bias_variance: Bias-Variance Decomposition

In egenn/rtemis: Machine Learning and Visualization

Bias-Variance Decomposition

Description

Bias-Variance Decomposition

Usage

bias_variance(
  x,
  y,
  mod,
  res1_train.p = 0.7,
  params = list(),
  resample.params = setup.resample(n.resamples = 100),
  seed = NULL,
  verbose = TRUE,
  res.verbose = FALSE,
  ...
)

Arguments

x	Predictors
y	Outcome
mod	Character: rtemis learner
res1_train.p	Numeric: Proportion of cases to use for training
params	List of mod parameters
resample.params	Output of setup.resample
seed	Integer: Seed for initial train/test split
verbose	Logical: If TRUE, print messages to console
res.verbose	Logical: passed to the learning function
...	Additional arguments passed to resLearn

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.