Stratified Grouped Splitting
Leave-One-Group-Out Splitter
Stratified K-Fold Splitter From Scratch
Greedy Group K-Fold Splitter
Stratified K-Fold for Regression Targets
Duplicate-Aware Group K-Fold Splitting
Stratified Group K-Fold Splitter
K-Fold Splitter From Scratch
Repeated K-Fold With Per-Repetition Seeds
Monte Carlo Shuffle-Split Cross-Validation
Three-Way Train/Validation/Test Hold-Out Split
Leave-One-Out and Leave-P-Out Splitters
The .632 Bootstrap Error Estimator
Leakage Prevention Pipelines
Leak-Free Cross-Validated Preprocessing Pipeline
Feature Selection Leakage on Pure Noise
Stratified CV With Train-Fold Oversampling
Adversarial Validation Pipeline With Drift Report
Cross-Validation Split Leakage Checker
Leak-Free CV With In-Fold Target Encoding
Cv Training Oof Predictions
Out-of-Fold Predictions for Stacking
Cross-Validated Metrics with Pooled Out-of-Fold Scores
Leak-Free Out-of-Fold Predictions for Stacking
Estimate Bias Variance Experiments
Train vs Hold-out vs K-Fold Accuracy
Validation Overfitting From Repeated Model Selection
Leakage Safe Splits Model Comparison
Time Series Cross-Validation Splits With Gap
Purged and Embargoed K-Fold Splitter
Nadeau-Bengio Corrected Resampled t-Test
Blocked Spatial K-Fold Cross-Validation
Nested Cross-Validation with One-SE Rule
Dietterich 5x2cv Paired t-Test