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。
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，...
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...
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 ...
Root Mean Squared Root Mean Squared Error Root Mean Squared Logarithmic Error Root Mean Squared Velocity root mean squares root mean squares Root Mel-cepstral Coefficient root mode root morphology Root name server Root nameserver Root nameserver Root Net Primary Production Root node Root nodule Root no...
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. ...
cm depth. The root–shoot ratio was significantly higher in D2 than in the other treatment, whereas the RLD, RWD, leaf Pn and LAI were significantly greater in D3. Leaf Pn and LAI both increased as the irrigation amount increased. Regression analysis showed a natural logarithmic relationship ...
where l and m are the mean value of vectors that follow chi-squared distribution with the degree of freedom of l and m, respectively. It turns out that on the assumption δ1 < 1, Σu,1>Σu,2,Σy,1>Σy,2⇒ε(Ju)>ε(Jy)−m+n (2.38)forfu≠0,fy=0, (2.39)ε(Ju)<ε...
pi2+1)−log(ai+1))2 所以欠预测的loss更大。这里公式的+1实际问题中为了防止log(0)的问题。
求助：用xgboost的eval_metric只有rmse，没有rmsle。怎么自定义？