class_honest_split: Honest Sample Split
In ocf: Ordered Correlation Forest
class_honest_split R Documentation
Honest Sample Split
Description
Randomly spits the sample into a training sample and an honest sample.
Usage
class_honest_split(data, honesty.fraction = 0.5)
Arguments
data
data.frame or matrix to be split. The outcome must be located in the first column.
honesty.fraction
Fraction of honest sample.
Details
class_honest_split looks for balanced splits, i.e., splits such as all the outcome's classes are represented
in both the training and the honest sample. After 100 trials, the program throws an error.
Value
List with elements:
train_sample
Training sample.
honest_sample
Honest sample.
ocf documentation built on April 4, 2025, 4:44 a.m.
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| class_honest_split | R Documentation |
Honest Sample Split
Description
Randomly spits the sample into a training sample and an honest sample.
Usage
class_honest_split(data, honesty.fraction = 0.5)
Arguments
data |
|
honesty.fraction |
Fraction of honest sample. |
Details
class_honest_split looks for balanced splits, i.e., splits such as all the outcome's classes are represented
in both the training and the honest sample. After 100 trials, the program throws an error.
Value
List with elements:
train_sample |
Training sample. |
honest_sample |
Honest sample. |
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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