% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.11.2.
% SciPy_0.18.1.
% Wed Mar 15 04:16:31 2017
% Created by run_task()
@RELATION openml_task_145677_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.0 NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE prediction {0, 1}
@ATTRIBUTE correct {0, 1}

@DATA
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0,9,773,0.11608,0.88392,1,1
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0,9,3142,0.463992,0.536008,1,1
0,9,1816,0.237219,0.762781,1,1
0,9,3123,0.147208,0.852792,1,1
0,9,3063,0.761702,0.238298,0,1
0,9,2843,0.463958,0.536042,1,1
0,9,3277,0.12982,0.87018,1,1
0,9,2830,0.312531,0.687469,1,1
0,9,3094,0.123548,0.876452,1,1
0,9,2319,0.142562,0.857438,1,1
0,9,1534,0.153523,0.846477,1,1
0,9,1263,0.217172,0.782828,1,1
0,9,2976,0.164911,0.835089,1,1
0,9,1993,0.159104,0.840896,1,1
0,9,1900,0.175218,0.824782,1,1
0,9,61,0.75888,0.24112,0,1
0,9,2492,0.813626,0.186374,0,1
0,9,3089,0.175037,0.824963,1,1
0,9,1027,0.251643,0.748357,1,1
0,9,612,0.180121,0.819879,1,1
0,9,1690,0.55372,0.44628,0,1
0,9,2953,0.863704,0.136296,0,1
0,9,655,0.101744,0.898256,1,1
0,9,1986,0.101717,0.898283,1,1
0,9,2160,0.132329,0.867671,1,1
0,9,585,0.137521,0.862479,1,1
0,9,1003,0.117573,0.882427,1,1
0,9,645,0.0939921,0.906008,1,1
0,9,706,0.109933,0.890067,1,1
0,9,3695,0.174324,0.825676,1,1
0,9,3250,0.215026,0.784974,1,1
0,9,1,0.1112,0.8888,1,1
0,9,2826,0.149781,0.850219,1,1
0,9,2919,0.194037,0.805963,1,1
0,9,1217,0.181563,0.818437,1,1
0,9,2577,0.645984,0.354016,0,1
0,9,151,0.221405,0.778595,1,1
0,9,3599,0.176423,0.823577,1,1
0,9,3749,0.193619,0.806381,1,1
0,9,2380,0.0978581,0.902142,1,1
0,9,1599,0.175974,0.824026,1,1
0,9,2615,0.152198,0.847802,1,1
0,9,3528,0.798747,0.201253,0,1
0,9,3715,0.175326,0.824674,1,1
0,9,426,0.140615,0.859385,1,1
0,9,1821,0.61732,0.38268,0,1
0,9,2483,0.496409,0.503591,1,1
0,9,1667,0.155073,0.844927,1,1
0,9,838,0.441945,0.558055,1,1
0,9,2974,0.152215,0.847785,1,1
0,9,3511,0.237948,0.762052,1,1
0,9,1202,0.279016,0.720984,1,1
0,9,1100,0.267153,0.732847,1,1
0,9,38,0.676597,0.323403,0,1
0,9,888,0.195979,0.804021,1,1
0,9,2165,0.37348,0.62652,1,1
0,9,2387,0.204156,0.795844,1,1
0,9,2069,0.135974,0.864026,1,1
0,9,12,0.525084,0.474916,0,1
0,9,412,0.132268,0.867732,1,1
0,9,214,0.21582,0.78418,1,1
0,9,2232,0.2558,0.7442,1,1
0,9,1503,0.206341,0.793659,1,1
0,9,3464,0.244819,0.755181,1,1
0,9,3513,0.144425,0.855575,1,1
0,9,576,0.207381,0.792619,1,1
0,9,896,0.268173,0.731827,1,1
0,9,568,0.0936803,0.90632,1,1
0,9,3530,0.119393,0.880607,1,1
0,9,1409,0.0985089,0.901491,1,1
0,9,1170,0.427075,0.572925,1,1
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0,9,1165,0.150614,0.849386,1,1
0,9,3273,0.349553,0.650447,1,1
0,9,170,0.166853,0.833147,1,1
0,9,643,0.877922,0.122078,0,1
0,9,1554,0.454749,0.545251,1,1
0,9,1921,0.222072,0.777928,1,1
0,9,3555,0.203651,0.796349,1,1
0,9,82,0.226171,0.773829,1,1
0,9,910,0.109485,0.890515,1,1
0,9,2098,0.27981,0.72019,1,1
0,9,1353,0.0989937,0.901006,1,1
0,9,1542,0.178969,0.821031,1,1
0,9,2969,0.122154,0.877846,1,1
0,9,454,0.148432,0.851568,1,1
0,9,1344,0.256908,0.743092,1,1
0,9,3730,0.871683,0.128317,0,1
0,9,707,0.171223,0.828777,1,1
0,9,3371,0.101127,0.898873,1,1
0,9,1175,0.124376,0.875624,1,1
0,9,1334,0.116233,0.883767,1,1
0,9,3487,0.185996,0.814004,1,1
0,9,775,0.131124,0.868876,1,1
0,9,1769,0.9006,0.0994004,0,1
0,9,604,0.190371,0.809629,1,1
0,9,1583,0.162304,0.837696,1,1
0,9,1130,0.104787,0.895213,1,1
0,9,2829,0.226377,0.773623,1,1
0,9,1817,0.309954,0.690046,1,1
0,9,3310,0.270833,0.729167,1,1
0,9,441,0.148128,0.851872,1,1
0,9,3206,0.668599,0.331401,0,1
0,9,3429,0.149804,0.850196,1,1
0,9,3330,0.368975,0.631025,1,1
0,9,691,0.73937,0.26063,0,1
0,9,2507,0.512918,0.487082,0,1
0,9,2996,0.167946,0.832054,1,1
0,9,2049,0.11059,0.88941,1,1
0,9,1527,0.233972,0.766028,1,1
0,9,566,0.657542,0.342458,0,1
0,9,2638,0.239933,0.760067,1,1
0,9,1411,0.61826,0.38174,0,1
0,9,2248,0.780268,0.219732,0,1
0,9,624,0.219565,0.780435,1,1
0,9,654,0.265505,0.734495,1,1
0,9,1685,0.239365,0.760635,1,1
0,9,1306,0.737468,0.262532,0,1
0,9,3452,0.150746,0.849254,1,1
0,9,105,0.279332,0.720668,1,1
0,9,846,0.216396,0.783604,1,1
0,9,2791,0.184741,0.815259,1,1
0,9,236,0.639203,0.360797,0,1
0,9,1277,0.220813,0.779187,1,1
0,9,1021,0.426066,0.573934,1,1
0,9,1764,0.83059,0.16941,0,1
0,9,2549,0.247184,0.752816,1,1
0,9,3539,0.129744,0.870256,1,1
0,9,504,0.124023,0.875977,1,1
0,9,141,0.577893,0.422107,0,1
0,9,3485,0.295794,0.704206,1,1
0,9,2664,0.155312,0.844688,1,1
0,9,2116,0.773813,0.226187,0,1
0,9,1110,0.315393,0.684607,1,1
0,9,3081,0.123195,0.876805,1,1
0,9,2706,0.207843,0.792157,1,1
0,9,3406,0.463214,0.536786,1,1
0,9,2316,0.512773,0.487227,0,1
0,9,3375,0.367281,0.632719,1,1
0,9,1401,0.200884,0.799116,1,1
0,9,536,0.103016,0.896984,1,1
0,9,1683,0.103515,0.896485,1,1
0,9,2198,0.184099,0.815901,1,1
0,9,3689,0.822988,0.177012,0,1
0,9,1675,0.775686,0.224314,0,1
0,9,599,0.447802,0.552198,1,1
0,9,1197,0.0991053,0.900895,1,1
0,9,18,0.735188,0.264812,0,1
0,9,1956,0.351251,0.648749,1,1
0,9,1225,0.258329,0.741671,1,1
0,9,2714,0.472675,0.527325,1,1
0,9,2184,0.159518,0.840482,1,1
0,9,1766,0.122059,0.877941,1,1
0,9,1662,0.545595,0.454405,0,1
0,9,45,0.130579,0.869421,1,1
0,9,3728,0.139492,0.860508,1,1
0,9,2565,0.76713,0.23287,0,1
0,9,2301,0.100311,0.899689,1,1
0,9,2416,0.332595,0.667405,1,1
0,9,2612,0.655112,0.344888,0,1
0,9,286,0.300021,0.699979,1,1
0,9,2227,0.191423,0.808577,1,1
0,9,14,0.232959,0.767041,1,1
0,9,1863,0.844134,0.155866,0,1
0,9,2075,0.707738,0.292262,0,1
0,9,3480,0.162507,0.837493,1,1
0,9,1972,0.159571,0.840429,1,1
0,9,1730,0.500727,0.499273,0,1
0,9,2593,0.687609,0.312391,0,1
0,9,3121,0.785916,0.214084,0,1
0,9,2153,0.612124,0.387876,0,1
0,9,2324,0.824853,0.175147,0,1
0,9,3228,0.102387,0.897613,1,1
0,9,2465,0.108658,0.891342,1,1
0,9,1540,0.0949951,0.905005,1,1
0,9,1037,0.103579,0.896421,1,1
0,9,1832,0.262999,0.737001,1,1
0,9,3688,0.239995,0.760005,1,1
0,9,2177,0.683461,0.316539,0,1
0,9,1125,0.159039,0.840961,1,1
0,9,2341,0.1552,0.8448,1,1
0,9,1978,0.235401,0.764599,1,1
0,9,727,0.416137,0.583863,1,1
0,9,3448,0.701295,0.298705,0,1
% 
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