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Debmalya commited on
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  1. app.py +0 -2
app.py CHANGED
@@ -10,8 +10,6 @@ healthcare_stroke_data['gender'] = encoder.fit_transform(healthcare_stroke_data[
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  encoder= ce.OrdinalEncoder(cols=['work_type'],return_df=True, mapping=[{'col':'work_type', 'mapping':{0: 1, 1: 2, 'children': 3, '2': 4, 'Never_worked': 5}}])
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  healthcare_stroke_data['work_type'] = encoder.fit_transform(healthcare_stroke_data['work_type'])
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- exp_clf101 = setup(data = healthcare_stroke_data, target = 'stroke', session_id=123)
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-
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  best = compare_models(sort = 'AUC', n_select = 15)
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  compare_model_results = pull()
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  encoder= ce.OrdinalEncoder(cols=['work_type'],return_df=True, mapping=[{'col':'work_type', 'mapping':{0: 1, 1: 2, 'children': 3, '2': 4, 'Never_worked': 5}}])
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  healthcare_stroke_data['work_type'] = encoder.fit_transform(healthcare_stroke_data['work_type'])
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  best = compare_models(sort = 'AUC', n_select = 15)
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  compare_model_results = pull()
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