@relation openml_task_4001_predictions

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

@data
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0,1,29,0.395764,0.604236,N,Y
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0,2,200,0.345584,0.654416,N,N
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0,2,297,0.404033,0.595967,N,N
0,2,217,0.604578,0.395422,Y,N
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0,2,145,0.404033,0.595967,N,N
0,2,124,0.404033,0.595967,N,N
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0,2,150,0.404033,0.595967,N,N
0,2,199,0.345584,0.654416,N,N
0,2,157,0.520409,0.479591,Y,N
0,2,241,0.323522,0.676478,N,N
0,2,155,0.150993,0.849007,N,N
0,2,285,0.415102,0.584898,N,N
0,2,212,0.404033,0.595967,N,N
0,2,108,0.301569,0.698431,N,N
0,2,240,0.329889,0.670111,N,N
0,2,6,0.580933,0.419067,Y,Y
0,2,52,0.345584,0.654416,N,Y
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0,2,50,0.345584,0.654416,N,Y
0,2,78,0.345584,0.654416,N,Y
0,2,106,0.345584,0.654416,N,Y
0,2,61,0.100495,0.899505,N,Y
0,2,104,0.830704,0.169296,Y,Y
0,3,143,0.371644,0.628356,N,N
0,3,192,0.371644,0.628356,N,N
0,3,121,0.382417,0.617583,N,N
0,3,274,0.434752,0.565248,N,N
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0,3,293,0.434752,0.565248,N,N
0,3,271,0.434752,0.565248,N,N
0,3,171,0.227658,0.772342,N,N
0,3,291,0.278469,0.721531,N,N
0,3,184,0.20314,0.79686,N,N
0,3,147,0.371644,0.628356,N,N
0,3,311,0.214525,0.785475,N,N
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0,3,193,0.371644,0.628356,N,N
0,3,141,0.345798,0.654202,N,N
0,3,190,0.371644,0.628356,N,N
0,3,123,0.338412,0.661588,N,N
0,3,189,0.137505,0.862495,N,N
0,3,103,0.439428,0.560572,N,Y
0,3,69,0.434752,0.565248,N,Y
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0,3,91,0.434752,0.565248,N,Y
0,3,64,0.674678,0.325322,Y,Y
0,3,56,0.407363,0.592637,N,Y
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0,3,44,0.163903,0.836097,N,Y
0,3,84,0.228861,0.771139,N,Y
0,3,65,0.530162,0.469838,Y,Y
0,4,310,0.37386,0.62614,N,N
0,4,229,0.048946,0.951054,N,N
0,4,137,0.623833,0.376167,Y,N
0,4,127,0.320239,0.679761,N,N
0,4,140,0.37386,0.62614,N,N
0,4,259,0.103323,0.896677,N,N
0,4,214,0.37386,0.62614,N,N
0,4,115,0.37386,0.62614,N,N
0,4,196,0.200539,0.799461,N,N
0,4,111,0.643234,0.356766,Y,N
0,4,110,0.178481,0.821519,N,N
0,4,288,0.432026,0.567974,N,N
0,4,289,0.410068,0.589932,N,N
0,4,260,0.648683,0.351317,Y,N
0,4,246,0.399323,0.600677,N,N
0,4,278,0.399323,0.600677,N,N
0,4,272,0.205974,0.794026,N,N
0,4,317,0.765241,0.234759,Y,N
0,4,191,0.399323,0.600677,N,N
0,4,237,0.167903,0.832097,N,N
0,4,309,0.37386,0.62614,N,N
0,4,58,0.399323,0.600677,N,Y
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0,4,54,0.399323,0.600677,N,Y
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0,4,30,0.399323,0.600677,N,Y
0,4,22,0.262066,0.737934,N,Y
0,4,13,0.298681,0.701319,N,Y
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0,5,194,0.428032,0.571968,N,N
0,5,131,0.421011,0.578989,N,N
0,5,163,0.130711,0.869289,N,N
0,5,248,0.268523,0.731477,N,N
0,5,290,0.372249,0.627751,N,N
0,5,188,0.272583,0.727417,N,N
0,5,176,0.175513,0.824487,N,N
0,5,223,0.581774,0.418226,Y,N
0,5,209,0.272583,0.727417,N,N
0,5,292,0.330667,0.669333,N,N
0,5,226,0.604442,0.395558,Y,N
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0,5,114,0.461449,0.538551,N,N
0,5,156,0.237914,0.762086,N,N
0,5,239,0.357201,0.642799,N,N
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0,5,236,0.19217,0.80783,N,N
0,5,206,0.223895,0.776105,N,N
0,5,3,0.174566,0.825434,N,Y
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0,5,9,0.581774,0.418226,Y,Y
0,5,39,0.581774,0.418226,Y,Y
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0,5,81,0.31104,0.68896,N,Y
0,5,89,0.31104,0.68896,N,Y
0,5,33,0.581774,0.418226,Y,Y
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0,5,59,0.08466,0.91534,N,Y
0,5,87,0.237914,0.762086,N,Y
0,6,113,0.398539,0.601461,N,N
0,6,173,0.155144,0.844856,N,N
0,6,204,0.032465,0.967535,N,N
0,6,215,0.398539,0.601461,N,N
0,6,118,0.398539,0.601461,N,N
0,6,181,0.502478,0.497522,Y,N
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0,6,261,0.398539,0.601461,N,N
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0,7,232,0.307723,0.692277,N,N
0,7,245,0.567047,0.432953,Y,N
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0,7,222,0.223215,0.776785,N,N
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0,7,174,0.567047,0.432953,Y,N
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0,7,280,0.223215,0.776785,N,N
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0,7,130,0.359967,0.640033,N,N
0,7,177,0.369659,0.630341,N,N
0,7,265,0.223215,0.776785,N,N
0,7,185,0.165995,0.834005,N,N
0,7,139,0.359967,0.640033,N,N
0,7,208,0.165995,0.834005,N,N
0,7,262,0.280343,0.719657,N,N
0,7,247,0.307723,0.692277,N,N
0,7,101,0.165995,0.834005,N,Y
0,7,60,0.359967,0.640033,N,Y
0,7,37,0.556751,0.443249,Y,Y
0,7,12,0.556751,0.443249,Y,Y
0,7,79,0.534406,0.465594,Y,Y
0,7,53,0.223215,0.776785,N,Y
0,7,18,0.359967,0.640033,N,Y
0,7,5,0.60944,0.39056,Y,Y
0,7,72,0.359967,0.640033,N,Y
0,7,88,0.165995,0.834005,N,Y
0,7,8,0.280343,0.719657,N,Y
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0,8,279,0.370791,0.629209,N,N
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0,8,186,0.34681,0.65319,N,N
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0,8,153,0.177937,0.822063,N,N
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0,8,249,0.22513,0.77487,N,N
0,8,251,0.370791,0.629209,N,N
0,8,298,0.370791,0.629209,N,N
0,8,133,0.300509,0.699491,N,N
0,8,283,0.396131,0.603869,N,N
0,8,256,0.34681,0.65319,N,N
0,8,224,0.146796,0.853204,N,N
0,8,148,0.130577,0.869423,N,N
0,8,304,0.562233,0.437767,Y,N
0,8,117,0.182629,0.817371,N,N
0,8,169,0.146796,0.853204,N,N
0,8,243,0.182629,0.817371,N,N
0,8,135,0.34681,0.65319,N,N
0,8,235,0.360278,0.639722,N,N
0,8,70,0.34681,0.65319,N,Y
0,8,62,0.232814,0.767186,N,Y
0,8,100,0.251953,0.748047,N,Y
0,8,19,0.180183,0.819817,N,Y
0,8,92,0.370791,0.629209,N,Y
0,8,28,0.396131,0.603869,N,Y
0,8,7,0.086666,0.913334,N,Y
0,8,97,0.34681,0.65319,N,Y
0,8,21,0.180183,0.819817,N,Y
0,8,83,0.34681,0.65319,N,Y
0,8,105,0.34681,0.65319,N,Y
0,9,302,0.410381,0.589619,N,N
0,9,225,0.410393,0.589607,N,N
0,9,275,0.410381,0.589619,N,N
0,9,149,0.383438,0.616562,N,N
0,9,182,0.345432,0.654568,N,N
0,9,203,0.166057,0.833943,N,N
0,9,258,0.287266,0.712734,N,N
0,9,299,0.410381,0.589619,N,N
0,9,303,0.463004,0.536996,N,N
0,9,210,0.358824,0.641176,N,N
0,9,219,0.383438,0.616562,N,N
0,9,276,0.396417,0.603583,N,N
0,9,180,0.295849,0.704151,N,N
0,9,252,0.396417,0.603583,N,N
0,9,294,0.410381,0.589619,N,N
0,9,162,0.195627,0.804373,N,N
0,9,183,0.188162,0.811838,N,N
0,9,160,0.128017,0.871983,N,N
0,9,166,0.410381,0.589619,N,N
0,9,318,0.195627,0.804373,N,N
0,9,308,0.410381,0.589619,N,N
0,9,95,0.477343,0.522657,N,Y
0,9,90,0.383438,0.616562,N,Y
0,9,67,0.454653,0.545347,N,Y
0,9,32,0.454653,0.545347,N,Y
0,9,27,0.410381,0.589619,N,Y
0,9,80,0.383438,0.616562,N,Y
0,9,0,0.597733,0.402267,Y,Y
0,9,15,0.410381,0.589619,N,Y
0,9,43,0.420618,0.579382,N,Y
0,9,17,0.179458,0.820542,N,Y
0,9,75,0.272944,0.727056,N,Y