Original data is partitioned randomly into the k folds. 1 fold is used for the validation, k-1 folds of data are used for hypothesis training.
- Preface
- Classification Using K Nearest Neighbors
- Naive Bayes
- Decision Trees
- Random Forest
- Clustering into K Clusters
- Regression
- Time Series Analysis
- Statistics
- R Reference
- Python Reference
- Glossary of Algorithms and Methods in Data Science
K-fold cross-validation
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