select_threshold: Find optimal threshold for PAMR feature selection.
In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Description
Usage
Arguments
Details
Value
Author(s)
Description
Find optimal threshold for PAMR feature selection. Prefers small number of features.
Usage
1
select_threshold(histcv, max_allowed_feat = NULL)
Arguments
histcv
Crossvalidation history from pamr run.
max_allowed_feat
Maximum number of features to be selected.
Details
Depending on the threshold the number of selected features will change.
This function looks for the optimal number with respect to the training
error.
Value
The threshold with minimal training error.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
bootfs documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Find optimal threshold for PAMR feature selection. Prefers small number of features.
Usage
1 | select_threshold(histcv, max_allowed_feat = NULL)
|
Arguments
histcv |
Crossvalidation history from pamr run. |
max_allowed_feat |
Maximum number of features to be selected. |
Details
Depending on the threshold the number of selected features will change. This function looks for the optimal number with respect to the training error.
Value
The threshold with minimal training error.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
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.
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