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