machine learning note 1

download Anaconda

1. use sklearn to predict

from sklearn import tree

features = [[140,1],[130,1],[150,0],[170,0]]
labels = [0,0,1,1]

clf = tree.DecisionTreeClassifier()
clf = clf.fit(features, labels)

print clf.predict([[150,0]])