Welcome to RS_c, the central platform for the RecSys community. We provide curated lists of recommender-systems datasets, algorithms, books, conferences and many resources more. Maybe most importantly, we publish the latest recommender-system news. If you want your news to be reported on RS_c, read here.
“convenience wrappers around stats model’s various functions for computing p-values and confidence intervals. With Spotify Confidence, it’s easy to compute several p-values and confidence bounds in one go, e.g. one for each country or for each date. Each function comes in two versions, A) one that returns a pandas dataframe, and B) one that returns a Chartify chart.
Spotify Confidence has support calculating p-values and confidence intervals using Z-statistics, Student’s T-statistics (or more exactly Welch’s T-test), as well as Chi-squared statistics.
There is also a Bayesian alternative in the BetaBinomial class.