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    "description": "**Author**: Michael Revow     \n**Source**: http:\/\/www.cs.toronto.edu\/~delve\/data\/ringnorm\/desc.html   \n**Please cite**:     \n\n1: Abstract: \n\nThis is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean zero and covariance 4 times the identity. Class 2 has mean (a,a,..a) and unit covariance. a = 2\/sqrt(20). \n\n2: Data set description.\n\nThis is an implementation of Leo Breiman's ringnorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution. Class 1 has mean zero and covariance 4 times the identity. Class 2 has mean (a,a,..a) and unit covariance. a = 2\/sqrt(20). Breiman reports the theoretical expected misclassification rate as 1.3%. He used 300 training examples with CART and found an error of 21.4%.\n\n\n- Type.          Classification \n- Origin.  Laboratory\n- Instances.  7400\n- Features.  20\n- Classes.  2 \n- Missing values. No\n\n3: Attributes information\n\n@relation ring\n@attribute A1 real [-6879.0, 6285.0]\n@attribute A2 real [-7141.0, 6921.0]\n@attribute A3 real [-7734.0, 7611.0]\n@attribute A4 real [-6627.0, 7149.0]\n@attribute A5 real [-7184.0, 6383.0]\n@attribute A6 real [-6946.0, 6743.0]\n@attribute A7 real [-7781.0, 6285.0]\n@attribute A8 real [-6882.0, 6357.0]\n@attribute A9 real [-7184.0, 7487.0]\n@attribute A10 real [-7232.0, 6757.0]\n@attribute A11 real [-7803.0, 7208.0]\n@attribute A12 real [-7395.0, 6791.0]\n@attribute A13 real [-7096.0, 6403.0]\n@attribute A14 real [-7472.0, 7261.0]\n@attribute A15 real [-7342.0, 7372.0]\n@attribute A16 real [-7121.0, 6905.0]\n@attribute A17 real [-7163.0, 7175.0]\n@attribute A18 real [-8778.0, 6896.0]\n@attribute A19 real [-7554.0, 5726.0]\n@attribute A20 real [-6722.0, 7627.0]\n@attribute Class {0, 1}\n@inputs A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20\n@outputs Class\n\n",
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    "date": "2015-05-25 21:28:19",
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    "last_update": "2015-11-09 20:20:24",
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    "url": "https:\/\/www.openml.org\/data\/download\/1592288\/phpWfYmlu",
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