BIRF: Balanced iterative random forest (Anaissi, Kennedy, Goyal and...
In bhioswego/CBRMSR: CBRMSR
Description
Usage
Arguments
Examples
Description
This is a feature selection method that iteratively removes features with zero importance using Random Forest
It is mostly used in the selection module.
Usage
1
Arguments
matrix
Matrix with features in columns and samples in rows
class
vector of classification labels for each sample
Examples
1
2
3
4
bhioswego/CBRMSR documentation built on Dec. 6, 2020, 3:16 p.m.
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Description Usage Arguments Examples
Description
This is a feature selection method that iteratively removes features with zero importance using Random Forest It is mostly used in the selection module.
Usage
1 |
Arguments
matrix |
Matrix with features in columns and samples in rows |
class |
vector of classification labels for each sample |
Examples
1 2 3 4 |
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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