cross_validation.py

logreg = LogisticRegression()
logreg_cv = LogisticRegressionCV()
rf = RandomForestClassifier()
gboost = GradientBoostingClassifier()
svm = SVC(probability=True)
knn = KNeighborsClassifier()
dt = DecisionTreeClassifier()

models = [logreg, logreg_cv, rf, gboost, svm, knn, dt]

for model in models:
    print('Cross-validation of : {0}'.format(model.__class__))
    score = compute_score(clf=model, X=train_reduced, y=targets, scoring='accuracy')
    print('CV score = {0}'.format(score))
    print('****')