分类评估（没有预测概率无法话PR和ROC) :param y_predict: 预测结果 :param y_predict_rate: 模型得出的概率 :param y_test: 真实数据
(self, y_test, y_predict=None, y_predict_rate=None)
| 3 | |
| 4 | class clf_assessment: |
| 5 | def __init__(self, y_test, y_predict=None, y_predict_rate=None): |
| 6 | """ |
| 7 | 分类评估（没有预测概率无法话PR和ROC) |
| 8 | :param y_predict: 预测结果 |
| 9 | :param y_predict_rate: 模型得出的概率 |
| 10 | :param y_test: 真实数据 |
| 11 | """ |
| 12 | self.TP, self.FP, self.TN, self.FN = 0,0,0,0 |
| 13 | self.y_predict = y_predict |
| 14 | self.y_test = y_test |
| 15 | self.y_predict_rate = y_predict_rate |
| 16 | if y_predict_rate is None: |
| 17 | self.predict() |
| 18 | self.confuse_matrix() |
| 19 | |
| 20 | def predict(self, threshold=0.5): |
| 21 | # 根据阈值判断正类还是负类 |
nothing calls this directly
no test coverage detected