{ "data_id": "1507", "name": "twonorm", "exact_name": "twonorm", "version": 1, "version_label": null, "description": "**Author**: Michael Revow \n**Source**: http:\/\/www.cs.toronto.edu\/~delve\/data\/twonorm\/desc.html \n**Please cite**: \n\n* Twonorm dataset\n\nThis is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution with unit variance. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2\/sqrt(20). Breiman reports the theoretical expected misclassification rate as 2.3%. He used 300 training examples with CART and found an error of 22.1%.\n", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2015-05-25 23:17:08", "update_comment": null, "last_update": "2015-11-09 20:16:49", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1592299\/phpxijhaP", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 118, "suggest": { "input": [ "twonorm", "* Twonorm dataset This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution with unit variance. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2\/sqrt(20). Breiman reports the theoretical expected misclassification rate as 2.3%. He used 300 training examples with CART and found an error of 22.1%. 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