algo loop

algoloop.py

# evaluate each model in turn
results = []
names = []
for name, model in models:
    model.fit(X_train, y_train)
    score = roc_auc_score(y_test, model.predict_proba(X_test)[:,1])
    results.append(score)
    names.append(name)
    msg = "%s: %f " % (name, score)
    print(msg)