为解决此问题，考虑使用对数RMSE（logarithmic RMSE）。先取对数操作，可以稍微缓解大值误差对整体评估的影响。RMSE在预测值分布固定时，评估结果较为合理。然而，对数转换后的RMSE同样存在适用范围限制，其效果依赖于数据特性。
假如真实值为1000，若果预测值是600，那么RMSE=400， RMSLE=0.510 假如真实值为1000，若预测结果为1400...
RMSE就会很大。 相应的，如果另外一个比较差的算法对这一个大的值准确一些，但是很多小的值都有偏差，...
1. RMSLE(Root Mean Square Logarithmic Error) 2. RMSPE(Root Mean Square Percentage Error) 对于数值序列出现长尾分布的情况,可以选择MSLE(Mean squared logarithmic error,均方对数误差),对原有数据取对数后再进行比较(公式中+1是为了避免数值为0时出现无穷值)。 0 3 R²系列 R²(R squared, Coefficient ...
Kaggle calls this "[root] mean squared logarithmic error", not "[root] mean squared log error" which sounds like it's a function of the log of the error. I think this is an important distinction. I'm not sure if you need to rename the function and scorer to reflect this, but at ...
any(): raise ValueError( "Root Mean Squared Logarithmic Error cannot be used when " "targets contain negative values." ) However, the actual calculations behind these errors are valid for values of y_true & y_pred larger than -1, so any values in y_true or y_pred that are in the ...
The root mean squared logarithmic error (RMSLE). RMSLE=1n∑i=1n(log(yiˆ+1)−log(yi+1))2 6.6.4Mean absolute percent error The mean absolute percent error (MAPE) is theamount of the accuracy of a prediction. It measures the size of the error (Fig. 6.5;Table 6.1). ...
This correspondence shows that the support growth of a fixed-rate optimum (minimum mean-squared error) scalar quantizer for a Laplacian density is logarithmic with the number of quantization points. Specifically, it is shown that, for a unit-variance Laplacian density, the ratio of the support-de...
Theroot mean squareserror of prediction (RMSEP) was calculated based on the AutoFom III predicted values and the reference values. Prediction errors were evaluated by determining theroot mean squareserrors of calibration (RMSEC),root mean squareserror of cross validation (RMSECV), and RMSEP. ...
RMSLE惩罚欠预测大于过预测。我是看bike sharing demand问题见到这个指标的，结合实际考虑某些情况下会存在...