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The family has been specifically generated for the delve environment and so the individual datasets span the corners of a cube whose dimensions represent:\n\nNumber of inputs 32 \ndegree of non-linearity (fairly linear or non-linear) \namount of noise in the output (moderate or high). \n\nSource: collection of regression datasets by Luis Torgo (torgo@ncc.up.pt) at\nhttp:\/\/www.ncc.up.pt\/~ltorgo\/Regression\/DataSets.html\nOriginal Source: DELVE repository of data. \nCharacteristics: 8192 (4500+3692) cases, 33 continuous variables.", "format": "ARFF", "uploader": "unknown", "uploader_id": 2, "visibility": "public", "creator": "\"\"", "contributor": "\"\"", "date": "2014-08-22 17:12:51", "update_comment": null, "last_update": "2014-08-22 17:12:51", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52211\/phpJEvZWG", "default_target_attribute": "thetadd6", "row_id_attribute": "", "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "puma32H", "This is one of a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm. 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