@relation openml_task_250_predictions

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute confidence.1 numeric
@attribute confidence.2 numeric
@attribute confidence.3 numeric
@attribute confidence.4 numeric
@attribute confidence.5 numeric
@attribute confidence.6 numeric
@attribute confidence.7 numeric
@attribute confidence.8 numeric
@attribute confidence.9 numeric
@attribute confidence.10 numeric
@attribute prediction {1,2,3,4,5,6,7,8,9,10}
@attribute correct {1,2,3,4,5,6,7,8,9,10}

@data
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0,0,1713,0.110085,0.00721,0.058141,0.004887,0.024589,0.050169,0.002205,0,0.74,0.002714,9,9
0,0,309,0.003162,0.124179,0.105718,0.22703,0.005279,0.148811,0.001401,0.157381,0.010168,0.216872,4,2
0,0,337,0.000704,0.707262,0.054127,0.04764,0.018444,0.019642,0.003596,0.095083,0.003294,0.050207,2,2
0,0,962,0.068749,0.095912,0.051343,0.014226,0.354045,0.047694,0.00538,0.001603,0.344541,0.016507,5,5
0,0,798,0.006921,0.01176,0.011122,0.905658,0.003311,0.025375,0.005478,0.013446,0.011461,0.005466,4,4
0,0,1212,0.002105,0.001496,0.006317,0.003253,0.007327,0.034798,0.924248,0,0.020456,0,7,7
0,0,1731,0.001775,0.030185,0.029939,0.001605,0.004155,0.001021,0.002748,0,0.925607,0.002964,9,9
0,0,1717,0.013454,0.000565,0.013576,0.039815,0.281448,0.165099,0.343607,0.000521,0.138026,0.003889,7,9
0,0,1059,0.002592,0.086551,0.097495,0.187451,0.015656,0.473371,0.009361,0.028643,0.021449,0.077431,6,6
0,0,552,0.006924,0.120595,0.224403,0.166058,0.021441,0.100082,0.004102,0.153488,0.081976,0.120933,3,3
0,0,573,0.050129,0.017775,0.254915,0.008612,0.018101,0.003097,0.011555,0.01623,0.610772,0.008815,9,3
0,0,839,0.01133,0.039752,0.033221,0.017777,0.507116,0.046381,0.274719,0,0.059626,0.010078,5,5
0,0,795,0.009787,0.034837,0.017838,0.789145,0.025917,0.059758,0.008317,0.007402,0.014643,0.032356,4,4
0,0,461,0.004669,0.011954,0.810899,0.043447,0.014835,0.024134,0.008573,0.048819,0.011341,0.021328,3,3
0,0,926,0.000984,0.032145,0.000625,0.00087,0.9501,0.005914,0.008473,0,0.000466,0.000423,5,5
0,0,724,0.002144,0.013004,0.097966,0.321865,0.006866,0.057578,0.001771,0.108281,0.011086,0.379439,10,4
0,0,840,0.000984,0.032416,0.000082,0.000961,0.955512,0.005846,0.003514,0,0.000263,0.000423,5,5
0,0,350,0.00951,0.54837,0.047749,0.100221,0.033275,0.136764,0.021837,0.043096,0.026653,0.032526,2,2
0,0,89,0.906572,0.010716,0.008568,0.012942,0.008725,0.00239,0.000118,0,0.045475,0.004493,1,1
0,0,526,0.022664,0.039681,0.408453,0.00676,0.081854,0.050209,0.021265,0.233658,0.088694,0.046761,3,3
0,0,1620,0.085083,0.059772,0.061998,0.012281,0.12053,0.075401,0.088894,0.018331,0.453414,0.024296,9,9
0,0,717,0.001241,0.060774,0.029388,0.758817,0.00746,0.067264,0.000147,0.021869,0.007882,0.045159,4,4
0,0,364,0.021951,0.676883,0.023511,0.026744,0.045478,0.075027,0.014447,0.003678,0.059679,0.052601,2,2
0,0,1409,0.000044,0.015614,0.029514,0.010685,0.001176,0.005786,0.000153,0.907745,0.00087,0.028413,8,8
0,0,1980,0.005456,0.046705,0.112959,0.062483,0.00675,0.084272,0.000589,0.039261,0.032376,0.609149,10,10
0,0,856,0.034027,0.047083,0.042187,0.017533,0.727613,0.080589,0.005134,0.002753,0.03899,0.004092,5,5
0,0,1230,0.024101,0.000798,0.006016,0.010735,0.009058,0.028889,0.898637,0,0.021766,0,7,7
0,0,1107,0.001509,0.037669,0.018047,0.054857,0.006791,0.714705,0.011947,0.029131,0.01863,0.106713,6,6
0,0,232,0.008407,0.693912,0.039033,0.012781,0.028098,0.006572,0.00176,0.005619,0.192808,0.01101,2,2
0,0,1473,0.000654,0.018335,0.038969,0.032169,0.002324,0.087061,0,0.751717,0.012495,0.056277,8,8
0,0,1625,0.006604,0.054363,0.22964,0.041586,0.005175,0.060347,0.017596,0.04793,0.109593,0.427166,10,9
0,0,1767,0.003684,0.019171,0.045603,0.006099,0.006411,0.011073,0.024925,0.005208,0.872499,0.005326,9,9