Simple Bayesian A/B Testing Calculator

Description

This project was developed based on Evan Miller Bayesian A/B Testing Article.

Essentially the project logic is based on OVO(one vs one) algorithm. Because A/B/C/N Bayesian Test calculation required high-cost computation($O(N^{variant count})$)

In order to comparing many Variants, I used a tricky method as followed:

1. choose the best arm before calculating the winning probability.
2. and then compare between the best and the other arm.

The steps were made faster than Multivariate Bayesian test($O({variant count} * N)$). But for using this project, you should assume each arm is independent.

For using this site ...

Just visit the site!

Screenshot