% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Aug 28 14:09:08 2017
% Created by run_task()
@RELATION openml_task_9986_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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0,9,0,2670,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,13740,0.182476732188,0.196012632625,0.120565420409,0.136698997011,0.234083394947,0.13016282282,5,4
0,9,0,12903,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,2718,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,2090,0.00434283736968,0.0152807968779,0.00338627965033,0.96162042507,0.00852402161097,0.00684563942119,5,4
0,9,0,13730,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,3572,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12618,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,3468,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,7133,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,6201,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,11772,0.135484016406,0.184162011933,0.108691213888,0.235100341139,0.211584286845,0.12497812979,5,4
0,9,0,6587,1.19402247518e-11,1.22542451191e-11,9.02114917217e-12,0.999998596031,6.10535346229e-08,1.34288222631e-06,5,4
0,9,0,6188,0.180198171293,0.195306359748,0.11930489196,0.142850812738,0.232897385459,0.129442378803,5,4
0,9,0,10629,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12879,0.182602002744,0.196052745608,0.120634695719,0.136357140347,0.234150202757,0.130203212825,5,4
0,9,0,6300,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,10488,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,2642,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12629,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,396,0.104699020092,0.173739407086,0.0738206394383,0.35430812652,0.191929584111,0.101503222752,5,4
0,9,0,2840,0.156481843617,0.189487255249,0.105621279373,0.203690245386,0.222299152503,0.122420223871,5,4
0,9,0,4702,0.182611907142,0.196055923097,0.120640171557,0.136330096132,0.234155492402,0.13020640967,5,4
0,9,0,308,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,420,0.182428842878,0.195997334507,0.12053891851,0.136829610265,0.234057901408,0.130147392432,5,4
0,9,0,4711,0.18082431645,0.195496139177,0.119648767582,0.141176579616,0.233217990012,0.129636207163,5,4
0,9,0,2742,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,2780,3.74735629571e-05,0.00133767294722,0.000156035453347,0.99781569842,0.000436044439624,0.000217075176505,5,4
0,9,0,7155,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12503,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12753,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,7160,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,6572,3.41682536723e-09,3.5066806891e-09,2.58147844594e-09,0.999977235118,6.46631765833e-08,2.26907137354e-05,5,4
0,9,0,6130,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,13747,0.182595146653,0.196050546603,0.120630905649,0.136375858562,0.234146541789,0.130201000744,5,4
0,9,0,13055,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,3290,0.172576798333,0.19320221649,0.115012984369,0.162821789801,0.229244862065,0.127141348942,5,4
0,9,0,98,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,3893,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,300,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,50,0.18124856951,0.195626706165,0.119889394492,0.140024559956,0.233437549127,0.12977322075,5,4
0,9,0,11745,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,10421,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,12767,0.182611911334,0.196055924442,0.120640173875,0.136330084684,0.234155494641,0.130206411023,5,4
0,9,0,11770,0.00955580239786,0.0332090791993,0.00720513249219,0.91885671017,0.0212223120262,0.00995096371411,5,4
% 
% 
%