penalty: (helper function) Calculate cross validation penalty
In Information: Data Exploration with Information Theory (Weight-of-Evidence and Information Value)
Description
penalty returns the weighted cross validation penalty.
Usage
1
Arguments
t
training data (data.frame)
v
valdation data (data.frame)
d_net_lift
is it a net lift model? (1=yes, 0=no)
Information documentation built on May 2, 2019, 7:15 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.
Description
penalty returns the weighted cross validation penalty.
Usage
1 |
Arguments
t |
training data (data.frame) |
v |
valdation data (data.frame) |
d_net_lift |
is it a net lift model? (1=yes, 0=no) |
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.