  ...  False        False    False
chol            True        False         False  ...  False        False    False
fbs            False        False         False  ...  False        False    False
restecg        False        Fa......  False        False    False
thalach         True        False         False  ...  False        False    False
exang          False        False         False  ...  False        False    False
oldpeak         True        False         False  ...  False        False    False
slope          False        False         False  ...  False        False    False
ca             False        False         False  ...  False        False    False
thal           False        False         False  ...  False        False    False[13 rows x 7 columns])),('logisticregression',LogisticRegression(C=1, class_weight='balanced',max_iter=1000))])

EasyPreprocessor

EasyPreprocessor(types=          continuous  dirty_float  low_card_int  ...   date  free_string  useless
age            False        False         False  ...  False        False    False
sex            False        False         False  ...  False        False    False
cp             False        False         False  ...  False        False    False
trestbps        True        False         False  ...  False        False    False
chol            True        False         False  ...  False        False    False
fbs            False        False         False  ...  False        False    False
restecg        False        False         False  ...  False        False    False
thalach         True        False         False  ...  False        False    False
exang          False        False         False  ...  False        False    False
oldpeak         True        False         False  ...  False        False    False
slope          False        False         False  ...  False        False    False
ca             False        False         False  ...  False        False    False
thal           False        False         False  ...  False        False    False[13 rows x 7 columns])

LogisticRegression

LogisticRegression(C=1, class_weight='balanced', max_iter=1000)

**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