% Python_3.6.3.
% Sklearn_0.19.1.
% NumPy_1.13.3.
% SciPy_1.0.0.
% Sun May  6 09:14:37 2018
% Created by run_task()
@RELATION openml_task_3655_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.P NUMERIC
@ATTRIBUTE confidence.N NUMERIC
@ATTRIBUTE prediction {P, N}
@ATTRIBUTE correct {P, N}

@DATA
0.0,0.0,0.0,50.0,0.5861356219451085,0.4138643780548915,P,P
0.0,0.0,0.0,22.0,0.9207133674105143,0.07928663258948565,P,P
0.0,0.0,0.0,20.0,0.6386463033437213,0.36135369665627876,P,P
0.0,0.0,0.0,0.0,0.9207133674105143,0.07928663258948565,P,P
0.0,0.0,0.0,53.0,0.048605266319895146,0.9513947336801049,N,N
0.0,0.0,0.0,18.0,0.2513149479705963,0.7486850520294037,N,N
0.0,1.0,0.0,25.0,0.9113613403182167,0.08863865968178332,P,P
0.0,1.0,0.0,48.0,0.9750629017957232,0.024937098204276795,P,P
0.0,1.0,0.0,26.0,0.6997647717896864,0.3002352282103135,P,P
0.0,1.0,0.0,28.0,0.06746926116760477,0.9325307388323952,N,N
0.0,1.0,0.0,16.0,0.10147227115422319,0.8985277288457768,N,N
0.0,1.0,0.0,43.0,0.15749965933280008,0.8425003406671999,N,N
0.0,2.0,0.0,34.0,0.9623444518235801,0.037655548176419945,P,P
0.0,2.0,0.0,45.0,0.9999769182198291,2.3081780170823843e-05,P,P
0.0,2.0,0.0,10.0,0.9677874153041681,0.03221258469583189,P,P
0.0,2.0,0.0,7.0,0.3449250719723198,0.6550749280276802,N,N
0.0,2.0,0.0,42.0,0.003765252031616151,0.9962347479683838,N,N
0.0,2.0,0.0,40.0,0.09457138651861086,0.9054286134813891,N,N
0.0,3.0,0.0,27.0,0.3995347018633415,0.6004652981366585,N,P
0.0,3.0,0.0,21.0,0.9793746039360967,0.020625396063903338,P,P
0.0,3.0,0.0,13.0,0.8419543650638616,0.15804563493613846,P,P
0.0,3.0,0.0,30.0,0.18208710722162025,0.8179128927783798,N,N
0.0,3.0,0.0,5.0,0.25648398373922865,0.7435160162607714,N,N
0.0,3.0,0.0,52.0,0.15171100498011747,0.8482889950198825,N,N
0.0,4.0,0.0,19.0,0.26358185820141733,0.7364181417985827,N,P
0.0,4.0,0.0,35.0,0.9389499934591617,0.0610500065408383,P,P
0.0,4.0,0.0,44.0,0.6340314204507651,0.3659685795492349,P,P
0.0,4.0,0.0,8.0,0.6054543890428914,0.39454561095710866,P,N
0.0,4.0,0.0,32.0,0.5160756659547266,0.48392433404527335,P,N
0.0,4.0,0.0,41.0,0.11942500453550142,0.8805749954644986,N,N
0.0,5.0,0.0,49.0,0.8263749511756459,0.17362504882435417,P,P
0.0,5.0,0.0,9.0,0.7330818486072659,0.26691815139273417,P,P
0.0,5.0,0.0,33.0,0.7330818486072659,0.26691815139273417,P,P
0.0,5.0,0.0,54.0,0.11217027108143596,0.887829728918564,N,N
0.0,5.0,0.0,38.0,0.6459025778410814,0.35409742215891854,P,N
0.0,6.0,0.0,14.0,0.7504409535133211,0.24955904648667895,P,P
0.0,6.0,0.0,36.0,0.8973980519789594,0.1026019480210406,P,P
0.0,6.0,0.0,2.0,0.6623746657287379,0.33762533427126207,P,P
0.0,6.0,0.0,6.0,0.20510433194357103,0.794895668056429,N,N
0.0,6.0,0.0,39.0,0.3526712271449881,0.6473287728550119,N,N
0.0,7.0,0.0,23.0,0.9887650988452771,0.011234901154722934,P,P
0.0,7.0,0.0,46.0,0.9735704600872942,0.026429539912705805,P,P
0.0,7.0,0.0,51.0,0.36030459283698757,0.6396954071630124,N,P
0.0,7.0,0.0,29.0,0.04685608515616324,0.9531439148438368,N,N
0.0,7.0,0.0,17.0,0.0552790155739622,0.9447209844260378,N,N
0.0,8.0,0.0,1.0,0.9495361516967867,0.0504638483032133,P,P
0.0,8.0,0.0,11.0,0.9866294221238208,0.013370577876179192,P,P
0.0,8.0,0.0,47.0,0.9932033031829322,0.006796696817067882,P,P
0.0,8.0,0.0,31.0,0.13609509302178735,0.8639049069782126,N,N
0.0,8.0,0.0,15.0,0.4650677590535597,0.5349322409464403,N,N
0.0,9.0,0.0,24.0,0.9818434451913223,0.018156554808677745,P,P
0.0,9.0,0.0,37.0,0.9342548566517281,0.06574514334827189,P,P
0.0,9.0,0.0,12.0,0.9818434451913223,0.018156554808677745,P,P
0.0,9.0,0.0,4.0,0.01280558876008242,0.9871944112399176,N,N
0.0,9.0,0.0,3.0,0.2335645070657495,0.7664354929342505,N,N
% 
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