def draw_function():
df = DecisionFunction()
#classifier = nbc.NaiveBayes()
classifier = qdc.QuadraticDiscriminantClassifier(2)
#classifier = knn.KNN(3)
datas = dataset.load ("../datasets/gaussian10k.data")
#classifier.load(datas[1000:])
classifier.load(datas[9000:])
classifier.learn()
df.draw_classifier(classifier)
def draw_all_roc():
roc = RocCurve()
datas = dataset.load ("../datasets/donut1k-20.data")
test_set = datas[0:900]
# classifier = qdc.QuadraticDiscriminantClassifier(2)
# classifier.load(datas[4500:])
# classifier.learn()
# roc.draw_classifier(classifier, test_set, "r-")
classifier = nbc.NaiveBayes()
classifier.load(datas[900:])
classifier.learn()
roc.draw_classifier(classifier, test_set, "r-")
# test_set = datas[0:900]
#
# classifier = knn.KNN(3)
# classifier.load(datas[900:])
# classifier.learn()
# roc.draw_classifier(classifier, test_set, "r-")
roc.show()
