Implement of Desision Tree algorithm (ID3) (Python)

import pandas as pd

from sklearn.tree import DecisionTreeClassifier

df=pd.read_csv('/home/aiktc/Desktop/exp2.csv')

print(df)

tree=DecisionTreeClassifier(criterion='entropy')

tree.fit(df[['wind','Humidity']],df.temperature)

print("prediction for HIGH wind and HIGH Humidity",tree.predict([[1,1]]))

Output:

/ML$ python decision.py

  temperature  wind  Humidity

0         hot     0         0

1         hot     1         1

2        Mild     0         0

3        Mild     1         1

4        Cool     0         0

5        Mild     1         0

6        Mild     0         1

7         hot     1         0

8        Mild     1         0

9        cool     1         0

prediction for HIGH wind and HIGH humidity ['Mild']