k_fold_cross: k_fold_cross
In ProxReg: Linear Models for Prediction and Classification using Proximal Operators
k_fold_cross R Documentation
k_fold_cross
Description
k_fold_cross splits the dataset into k parts, and uses k-1 parts to train the model and the remaining part to test the model.
Usage
k_fold_cross(data,k)
Arguments
data
dataset which will be used for K-Fols Cross Validation
k
integer
Value
a list with two sublists: training set and test set
Examples
df = data.frame("hours"=c(1, 2, 4, 5, 5, 6, 6, 7, 8, 10, 11, 11, 12, 12, 14),
"score"=c(64, 66, 76, 73, 74, 81, 83, 82, 80, 88, 84, 82, 91, 93, 89))
k_fold_cross(df,k=2)
ProxReg documentation built on April 3, 2025, 9:21 p.m.
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| k_fold_cross | R Documentation |
k_fold_cross
Description
k_fold_cross splits the dataset into k parts, and uses k-1 parts to train the model and the remaining part to test the model.
Usage
k_fold_cross(data,k)
Arguments
data |
dataset which will be used for K-Fols Cross Validation |
k |
integer |
Value
a list with two sublists: training set and test set
Examples
df = data.frame("hours"=c(1, 2, 4, 5, 5, 6, 6, 7, 8, 10, 11, 11, 12, 12, 14),
"score"=c(64, 66, 76, 73, 74, 81, 83, 82, 80, 88, 84, 82, 91, 93, 89))
k_fold_cross(df,k=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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