Use case on the banknote-authentication dataset

Dataset banknote-authentication

Machine Learning Task: Binary classification

This is a banknote-authentication. Dataset about distinguishing genuine and forged banknotes. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used.

Available at OpenML:

Category: Fintech

# Rows: 1,372 # Columns: 4

Target: Class


Numeric: V1, V2, V3, V4

Machine Learning Use Case Fintech

Area Under ROC Curve (AUC)

Banknote Authentication Auc

Accuracy (ACC)

Banknote Authentication Acc

Balanced Accuracy (BALACC)

Banknote Authentication Balacc

Cross-Entropy Loss (LOGLOSS)

Banknote Authentication Logloss

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