@relation openml_task_3647_predictions

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute confidence.P numeric
@attribute confidence.N numeric
@attribute prediction {P,N}
@attribute correct {P,N}

@data
0,0,4,0.481818,0.518182,N,N
0,0,99,0.481818,0.518182,N,N
0,0,16,0.481818,0.518182,N,N
0,0,85,0.481818,0.518182,N,N
0,0,49,0.481818,0.518182,N,N
0,0,100,0.481818,0.518182,N,N
0,0,5,0.481818,0.518182,N,N
0,0,70,0.481818,0.518182,N,P
0,0,42,0.481818,0.518182,N,P
0,0,69,0.481818,0.518182,N,P
0,0,10,0.481818,0.518182,N,P
0,0,89,0.481818,0.518182,N,P
0,1,39,0.481818,0.518182,N,N
0,1,76,0.481818,0.518182,N,N
0,1,84,0.481818,0.518182,N,N
0,1,61,0.481818,0.518182,N,N
0,1,88,0.481818,0.518182,N,N
0,1,65,0.481818,0.518182,N,N
0,1,15,0.481818,0.518182,N,N
0,1,93,0.481818,0.518182,N,P
0,1,46,0.481818,0.518182,N,P
0,1,20,0.481818,0.518182,N,P
0,1,71,0.481818,0.518182,N,P
0,1,92,0.481818,0.518182,N,P
0,2,63,0.481818,0.518182,N,N
0,2,36,0.481818,0.518182,N,N
0,2,108,0.481818,0.518182,N,N
0,2,60,0.481818,0.518182,N,N
0,2,8,0.481818,0.518182,N,N
0,2,1,0.481818,0.518182,N,N
0,2,0,0.481818,0.518182,N,N
0,2,117,0.481818,0.518182,N,P
0,2,54,0.481818,0.518182,N,P
0,2,22,0.481818,0.518182,N,P
0,2,83,0.481818,0.518182,N,P
0,2,23,0.481818,0.518182,N,P
0,3,24,0.472727,0.527273,N,N
0,3,75,0.472727,0.527273,N,N
0,3,7,0.472727,0.527273,N,N
0,3,110,0.472727,0.527273,N,N
0,3,30,0.472727,0.527273,N,N
0,3,18,0.472727,0.527273,N,N
0,3,67,0.472727,0.527273,N,P
0,3,58,0.472727,0.527273,N,P
0,3,21,0.472727,0.527273,N,P
0,3,31,0.472727,0.527273,N,P
0,3,44,0.472727,0.527273,N,P
0,3,116,0.472727,0.527273,N,P
0,4,97,0.472727,0.527273,N,N
0,4,12,0.472727,0.527273,N,N
0,4,98,0.472727,0.527273,N,N
0,4,53,0.472727,0.527273,N,N
0,4,86,0.472727,0.527273,N,N
0,4,64,0.472727,0.527273,N,N
0,4,34,0.472727,0.527273,N,P
0,4,66,0.472727,0.527273,N,P
0,4,80,0.472727,0.527273,N,P
0,4,55,0.472727,0.527273,N,P
0,4,105,0.472727,0.527273,N,P
0,4,68,0.472727,0.527273,N,P
0,5,19,0.472727,0.527273,N,N
0,5,26,0.472727,0.527273,N,N
0,5,112,0.472727,0.527273,N,N
0,5,96,0.472727,0.527273,N,N
0,5,6,0.472727,0.527273,N,N
0,5,52,0.472727,0.527273,N,N
0,5,114,0.472727,0.527273,N,P
0,5,113,0.472727,0.527273,N,P
0,5,91,0.472727,0.527273,N,P
0,5,103,0.472727,0.527273,N,P
0,5,115,0.472727,0.527273,N,P
0,5,95,0.472727,0.527273,N,P
0,6,62,0.472727,0.527273,N,N
0,6,50,0.472727,0.527273,N,N
0,6,17,0.472727,0.527273,N,N
0,6,27,0.472727,0.527273,N,N
0,6,109,0.472727,0.527273,N,N
0,6,14,0.472727,0.527273,N,N
0,6,101,0.472727,0.527273,N,P
0,6,56,0.472727,0.527273,N,P
0,6,35,0.472727,0.527273,N,P
0,6,32,0.472727,0.527273,N,P
0,6,78,0.472727,0.527273,N,P
0,6,47,0.472727,0.527273,N,P
0,7,13,0.472727,0.527273,N,N
0,7,28,0.472727,0.527273,N,N
0,7,38,0.472727,0.527273,N,N
0,7,2,0.472727,0.527273,N,N
0,7,87,0.472727,0.527273,N,N
0,7,25,0.472727,0.527273,N,N
0,7,59,0.472727,0.527273,N,P
0,7,107,0.472727,0.527273,N,P
0,7,45,0.472727,0.527273,N,P
0,7,94,0.472727,0.527273,N,P
0,7,102,0.472727,0.527273,N,P
0,7,118,0.472727,0.527273,N,P
0,8,41,0.472727,0.527273,N,N
0,8,48,0.472727,0.527273,N,N
0,8,3,0.472727,0.527273,N,N
0,8,73,0.472727,0.527273,N,N
0,8,37,0.472727,0.527273,N,N
0,8,29,0.472727,0.527273,N,N
0,8,82,0.472727,0.527273,N,P
0,8,81,0.472727,0.527273,N,P
0,8,90,0.472727,0.527273,N,P
0,8,106,0.472727,0.527273,N,P
0,8,33,0.472727,0.527273,N,P
0,8,79,0.472727,0.527273,N,P
0,9,51,0.472727,0.527273,N,N
0,9,9,0.472727,0.527273,N,N
0,9,74,0.472727,0.527273,N,N
0,9,72,0.472727,0.527273,N,N
0,9,40,0.472727,0.527273,N,N
0,9,111,0.472727,0.527273,N,N
0,9,11,0.472727,0.527273,N,P
0,9,119,0.472727,0.527273,N,P
0,9,104,0.472727,0.527273,N,P
0,9,43,0.472727,0.527273,N,P
0,9,57,0.472727,0.527273,N,P
0,9,77,0.472727,0.527273,N,P