{ "data_id": "45017", "name": "Bioresponse", "exact_name": "Bioresponse", "version": 2, "version_label": null, "description": "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. \n \n Original link: https:\/\/openml.org\/d\/4134 \n \n Original description: \n \n**Author**: Boehringer Ingelheim \n**Source**: [Kaggle](https:\/\/www.kaggle.com\/c\/bioresponse) - 2011 \n**Please cite**: None \n\nPredict a biological response of molecules from their chemical properties. Each row in this data set represents a molecule. The first column contains experimental data describing an actual biological response; the molecule was seen to elicit this response (1), or not (0). The remaining columns represent molecular descriptors (d1 through d1776), these are calculated properties that can capture some of the characteristics of the molecule - for example size, shape, or elemental constitution. The descriptor matrix has been normalized.\n\nThe original training and test set were merged.", "format": "arff", "uploader": "Leo Grin", "uploader_id": 26324, "visibility": "public", "creator": null, "contributor": "\"Leo Grin\"", "date": "2023-01-03 15:15:18", "update_comment": null, "last_update": "2023-01-03 15:15:18", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22111903\/dataset", "kaggle_url": null, "default_target_attribute": "target", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Bioresponse", "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original link: https:\/\/openml.org\/d\/4134 Original description: Predict a biological response of molecules from their chemical properties. Each row in this data set represents a molecule. 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