APSFailure

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 4.0 - **Original Data Source:** https://doi.org/10.24432/C5V60Q - **Reference (please cite)**: IDA2016Challenge [Dataset]. (2016). UCI Machine Learning Repository. https://doi.org/10.24432/C5V60Q. - **Dataset Year:** 2016 - **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 combined the original training and testing data into a single dataset. - We renamed the target feature to "AirPressureSystemFailure". - We converted "na" strings to real NaN/missing values, making the data numeric. - Anomaly: we cannot determine the data types of the features. - Anomaly: some features are bins of histograms (see original data description). - Anomaly: the original task used a cost matrix for evaluation.