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)