def testsubmission(self):
train = get_spam_train_data()
valid = get_spam_valid_data()
preds = submission(train, valid)
acc = accuracy(valid, preds)
print
print("Your current accuracy is:", acc)
self.assertGreater(acc, .75)
def testsubmission(self):
train = get_spam_train_data()
valid = get_spam_valid_data()
preds = submission(train, valid)
acc = accuracy(valid, preds)
print
print "Your current accuracy is:", acc
self.assertGreater(acc, .75)
def testsubmission(self):
if 1 < len(sys.argv):
train = load_model(sys.argv[1])
else:
train = get_spam_train_data()
valid = get_spam_valid_data()
preds = submission(train, valid)
acc = accuracy(valid, preds)
print
print "Your current accuracy is:", acc
self.assertGreater(acc, .75)
def testsubmission(self):
train = get_spam_train_data()
print "training data all loaded"
valid = get_spam_valid_data()
print "validation data all loaded"
preds = submission(train, valid)
print "predictions all complete"
acc = accuracy(valid, preds)
print
print "Your current accuracy is:", acc
self.assertGreater(acc, .75)