% Python_3.6.6.
% Sklearn_0.20.0.
% NumPy_1.15.2.
% SciPy_1.1.0.
% Fri Jan 25 20:17:27 2019
% Created by run_task()
@RELATION openml_task_23_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 prediction {1, 2, 3}
@ATTRIBUTE correct {1, 2, 3}

@DATA
0,0,0,1137,0.1111111111111111,0.3333333333333333,0.5555555555555556,3,1
0,0,0,1001,0.875,0.125,0.0,1,1
0,0,0,1063,0.875,0.125,0.0,1,1
0,0,0,62,0.5,0.16666666666666666,0.3333333333333333,1,1
0,0,0,271,0.3333333333333333,0.2222222222222222,0.4444444444444444,3,1
0,0,0,247,0.0,0.0,1.0,3,1
0,0,0,260,0.5,0.16666666666666666,0.3333333333333333,1,1
0,0,0,1103,0.5,0.5,0.0,1,1
0,0,0,1185,0.8571428571428571,0.07142857142857142,0.07142857142857142,1,1
0,0,0,39,0.5555555555555556,0.1111111111111111,0.3333333333333333,1,1
0,0,0,340,0.125,0.125,0.75,3,1
0,0,0,1016,1.0,0.0,0.0,1,1
0,0,0,176,1.0,0.0,0.0,1,1
0,0,0,1096,0.0,0.0,1.0,3,1
0,0,0,1102,0.7,0.2,0.1,1,1
0,0,0,182,0.875,0.125,0.0,1,1
0,0,0,68,0.42857142857142855,0.14285714285714285,0.42857142857142855,1,1
0,0,0,1118,0.5714285714285714,0.21428571428571427,0.21428571428571427,1,1
0,0,0,1047,0.3333333333333333,0.2222222222222222,0.4444444444444444,3,1
0,0,0,1117,1.0,0.0,0.0,1,1
0,0,0,53,0.26666666666666666,0.26666666666666666,0.4666666666666667,3,1
0,0,0,1073,0.9090909090909091,0.0,0.09090909090909091,1,1
0,0,0,1140,0.5555555555555556,0.1111111111111111,0.3333333333333333,1,1
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0,0,0,289,1.0,0.0,0.0,1,1
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0,0,0,1211,1.0,0.0,0.0,1,1
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0,0,0,197,0.1111111111111111,0.3333333333333333,0.5555555555555556,3,1
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0,0,0,145,0.2,0.2,0.6,3,1
0,0,0,73,0.8,0.0,0.2,1,1
0,0,0,1181,1.0,0.0,0.0,1,1
0,0,0,28,1.0,0.0,0.0,1,1
0,0,0,92,0.25,0.16666666666666666,0.5833333333333334,3,1
0,0,0,1089,0.6666666666666666,0.0,0.3333333333333333,1,1
0,0,0,108,0.45454545454545453,0.09090909090909091,0.45454545454545453,1,1
0,0,0,227,1.0,0.0,0.0,1,1
0,0,0,76,1.0,0.0,0.0,1,1
0,0,0,137,0.42857142857142855,0.14285714285714285,0.42857142857142855,1,1
0,0,0,179,0.5,0.16666666666666666,0.3333333333333333,1,1
0,0,0,352,0.8571428571428571,0.0,0.14285714285714285,1,1
0,0,0,1202,1.0,0.0,0.0,1,1
0,0,0,236,0.4666666666666667,0.0,0.5333333333333333,3,1
0,0,0,333,1.0,0.0,0.0,1,1
0,0,0,403,0.6666666666666666,0.16666666666666666,0.16666666666666666,1,1
0,0,0,1039,1.0,0.0,0.0,1,1
0,0,0,77,0.7777777777777778,0.1111111111111111,0.1111111111111111,1,1
0,0,0,1187,1.0,0.0,0.0,1,1
0,0,0,305,0.25,0.0,0.75,3,1
0,0,0,1099,0.09090909090909091,0.0,0.9090909090909091,3,1
0,0,0,1050,0.6,0.2,0.2,1,1
0,0,0,251,0.07142857142857142,0.42857142857142855,0.5,3,1
0,0,0,84,0.13333333333333333,0.4666666666666667,0.4,2,1
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0,0,0,1407,0.4666666666666667,0.0,0.5333333333333333,3,3
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0,0,0,1382,0.4166666666666667,0.3333333333333333,0.25,1,3
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0,0,0,917,0.42857142857142855,0.14285714285714285,0.42857142857142855,1,3
0,0,0,1357,0.0,0.0,1.0,3,3
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0,0,0,952,0.35714285714285715,0.14285714285714285,0.5,3,3
0,0,0,653,0.0,1.0,0.0,2,3
0,0,0,995,0.5833333333333334,0.25,0.16666666666666666,1,3
0,0,0,694,0.25,0.16666666666666666,0.5833333333333334,3,3
0,0,0,1348,0.25,0.0,0.75,3,3
0,0,0,716,0.2727272727272727,0.18181818181818182,0.5454545454545454,3,3
0,0,0,929,0.1111111111111111,0.3333333333333333,0.5555555555555556,3,3
0,0,0,819,0.75,0.0,0.25,1,3
0,0,0,771,0.26666666666666666,0.6,0.13333333333333333,2,3
0,0,0,840,0.5,0.5,0.0,1,3
0,0,0,714,0.4,0.4,0.2,1,3
0,0,0,788,0.15384615384615385,0.15384615384615385,0.6923076923076923,3,3
0,0,0,676,0.16666666666666666,0.8333333333333334,0.0,2,3
0,0,0,1322,0.25,0.0,0.75,3,3
0,0,0,721,0.0,0.7777777777777778,0.2222222222222222,2,3
0,0,0,1418,0.4,0.0,0.6,3,3
0,0,0,831,0.0,0.0,1.0,3,3
0,0,0,648,0.5555555555555556,0.1111111111111111,0.3333333333333333,1,3
0,0,0,876,0.6,0.2,0.2,1,3
0,0,0,861,0.8181818181818182,0.09090909090909091,0.09090909090909091,1,3
0,0,0,887,0.5,0.5,0.0,1,3
0,0,0,1471,0.09090909090909091,0.45454545454545453,0.45454545454545453,2,3
0,0,0,863,0.0,0.0,1.0,3,3
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0,0,0,847,0.8461538461538461,0.07692307692307693,0.07692307692307693,1,3
0,0,0,810,0.3,0.1,0.6,3,3
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0,0,0,708,0.5714285714285714,0.21428571428571427,0.21428571428571427,1,3
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0,0,0,479,0.4,0.0,0.6,3,2
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0,0,0,425,0.13333333333333333,0.4666666666666667,0.4,2,2
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0,1,0,1433,0.0,1.0,0.0,2,3
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0,1,0,769,0.4,0.4,0.2,1,3
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0,2,0,782,0.0,0.8,0.2,2,3
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0,2,0,775,0.25,0.25,0.5,3,3
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0,3,0,33,0.5,0.25,0.25,1,1
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0,3,0,249,0.75,0.125,0.125,1,1
0,3,0,1168,0.0,0.2,0.8,3,1
0,3,0,1203,1.0,0.0,0.0,1,1
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0,3,0,344,0.125,0.0,0.875,3,1
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0,3,0,159,0.5,0.07142857142857142,0.42857142857142855,1,1
0,3,0,1156,0.38461538461538464,0.07692307692307693,0.5384615384615384,3,1
0,3,0,322,0.8,0.1,0.1,1,1
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0,4,0,234,1.0,0.0,0.0,1,1
0,4,0,328,0.7142857142857143,0.14285714285714285,0.14285714285714285,1,1
0,4,0,329,0.9230769230769231,0.07692307692307693,0.0,1,1
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0,4,0,47,1.0,0.0,0.0,1,1
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0,4,0,392,0.8571428571428571,0.14285714285714285,0.0,1,1
0,4,0,1131,0.8,0.0,0.2,1,1
0,4,0,1173,0.5,0.5,0.0,1,1
0,4,0,9,1.0,0.0,0.0,1,1
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0,4,0,1093,0.5384615384615384,0.07692307692307693,0.38461538461538464,1,1
0,4,0,61,0.75,0.0,0.25,1,1
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0,4,0,357,0.0,0.0,1.0,3,1
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0,4,0,326,1.0,0.0,0.0,1,1
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0,4,0,1344,0.2,0.6666666666666666,0.13333333333333333,2,3
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0,4,0,482,0.5,0.2857142857142857,0.21428571428571427,1,2
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0,9,0,520,0.6428571428571429,0.35714285714285715,0.0,1,2
0,9,0,619,0.0,0.8,0.2,2,2