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demo-stroke
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Debmalya commited on
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bb43eed
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1 Parent(s): a56759f

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  1. app.py +0 -1
app.py CHANGED
@@ -14,7 +14,6 @@ healthcare_stroke_data['work_type'] = encoder.fit_transform(healthcare_stroke_da
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  best = compare_models(sort = 'AUC', n_select = 15)
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  compare_model_results = pull()
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-
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  def predict(model, gender, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status):
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  df = pd.DataFrame.from_dict({'gender': [gender], 'age': [age], 'hypertension': [hypertension], 'heart_disease':[heart_disease], 'ever_married':[ever_married],
 
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  best = compare_models(sort = 'AUC', n_select = 15)
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  compare_model_results = pull()
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  def predict(model, gender, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status):
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  df = pd.DataFrame.from_dict({'gender': [gender], 'age': [age], 'hypertension': [hypertension], 'heart_disease':[heart_disease], 'ever_married':[ever_married],