Use case on the credit-approval dataset

Dataset credit-approval

Machine Learning Task: Binary classification

This is a credit-approval dataset. This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.

Available at OpenML:

Category: Banking

# Rows: 690 # Columns: 15

Target: class


Numeric: A2, A3, A8, A11, A14, A15

Nominal: A1, A4, A5, A6, A7, A9, A10, A12, A13

Machine Learning Use Case Banking

Area Under ROC Curve (AUC)

Credit Approval Auc

Accuracy (ACC)

Credit Approval Acc

Balanced Accuracy (BALACC)

Credit Approval Balacc

Cross-Entropy Loss (LOGLOSS)

Credit Approval Logloss

« Back to Machine Learning Algorithms Comparison