categorical data python functions

def create_model(df):
    y=df.pop('class')
    X_train, X_test, y_train, y_test = train_test_split(df, y, test_size=0.1, random_state=100)

    clf = RandomForestClassifier()
    clf = clf.fit(X_train, y_train)

    predictions=clf.predict(X_test)
    print(classification_report(predictions,y_test))