Overfitting
A phenomenon where an AI model learns the training data too well, including the noise and outliers, which negatively affects its ability to generalize to new data.
A phenomenon where an AI model learns the training data too well, including the noise and outliers, which negatively affects its ability to generalize to new data.
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