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What is cross-validation and why is it important in machine learning?

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  • #101561
    ruhiparveen0310
    Deelnemer

    Cross-validation is a technique used in machine learning to evaluate the performance of a model. It involves splitting the dataset into multiple subsets, or folds, training the model on a combination of these folds, and then evaluating it on the remaining fold.

    #101586

    Cross-validation is a technique used in machine learning to assess the performance of a predictive model. It involves splitting the data into multiple subsets, training the model on some of the subsets, and then testing it on the remaining subsets. This helps to ensure that the model is generalizing well to new, unseen data and can help prevent overfitting.

2 berichten aan het bekijken - 1 tot 2 (van in totaal 2)
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