import pandas as pd from sklearn.linear_model import Ridge, LinearRegression from sklearn.model_selection import cross_validate # run cross-validation, convert the results to a pandas dataframe for analysis # return_train_score=True means that the training score is also computed res = pd.DataFrame(cross_validate(LinearRegression(), X_train, y_train, return_train_score=True)) res