my_knn_cv: Output class predictor
In amakinney/Stat302Package: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
This function predicts the species of penguins based on the input data.
Usage
1
my_knn_cv(train, cl, k_nn, k_cv)
Arguments
train
The data frame inputted.
cl
The true class of the training data.
k_nn
Numeric input representing the number of neighbors.
k_cv
Numeric input representing the number of folds.
Value
A list with a vector of predicted classes and a numeric value with
the predicted misclassification rate.
Examples
1
2
my_knn_cv(data_use, data_clean$species, k_nn = 1, k_cv = 5)
amakinney/Stat302Package documentation built on Dec. 19, 2021, 1:37 a.m.
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Description Usage Arguments Value Examples
Description
This function predicts the species of penguins based on the input data.
Usage
1 | my_knn_cv(train, cl, k_nn, k_cv)
|
Arguments
train |
The data frame inputted. |
cl |
The true class of the training data. |
k_nn |
Numeric input representing the number of neighbors. |
k_cv |
Numeric input representing the number of folds. |
Value
A list with a vector of predicted classes and a numeric value with the predicted misclassification rate.
Examples
1 2 | my_knn_cv(data_use, data_clean$species, k_nn = 1, k_cv = 5)
|
R Package Documentation
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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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