{ "data_id": "1593", "name": "SensIT-Vehicle-Combined", "exact_name": "SensIT-Vehicle-Combined", "version": 1, "version_label": null, "description": "**Author**: University of Wisconsin\u2013Madison \nlibSVM\",\"AAD group \n**Source**: [original](http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvmtools\/datasets\/multiclass.html) - Date unknown \n**Please cite**: \n\n#Dataset from the LIBSVM data repository.\n\nPreprocessing: Regenerate features by the authors' matlab scripts (see Sec. C of Appendix A), then randomly select 10% instances from the noise class so that the class proportion is 1:1:2 (AAV:DW:noise). The training\/testing sets are from a random 80% and 20% split of the data.", "format": "Sparse_ARFF", "uploader": "Farooq Zuberi", "uploader_id": 402, "visibility": "public", "creator": "\"University of Wisconsin\u2013Madison\"", "contributor": "\"libSVM\",\"AAD group\"", "date": "2015-06-15 13:02:42", "update_comment": null, "last_update": "2015-06-15 13:02:42", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1595683\/php5PI4fc", "kaggle_url": null, "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "SensIT-Vehicle-Combined", "libSVM\",\"AAD group #Dataset from the LIBSVM data repository. Preprocessing: Regenerate features by the authors' matlab scripts (see Sec. C of Appendix A), then randomly select 10% instances from the noise class so that the class proportion is 1:1:2 (AAV:DW:noise). The training\/testing sets are from a random 80% and 20% split of the data. 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