my_knn_cv: 'my_knn_cv' Function
In Cherry-ty-Pan/STAT302package: Stat 302 Project 3
Description
Usage
Arguments
Value
Examples
Description
This function predict output class using covariates.
Usage
1
my_knn_cv(train, cl, k_nn, k_cv)
Arguments
train
an input data frame.
cl
true class value of the 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 Y_hat for all observations,
cv_err: a numeric with the cross-validation misclassification error.
Examples
1
my_knn_cv(my_penguins[, 3:6], my_penguins$species, 5, 5)
Cherry-ty-Pan/STAT302package documentation built on Dec. 17, 2021, 2 p.m.
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Description Usage Arguments Value Examples
Description
This function predict output class using covariates.
Usage
1 | my_knn_cv(train, cl, k_nn, k_cv)
|
Arguments
train |
an input data frame. |
cl |
true class value of the training data. |
k_nn |
integer representing the number of neighbors. |
k_cv |
integer representing the number of folds. |
Value
a list with objects:
class: a vector of the predicted class Y_hat for all observations,
cv_err: a numeric with the cross-validation misclassification error.
Examples
1 | my_knn_cv(my_penguins[, 3:6], my_penguins$species, 5, 5)
|
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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