def main():
iris = load_iris()
test_idx = [0, 50, 100]
# training Data
train_target = np.delete(iris.target, test_idx)
train_data = np.delete(iris.data, test_idx, axis=0)
# testing data
test_target = iris.target[test_idx]
test_data = iris.data[test_idx]
# Train Classifier
clf = tree.DecisionTreeClassifier()
clf = clf.fit(train_data, train_target)
print(clf.predict(test_data))
# Run main
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