Labeled Transaction Data for Classification and Prediction

A labeled dataset intended for classification and prediction tasks. The dataset is hosted on Kaggle, but specific details about its size, origin, and creation date are not provided. The author, organization, and temporal coverage are unknown.

Use Cases

• Train a classification model based on the labeled transaction data.
• Benchmark prediction algorithms using the provided labels.
• Develop a fraud detection system based on transaction patterns implied by the description.

Strengths

• Dataset is explicitly labeled for supervised learning tasks.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle