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How do I identify overffiting when using GridSchearCV?

I assume this 'mean_test_score' corresponds to the mean validation score [...]. So, I assume these scores: Training score = 'mean_train_score' Validation score = 'mean_test_score' Test score = score ...
MuhammedYunus's user avatar
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Does it make sense that the performance of XG Boost varies dramatically from two machines holding all hyperparameters fixed?

To me that sounds like a big gap for any model. You can control for randomness by setting the numpy, random, and other seeds. ...
MuhammedYunus's user avatar
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Scoring function in cross-validation often left default

It does sound a bit inconsistent to me, and in usual circumstances I'd probably opt for a different strategy. Tuning the model for accuracy suggests that accuracy is the metric of importance for the ...
MuhammedYunus's user avatar
1 vote

Averaging model performance across n-fold cross validation: MSE or R^2?

There are differences between these two metrics that we must consider, but I think you should not choose just one metric. Instead, you should use multiple metrics and check whether these metrics are ...
Foxbat's user avatar
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