my_knn_cv: k-Nearest Neighbors Cross-Validation Classification
In hugoliao330/stat302util: Utilities for STAT302 at UW
Description
Usage
Arguments
Value
Description
k-nearest neighbor cross-validatory classification from training set.
Usage
1
my_knn_cv(train, cl, k_nn, k_cv)
Arguments
train
input data frame.
cl
true class value of your training data.
k_nn
integer representing the number of neighbors.
k_cv
integer representing the number of folds.
Value
a list with objects class, a vector of the predicted class
for all observations, and cv_err, a numeric with the
cross-validation misclassification error.
hugoliao330/stat302util documentation built on March 18, 2020, 12:12 a.m.
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Description Usage Arguments Value
Description
k-nearest neighbor cross-validatory classification from training set.
Usage
1 | my_knn_cv(train, cl, k_nn, k_cv)
|
Arguments
train |
input data frame. |
cl |
true class value of your training data. |
k_nn |
integer representing the number of neighbors. |
k_cv |
integer representing the number of folds. |
Value
a list with objects class, a vector of the predicted class
for all observations, and cv_err, a numeric with the
cross-validation misclassification error.
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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