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