Modelni baholash usullari - Cross-validation va metrikalar
metrikalark-foldcross-validation
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Tavsif
K-fold cross-validation is a technique to evaluate models by dividing the dataset into K equal parts, using one part for testing and the rest for training. Results are averaged for each fold. K is often chosen as 5 or 10 for effective data utilization and reduced variance. Note: stratified K-fold maintains class ratios; computation cost increases linearly with K
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- Taqdimotlar | Informatika va AT
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- Qo'shilgan
- 20.01.2026
