def NBAccuracy(features_train, labels_train, features_test, labels_test): from sklearn.naive_bayes import GaussianNB clf = GaussianNB() pref = clf.predict(features_test) accuracy = return accuracy from class_vis import prettyPicture from prep_terrain_data import makeTerrainData from classify import NBAccuracy import matplotlib.pyplot as plt import numpy as np import pylab as pl features_train, labels_train, features_test, labels_test = makeTerrainData() def submitAccuracy(): accuracy = NBAccuracy(features_train, labels_train, features_test, labels_test) return accuracy
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