visualize_clusters: Title

In eklavyaj/RandomSplitDiagnostics: The Package allows you to diagnose the randomness and model performance of a given train-test split in machine learning.

Title

Description

Title

Usage

visualize_clusters(
  df.scores,
  dataset.name,
  initial.scores,
  model.relation,
  save.plots = TRUE,
  output.dir,
  metric.performance = "Normalized AIC"
)

Arguments

df.scores	Dataframe consisting of metric performance scores for different train-test splits
dataset.name	Name of the Dataset (String)
initial.scores	The performance metric value for the given initial train-test split
model.relation	The relation used for regression model
save.plots	Saves plots in output.dir when set to TRUE
output.dir	The path to output directory the plots are saved to
metric.performance	The performance metric, usually Normalized AIC

eklavyaj/RandomSplitDiagnostics documentation built on June 1, 2022, 8:36 p.m.