k_fold_cv {less} | R Documentation |
k-Fold Cross Validation
Description
Applies k-Fold cross validation to the given model on the given data
Usage
k_fold_cv(
data = NULL,
model = NULL,
random_state = NULL,
k = 5,
y_index = ncol(data)
)
Arguments
data |
The dataset to be used |
model |
A classification or a regression model (from LESS package) |
random_state |
A seed number to get reproducable result |
k |
Number of splits on the training set (defaults to 5) |
y_index |
Column index of the response variable on the given data. Default is the last column. |
Value
A vector consists of metric of the individual folds and the average metric over the folds
Examples
k_fold_cv(data = iris, model = KNeighborsClassifier$new(), k = 3)
[Package less version 0.1.0 Index]