@relation R_data_frame @attribute repeat numeric @attribute fold numeric @attribute row_id numeric @attribute prediction {class1,class2,class3,class4,class5} @attribute truth {class1,class2,class3,class4,class5} @attribute confidence.class1 numeric @attribute confidence.class2 numeric @attribute confidence.class3 numeric @attribute confidence.class4 numeric @attribute confidence.class5 numeric @data 1,4,1,class3,class2,0,0,1,0,0 1,5,2,class5,class2,0,0,0,0,1 1,6,3,class1,class2,1,0,0,0,0 1,4,4,class4,class4,0,0,0,1,0 1,5,5,class4,class4,0,0,0,1,0 1,3,6,class4,class4,0,0,0,1,0 1,7,7,class5,class5,0,0,0,0,1 1,9,8,class4,class4,0,0,0,1,0 1,8,9,class2,class3,0,1,0,0,0 1,2,10,class2,class4,0,1,0,0,0 1,8,11,class5,class5,0,0,0,0,1 1,7,12,class2,class5,0,1,0,0,0 1,10,13,class1,class4,1,0,0,0,0 1,3,14,class3,class5,0,0,1,0,0 1,10,15,class4,class4,0,0,0,1,0 1,1,16,class1,class5,1,0,0,0,0 1,7,17,class3,class5,0,0,1,0,0 1,7,18,class4,class4,0,0,0,1,0 1,1,19,class5,class5,0,0,0,0,1 1,4,20,class5,class5,0,0,0,0,1 1,2,21,class5,class1,0,0,0,0,1 1,7,22,class5,class5,0,0,0,0,1 1,9,23,class5,class5,0,0,0,0,1 1,1,24,class1,class3,1,0,0,0,0 1,5,25,class5,class5,0,0,0,0,1 1,10,26,class5,class5,0,0,0,0,1 1,5,27,class4,class4,0,0,0,1,0 1,6,28,class5,class5,0,0,0,0,1 1,1,29,class4,class4,0,0,0,1,0 1,6,30,class5,class2,0,0,0,0,1 1,4,31,class2,class3,0,1,0,0,0 1,2,32,class5,class5,0,0,0,0,1 1,1,33,class5,class1,0,0,0,0,1 1,6,34,class5,class5,0,0,0,0,1 1,10,35,class2,class4,0,1,0,0,0 1,6,36,class5,class5,0,0,0,0,1 1,4,37,class4,class5,0,0,0,1,0 1,5,38,class5,class3,0,0,0,0,1 1,5,39,class1,class2,1,0,0,0,0 1,3,40,class4,class4,0,0,0,1,0 1,10,41,class3,class2,0,0,1,0,0 1,5,42,class4,class4,0,0,0,1,0 1,1,43,class4,class2,0,0,0,1,0 1,6,44,class5,class3,0,0,0,0,1 1,1,45,class5,class2,0,0,0,0,1 1,5,46,class5,class5,0,0,0,0,1 1,8,47,class5,class5,0,0,0,0,1 1,10,48,class3,class5,0,0,1,0,0 1,1,49,class3,class2,0,0,1,0,0 1,6,50,class5,class5,0,0,0,0,1 1,5,51,class5,class2,0,0,0,0,1 1,3,52,class3,class3,0,0,1,0,0 1,6,53,class5,class5,0,0,0,0,1 1,6,54,class5,class3,0,0,0,0,1 1,10,55,class1,class1,1,0,0,0,0 1,9,56,class4,class1,0,0,0,1,0 1,3,57,class5,class5,0,0,0,0,1 1,3,58,class4,class5,0,0,0,1,0 1,2,59,class2,class3,0,1,0,0,0 1,6,60,class5,class3,0,0,0,0,1 1,6,61,class5,class2,0,0,0,0,1 1,7,62,class5,class5,0,0,0,0,1 1,2,63,class5,class5,0,0,0,0,1 1,10,64,class5,class5,0,0,0,0,1 1,2,65,class5,class2,0,0,0,0,1 1,4,66,class2,class5,0,1,0,0,0 1,3,67,class4,class1,0,0,0,1,0 1,4,68,class4,class4,0,0,0,1,0 1,6,69,class5,class5,0,0,0,0,1 1,1,70,class4,class4,0,0,0,1,0 1,9,71,class3,class3,0,0,1,0,0 1,10,72,class3,class3,0,0,1,0,0 1,7,73,class2,class4,0,1,0,0,0 1,8,74,class5,class5,0,0,0,0,1 1,10,75,class3,class3,0,0,1,0,0 1,4,76,class2,class1,0,1,0,0,0 1,3,77,class5,class5,0,0,0,0,1 1,8,78,class2,class3,0,1,0,0,0 1,5,79,class2,class2,0,1,0,0,0 1,5,80,class5,class3,0,0,0,0,1 1,6,81,class4,class4,0,0,0,1,0 1,5,82,class5,class5,0,0,0,0,1 1,6,83,class4,class1,0,0,0,1,0 1,10,84,class5,class1,0,0,0,0,1 1,3,85,class1,class2,1,0,0,0,0 1,9,86,class2,class5,0,1,0,0,0 1,8,87,class5,class5,0,0,0,0,1 1,1,88,class5,class5,0,0,0,0,1 1,8,89,class5,class3,0,0,0,0,1 1,4,90,class4,class2,0,0,0,1,0 1,10,91,class5,class5,0,0,0,0,1 1,8,92,class3,class2,0,0,1,0,0 1,9,93,class4,class4,0,0,0,1,0 1,10,94,class4,class5,0,0,0,1,0 1,7,95,class5,class5,0,0,0,0,1 1,9,96,class3,class4,0,0,1,0,0 1,8,97,class4,class5,0,0,0,1,0 1,3,98,class3,class3,0,0,1,0,0 1,3,99,class3,class2,0,0,1,0,0 1,9,100,class5,class5,0,0,0,0,1 1,7,101,class4,class4,0,0,0,1,0 1,5,102,class5,class5,0,0,0,0,1 1,2,103,class5,class5,0,0,0,0,1 1,9,104,class4,class4,0,0,0,1,0 1,9,105,class2,class1,0,1,0,0,0 1,7,106,class5,class3,0,0,0,0,1 1,9,107,class3,class3,0,0,1,0,0 1,3,108,class5,class5,0,0,0,0,1 1,7,109,class5,class5,0,0,0,0,1 1,8,110,class3,class3,0,0,1,0,0 1,3,111,class5,class3,0,0,0,0,1 1,6,112,class5,class3,0,0,0,0,1 1,2,113,class5,class5,0,0,0,0,1 1,4,114,class5,class5,0,0,0,0,1 1,6,115,class4,class4,0,0,0,1,0 1,8,116,class5,class5,0,0,0,0,1 1,10,117,class4,class4,0,0,0,1,0 1,6,118,class3,class3,0,0,1,0,0 1,1,119,class4,class4,0,0,0,1,0 1,6,120,class5,class5,0,0,0,0,1 1,4,121,class5,class3,0,0,0,0,1 1,4,122,class5,class1,0,0,0,0,1 1,6,123,class3,class3,0,0,1,0,0 1,8,124,class4,class4,0,0,0,1,0 1,6,125,class5,class1,0,0,0,0,1 1,7,126,class4,class4,0,0,0,1,0 1,2,127,class2,class5,0,1,0,0,0 1,1,128,class3,class3,0,0,1,0,0 1,9,129,class5,class3,0,0,0,0,1 1,10,130,class5,class5,0,0,0,0,1 1,5,131,class3,class3,0,0,1,0,0 1,8,132,class5,class3,0,0,0,0,1 1,5,133,class4,class4,0,0,0,1,0 1,2,134,class2,class5,0,1,0,0,0 1,4,135,class5,class5,0,0,0,0,1 1,2,136,class3,class2,0,0,1,0,0 1,4,137,class5,class5,0,0,0,0,1 1,7,138,class4,class3,0,0,0,1,0 1,4,139,class5,class5,0,0,0,0,1 1,2,140,class5,class5,0,0,0,0,1 1,4,141,class5,class3,0,0,0,0,1 1,1,142,class1,class2,1,0,0,0,0 1,7,143,class5,class5,0,0,0,0,1 1,5,144,class4,class3,0,0,0,1,0 1,5,145,class1,class5,1,0,0,0,0 1,10,146,class5,class2,0,0,0,0,1 1,8,147,class5,class3,0,0,0,0,1 1,3,148,class1,class1,1,0,0,0,0 1,6,149,class1,class1,1,0,0,0,0 1,9,150,class5,class5,0,0,0,0,1 1,8,151,class4,class2,0,0,0,1,0 1,3,152,class4,class4,0,0,0,1,0 1,3,153,class4,class4,0,0,0,1,0 1,9,154,class5,class5,0,0,0,0,1 1,7,155,class2,class2,0,1,0,0,0 1,8,156,class5,class2,0,0,0,0,1 1,3,157,class4,class4,0,0,0,1,0 1,3,158,class2,class1,0,1,0,0,0 1,1,159,class5,class5,0,0,0,0,1 1,5,160,class5,class4,0,0,0,0,1 1,9,161,class4,class5,0,0,0,1,0 1,7,162,class1,class5,1,0,0,0,0 1,9,163,class4,class5,0,0,0,1,0 1,8,164,class5,class1,0,0,0,0,1 1,7,165,class1,class2,1,0,0,0,0 1,3,166,class5,class2,0,0,0,0,1 1,4,167,class3,class4,0,0,1,0,0 1,2,168,class5,class3,0,0,0,0,1 1,5,169,class2,class5,0,1,0,0,0 1,10,170,class5,class3,0,0,0,0,1 1,8,171,class4,class5,0,0,0,1,0 1,9,172,class5,class5,0,0,0,0,1 1,2,173,class5,class5,0,0,0,0,1 1,2,174,class4,class4,0,0,0,1,0 1,5,175,class4,class1,0,0,0,1,0 1,7,176,class5,class5,0,0,0,0,1 1,1,177,class1,class5,1,0,0,0,0 1,10,178,class1,class1,1,0,0,0,0 1,1,179,class1,class3,1,0,0,0,0 1,1,180,class4,class4,0,0,0,1,0 1,2,181,class2,class5,0,1,0,0,0 1,5,182,class2,class2,0,1,0,0,0 1,4,183,class5,class5,0,0,0,0,1 1,6,184,class5,class3,0,0,0,0,1 1,9,185,class5,class5,0,0,0,0,1 1,4,186,class4,class4,0,0,0,1,0 1,3,187,class4,class4,0,0,0,1,0 1,10,188,class5,class2,0,0,0,0,1 1,1,189,class4,class3,0,0,0,1,0 1,3,190,class4,class4,0,0,0,1,0 1,6,191,class5,class2,0,0,0,0,1 1,9,192,class1,class2,1,0,0,0,0 1,8,193,class3,class1,0,0,1,0,0 1,7,194,class5,class2,0,0,0,0,1 1,1,195,class5,class1,0,0,0,0,1 1,10,196,class4,class4,0,0,0,1,0 1,4,197,class4,class4,0,0,0,1,0 1,8,198,class2,class5,0,1,0,0,0 1,5,199,class5,class4,0,0,0,0,1 1,6,200,class2,class4,0,1,0,0,0 1,2,201,class3,class4,0,0,1,0,0 1,3,202,class4,class4,0,0,0,1,0 1,10,203,class4,class4,0,0,0,1,0 1,1,204,class4,class5,0,0,0,1,0 1,3,205,class5,class5,0,0,0,0,1 1,5,206,class5,class2,0,0,0,0,1 1,8,207,class1,class2,1,0,0,0,0 1,5,208,class4,class3,0,0,0,1,0 1,5,209,class5,class5,0,0,0,0,1 1,2,210,class5,class5,0,0,0,0,1 1,4,211,class3,class3,0,0,1,0,0 1,6,212,class5,class5,0,0,0,0,1 1,8,213,class4,class3,0,0,0,1,0 1,8,214,class3,class5,0,0,1,0,0 1,5,215,class5,class5,0,0,0,0,1 1,6,216,class4,class4,0,0,0,1,0 1,2,217,class5,class5,0,0,0,0,1 1,8,218,class5,class5,0,0,0,0,1 1,8,219,class5,class5,0,0,0,0,1 1,6,220,class4,class4,0,0,0,1,0 1,3,221,class3,class3,0,0,1,0,0 1,5,222,class1,class4,1,0,0,0,0 1,8,223,class5,class5,0,0,0,0,1 1,1,224,class5,class5,0,0,0,0,1 1,8,225,class4,class4,0,0,0,1,0 1,7,226,class4,class5,0,0,0,1,0 1,8,227,class2,class2,0,1,0,0,0 1,8,228,class4,class4,0,0,0,1,0 1,10,229,class5,class2,0,0,0,0,1 1,9,230,class5,class5,0,0,0,0,1 1,3,231,class5,class5,0,0,0,0,1 1,4,232,class3,class5,0,0,1,0,0 1,8,233,class5,class5,0,0,0,0,1 1,9,234,class3,class5,0,0,1,0,0 1,6,235,class4,class4,0,0,0,1,0 1,2,236,class2,class3,0,1,0,0,0 1,9,237,class5,class5,0,0,0,0,1 1,2,238,class4,class4,0,0,0,1,0 1,6,239,class3,class3,0,0,1,0,0 1,8,240,class4,class4,0,0,0,1,0 1,4,241,class4,class4,0,0,0,1,0 1,9,242,class4,class4,0,0,0,1,0 1,8,243,class4,class4,0,0,0,1,0 1,8,244,class5,class2,0,0,0,0,1 1,1,245,class1,class1,1,0,0,0,0 1,7,246,class4,class4,0,0,0,1,0 1,10,247,class1,class3,1,0,0,0,0 1,5,248,class4,class1,0,0,0,1,0 1,3,249,class5,class5,0,0,0,0,1 1,8,250,class1,class5,1,0,0,0,0 1,2,251,class5,class1,0,0,0,0,1 1,4,252,class4,class3,0,0,0,1,0 1,2,253,class4,class4,0,0,0,1,0 1,2,254,class1,class2,1,0,0,0,0 1,10,255,class4,class5,0,0,0,1,0 1,9,256,class4,class4,0,0,0,1,0 1,7,257,class3,class3,0,0,1,0,0 1,4,258,class3,class2,0,0,1,0,0 1,7,259,class5,class1,0,0,0,0,1 1,1,260,class5,class3,0,0,0,0,1 1,2,261,class4,class5,0,0,0,1,0 1,5,262,class5,class5,0,0,0,0,1 1,3,263,class4,class4,0,0,0,1,0 1,2,264,class2,class5,0,1,0,0,0 1,6,265,class4,class4,0,0,0,1,0 1,2,266,class5,class3,0,0,0,0,1 1,5,267,class5,class5,0,0,0,0,1 1,6,268,class2,class2,0,1,0,0,0 1,10,269,class4,class1,0,0,0,1,0 1,1,270,class4,class4,0,0,0,1,0 1,1,271,class3,class2,0,0,1,0,0 1,1,272,class1,class4,1,0,0,0,0 1,7,273,class5,class5,0,0,0,0,1 1,4,274,class4,class4,0,0,0,1,0 1,1,275,class5,class5,0,0,0,0,1 1,3,276,class4,class2,0,0,0,1,0 1,7,277,class1,class1,1,0,0,0,0 1,10,278,class5,class4,0,0,0,0,1 1,10,279,class1,class3,1,0,0,0,0 1,4,280,class2,class2,0,1,0,0,0 1,6,281,class2,class2,0,1,0,0,0 1,10,282,class5,class5,0,0,0,0,1 1,3,283,class5,class5,0,0,0,0,1 1,8,284,class4,class4,0,0,0,1,0 1,4,285,class4,class4,0,0,0,1,0 1,10,286,class4,class2,0,0,0,1,0 1,2,287,class5,class5,0,0,0,0,1 1,1,288,class4,class4,0,0,0,1,0 1,4,289,class3,class3,0,0,1,0,0 1,8,290,class3,class4,0,0,1,0,0 1,3,291,class5,class5,0,0,0,0,1 1,7,292,class5,class1,0,0,0,0,1 1,6,293,class5,class5,0,0,0,0,1 1,9,294,class5,class3,0,0,0,0,1 1,1,295,class3,class3,0,0,1,0,0 1,5,296,class5,class5,0,0,0,0,1 1,9,297,class2,class2,0,1,0,0,0 1,3,298,class4,class4,0,0,0,1,0 1,5,299,class5,class4,0,0,0,0,1 1,1,300,class2,class5,0,1,0,0,0 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