{ "data_id": "41976", "name": "TuningSVMs", "exact_name": "TuningSVMs", "version": 1, "version_label": null, "description": "**Author**: Rafael G. Mantovani, Edesio Alcoba\u00e7a, Andr\u00e9 L. D. Rossi, Joaquin Vanschoren, Andr\u00e9 C. P. L. F. de Carvalho \r\n**Source**: \"A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers\" - Information Sciences, volume 501, 2019. \r\n**Please cite**: 10.1016\/j.ins.2019.06.005 \r\n\r\nThis is a meta-dataset which describes the SVM hyperparameter tuning problem. The target attribute indicates whether tuning is required or default hyperparameter values are enough to each dataset (row). Targets were defined using a statistical labelling rule comparing the predictive performance of models induced with defaults values and tuned ones. In this version of the dataset, the labelling rule was set with 90% confidence.", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": "\"Rafael G. Mantovani\",\"Edesio Alcobaca\",\"Andre L. D. Rossi\",\"Joaquin Vanschoren\",\"Andre C.P.L.F. de Carvalho\"", "contributor": null, "date": "2019-07-17 00:49:41", "update_comment": null, "last_update": "2019-07-17 00:49:41", "licence": "CC0", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21381922\/classif_svm_156d_90_all_optdfs.arff", "default_target_attribute": "Class", "row_id_attribute": "datasets", "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "TuningSVMs", "This is a meta-dataset which describes the SVM hyperparameter tuning problem. The target attribute indicates whether tuning is required or default hyperparameter values are enough to each dataset (row). Targets were defined using a statistical labelling rule comparing the predictive performance of models induced with defaults values and tuned ones. In this version of the dataset, the labelling rule was set with 90% confidence. 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