visualiseVerificationResults: Displays accuracies from functionality analysis

In lr98769/doppelgangerIdentifier: Identifies Doppelgangers Between Datasets With PPCC And Meta data

Displays accuracies from functionality analysis

Description

Displays results from verifyDoppelgangers

Usage

visualiseVerificationResults(
  verification_results,
  original_train_valid_names = c(),
  new_train_valid_names = c()
)

Arguments

verification_results	List returned from verifyDoppelgangers
original_train_valid_names	Original names of training and validation pairs
new_train_valid_names	New names of training and validation pairs

Examples

## Not run: 
ori_train_valid_names = c("Doppel_0","Doppel_2", "Doppel_4", "Doppel_6", "Doppel_8", "Neg_Con", "Pos_Con")

new_train_valid_names = c("0 Doppel", "2 Doppel", "4 Doppel", "6 Doppel", "8 Doppel", "Binomial", "Perfect Leakage")

visualiseVerificationResults( verification_results,
                              ori_train_valid_names,
                              new_train_valid_names)

## End(Not run)

lr98769/doppelgangerIdentifier documentation built on Aug. 2, 2022, 9:41 a.m.