A/B Test Simulator - Conversion Rate Prediction
Data Tools
CSV: numeric feature columns + a 0/1 label column (last column, or named label/target/converted)
What is A/B Test Simulator - Conversion Rate Prediction?
How it works
Features & Benefits
- Fits logistic regression entirely client-side via WebAssembly
- What-if sliders enable instant scenario exploration
- No data leaves your browser - safe for sensitive experiment data
Frequently Asked Questions
What input format is expected?
A CSV file where columns are features and the last column (or any column named 'label', 'target', or 'converted') is the 0/1 outcome. The tool also accepts raw JSON: {features: [[...]], labels: [...], feature_names: [...]}.
How many iterations does training run?
500 gradient descent iterations with a learning rate of 0.1. Sufficient for most linearly-separable experiments.
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