@relation R_data_frame

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute prediction {Cattle,Horses,Pigs,Poultry,Sheep}
@attribute truth {Cattle,Horses,Pigs,Poultry,Sheep}
@attribute confidence.Cattle numeric
@attribute confidence.Horses numeric
@attribute confidence.Pigs numeric
@attribute confidence.Poultry numeric
@attribute confidence.Sheep numeric

@data
0,0,93,Cattle,Horses,1,0,0,0,0
0,0,99,Poultry,Horses,0,0,0,1,0
0,0,100,Cattle,Horses,1,0,0,0,0
0,0,34,Cattle,Pigs,1,0,0,0,0
0,0,35,Cattle,Pigs,1,0,0,0,0
0,0,30,Cattle,Pigs,1,0,0,0,0
0,0,2,Poultry,Cattle,0,0,0,1,0
0,0,1,Poultry,Cattle,0,0,0,1,0
0,0,114,Cattle,Sheep,1,0,0,0,0
0,0,107,Cattle,Sheep,1,0,0,0,0
0,0,106,Poultry,Sheep,0,0,0,1,0
0,0,65,Cattle,Poultry,1,0,0,0,0
0,0,55,Cattle,Poultry,1,0,0,0,0
0,1,78,Cattle,Horses,1,0,0,0,0
0,1,95,Poultry,Horses,0,0,0,1,0
0,1,94,Cattle,Horses,1,0,0,0,0
0,1,31,Cattle,Pigs,1,0,0,0,0
0,1,36,Poultry,Pigs,0,0,0,1,0
0,1,49,Poultry,Pigs,0,0,0,1,0
0,1,22,Cattle,Cattle,1,0,0,0,0
0,1,24,Cattle,Cattle,1,0,0,0,0
0,1,105,Poultry,Sheep,0,0,0,1,0
0,1,116,Poultry,Sheep,0,0,0,1,0
0,1,113,Cattle,Sheep,1,0,0,0,0
0,1,56,Cattle,Poultry,1,0,0,0,0
0,1,75,Poultry,Poultry,0,0,0,1,0
0,2,101,Pigs,Horses,0,0,1,0,0
0,2,96,Pigs,Horses,0,0,1,0,0
0,2,90,Pigs,Horses,0,0,1,0,0
0,2,32,Pigs,Pigs,0,0,1,0,0
0,2,40,Pigs,Pigs,0,0,1,0,0
0,2,6,Pigs,Cattle,0,0,1,0,0
0,2,12,Pigs,Cattle,0,0,1,0,0
0,2,3,Pigs,Cattle,0,0,1,0,0
0,2,120,Pigs,Sheep,0,0,1,0,0
0,2,122,Pigs,Sheep,0,0,1,0,0
0,2,115,Pigs,Sheep,0,0,1,0,0
0,2,76,Pigs,Poultry,0,0,1,0,0
0,2,72,Pigs,Poultry,0,0,1,0,0
0,3,85,Pigs,Horses,0,0,1,0,0
0,3,91,Pigs,Horses,0,0,1,0,0
0,3,92,Pigs,Horses,0,0,1,0,0
0,3,29,Pigs,Pigs,0,0,1,0,0
0,3,43,Pigs,Pigs,0,0,1,0,0
0,3,13,Pigs,Cattle,0,0,1,0,0
0,3,21,Pigs,Cattle,0,0,1,0,0
0,3,19,Pigs,Cattle,0,0,1,0,0
0,3,118,Pigs,Sheep,0,0,1,0,0
0,3,128,Pigs,Sheep,0,0,1,0,0
0,3,125,Pigs,Sheep,0,0,1,0,0
0,3,68,Pigs,Poultry,0,0,1,0,0
0,3,63,Pigs,Poultry,0,0,1,0,0
0,4,102,Pigs,Horses,0,0,1,0,0
0,4,79,Horses,Horses,0,1,0,0,0
0,4,103,Pigs,Horses,0,0,1,0,0
0,4,38,Pigs,Pigs,0,0,1,0,0
0,4,50,Pigs,Pigs,0,0,1,0,0
0,4,9,Pigs,Cattle,0,0,1,0,0
0,4,5,Pigs,Cattle,0,0,1,0,0
0,4,0,Pigs,Cattle,0,0,1,0,0
0,4,111,Horses,Sheep,0,1,0,0,0
0,4,117,Pigs,Sheep,0,0,1,0,0
0,4,66,Pigs,Poultry,0,0,1,0,0
0,4,54,Pigs,Poultry,0,0,1,0,0
0,4,57,Pigs,Poultry,0,0,1,0,0
0,5,81,Sheep,Horses,0,0,0,0,1
0,5,88,Sheep,Horses,0,0,0,0,1
0,5,86,Pigs,Horses,0,0,1,0,0
0,5,37,Pigs,Pigs,0,0,1,0,0
0,5,41,Pigs,Pigs,0,0,1,0,0
0,5,18,Pigs,Cattle,0,0,1,0,0
0,5,20,Sheep,Cattle,0,0,0,0,1
0,5,16,Sheep,Cattle,0,0,0,0,1
0,5,123,Sheep,Sheep,0,0,0,0,1
0,5,126,Sheep,Sheep,0,0,0,0,1
0,5,67,Sheep,Poultry,0,0,0,0,1
0,5,71,Pigs,Poultry,0,0,1,0,0
0,5,53,Sheep,Poultry,0,0,0,0,1
0,6,89,Sheep,Horses,0,0,0,0,1
0,6,82,Sheep,Horses,0,0,0,0,1
0,6,42,Sheep,Pigs,0,0,0,0,1
0,6,48,Sheep,Pigs,0,0,0,0,1
0,6,46,Sheep,Pigs,0,0,0,0,1
0,6,8,Sheep,Cattle,0,0,0,0,1
0,6,15,Sheep,Cattle,0,0,0,0,1
0,6,17,Sheep,Cattle,0,0,0,0,1
0,6,119,Sheep,Sheep,0,0,0,0,1
0,6,124,Sheep,Sheep,0,0,0,0,1
0,6,69,Sheep,Poultry,0,0,0,0,1
0,6,73,Sheep,Poultry,0,0,0,0,1
0,6,52,Sheep,Poultry,0,0,0,0,1
0,7,87,Horses,Horses,0,1,0,0,0
0,7,84,Sheep,Horses,0,0,0,0,1
0,7,47,Sheep,Pigs,0,0,0,0,1
0,7,26,Sheep,Pigs,0,0,0,0,1
0,7,28,Sheep,Pigs,0,0,0,0,1
0,7,4,Sheep,Cattle,0,0,0,0,1
0,7,14,Sheep,Cattle,0,0,0,0,1
0,7,10,Sheep,Cattle,0,0,0,0,1
0,7,110,Horses,Sheep,0,1,0,0,0
0,7,121,Sheep,Sheep,0,0,0,0,1
0,7,60,Horses,Poultry,0,1,0,0,0
0,7,58,Horses,Poultry,0,1,0,0,0
0,7,62,Sheep,Poultry,0,0,0,0,1
0,8,97,Cattle,Horses,1,0,0,0,0
0,8,98,Cattle,Horses,1,0,0,0,0
0,8,33,Cattle,Pigs,1,0,0,0,0
0,8,51,Cattle,Pigs,1,0,0,0,0
0,8,39,Cattle,Pigs,1,0,0,0,0
0,8,7,Cattle,Cattle,1,0,0,0,0
0,8,11,Cattle,Cattle,1,0,0,0,0
0,8,112,Cattle,Sheep,1,0,0,0,0
0,8,127,Horses,Sheep,0,1,0,0,0
0,8,109,Horses,Sheep,0,1,0,0,0
0,8,74,Horses,Poultry,0,1,0,0,0
0,8,61,Cattle,Poultry,1,0,0,0,0
0,8,59,Horses,Poultry,0,1,0,0,0
0,9,80,Cattle,Horses,1,0,0,0,0
0,9,83,Horses,Horses,0,1,0,0,0
0,9,44,Cattle,Pigs,1,0,0,0,0
0,9,45,Horses,Pigs,0,1,0,0,0
0,9,27,Cattle,Pigs,1,0,0,0,0
0,9,25,Horses,Cattle,0,1,0,0,0
0,9,23,Horses,Cattle,0,1,0,0,0
0,9,108,Horses,Sheep,0,1,0,0,0
0,9,104,Horses,Sheep,0,1,0,0,0
0,9,129,Horses,Sheep,0,1,0,0,0
0,9,64,Horses,Poultry,0,1,0,0,0
0,9,77,Horses,Poultry,0,1,0,0,0
0,9,70,Cattle,Poultry,1,0,0,0,0