Pappu19

Decision Tree

Sep 17th, 2021
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  1. import pandas as pd
  2.  
  3.  
  4. df = pd.read_csv('diabetes.csv')
  5.  
  6. feature_col = ["Pregnancies","Glucose","BloodPressure","SkinThickness","Insulin","BMI","DiabetesPedigreeFunction","Age"];
  7.  
  8.  
  9. x = df[feature_col]
  10. y = df.Outcome
  11.  
  12. from sklearn.tree import DecisionTreeClassifier
  13. model =  DecisionTreeClassifier()
  14. model.fit(x,y)
  15. result = model.predict([[1,85,66,29,0,26.6,0.351,31]])
  16. print(result)
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