word
cross-validation
KROS val-ih-DAY-shun
krɒs ˌvælɪˈdeɪʃənListen
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Syllable breakdown
crossvalidation
Dictionary meaning
a resampling procedure for evaluating machine learning models on limited data by partitioning the dataset into complementary subsets, training the model on one portion, and evaluating performance on the held-out portion; k-fold cross-validation repeats this process k times with different splits and averages results; provides a more reliable estimate of generalisation performance than a single train-test split and is essential for model selection and hyperparameter tuning
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