Create a Decision tree classifier in sci-kit learn using the Data given below,

 

Create a Decision tree classifier in sci-kit learn using the Data given below,features = [[2,100],[6,25],[1,300],[1,1000],[4,100],[10,100]]

Label = [1,2,1,1,2,2]

Note : 1 - Sports/Race Car and 2 - Family Car​

Create a Decision tree classifier in sci-kit learn using the Data given below,

 PROGRAM WITH SOURSES CODEE

import sklearn

from sklearn import tree

features = [[2,100],[6,25],[1,300],[1,1000],[4,100],[10,100]]

Label = [1,2,1,1,2,2]

clf  =  tree.DecisionTreeClassifier()

clf =  clf.fit(features, Label)

print (clf.predict([[4,140]]))