Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The parameter k refers to the number of groups that a given data sample is to be split into.
Drag to change the number of data splits.
Adjust k and click Play or Step to begin.
| Fold Iteration | Validation Set | Accuracy |
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Simulation results will appear here.