@relation openml_task_3501_predictions

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute confidence.0<=WhiteClover-94<8.8225 numeric
@attribute confidence.8.8225<=WhiteClover-94<17.645 numeric
@attribute confidence.17.645<=WhiteClover-94<26.4675 numeric
@attribute confidence.26.4675<=WhiteClover-94<=35.29 numeric
@attribute prediction {0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645,17.645<=WhiteClover-94<26.4675,26.4675<=WhiteClover-94<=35.29}
@attribute correct {0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645,17.645<=WhiteClover-94<26.4675,26.4675<=WhiteClover-94<=35.29}

@data
0,0,55,0.999897,0.000102,0.000001,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,0,9,0.033088,0.966651,0.000261,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,0,21,1,0,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,0,52,0.999993,0.000007,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,0,43,0.019937,0.980063,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,0,24,0.003309,0.996691,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,0,18,0.00011,0.999528,0.000362,0,8.8225<=WhiteClover-94<17.645,17.645<=WhiteClover-94<26.4675
0,1,26,0.994861,0.005138,0.000001,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,1,7,0.930589,0.069411,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,1,53,0.000004,0.999996,0,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,1,44,1,0,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,1,10,0.016672,0.983328,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,1,16,0.000019,0.999981,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,1,17,0,0,1,0,17.645<=WhiteClover-94<26.4675,17.645<=WhiteClover-94<26.4675
0,2,8,0.025071,0.974929,0,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,2,62,0.999782,0.000218,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,2,34,0.892635,0.107365,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,2,4,0.945633,0.054367,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,2,42,0.954242,0.045753,0.000005,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,2,39,0,1,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,2,45,0.777391,0.002869,0.21974,0,0<=WhiteClover-94<8.8225,17.645<=WhiteClover-94<26.4675
0,3,20,0.010616,0.989384,0,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,3,60,0.97618,0.02382,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,3,51,0.935103,0.064897,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,3,11,0.998262,0.001738,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,3,48,0.983601,0.016398,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,3,32,0.046756,0.953244,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,4,14,0.850841,0.148023,0.001136,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,4,50,0.999998,0.000002,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,4,36,0.998887,0.001113,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,4,1,0.979805,0.020195,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,4,41,0.957521,0.037634,0.004845,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,4,47,0.002087,0.997912,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,5,31,0.687661,0.312339,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,5,3,0.999738,0.000262,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,5,27,0.997113,0.002887,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,5,5,0.224282,0.000055,0.775664,0,17.645<=WhiteClover-94<26.4675,0<=WhiteClover-94<8.8225
0,5,22,0.906548,0.093452,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,5,46,0.988152,0.011848,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,6,28,0.999999,0.000001,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,6,19,0.14924,0.850236,0.000524,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,6,35,0.999981,0.000019,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,6,29,0.999895,0.000002,0.000103,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,6,57,0.99332,0.00668,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,6,13,0.246745,0.753255,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,7,6,1,0,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,7,59,0.983021,0.016979,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,7,54,1,0,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,7,2,0.992812,0.007188,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,7,49,0.004095,0.995905,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,7,33,0.999996,0.000004,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,8,15,0.000004,0.999996,0,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,8,30,0.107811,0.892189,0,0,8.8225<=WhiteClover-94<17.645,0<=WhiteClover-94<8.8225
0,8,58,0.996203,0.003797,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,8,38,0.586366,0.413634,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,8,40,0.000849,0.999151,0,0,8.8225<=WhiteClover-94<17.645,8.8225<=WhiteClover-94<17.645
0,8,12,0.14278,0.85722,0,0,8.8225<=WhiteClover-94<17.645,26.4675<=WhiteClover-94<=35.29
0,9,56,0.999948,0.000052,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,9,25,1,0,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,9,23,0.999995,0.000005,0,0,0<=WhiteClover-94<8.8225,0<=WhiteClover-94<8.8225
0,9,37,0.999731,0.000269,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,9,61,0.882461,0.117539,0,0,0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645
0,9,0,0.937079,0.062921,0,0,0<=WhiteClover-94<8.8225,17.645<=WhiteClover-94<26.4675