IR: The Imbalance Ratio (IR) of a Data Set.
In RomeroBarata/dcme: Data Complexity Measures
Description
Usage
Arguments
Value
Description
IR computes the imbalance ratio of a binary data set. It is defined
as the ratio of the number of majority class examples to the number of
minority class examples.
Usage
1
IR(y)
Arguments
y
A vector (or factor) determining the class of each example in
the data.
Value
The imbalance ratio of the input data set.
RomeroBarata/dcme documentation built on May 9, 2019, 2:24 p.m.
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Description Usage Arguments Value
Description
IR computes the imbalance ratio of a binary data set. It is defined
as the ratio of the number of majority class examples to the number of
minority class examples.
Usage
1 | IR(y)
|
Arguments
y |
A vector (or factor) determining the class of each example in the data. |
Value
The imbalance ratio of the input data set.
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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