Decision-Tree-Algorithm/untitled.txt at master · darosantos/Decision-Tree-Algorithm · GitHub

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#column_frequency = []
                #for unique_value in column_unique_value:
                #    mask_uv = column + ' == ' + '"' + unique_value + '"'
                #    df_uv = df_work.query(mask_uv)
                #    total_instances = df_uv[column].count()
                #    mask_target = self.__column_label_class + ' == ' + '"' + self.__target_class + '"'
                #    class_positive = df_uv.query(mask_target)[column].count()
                #    class_negative = total_instances - class_positive
                #    column_frequency.append({'value': unique_value,
                #                             'class_positive': class_positive,
                #                             'class_negative': class_negative
                #                            })