% Python_3.6.3.
% Sklearn_0.19.1.
% NumPy_1.13.3.
% SciPy_1.0.0.
% Sun May  6 14:13:03 2018
% Created by run_task()
@RELATION openml_task_9985_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE confidence.6 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0.0,9.0,0.0,3973.0,0.8349514563106796,0.04854368932038835,0.019417475728155338,0.02912621359223301,0.019417475728155338,0.04854368932038835,1,1
0.0,9.0,0.0,2023.0,1.0,0.0,0.0,0.0,0.0,0.0,1,1
0.0,9.0,0.0,366.0,0.06824146981627296,0.03674540682414698,0.18110236220472442,0.06824146981627296,0.06299212598425197,0.5826771653543307,6,1
0.0,9.0,0.0,5625.0,0.0,0.0,0.0,1.0,0.0,0.0,4,1
0.0,9.0,0.0,5538.0,0.06824146981627296,0.03674540682414698,0.18110236220472442,0.06824146981627296,0.06299212598425197,0.5826771653543307,6,1
0.0,9.0,0.0,4322.0,0.4,0.06666666666666667,0.06666666666666667,0.13333333333333333,0.0,0.3333333333333333,1,1
0.0,9.0,0.0,4111.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,1
0.0,9.0,0.0,1730.0,1.0,0.0,0.0,0.0,0.0,0.0,1,1
0.0,9.0,0.0,790.0,0.030303030303030304,0.12121212121212122,0.7575757575757576,0.09090909090909091,0.0,0.0,3,1
0.0,9.0,0.0,2101.0,0.15942028985507245,0.0,0.0,0.42028985507246375,0.2753623188405797,0.14492753623188406,4,1
0.0,9.0,0.0,4797.0,0.0,1.0,0.0,0.0,0.0,0.0,2,1
0.0,9.0,0.0,5248.0,0.06824146981627296,0.03674540682414698,0.18110236220472442,0.06824146981627296,0.06299212598425197,0.5826771653543307,6,2
0.0,9.0,0.0,4902.0,0.36666666666666664,0.25,0.25,0.1,0.03333333333333333,0.0,1,2
0.0,9.0,0.0,3670.0,0.28,0.16,0.136,0.072,0.112,0.24,1,2
0.0,9.0,0.0,4827.0,0.030303030303030304,0.12121212121212122,0.7575757575757576,0.09090909090909091,0.0,0.0,3,2
0.0,9.0,0.0,934.0,0.125,0.20833333333333334,0.0,0.08333333333333333,0.0,0.5833333333333334,6,2
0.0,9.0,0.0,4096.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,2543.0,0.2107843137254902,0.11274509803921569,0.22058823529411764,0.07352941176470588,0.22549019607843138,0.1568627450980392,5,2
0.0,9.0,0.0,1668.0,0.28,0.16,0.136,0.072,0.112,0.24,1,2
0.0,9.0,0.0,3212.0,0.05263157894736842,0.02631578947368421,0.043859649122807015,0.03508771929824561,0.02631578947368421,0.8157894736842105,6,2
0.0,9.0,0.0,1095.0,0.05263157894736842,0.02631578947368421,0.043859649122807015,0.03508771929824561,0.02631578947368421,0.8157894736842105,6,2
0.0,9.0,0.0,120.0,0.0,0.2857142857142857,0.21428571428571427,0.21428571428571427,0.14285714285714285,0.14285714285714285,2,2
0.0,9.0,0.0,644.0,0.28,0.16,0.136,0.072,0.112,0.24,1,2
0.0,9.0,0.0,224.0,0.05263157894736842,0.02631578947368421,0.043859649122807015,0.03508771929824561,0.02631578947368421,0.8157894736842105,6,2
0.0,9.0,0.0,3509.0,0.06521739130434782,0.2391304347826087,0.15217391304347827,0.043478260869565216,0.043478260869565216,0.45652173913043476,6,2
0.0,9.0,0.0,4831.0,0.11538461538461539,0.07692307692307693,0.6153846153846154,0.038461538461538464,0.038461538461538464,0.11538461538461539,3,2
0.0,9.0,0.0,5186.0,1.0,0.0,0.0,0.0,0.0,0.0,1,2
0.0,9.0,0.0,5518.0,0.0,1.0,0.0,0.0,0.0,0.0,2,2
0.0,9.0,0.0,3784.0,1.0,0.0,0.0,0.0,0.0,0.0,1,2
0.0,9.0,0.0,5023.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,4317.0,0.28,0.16,0.136,0.072,0.112,0.24,1,2
0.0,9.0,0.0,1268.0,0.41379310344827586,0.1724137931034483,0.10344827586206896,0.13793103448275862,0.06896551724137931,0.10344827586206896,1,2
0.0,9.0,0.0,5257.0,0.125,0.20833333333333334,0.0,0.08333333333333333,0.0,0.5833333333333334,6,2
0.0,9.0,0.0,5775.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,3976.0,0.8571428571428571,0.0,0.0,0.0,0.0,0.14285714285714285,1,2
0.0,9.0,0.0,674.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,5339.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,1756.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,3069.0,0.4166666666666667,0.0,0.0,0.25,0.16666666666666666,0.16666666666666666,1,2
0.0,9.0,0.0,4123.0,0.28,0.16,0.136,0.072,0.112,0.24,1,2
0.0,9.0,0.0,802.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,3650.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,5888.0,0.0,0.21428571428571427,0.5,0.0,0.14285714285714285,0.14285714285714285,3,2
0.0,9.0,0.0,4701.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,4075.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,3401.0,0.0,0.0,0.0,0.0,0.0,1.0,6,2
0.0,9.0,0.0,3803.0,0.2222222222222222,0.17777777777777778,0.0,0.022222222222222223,0.044444444444444446,0.5333333333333333,6,2
0.0,9.0,0.0,2594.0,0.2107843137254902,0.11274509803921569,0.22058823529411764,0.07352941176470588,0.22549019607843138,0.1568627450980392,5,2
0.0,9.0,0.0,1435.0,0.0,0.0,0.0,1.0,0.0,0.0,4,2
0.0,9.0,0.0,1682.0,0.3333333333333333,0.16666666666666666,0.0,0.5,0.0,0.0,4,2
0.0,9.0,0.0,5175.0,0.0,1.0,0.0,0.0,0.0,0.0,2,2
0.0,9.0,0.0,1768.0,0.0,0.0,0.0,1.0,0.0,0.0,4,2
0.0,9.0,0.0,4953.0,0.4,0.6,0.0,0.0,0.0,0.0,2,2
0.0,9.0,0.0,5516.0,0.3333333333333333,0.0,0.0,0.6666666666666666,0.0,0.0,4,2
0.0,9.0,0.0,4500.0,0.36666666666666664,0.25,0.25,0.1,0.03333333333333333,0.0,1,2
0.0,9.0,0.0,5956.0,0.228643216080402,0.2135678391959799,0.12562814070351758,0.10301507537688442,0.052763819095477386,0.27638190954773867,6,2
0.0,9.0,0.0,5449.0,0.36666666666666664,0.25,0.25,0.1,0.03333333333333333,0.0,1,2
0.0,9.0,0.0,3668.0,0.0,1.0,0.0,0.0,0.0,0.0,2,2
0.0,9.0,0.0,800.0,0.030303030303030304,0.12121212121212122,0.7575757575757576,0.09090909090909091,0.0,0.0,3,2
% 
% 
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