plot_best_worst_per_point

mastml.plot_helper.plot_best_worst_per_point(y_true, y_pred_list, savepath, metrics_dict, avg_stats, title='best worst per point', label='target_value')

Method to create a parity plot (predicted vs. true values) of the set of best and worst CV scores for each

individual data point.

Args:

y_true: (numpy array), array of true y data

y_pred_list: (list), list of numpy arrays containing predicted y data for each CV split

savepath: (str), path to save plots to

metrics_dict: (dict), dict of scikit-learn metric objects to calculate score of predicted vs. true values

avg_stats: (dict), dict of calculated average metrics over all CV splits

title: (str), title of the best_worst_per_point plot

label: (str), label used for axis labeling

Returns:

None