Use case on the APSFailure dataset

Dataset APSFailure

Machine Learning Task: Binary classification

This is an APS Failure at Scania Trucks. The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS), which generates pressurized air utilized in various functions in a truck, such as braking and gear changes. The datasets' positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS.

Available at OpenML:

Category: Manufacturing

# Rows: 76,000 # Columns: 170

Target: class


Numeric: aa_000, ab_000, ac_000, ad_000, ae_000, af_000, ag_000, ag_001, ag_002, ag_003, ag_004, ag_005, ag_006, ag_007, ag_008, ag_009, ah_000, ai_000, aj_000, ak_000, ...

Machine Learning Use Case Manufacturing

Area Under ROC Curve (AUC)

Apsfailure Auc

Accuracy (ACC)

Apsfailure Acc

Balanced Accuracy (BALACC)

Apsfailure Balacc

Cross-Entropy Loss (LOGLOSS)

Apsfailure Logloss

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