results_columns = ['model-name', 'train-dataset-noise', 'test-dataset-noise', 'precision(yes)', 'precision(no)',
                   'precision(macro-avg)', 'precision(weighted-avg)', 'recall(yes)', 'recall(no)', 'recall(macro-avg)',
                   'recall(weighted-avg)', 'f1-score(yes)', 'f1-score(no)', 'f1-score(accuracy)', 'f1-score(macro-avg)',
                   'f1-score(weighted-avg)', 'TP', 'FP', 'FN', 'TN']

NOISE_LEVELS = [0, .1, .2, .3, .4, .5, .6, .7, .8, .9]
