my_knn_cv: k-nearest Neighbors Cross Validation.
In ElliotWinters/exwProject3: STAT 302 Project 3
Description
Usage
Arguments
Value
Examples
Description
k-nearest Neighbors Cross Validation.
Usage
1
my_knn_cv(train, cl, k_nn, k_cv)
Arguments
train
an input data frame,
cl
the true class value of the training data
k_nn
an integer of the number of neighbors
k_cv
an integer of the number of folds.
Value
a list of two objects: class; a vector of predicted classes
for each observation, and cv_err; the numeric misclassification
error.
Examples
1
2
ElliotWinters/exwProject3 documentation built on Dec. 17, 2021, 6:26 p.m.
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Description Usage Arguments Value Examples
Description
k-nearest Neighbors Cross Validation.
Usage
1 | my_knn_cv(train, cl, k_nn, k_cv)
|
Arguments
train |
an input data frame, |
cl |
the true class value of the training data |
k_nn |
an integer of the number of neighbors |
k_cv |
an integer of the number of folds. |
Value
a list of two objects: class; a vector of predicted classes
for each observation, and cv_err; the numeric misclassification
error.
Examples
1 2 |
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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