How to pronounce“overfitting”in English
And therefore, the loss at some point the net loss will increase and the prediction quality will decrease because the negative effects of
overfitting outweigh the positive effects of better approximation.
So to summarize, as a model becomes more complex, t starts to fit the true function better and better, so it's approximation quality increases.
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Definitions of “overfitting”
present participle and gerund of overfit
The production of a statistical model that, due to an excess of parameters relative to the sample size, fits the sample data extremely well but fails to fit new data.