New answers tagged cross-entropy
0
votes
What is the difference Cross-entropy and KL divergence?
Some answers are already provided, while I would like to point out regarding the question itself
measure the distance between two probability distributions
that neither of cross-entropy and KL ...
0
votes
Normalized Cross Entropy
the closer p is to 0 or 1, the easier it is to achieve a better log loss (i.e. cross entropy, i.e. numerator).
If almost all of the cases are of one category, then we can always predict a high ...
- 31.3k
0
votes
cross entropy logistic test set
The issue you're encountering is that, in a regression problem, most people optimize the loss function of interest, often MSE (or something equivalent like SSE, RMSE, or $−R^2$, all of which are ...
- 31.3k
1
vote
Accepted
XGBoost Objective Derivation Problem
Since you mention probabilities, I assume you are thinking about a binary classification, in which case the trees all operate in the log-odds space, the $x$s in your notation. So the $\hat{y}$ and $...
- 2,846
Top 50 recent answers are included