def _print_rule()

in diagnoser.py [0:0]

• 22 lines of code
• 1 McCabe index (conditional complexity)

    def _print_rule(self, rule, df: pd.DataFrame, target):
        target_name, target_value = target
        rule_stat = self._rule_stats(rule, df, target)
        stats = ConfusionMatrix(df, target)

        print(bold("Subgroup: {}".format(str(rule))))

        overall_coverage = stats.num_covered(rule)

        print("% of subgroup in population (Full Dataset):\t{}% ({} rows)".format(
            percent_format(rule_stat['rule_coverage']),
            overall_coverage)
        )

        print("Precision: P({}={} | {}) = {}%".format(
            target_name,
            target_value,
            str(rule),
            percent_format(rule_stat['precision'])
        ))

        print("Recall: P({} | {}={}) = {}%".format(
            str(rule),
            target_name,
            target_value,
            percent_format(rule_stat['recall'])
        ))