def testBupaData(self):
X, Y = load_bupa_dataset()
classifier = AdaBoost(DecisionStump)
for t in [100,200,300,400,500]:
score = classifier.test_on_training_set(X,Y,t)
roc = pyroc.ROCData(zip(Y,score))
auc = roc.auc()
print auc
self.failUnless(auc > .9)
def testBupaData(self):
X, Y = load_bupa_dataset()
classifier = AdaBoost(DecisionStump)
for t in [100, 200, 300, 400, 500]:
score = classifier.test_on_training_set(X, Y, t)
roc = pyroc.ROCData(zip(Y, score))
auc = roc.auc()
print auc
self.failUnless(auc > .9)
