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Search options not deleted user 88749

Use this tag for questions related to overfitting, which is a modeling error (especially sampling error) where instead of improving model fit statistics, replicable and informative relationships among variables reduce parsimony, and worsens explanatory and predictive validity.

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Interpretation for test score , training score and validation score in machine learning?

overfitting and under fitting on the basis of test score , training score and validation score? Usually, high training score and low test score is over-fitting. …
Ashraful Alam Imran's user avatar