% Python_3.6.9.
% Sklearn_0.21.2.
% NumPy_1.18.1.
% SciPy_1.4.1.
% Tue Mar  3 16:19:52 2020
% Created by run_task()
@RELATION openml_task_2273_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.moa.WEKAClassifier_J48(1) NUMERIC
@ATTRIBUTE confidence.moa.WEKAClassifier_REPTree(1) NUMERIC
@ATTRIBUTE confidence.moa.WEKAClassifier_OneR(1) NUMERIC
@ATTRIBUTE confidence.moa.WEKAClassifier_SMO_PolyKernel(1) NUMERIC
@ATTRIBUTE prediction {moa.WEKAClassifier_J48(1), moa.WEKAClassifier_REPTree(1), moa.WEKAClassifier_OneR(1), moa.WEKAClassifier_SMO_PolyKernel(1)}
@ATTRIBUTE correct {moa.WEKAClassifier_J48(1), moa.WEKAClassifier_REPTree(1), moa.WEKAClassifier_OneR(1), moa.WEKAClassifier_SMO_PolyKernel(1)}

@DATA
0,0,0,39,0.90540653,0.018970303,0.015524559,0.06009863,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,0,0,51,0.0057578757,0.0021443483,0.0017451727,0.9903526,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,0,0,26,0.39502722,0.018974207,0.014996906,0.5710017,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,0,0,69,0.34800923,0.030829873,0.021864569,0.59929633,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,0,0,16,0.0037303774,0.009933955,0.0031539032,0.9831818,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,0,0,50,0.024709348,0.026205229,0.04869816,0.9003872,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,0,0,70,0.29767698,0.088769004,0.1747283,0.43882576,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,0,0,62,0.007953479,0.011283477,0.019709941,0.96105313,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_REPTree(1)
0,1,0,52,0.0086222105,0.0021108862,0.002620006,0.9866469,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,1,0,4,0.09834517,0.006145263,0.0055764145,0.88993317,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,1,0,28,0.010750112,0.007976959,0.007270634,0.97400224,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,1,0,9,0.014676938,0.0025214972,0.0017951479,0.9810064,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,1,0,35,0.043305498,0.008574737,0.0038963626,0.9442234,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,1,0,46,0.764229,0.011446813,0.015647199,0.20867698,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,1,0,68,0.114878476,0.04706639,0.37945786,0.45859727,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,1,0,47,0.14816952,0.009157539,0.008047591,0.8346253,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_REPTree(1)
0,2,0,60,0.025299953,0.0013239069,0.0013867534,0.97198945,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,2,0,17,0.002855759,0.0017821119,0.0011020175,0.9942601,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,2,0,67,0.7840672,0.04922042,0.019329164,0.1473832,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,2,0,15,0.062009223,0.28789195,0.24245194,0.40764692,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,2,0,71,0.020641543,0.0011535975,0.001713366,0.9764915,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,2,0,22,0.55479646,0.017289853,0.025511924,0.40240175,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,2,0,19,0.38258564,0.009854898,0.25881505,0.34874442,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,2,0,14,0.0029404678,0.0029172704,0.0030593586,0.9910829,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_REPTree(1)
0,3,0,38,0.0028283182,0.0025533163,0.0013272872,0.993291,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,3,0,30,0.6501883,0.11680526,0.066800475,0.16620594,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,3,0,59,0.019535325,0.007344333,0.0043291724,0.9687912,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,3,0,2,0.0033463456,0.0014924962,0.0012622775,0.99389887,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,3,0,21,0.45313382,0.08262144,0.27191842,0.19232635,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,3,0,73,0.0043693567,0.0015689653,0.0012669641,0.9927947,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,3,0,18,0.7162833,0.050284293,0.08958729,0.14384513,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,3,0,20,0.9458432,0.02211557,0.014628028,0.017413193,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_REPTree(1)
0,4,0,40,0.019002052,0.013628795,0.0053103487,0.9620588,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,4,0,72,0.09191522,0.025109213,0.018830357,0.8641453,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,4,0,12,0.0071934783,0.0032794173,0.0020966604,0.98743045,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,4,0,56,0.02271474,0.0033321863,0.0023968804,0.97155625,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,4,0,29,0.014544556,0.0030376879,0.0012451056,0.9811726,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,4,0,3,0.24319269,0.08025491,0.022834513,0.6537179,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,4,0,37,0.07787783,0.03778706,0.012824903,0.8715102,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,5,0,5,0.0055171424,0.004390146,0.002133543,0.98795915,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,5,0,58,0.007071947,0.008589954,0.0032077306,0.9811304,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,5,0,0,0.0027658402,0.0053805583,0.0021517626,0.98970187,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,5,0,31,0.0029546171,0.009731671,0.004210219,0.9831035,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,5,0,57,0.20371784,0.001962584,0.002071735,0.7922479,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,5,0,61,0.5850087,0.0025972193,0.0037612584,0.4086328,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,5,0,55,0.8155015,0.0069903773,0.0943595,0.083148666,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,6,0,54,0.007799926,0.010689462,0.0024535086,0.9790571,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,6,0,24,0.010185361,0.011087877,0.002773433,0.97595334,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,6,0,53,0.01827813,0.054367986,0.0204725,0.90688133,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,6,0,10,0.10761416,0.049508553,0.01785545,0.8250218,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,6,0,25,0.015339379,0.0071729342,0.0020816727,0.97540605,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,6,0,27,0.019794231,0.035766464,0.009815356,0.93462396,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,6,0,42,0.7146342,0.019655064,0.01859365,0.24711713,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_OneR(1)
0,7,0,66,0.05522723,0.018341675,0.10701432,0.81941676,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,7,0,36,0.018824438,0.014685231,0.004219999,0.9622703,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,7,0,32,0.5406353,0.0069368905,0.0049309973,0.44749683,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,7,0,41,0.009802089,0.009476441,0.006564214,0.9741572,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,7,0,13,0.10137047,0.15451759,0.018219963,0.72589195,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,7,0,44,0.4161738,0.05423489,0.21247186,0.31711942,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_J48(1)
0,7,0,45,0.8422382,0.079139404,0.02522798,0.053394437,moa.WEKAClassifier_J48(1),moa.WEKAClassifier_OneR(1)
0,8,0,64,0.01587145,0.009068541,0.0021173349,0.9729427,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,8,0,7,0.3189226,0.046206824,0.004480561,0.63039,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,8,0,49,0.003092534,0.0017706993,0.0017635125,0.9933733,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,8,0,65,0.37374133,0.08669621,0.044018246,0.49554425,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,8,0,43,0.0074180425,0.010296384,0.0032588798,0.9790267,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,8,0,1,0.11330098,0.050017413,0.016464917,0.8202167,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,8,0,8,0.015768409,0.0034948562,0.0020964998,0.97864026,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_OneR(1)
0,9,0,11,0.08139359,0.05145497,0.019223828,0.84792763,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,9,0,33,0.2016781,0.02051422,0.5243793,0.25342837,moa.WEKAClassifier_OneR(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,9,0,23,0.014678717,0.007925872,0.005458652,0.9719367,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,9,0,48,0.06496745,0.17991717,0.021129275,0.73398614,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,9,0,6,0.0032449465,0.006710489,0.003127305,0.98691726,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_SMO_PolyKernel(1)
0,9,0,63,0.29462323,0.041302565,0.0680381,0.59603614,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_J48(1)
0,9,0,34,0.042842172,0.013645602,0.03589683,0.90761536,moa.WEKAClassifier_SMO_PolyKernel(1),moa.WEKAClassifier_REPTree(1)