fn_RF_classifier: RF classification model

In biomedbigdata/SPONGE: Sparse Partial Correlations On Gene Expression

RF classification model

Description

RF classification model

Usage

fn_RF_classifier(
  Input.object,
  K,
  rep,
  metric = "Exact_match",
  tunegrid,
  set_seed = 42
)

Arguments

Input.object	data.frame made by predictors and dependent variable
K	number of folds (k-fold)
rep	number of times repeating the cross validation
metric	metric (Exact_match, Accuracy) (default: Exact_match)
tunegrid	defines the grid for the hyperparameter optimization during cross validation (caret package)
set_seed	set seed (default: 42)

biomedbigdata/SPONGE documentation built on Feb. 6, 2023, 10:19 p.m.