logloss: Log Loss for a binary classifier
In egenn/rtemis: Machine Learning and Visualization
logloss R Documentation
Log Loss for a binary classifier
Description
Log Loss for a binary classifier
Usage
logloss(true, estimated.prob)
Arguments
true
Factor: True labels. First level is the positive case
estimated.prob
Float, vector: Estimated probabilities
Author(s)
E.D. Gennatas
egenn/rtemis documentation built on Nov. 22, 2024, 4:12 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| logloss | R Documentation |
Log Loss for a binary classifier
Description
Log Loss for a binary classifier
Usage
logloss(true, estimated.prob)
Arguments
true |
Factor: True labels. First level is the positive case |
estimated.prob |
Float, vector: Estimated probabilities |
Author(s)
E.D. Gennatas
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.