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