@relation R_data_frame

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute prediction {class1,class2,class3}
@attribute truth {class1,class2,class3}
@attribute confidence.class1 numeric
@attribute confidence.class2 numeric
@attribute confidence.class3 numeric

@data
1,4,1,class2,class1,0,1,0
1,5,2,class1,class2,1,0,0
1,8,3,class3,class2,0,0,1
1,3,4,class3,class3,0,0,1
1,10,5,class3,class2,0,0,1
1,7,6,class2,class3,0,1,0
1,1,7,class1,class1,1,0,0
1,2,8,class2,class1,0,1,0
1,5,9,class3,class3,0,0,1
1,1,10,class3,class3,0,0,1
1,5,11,class1,class2,1,0,0
1,8,12,class2,class2,0,1,0
1,6,13,class3,class1,0,0,1
1,5,14,class2,class1,0,1,0
1,7,15,class1,class1,1,0,0
1,4,16,class3,class3,0,0,1
1,2,17,class2,class2,0,1,0
1,7,18,class3,class2,0,0,1
1,10,19,class3,class3,0,0,1
1,2,20,class2,class2,0,1,0
1,3,21,class2,class1,0,1,0
1,9,22,class3,class3,0,0,1
1,1,23,class3,class3,0,0,1
1,10,24,class1,class3,1,0,0
1,1,25,class1,class2,1,0,0
1,10,26,class3,class1,0,0,1
1,5,27,class2,class3,0,1,0
1,2,28,class1,class2,1,0,0
1,7,29,class2,class3,0,1,0
1,9,30,class3,class1,0,0,1
1,3,31,class3,class3,0,0,1
1,1,32,class3,class3,0,0,1
1,5,33,class1,class1,1,0,0
1,2,34,class1,class1,1,0,0
1,7,35,class2,class1,0,1,0
1,7,36,class1,class2,1,0,0
1,7,37,class3,class2,0,0,1
1,4,38,class3,class2,0,0,1
1,6,39,class1,class2,1,0,0
1,5,40,class2,class2,0,1,0
1,10,41,class2,class1,0,1,0
1,6,42,class1,class3,1,0,0
1,4,43,class1,class3,1,0,0
1,7,44,class3,class3,0,0,1
1,1,45,class1,class2,1,0,0
1,3,46,class3,class3,0,0,1
1,2,47,class2,class2,0,1,0
1,2,48,class2,class1,0,1,0
1,2,49,class2,class3,0,1,0
1,10,50,class3,class2,0,0,1
1,10,51,class3,class2,0,0,1
1,6,52,class2,class2,0,1,0
1,1,53,class1,class1,1,0,0
1,1,54,class1,class2,1,0,0
1,4,55,class3,class3,0,0,1
1,6,56,class3,class3,0,0,1
1,3,57,class3,class3,0,0,1
1,3,58,class1,class3,1,0,0
1,5,59,class3,class2,0,0,1
1,10,60,class1,class2,1,0,0
1,7,61,class3,class3,0,0,1
1,9,62,class1,class1,1,0,0
1,4,63,class2,class1,0,1,0
1,6,64,class1,class1,1,0,0
1,4,65,class1,class3,1,0,0
1,8,66,class1,class3,1,0,0
1,7,67,class3,class3,0,0,1
1,8,68,class2,class1,0,1,0
1,5,69,class2,class3,0,1,0
1,2,70,class1,class1,1,0,0
1,7,71,class2,class2,0,1,0
1,8,72,class2,class2,0,1,0
1,10,73,class1,class1,1,0,0
1,8,74,class3,class3,0,0,1
1,10,75,class1,class1,1,0,0
1,9,76,class3,class2,0,0,1
1,9,77,class2,class2,0,1,0
1,4,78,class2,class2,0,1,0
1,6,79,class1,class2,1,0,0
1,3,80,class3,class1,0,0,1
1,7,81,class3,class3,0,0,1
1,4,82,class2,class1,0,1,0
1,6,83,class1,class2,1,0,0
1,6,84,class1,class3,1,0,0
1,3,85,class1,class2,1,0,0
1,6,86,class3,class3,0,0,1
1,2,87,class3,class2,0,0,1
1,3,88,class2,class1,0,1,0
1,6,89,class1,class2,1,0,0
1,5,90,class2,class3,0,1,0
1,1,91,class2,class1,0,1,0
1,5,92,class1,class3,1,0,0
1,9,93,class2,class2,0,1,0
1,10,94,class1,class3,1,0,0
1,3,95,class3,class3,0,0,1
1,3,96,class2,class1,0,1,0
1,9,97,class1,class2,1,0,0
1,9,98,class2,class2,0,1,0
1,5,99,class1,class2,1,0,0
1,5,100,class1,class1,1,0,0
1,4,101,class3,class2,0,0,1
1,6,102,class2,class2,0,1,0
1,7,103,class2,class2,0,1,0
1,3,104,class2,class1,0,1,0
1,7,105,class2,class1,0,1,0
1,5,106,class3,class3,0,0,1
1,3,107,class3,class3,0,0,1
1,2,108,class1,class1,1,0,0
1,7,109,class2,class1,0,1,0
1,5,110,class2,class2,0,1,0
1,1,111,class1,class2,1,0,0
1,1,112,class1,class3,1,0,0
1,5,113,class3,class3,0,0,1
1,6,114,class2,class2,0,1,0
1,4,115,class2,class3,0,1,0
1,1,116,class1,class2,1,0,0
1,2,117,class3,class2,0,0,1
1,1,118,class1,class1,1,0,0
1,7,119,class2,class2,0,1,0
1,6,120,class3,class3,0,0,1
1,8,121,class2,class3,0,1,0
1,9,122,class3,class3,0,0,1
1,1,123,class1,class2,1,0,0
1,9,124,class1,class3,1,0,0
1,6,125,class2,class1,0,1,0
1,3,126,class3,class3,0,0,1
1,6,127,class1,class2,1,0,0
1,4,128,class2,class1,0,1,0
1,6,129,class2,class2,0,1,0
1,3,130,class2,class3,0,1,0
1,8,131,class3,class3,0,0,1
1,5,132,class3,class1,0,0,1
1,8,133,class1,class1,1,0,0
1,4,134,class2,class1,0,1,0
1,4,135,class1,class2,1,0,0
1,9,136,class3,class3,0,0,1
1,3,137,class2,class3,0,1,0
1,6,138,class3,class1,0,0,1
1,9,139,class2,class1,0,1,0
1,8,140,class2,class1,0,1,0
1,6,141,class2,class3,0,1,0
1,7,142,class2,class2,0,1,0
1,1,143,class1,class2,1,0,0
1,3,144,class2,class1,0,1,0
1,10,145,class1,class2,1,0,0
1,10,146,class1,class1,1,0,0
1,2,147,class3,class3,0,0,1
1,7,148,class1,class2,1,0,0
1,8,149,class1,class2,1,0,0
1,5,150,class3,class3,0,0,1
1,1,151,class1,class1,1,0,0
1,10,152,class1,class2,1,0,0
1,5,153,class3,class3,0,0,1
1,4,154,class3,class3,0,0,1
1,5,155,class2,class3,0,1,0
1,7,156,class2,class1,0,1,0
1,3,157,class1,class2,1,0,0
1,4,158,class3,class3,0,0,1
1,8,159,class2,class2,0,1,0
1,3,160,class2,class2,0,1,0
1,6,161,class2,class2,0,1,0
1,6,162,class3,class2,0,0,1
1,6,163,class3,class1,0,0,1
1,6,164,class1,class3,1,0,0
1,6,165,class3,class3,0,0,1
1,1,166,class2,class2,0,1,0
1,10,167,class2,class3,0,1,0
1,6,168,class1,class1,1,0,0
1,10,169,class3,class2,0,0,1
1,5,170,class1,class1,1,0,0
1,10,171,class2,class2,0,1,0
1,7,172,class1,class2,1,0,0
1,5,173,class1,class2,1,0,0
1,3,174,class1,class3,1,0,0
1,9,175,class2,class1,0,1,0
1,1,176,class3,class3,0,0,1
1,2,177,class2,class2,0,1,0
1,9,178,class2,class2,0,1,0
1,3,179,class3,class3,0,0,1
1,5,180,class2,class1,0,1,0
1,9,181,class1,class2,1,0,0
1,7,182,class3,class3,0,0,1
1,6,183,class3,class2,0,0,1
1,9,184,class1,class3,1,0,0
1,10,185,class1,class1,1,0,0
1,8,186,class3,class3,0,0,1
1,5,187,class3,class3,0,0,1
1,6,188,class2,class2,0,1,0
1,2,189,class2,class2,0,1,0
1,1,190,class2,class2,0,1,0
1,5,191,class2,class1,0,1,0
1,4,192,class2,class1,0,1,0
1,7,193,class1,class1,1,0,0
1,5,194,class1,class3,1,0,0
1,5,195,class2,class2,0,1,0
1,5,196,class3,class2,0,0,1
1,4,197,class2,class2,0,1,0
1,4,198,class3,class3,0,0,1
1,1,199,class2,class1,0,1,0
1,10,200,class2,class3,0,1,0
1,2,201,class1,class3,1,0,0
1,7,202,class2,class1,0,1,0
1,3,203,class3,class3,0,0,1
1,3,204,class1,class1,1,0,0
1,4,205,class1,class1,1,0,0
1,3,206,class1,class1,1,0,0
1,10,207,class3,class3,0,0,1
1,8,208,class3,class3,0,0,1
1,10,209,class3,class3,0,0,1
1,8,210,class3,class3,0,0,1
1,6,211,class3,class3,0,0,1
1,5,212,class1,class2,1,0,0
1,4,213,class1,class1,1,0,0
1,6,214,class3,class3,0,0,1
1,10,215,class1,class2,1,0,0
1,6,216,class2,class3,0,1,0
1,8,217,class3,class3,0,0,1
1,10,218,class3,class3,0,0,1
1,5,219,class3,class3,0,0,1
1,5,220,class3,class2,0,0,1
1,4,221,class2,class2,0,1,0
1,7,222,class3,class3,0,0,1
1,7,223,class2,class1,0,1,0
1,4,224,class1,class2,1,0,0
1,3,225,class1,class2,1,0,0
1,2,226,class3,class3,0,0,1
1,8,227,class1,class2,1,0,0
1,5,228,class3,class3,0,0,1
1,9,229,class3,class2,0,0,1
1,4,230,class1,class2,1,0,0
1,6,231,class2,class1,0,1,0
1,5,232,class2,class2,0,1,0
1,6,233,class2,class1,0,1,0
1,3,234,class3,class3,0,0,1
1,4,235,class1,class2,1,0,0
1,7,236,class2,class2,0,1,0
1,6,237,class1,class2,1,0,0
1,6,238,class3,class3,0,0,1
1,3,239,class3,class3,0,0,1
1,4,240,class3,class1,0,0,1
1,4,241,class3,class3,0,0,1
1,5,242,class2,class2,0,1,0
1,7,243,class1,class2,1,0,0
1,2,244,class3,class1,0,0,1
1,2,245,class2,class2,0,1,0
1,10,246,class3,class3,0,0,1
1,9,247,class3,class3,0,0,1
1,8,248,class1,class3,1,0,0
1,2,249,class1,class1,1,0,0
1,9,250,class1,class3,1,0,0
1,9,251,class3,class3,0,0,1
1,6,252,class2,class1,0,1,0
1,10,253,class2,class2,0,1,0
1,4,254,class2,class1,0,1,0
1,2,255,class2,class1,0,1,0
1,3,256,class1,class3,1,0,0
1,7,257,class1,class2,1,0,0
1,5,258,class1,class2,1,0,0
1,7,259,class1,class1,1,0,0
1,2,260,class1,class3,1,0,0
1,10,261,class3,class3,0,0,1
1,5,262,class3,class3,0,0,1
1,4,263,class3,class3,0,0,1
1,6,264,class1,class1,1,0,0
1,9,265,class3,class2,0,0,1
1,8,266,class3,class2,0,0,1
1,2,267,class1,class3,1,0,0
1,10,268,class2,class1,0,1,0
1,8,269,class1,class1,1,0,0
1,10,270,class3,class3,0,0,1
1,2,271,class1,class1,1,0,0
1,4,272,class2,class2,0,1,0
1,5,273,class2,class1,0,1,0
1,6,274,class1,class1,1,0,0
1,4,275,class2,class3,0,1,0
1,4,276,class3,class3,0,0,1
1,10,277,class3,class3,0,0,1
1,6,278,class2,class2,0,1,0
1,2,279,class2,class2,0,1,0
1,5,280,class3,class3,0,0,1
1,1,281,class1,class1,1,0,0
1,2,282,class2,class2,0,1,0
1,10,283,class3,class3,0,0,1
1,7,284,class3,class3,0,0,1
1,9,285,class3,class3,0,0,1
1,1,286,class3,class3,0,0,1
1,1,287,class1,class1,1,0,0
1,10,288,class3,class3,0,0,1
1,7,289,class1,class2,1,0,0
1,10,290,class1,class2,1,0,0
1,2,291,class1,class1,1,0,0
1,7,292,class3,class3,0,0,1
1,1,293,class1,class2,1,0,0
1,5,294,class3,class1,0,0,1
1,8,295,class1,class2,1,0,0
1,7,296,class1,class3,1,0,0
1,8,297,class2,class2,0,1,0
1,4,298,class3,class2,0,0,1
1,8,299,class1,class2,1,0,0
1,2,300,class3,class2,0,0,1
1,2,301,class3,class3,0,0,1
1,10,302,class2,class1,0,1,0
1,4,303,class3,class3,0,0,1
1,8,304,class3,class3,0,0,1
1,3,305,class3,class3,0,0,1
1,3,306,class3,class1,0,0,1
1,10,307,class1,class1,1,0,0
1,7,308,class2,class2,0,1,0
1,1,309,class2,class1,0,1,0
1,9,310,class1,class1,1,0,0
1,8,311,class2,class2,0,1,0
1,9,312,class3,class3,0,0,1
1,10,313,class3,class3,0,0,1
1,8,314,class1,class1,1,0,0
1,8,315,class3,class3,0,0,1
1,9,316,class3,class3,0,0,1
1,8,317,class2,class1,0,1,0
1,9,318,class2,class2,0,1,0
1,9,319,class1,class1,1,0,0
1,5,320,class1,class2,1,0,0
1,10,321,class1,class1,1,0,0
1,8,322,class3,class3,0,0,1
1,10,323,class2,class2,0,1,0
1,4,324,class1,class3,1,0,0
1,7,325,class3,class2,0,0,1
1,3,326,class2,class3,0,1,0
1,7,327,class3,class3,0,0,1
1,4,328,class3,class3,0,0,1
1,4,329,class2,class2,0,1,0
1,1,330,class1,class1,1,0,0
1,9,331,class2,class1,0,1,0
1,10,332,class2,class2,0,1,0
1,1,333,class3,class3,0,0,1
1,1,334,class2,class2,0,1,0
1,5,335,class2,class2,0,1,0
1,9,336,class2,class2,0,1,0
1,2,337,class3,class3,0,0,1
1,9,338,class1,class1,1,0,0
1,1,339,class3,class2,0,0,1
1,3,340,class2,class1,0,1,0
1,9,341,class3,class2,0,0,1
1,2,342,class2,class1,0,1,0
1,10,343,class2,class1,0,1,0
1,6,344,class1,class1,1,0,0
1,1,345,class3,class3,0,0,1
1,2,346,class1,class2,1,0,0
1,2,347,class1,class3,1,0,0
1,10,348,class1,class3,1,0,0
1,4,349,class1,class1,1,0,0
1,7,350,class1,class1,1,0,0
1,1,351,class2,class2,0,1,0
1,2,352,class3,class3,0,0,1
1,3,353,class3,class3,0,0,1
1,10,354,class1,class2,1,0,0
1,2,355,class3,class3,0,0,1
1,5,356,class1,class1,1,0,0
1,5,357,class1,class1,1,0,0
1,3,358,class2,class2,0,1,0
1,7,359,class1,class2,1,0,0
1,8,360,class1,class2,1,0,0
1,7,361,class1,class2,1,0,0
1,1,362,class2,class1,0,1,0
1,7,363,class1,class1,1,0,0
1,10,364,class1,class1,1,0,0
1,3,365,class3,class2,0,0,1
1,1,366,class3,class3,0,0,1
1,9,367,class2,class1,0,1,0
1,3,368,class2,class2,0,1,0
1,9,369,class2,class2,0,1,0
1,1,370,class1,class3,1,0,0
1,3,371,class3,class2,0,0,1
1,10,372,class1,class2,1,0,0
1,9,373,class2,class2,0,1,0
1,6,374,class2,class1,0,1,0
1,8,375,class3,class3,0,0,1
1,4,376,class3,class2,0,0,1
1,4,377,class1,class3,1,0,0
1,3,378,class2,class1,0,1,0
1,3,379,class1,class1,1,0,0
1,7,380,class3,class3,0,0,1
1,7,381,class1,class3,1,0,0
1,6,382,class3,class3,0,0,1
1,7,383,class3,class3,0,0,1
1,8,384,class1,class2,1,0,0
1,3,385,class3,class3,0,0,1
1,3,386,class2,class1,0,1,0
1,7,387,class1,class1,1,0,0
1,5,388,class2,class2,0,1,0
1,1,389,class3,class2,0,0,1
1,8,390,class1,class1,1,0,0
1,8,391,class3,class3,0,0,1
1,3,392,class2,class1,0,1,0
1,9,393,class2,class2,0,1,0
1,4,394,class3,class1,0,0,1
1,3,395,class1,class1,1,0,0
1,8,396,class1,class2,1,0,0
1,2,397,class1,class1,1,0,0
1,1,398,class1,class2,1,0,0
1,2,399,class1,class2,1,0,0
1,6,400,class3,class3,0,0,1
1,5,401,class1,class2,1,0,0
1,9,402,class3,class3,0,0,1
1,3,403,class1,class2,1,0,0
1,2,404,class3,class3,0,0,1
1,5,405,class1,class1,1,0,0
1,8,406,class1,class2,1,0,0
1,10,407,class1,class3,1,0,0
1,9,408,class2,class2,0,1,0
1,10,409,class3,class1,0,0,1
1,3,410,class2,class2,0,1,0
1,2,411,class2,class2,0,1,0
1,7,412,class2,class2,0,1,0
1,7,413,class2,class2,0,1,0
1,6,414,class1,class1,1,0,0
1,6,415,class2,class3,0,1,0
1,10,416,class1,class2,1,0,0
1,5,417,class1,class3,1,0,0
1,8,418,class1,class1,1,0,0
1,3,419,class2,class3,0,1,0
1,8,420,class3,class3,0,0,1
1,6,421,class3,class1,0,0,1
1,8,422,class3,class3,0,0,1
1,1,423,class2,class2,0,1,0
1,8,424,class3,class1,0,0,1
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