Open soroush-ziaeinejad opened 2 years ago
This metric measures how much better a predictor is compared to a naive prediction. It seems so fit for our news article recommendation application.
RCE = 100 × (Reference Cross Entropy − Cross Entropy) / Reference Cross Entropy
Hi @farinamhz Are you sure you're putting your summary in the correct issue page? I see no relation between lda and rce?
Hello @hosseinfani, I am sorry, I posted my summary in the wrong place. I fixed it.
This metric measures how much better a predictor is compared to a naive prediction. It seems so fit for our news article recommendation application.
RCE = 100 × (Reference Cross Entropy − Cross Entropy) / Reference Cross Entropy