Enabling easy statistical significance testing for deep neural networks.

A web application to design and evaluate the results of A/B tests.

Analyzes the results of A/B tests to determine if there is a statistically significant difference between control and treatment groups. It provides a structured approach for performing A/B tests, interpreting results, and making data-informed decisions. A valuable resource for marketers and product managers aiming to optimize user experience.

Analyse efficacy of your own confidence interval (CI) methods