get.auc.importance: Calculate AUC importance of each attribute
In konstantin-kotochigov/ML-UTILS: Kostyan's functions
Description
Usage
Arguments
Value
Description
Creates a data frame with calculated AUC difference between good class and bad class for each variable
Usage
1
get.auc.importance(x, y)
Arguments
x
data frame with variables of interest (all must be numerics)
y
target variable
Value
data frame with variable names sorted by AUC statistics
konstantin-kotochigov/ML-UTILS documentation built on May 17, 2019, 7:30 p.m.
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Description Usage Arguments Value
Description
Creates a data frame with calculated AUC difference between good class and bad class for each variable
Usage
1 | get.auc.importance(x, y)
|
Arguments
x |
data frame with variables of interest (all must be numerics) |
y |
target variable |
Value
data frame with variable names sorted by AUC statistics
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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