vault backup: 2026-05-23 15:45:37
This commit is contained in:
1 parent
be95637e9a
commit
9eb204736b
1 file changed
+1
+1
@@ -4,3 +4,4 @@
|
||||
|
||||
The article that I chose to look at is an introduction to the log-loss score and some intuition behind it: https://towardsdatascience.com/intuition-behind-log-loss-score-4e0c9979680a/
|
||||
|
||||
The goal of this article is to show some of the intuition between log-loss rather than just providing formulas and showing how to apply them. It starts by defining classification problems and how models first predict a probability that an instance belongs to a certain class before then classifying them based on the probability. It then describes how log
|
||||
Reference in new issue
Block a user