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cross validation

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algorithm accuracy bias bootstrap coefficient correlation data dataset deviation error estimate evaluation feature fold generalization hyperparameter inference iteration learning linear regression logarithm machine learning mean metric model overfitting parameter performance prediction precision probability randomization random forest recall regression reliability sample sampling score sensitivity specificity split statistics training set tuning underfitting variance weight neural network classifier outlier residual stochastic heuristic optimization convergence gradient matrix vector tensor epoch batch loss function stratification shuffling empirical theoretical robustness calibration normalization standardization

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