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target_column_value = test_set[self.__target_column].unique()[0]
        asserts = 0
        print(normalized)

        for row in range(len(test_set)):
            test_row = test_set.iloc(row, [self.__target_column])
            normalized_index = f'Pr [ {row + 1 } | {target_column_value} ]'
            normalized_row = normalized.loc(normalized_index, [self.__target_column])
            print(test_row)
            print()
            print(normalized_row)
            if test_row == normalized_row:
                asserts += 1

        result = asserts / len(test_set)
        print(result)

        results.append(result)