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osanseviero
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tips

Scikit-learn
Model card Files
xet
 Community
How to use from the
Use from the
Scikit-learn library
from huggingface_hub import hf_hub_download
import joblib
model = joblib.load(
	hf_hub_download("osanseviero/tips", "sklearn_model.joblib")
)
# only load pickle files from sources you trust
# read more about it here https://skops.readthedocs.io/en/stable/persistence.html

Baseline Model trained on tips to predict sex

Metrics of the best model:

accuracy 0.647364

average_precision 0.481257

roc_auc 0.608805

recall_macro 0.588751

f1_macro 0.588435

Name: MultinomialNB(), dtype: float64

See model plot below:

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=            continuous  dirty_float  low_card_int  ...   date  free_string  useless

total_bill        True        False         False  ...  False        False    False
tip               True        False         False  ...  False        False    False
smoker           False        False         False  ...  False        False    False
day              False        False         False  ...  False        False    False
time             False        False         False  ...  False        False    False
size             False        False          True  ...  False        False    False[6 rows x 7 columns])),('pipeline',Pipeline(steps=[('minmaxscaler', MinMaxScaler()),('multinomialnb', MultinomialNB())]))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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