run_model_sort_dataframe.py

# Run the model evaluator function to find the best models 
# with between 1 and 13 features selecting from the features list
model_df = model_evaluator(X, y, features, 1, len(features))

# Rearrange columns in the data frame
model_df = model_df[['features', 'model', 'no_features', 'intercept', 'coeff', 'R2', 'CV_R2']]

# Sort the resulting data frame to see the best feature sets
model_df.sort_values(by = 'CV_R2', ascending = False).head()