#!/usr/bin/env python
# coding: utf-8

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from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_breast_cancer

cancer = load_breast_cancer()

X_train, X_test, y_train, y_test = train_test_split(cancer.data, cancer.target, random_state=0)

forest = RandomForestClassifier(n_estimators=100, random_state=0)
forest.fit(X_train, y_train)

print('Accuracy on the training subset: {:.3f}'.format(forest.score(X_train, y_train)))
print('Accuracy on the test subset: {:.3f}'.format(forest.score(X_test, y_test)))


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