write a program in python 2fr to demonstrate naive bayes classification

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29 Oct 2016
1>>> from sklearn.naive_bayes import GaussianNB
2>>> from sklearn.naive_bayes import MultinomialNB
3>>> from sklearn import datasets
4>>> from sklearn.metrics import confusion_matrix
5>>> from sklearn.model_selection import train_test_split
6
7>>> iris = datasets.load_iris()
8>>> X = iris.data
9>>> y = iris.target
10
11# Split the data into a training set and a test set
12>>> X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)
13>>> gnb = GaussianNB()
14>>> mnb = MultinomialNB()
15
16>>> y_pred_gnb = gnb.fit(X_train, y_train).predict(X_test)
17>>> cnf_matrix_gnb = confusion_matrix(y_test, y_pred_gnb)
18
19>>> print(cnf_matrix_gnb)
20[[16 0 0]
21 [ 0 18 0]
22 [ 0 0 11]]
23
24>>> y_pred_mnb = mnb.fit(X_train, y_train).predict(X_test)
25>>> cnf_matrix_mnb = confusion_matrix(y_test, y_pred_mnb)
26
27>>> print(cnf_matrix_mnb)
28[[16 0 0]
29 [ 0 0 18]
30 [ 0 0 11]]Copy
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