N3: Error Rate of 1-NN Classifier.
In RomeroBarata/dcme: Data Complexity Measures
Description
Usage
Arguments
Value
Description
N3 computes the error rate of the 1-NN classifier using the
leave-one-out strategy.
Usage
1
N3(x, y)
Arguments
x
A data frame, or an object that can be converted to a data frame,
containing only the features of the data.
y
A vector (or factor) determining the class of each example in
the data.
Value
The leave-one-out error estimate of the 1-NN classifier for 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
N3 computes the error rate of the 1-NN classifier using the
leave-one-out strategy.
Usage
1 | N3(x, y)
|
Arguments
x |
A data frame, or an object that can be converted to a data frame, containing only the features of the data. |
y |
A vector (or factor) determining the class of each example in the data. |
Value
The leave-one-out error estimate of the 1-NN classifier for 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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