What does "overfitting" mean?
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.
noun, verb ·Rare ·Advanced level
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"Adding more parameters to a neural network is often necessary to increase performance, but without a corresponding increase in dataset size, it can easily lead to overfitting."
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.
Common synonyms include: memorization, nongeneralizable, over-specialize, overfit, overfitted, overgeneralize.
Adding more parameters to a neural network is often necessary to increase performance, but without a corresponding increase in dataset size, it can easily lead to overfitting.