@relation openml_task_3913_predictions

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute confidence.no numeric
@attribute confidence.yes numeric
@attribute prediction {no,yes}
@attribute correct {no,yes}

@data
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0,0,102,0.954187,0.045813,no,no
0,0,67,0.620303,0.379697,no,no
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0,0,26,0.448054,0.551946,yes,no
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0,0,72,0.954187,0.045813,no,no
0,0,85,0.497796,0.502204,yes,no
0,0,174,0.954187,0.045813,no,no
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0,0,182,0.944183,0.055817,no,no
0,0,47,0.954187,0.045813,no,no
0,0,417,0.354733,0.645267,yes,no
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0,0,255,0.954187,0.045813,no,no
0,0,49,0.954187,0.045813,no,no
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0,0,258,0.954187,0.045813,no,no
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0,0,109,0.954187,0.045813,no,no
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0,0,105,0.954187,0.045813,no,no
0,0,398,0.940977,0.059023,no,no
0,0,493,0.69694,0.30306,no,yes
0,0,466,0.287467,0.712533,yes,yes
0,0,453,0.66381,0.33619,no,yes
0,0,432,0.308961,0.691039,yes,yes
0,0,465,0.843434,0.156566,no,yes
0,0,501,0.879274,0.120726,no,yes
0,0,463,0.664154,0.335846,no,yes
0,0,469,0.463769,0.536231,yes,yes
0,0,442,0.436188,0.563812,yes,yes
0,0,443,0.599853,0.400147,no,yes
0,0,459,0.746784,0.253216,no,yes
0,1,32,0.741623,0.258377,no,no
0,1,254,0.93098,0.06902,no,no
0,1,324,0.524007,0.475993,no,no
0,1,138,0.93098,0.06902,no,no
0,1,123,0.93098,0.06902,no,no
0,1,288,0.938156,0.061844,no,no
0,1,291,0.93098,0.06902,no,no
0,1,93,0.93098,0.06902,no,no
0,1,303,0.93098,0.06902,no,no
0,1,420,0.553575,0.446425,no,no
0,1,106,0.788656,0.211344,no,no
0,1,117,0.93098,0.06902,no,no
0,1,56,0.929779,0.070221,no,no
0,1,247,0.93098,0.06902,no,no
0,1,305,0.93098,0.06902,no,no
0,1,346,0.93098,0.06902,no,no
0,1,9,0.93098,0.06902,no,no
0,1,347,0.93098,0.06902,no,no
0,1,218,0.93098,0.06902,no,no
0,1,377,0.878679,0.121321,no,no
0,1,406,0.93098,0.06902,no,no
0,1,282,0.61555,0.38445,no,no
0,1,416,0.524007,0.475993,no,no
0,1,280,0.93098,0.06902,no,no
0,1,219,0.93098,0.06902,no,no
0,1,29,0.93098,0.06902,no,no
0,1,208,0.929779,0.070221,no,no
0,1,257,0.93098,0.06902,no,no
0,1,90,0.93098,0.06902,no,no
0,1,239,0.93098,0.06902,no,no
0,1,276,0.93098,0.06902,no,no
0,1,16,0.715403,0.284597,no,no
0,1,316,0.93098,0.06902,no,no
0,1,75,0.93098,0.06902,no,no
0,1,252,0.93098,0.06902,no,no
0,1,103,0.93098,0.06902,no,no
0,1,278,0.93098,0.06902,no,no
0,1,234,0.93098,0.06902,no,no
0,1,39,0.767058,0.232942,no,no
0,1,192,0.93098,0.06902,no,no
0,1,380,0.93098,0.06902,no,no
0,1,25,0.93098,0.06902,no,no
0,1,454,0.483348,0.516652,yes,yes
0,1,431,0.623018,0.376982,no,yes
0,1,487,0.466679,0.533321,yes,yes
0,1,482,0.230283,0.769717,yes,yes
0,1,507,0.600866,0.399134,no,yes
0,1,467,0.600866,0.399134,no,yes
0,1,428,0.188116,0.811884,yes,yes
0,1,509,0.823029,0.176971,no,yes
0,1,3,0.214321,0.785679,yes,yes
0,1,483,0.611557,0.388443,no,yes
0,1,512,0.93098,0.06902,no,yes
0,2,191,0.935071,0.064929,no,no
0,2,401,0.935071,0.064929,no,no
0,2,392,0.408892,0.591108,yes,no
0,2,341,0.930708,0.069292,no,no
0,2,197,0.439959,0.560041,yes,no
0,2,28,0.906384,0.093616,no,no
0,2,365,0.547172,0.452828,no,no
0,2,160,0.728713,0.271287,no,no
0,2,139,0.930708,0.069292,no,no
0,2,339,0.854781,0.145219,no,no
0,2,351,0.935071,0.064929,no,no
0,2,320,0.935071,0.064929,no,no
0,2,342,0.935071,0.064929,no,no
0,2,363,0.182231,0.817769,yes,no
0,2,17,0.935071,0.064929,no,no
0,2,112,0.935071,0.064929,no,no
0,2,149,0.917396,0.082604,no,no
0,2,273,0.787929,0.212071,no,no
0,2,27,0.939244,0.060756,no,no
0,2,137,0.935071,0.064929,no,no
0,2,189,0.935071,0.064929,no,no
0,2,22,0.754056,0.245944,no,no
0,2,210,0.935071,0.064929,no,no
0,2,300,0.506361,0.493639,no,no
0,2,289,0.782173,0.217827,no,no
0,2,333,0.935091,0.064909,no,no
0,2,244,0.935071,0.064929,no,no
0,2,317,0.935071,0.064929,no,no
0,2,227,0.935071,0.064929,no,no
0,2,126,0.935071,0.064929,no,no
0,2,111,0.307704,0.692296,yes,no
0,2,66,0.617647,0.382353,no,no
0,2,373,0.727203,0.272797,no,no
0,2,88,0.70746,0.29254,no,no
0,2,368,0.522046,0.477954,no,no
0,2,302,0.935071,0.064929,no,no
0,2,115,0.935071,0.064929,no,no
0,2,286,0.54517,0.45483,no,no
0,2,310,0.935071,0.064929,no,no
0,2,212,0.935071,0.064929,no,no
0,2,65,0.931048,0.068952,no,no
0,2,309,0.935071,0.064929,no,no
0,2,5,0.362213,0.637787,yes,yes
0,2,495,0.405818,0.594182,yes,yes
0,2,450,0.635806,0.364194,no,yes
0,2,475,0.855528,0.144472,no,yes
0,2,498,0.673678,0.326322,no,yes
0,2,423,0.262214,0.737786,yes,yes
0,2,424,0.24324,0.75676,yes,yes
0,2,4,0.112136,0.887864,yes,yes
0,2,515,0.691556,0.308444,no,yes
0,2,2,0.20729,0.79271,yes,yes
0,3,298,0.246129,0.753871,yes,no
0,3,340,0.944842,0.055158,no,no
0,3,80,0.944842,0.055158,no,no
0,3,169,0.511185,0.488815,no,no
0,3,101,0.891551,0.108449,no,no
0,3,336,0.943619,0.056381,no,no
0,3,345,0.958651,0.041349,no,no
0,3,73,0.944842,0.055158,no,no
0,3,135,0.944842,0.055158,no,no
0,3,267,0.944842,0.055158,no,no
0,3,232,0.944842,0.055158,no,no
0,3,86,0.943619,0.056381,no,no
0,3,199,0.66581,0.33419,no,no
0,3,128,0.944842,0.055158,no,no
0,3,163,0.944842,0.055158,no,no
0,3,349,0.611811,0.388189,no,no
0,3,42,0.944842,0.055158,no,no
0,3,155,0.564787,0.435213,no,no
0,3,235,0.944842,0.055158,no,no
0,3,314,0.944842,0.055158,no,no
0,3,43,0.944842,0.055158,no,no
0,3,319,0.944842,0.055158,no,no
0,3,48,0.563154,0.436846,no,no
0,3,158,0.944842,0.055158,no,no
0,3,240,0.944842,0.055158,no,no
0,3,167,0.944842,0.055158,no,no
0,3,154,0.809276,0.190724,no,no
0,3,331,0.964079,0.035921,no,no
0,3,353,0.825412,0.174588,no,no
0,3,374,0.606087,0.393913,no,no
0,3,332,0.968537,0.031463,no,no
0,3,328,0.95216,0.04784,no,no
0,3,157,0.944842,0.055158,no,no
0,3,419,0.947466,0.052534,no,no
0,3,52,0.959317,0.040683,no,no
0,3,31,0.373552,0.626448,yes,no
0,3,178,0.964079,0.035921,no,no
0,3,375,0.549036,0.450964,no,no
0,3,395,0.815928,0.184072,no,no
0,3,8,0.943619,0.056381,no,no
0,3,95,0.943619,0.056381,no,no
0,3,394,0.529897,0.470103,no,no
0,3,503,0.908249,0.091751,no,yes
0,3,446,0.50736,0.49264,no,yes
0,3,477,0.640942,0.359058,no,yes
0,3,478,0.501699,0.498301,no,yes
0,3,489,0.523861,0.476139,no,yes
0,3,436,0.448022,0.551978,yes,yes
0,3,490,0.188915,0.811085,yes,yes
0,3,505,0.967305,0.032695,no,yes
0,3,499,0.578013,0.421987,no,yes
0,3,484,0.506015,0.493985,no,yes
0,4,238,0.943964,0.056036,no,no
0,4,46,0.943964,0.056036,no,no
0,4,283,0.942074,0.057926,no,no
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0,4,397,0.942749,0.057251,no,no
0,4,37,0.942749,0.057251,no,no
0,4,200,0.489296,0.510704,yes,no
0,4,274,0.943964,0.056036,no,no
0,4,222,0.943964,0.056036,no,no
0,4,281,0.943964,0.056036,no,no
0,4,410,0.943964,0.056036,no,no
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0,4,372,0.943964,0.056036,no,no
0,4,59,0.943964,0.056036,no,no
0,4,263,0.943964,0.056036,no,no
0,4,35,0.942749,0.057251,no,no
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0,4,327,0.785462,0.214538,no,no
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0,4,186,0.943964,0.056036,no,no
0,4,479,0.574968,0.425032,no,yes
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0,5,168,0.951686,0.048314,no,no
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0,5,0,0.652985,0.347015,no,no
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0,5,24,0.517115,0.482885,no,no
0,5,113,0.960375,0.039625,no,no
0,5,492,0.467019,0.532981,yes,yes
0,5,471,0.226977,0.773023,yes,yes
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0,5,441,0.475402,0.524598,yes,yes
0,5,451,0.159035,0.840965,yes,yes
0,5,464,0.821943,0.178057,no,yes
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0,5,445,0.530665,0.469335,no,yes
0,5,462,0.159035,0.840965,yes,yes
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0,6,385,0.94058,0.05942,no,no
0,6,36,0.480783,0.519217,yes,no
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0,6,21,0.94058,0.05942,no,no
0,6,170,0.810946,0.189054,no,no
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0,6,500,0.548284,0.451716,no,yes
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0,6,430,0.253729,0.746271,yes,yes
0,6,474,0.249819,0.750181,yes,yes
0,6,472,0.488691,0.511309,yes,yes
0,7,76,0.564231,0.435769,no,no
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