#!/usr/bin/pyhton3 

# DecisionTreeClassifier using


# Python script using Scikit-learn  
# for Decision Tree Clasifier 
  
# Sample Decision Tree Classifier 
from sklearn import datasets 
from sklearn import metrics 
from sklearn.tree import DecisionTreeClassifier 
  
# load the iris datasets 
dataset = datasets.load_iris() 
  
# fit a CART model to the data 
model = DecisionTreeClassifier() 
model.fit(dataset.data, dataset.target) 
print(model) 
  
# make predictions 
expected = dataset.target 
predicted = model.predict(dataset.data) 
  
# summarize the fit of the model 
print(metrics.classification_report(expected, predicted)) 
print(metrics.confusion_matrix(expected, predicted)) 

