随着迭代次数的数量
调整超参数时，我会看到RMSE随着迭代次数的数量而变大。这与我期望的完全相反。难道数据对于顺序学习树来说太吵了吗？我的数据集很大，而且数量很小，而且数量很大，因此我认为发布代表性样本不会有帮助/可能。我只是想知道我们在图中看到的迭代＃的趋势可能是什么？
When tuning hyperparameters I see that the RMSE gets larger with a greater number of iterations. This is the exact opposite of what I was expecting. Could it be that the data is too noisy for sequential learning trees? My data set is huge with a lot of very small and some very large numbers so I don't think posting a representative sample would be helpful/possible. I am just wondering what is the likely cause for the trend with iterations # that we see in the plots?
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Y轴随高度降低。该图是预期的。
Y-axis decreases with height. The graph is as expected.