Twonorm data set 1: Description. This is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a).. a = 2/sqrt(20). 2: Type. Classification 3: Origin. Laboratory 4: Instances. 7400 5: Features. 20 6: Classes. 2 7: Missing values. No 8: Header. @relation twonorm @attribute A1 real [-4.2497, 3.5782] @attribute A2 real [-3.9606, 4.3451] @attribute A3 real [-4.4798, 4.4039] @attribute A4 real [-3.8891, 4.2589] @attribute A5 real [-3.9099, 5.6395] @attribute A6 real [-4.0095, 3.9901] @attribute A7 real [-3.7334, 4.4522] @attribute A8 real [-4.5744, 3.8648] @attribute A9 real [-3.8136, 4.254] @attribute A10 real [-4.1999, 4.0829] @attribute A11 real [-3.9204, 4.0953] @attribute A12 real [-3.8262, 4.3025] @attribute A13 real [-3.9451, 3.7817] @attribute A14 real [-3.8516, 4.1238] @attribute A15 real [-3.6978, 3.5485] @attribute A16 real [-3.6976, 4.2439] @attribute A17 real [-3.9428, 3.7233] @attribute A18 real [-4.0653, 4.0557] @attribute A19 real [-4.1218, 4.3238] @attribute A20 real [-3.7831, 4.279] @attribute Class {0, 1} @inputs A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20 @outputs Class