@relation openml_task_3734_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
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0,5,195,0.8537,0.1463,P,N
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0,5,457,0.271327,0.728673,N,N
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0,5,119,0.271326,0.728674,N,N
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0,5,390,0.271326,0.728674,N,P
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0,5,199,0.271326,0.728674,N,P
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0,5,37,0.271326,0.728674,N,P
0,5,232,0.8537,0.1463,P,P
0,5,400,0.8537,0.1463,P,P
0,5,68,0.271326,0.728674,N,P
0,5,401,0.8537,0.1463,P,P
0,5,24,0.8537,0.1463,P,P
0,5,392,0.753584,0.246416,P,P
0,5,35,0.8537,0.1463,P,P
0,5,399,0.271326,0.728674,N,P
0,6,324,0.289641,0.710359,N,N
0,6,31,0.289641,0.710359,N,N
0,6,273,0.289643,0.710357,N,N
0,6,182,0.312368,0.687632,N,N
0,6,104,0.289641,0.710359,N,N
0,6,227,0.289641,0.710359,N,N
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0,6,159,0.289641,0.710359,N,N
0,6,428,0.290237,0.709763,N,N
0,6,121,0.319727,0.680273,N,N
0,6,66,0.289641,0.710359,N,N
0,6,466,0.289641,0.710359,N,N
0,6,211,0.289641,0.710359,N,N
0,6,46,0.289884,0.710116,N,N
0,6,54,0.289641,0.710359,N,N
0,6,393,0.289641,0.710359,N,N
0,6,316,0.289641,0.710359,N,N
0,6,11,0.289641,0.710359,N,N
0,6,468,0.309588,0.690412,N,N
0,6,4,0.289641,0.710359,N,N
0,6,8,0.289641,0.710359,N,N
0,6,403,0.843251,0.156749,P,N
0,6,358,0.383449,0.616551,N,N
0,6,146,0.289641,0.710359,N,N
0,6,240,0.289641,0.710359,N,N
0,6,342,0.289641,0.710359,N,N
0,6,75,0.787861,0.212139,P,N
0,6,52,0.843236,0.156764,P,P
0,6,64,0.842999,0.157001,P,P
0,6,357,0.333748,0.666252,N,P
0,6,375,0.843251,0.156749,P,P
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0,6,206,0.289641,0.710359,N,P
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0,6,439,0.843248,0.156752,P,P
0,6,303,0.840512,0.159488,P,P
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0,7,70,0.265407,0.734593,N,N
0,7,436,0.265407,0.734593,N,N
0,7,485,0.265464,0.734536,N,N
0,7,162,0.265407,0.734593,N,N
0,7,10,0.300429,0.699571,N,N
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0,7,314,0.265423,0.734577,N,N
0,7,191,0.266174,0.733826,N,N
0,7,188,0.36702,0.63298,N,N
0,7,459,0.265407,0.734593,N,N
0,7,464,0.838028,0.161972,P,N
0,7,370,0.265407,0.734593,N,N
0,7,300,0.679613,0.320387,P,N
0,7,247,0.265407,0.734593,N,N
0,7,451,0.28497,0.71503,N,N
0,7,243,0.265473,0.734527,N,N
0,7,287,0.296132,0.703868,N,N
0,7,140,0.838028,0.161972,P,N
0,7,163,0.265407,0.734593,N,N
0,7,203,0.265407,0.734593,N,N
0,7,117,0.503221,0.496779,P,N
0,7,97,0.265407,0.734593,N,N
0,7,48,0.265459,0.734541,N,N
0,7,50,0.265407,0.734593,N,N
0,7,378,0.837088,0.162912,P,P
0,7,284,0.809257,0.190743,P,P
0,7,260,0.838028,0.161972,P,P
0,7,359,0.812432,0.187568,P,P
0,7,33,0.838013,0.161987,P,P
0,7,296,0.816971,0.183029,P,P
0,7,494,0.838028,0.161972,P,P
0,7,270,0.838028,0.161972,P,P
0,7,415,0.83802,0.16198,P,P
0,7,246,0.838027,0.161973,P,P
0,7,89,0.316983,0.683017,N,P
0,7,59,0.833545,0.166455,P,P
0,7,13,0.265407,0.734593,N,P
0,7,235,0.838028,0.161972,P,P
0,7,184,0.838028,0.161972,P,P
0,7,151,0.838028,0.161972,P,P
0,7,473,0.838028,0.161972,P,P
0,7,321,0.265407,0.734593,N,P
0,7,272,0.838026,0.161974,P,P
0,7,197,0.265407,0.734593,N,P
0,7,77,0.838028,0.161972,P,P
0,7,460,0.838025,0.161975,P,P
0,7,145,0.812654,0.187346,P,P
0,7,19,0.838028,0.161972,P,P
0,8,216,0.275477,0.724523,N,N
0,8,441,0.275596,0.724404,N,N
0,8,268,0.844802,0.155198,P,N
0,8,353,0.275477,0.724523,N,N
0,8,384,0.275477,0.724523,N,N
0,8,409,0.275477,0.724523,N,N
0,8,298,0.27559,0.72441,N,N
0,8,95,0.275477,0.724523,N,N
0,8,132,0.275477,0.724523,N,N
0,8,133,0.275477,0.724523,N,N
0,8,294,0.844802,0.155198,P,N
0,8,9,0.275477,0.724523,N,N
0,8,210,0.275477,0.724523,N,N
0,8,183,0.276555,0.723445,N,N
0,8,2,0.275477,0.724523,N,N
0,8,79,0.275477,0.724523,N,N
0,8,315,0.844802,0.155198,P,N
0,8,275,0.275477,0.724523,N,N
0,8,5,0.275477,0.724523,N,N
0,8,158,0.844802,0.155198,P,N
0,8,366,0.275477,0.724523,N,N
0,8,257,0.275477,0.724523,N,N
0,8,237,0.275477,0.724523,N,N
0,8,327,0.524253,0.475747,P,N
0,8,178,0.275477,0.724523,N,N
0,8,0,0.275477,0.724523,N,N
0,8,455,0.619434,0.380566,P,P
0,8,431,0.830643,0.169357,P,P
0,8,101,0.844802,0.155198,P,P
0,8,343,0.844802,0.155198,P,P
0,8,112,0.844802,0.155198,P,P
0,8,53,0.844332,0.155668,P,P
0,8,241,0.749959,0.250041,P,P
0,8,394,0.84449,0.15551,P,P
0,8,426,0.275477,0.724523,N,P
0,8,406,0.844649,0.155351,P,P
0,8,88,0.275477,0.724523,N,P
0,8,61,0.275477,0.724523,N,P
0,8,239,0.844799,0.155201,P,P
0,8,462,0.844802,0.155198,P,P
0,8,432,0.844802,0.155198,P,P
0,8,469,0.844435,0.155565,P,P
0,8,169,0.844802,0.155198,P,P
0,8,74,0.844802,0.155198,P,P
0,8,391,0.842562,0.157438,P,P
0,8,461,0.844773,0.155227,P,P
0,8,499,0.844802,0.155198,P,P
0,8,271,0.844802,0.155198,P,P
0,8,414,0.275477,0.724523,N,P
0,8,116,0.69792,0.30208,P,P
0,9,427,0.572431,0.427569,P,N
0,9,293,0.301703,0.698297,N,N
0,9,440,0.23685,0.76315,N,N
0,9,253,0.241369,0.758631,N,N
0,9,470,0.844743,0.155257,P,N
0,9,6,0.236818,0.763182,N,N
0,9,222,0.236817,0.763183,N,N
0,9,369,0.239231,0.760769,N,N
0,9,355,0.556135,0.443865,P,N
0,9,446,0.844743,0.155257,P,N
0,9,15,0.236817,0.763183,N,N
0,9,444,0.236856,0.763144,N,N
0,9,144,0.844743,0.155257,P,N
0,9,312,0.236817,0.763183,N,N
0,9,179,0.844743,0.155257,P,N
0,9,252,0.844743,0.155257,P,N
0,9,304,0.236817,0.763183,N,N
0,9,368,0.236819,0.763181,N,N
0,9,181,0.469345,0.530655,N,N
0,9,458,0.236817,0.763183,N,N
0,9,255,0.299487,0.700513,N,N
0,9,265,0.236817,0.763183,N,N
0,9,147,0.237535,0.762465,N,N
0,9,437,0.236817,0.763183,N,N
0,9,92,0.236817,0.763183,N,N
0,9,279,0.236823,0.763177,N,N
0,9,67,0.836605,0.163395,P,P
0,9,372,0.815759,0.184241,P,P
0,9,194,0.844487,0.155513,P,P
0,9,115,0.236817,0.763183,N,P
0,9,338,0.758969,0.241031,P,P
0,9,57,0.844743,0.155257,P,P
0,9,333,0.844743,0.155257,P,P
0,9,266,0.844743,0.155257,P,P
0,9,387,0.236817,0.763183,N,P
0,9,277,0.844743,0.155257,P,P
0,9,118,0.844737,0.155263,P,P
0,9,331,0.844743,0.155257,P,P
0,9,487,0.844743,0.155257,P,P
0,9,136,0.844743,0.155257,P,P
0,9,289,0.236817,0.763183,N,P
0,9,187,0.236817,0.763183,N,P
0,9,127,0.844743,0.155257,P,P
0,9,341,0.236817,0.763183,N,P
0,9,410,0.844741,0.155259,P,P
0,9,263,0.843632,0.156368,P,P
0,9,245,0.844743,0.155257,P,P
0,9,103,0.236817,0.763183,N,P
0,9,267,0.236817,0.763183,N,P
0,9,360,0.844743,0.155257,P,P