hazelnut-spread-contaminant-detection

This dataset was curated for [TabArena](https://tabarena.ai/) by the TabArena team as part of the [TabArena Tabular ML IID Study](https://tabarena.ai/data-tabular-ml-iid-study). For more details on the study, see our [paper](https://tabarena.ai/paper-tabular-ml-iid-study). **Dataset Focus**: This dataset shall be used for evaluating predictive machine learning models for independent and identically distributed tabular data. The intended task is classification. --- #### Dataset Metadata - **Licence:** CC BY-SA - **Original Data Source:** https://www.openml.org/search?type=data&status=active&id=45538 - **Reference (please cite)**: Ricci, Marco, et al. 'Machine-learning-based microwave sensing: A case study for the food industry.' IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11.3 (2021): 503-514. https://doi.org/10.1109/JETCAS.2021.3097699; Urbinati, Luca, et al. 'A machine-learning based microwave sensing approach to food contaminant detection.' 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. https://doi.org/10.1109/ISCAS45731.2020.9181293 - **Dataset Year:** 2020 - **Dataset Description:** see the reference and the original data source for details. #### Curation comments by the TabArena team (for code see the [page of the study](https://tabarena.ai/data-tabular-ml-iid-study)): - We select a features from a single frequency (10 GHz) as the authors also only considered this frequency for the final experiments. - Anomaly: we use the publicly available dataset state, which is without preprocessing. Moreover, we were not able to inverse the original ordinal encoding of the label.