(y_true, y_predict)
| 31 | :return: |
| 32 | """ |
| 33 | def accuracy_score(y_true, y_predict): # 计算准确率 |
| 34 | |
| 35 | if(isReg) : |
| 36 | return np.sqrt(np.sum(np.power(y_true - y_predict, 2.0)) / len(y_true)) |
| 37 | else : |
| 38 | return np.sum(y_true == y_predict) / len(y_true) |
| 39 | all = np.random.permutation(len(X)) #打乱索引 |
| 40 | size = len(X) // n |
| 41 | # 根据n把数据分成n部分 |