OpenML Machine Learning Benchmark Dataset

OpenML dataset 'fictif20bkdkmcven7nov2025' is a machine learning benchmark for tabular data. It is part of the OpenML platform's collection of datasets for algorithm testing and comparison. The dataset's specific origin, size, and creation date are not detailed in the available metadata.

Use Cases

• Benchmarking classification algorithm performance on tabular features.
• Comparing feature engineering techniques on structured benchmark data.
• Testing model robustness using a standardized OpenML dataset.

Strengths

• Dataset is hosted on OpenML, a major platform for reproducible machine learning research.
• Dataset is explicitly tagged for use as a machine learning benchmark.

Limitations

• No information on row count, column count, or data size is available.
• Data quality, completeness, and potential biases are unknown.

Provenance

Source

OpenML platform