Train Test Split Calculator

Optimize your data splits with stratification and k-fold analysis

Dataset Configuration

Number of samples in your dataset
Typical range: 60-80%
Typical range: 10-20%
1.0 = balanced, >1.0 = imbalanced

Split Results

Training Set
Validation Set
Test Set
Test Ratio
Configure your dataset to see recommendations

K-Fold Cross-Validation Recommendations

Configure dataset to see k-fold analysis

Data Distribution Analysis