% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.14.2.
% SciPy_0.19.1.
% Sat Apr  7 15:48:58 2018
% Created by run_task()
@RELATION openml_task_3902_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.FALSE NUMERIC
@ATTRIBUTE confidence.TRUE NUMERIC
@ATTRIBUTE prediction {FALSE, TRUE}
@ATTRIBUTE correct {FALSE, TRUE}

@DATA
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0,9,0,351,0.8809235037872326,0.11907649621276752,FALSE,TRUE
0,9,0,622,0.09490123324272386,0.9050987667572762,TRUE,TRUE
0,9,0,100,0.051576324456713486,0.9484236755432864,TRUE,TRUE
0,9,0,440,0.8160314898620381,0.18396851013796175,FALSE,TRUE
0,9,0,59,0.4607488432420005,0.5392511567579994,TRUE,TRUE
0,9,0,1176,0.7554683258712233,0.24453167412877683,FALSE,TRUE
0,9,0,835,0.5282435491827594,0.4717564508172405,FALSE,TRUE
0,9,0,94,0.5950946125043926,0.40490538749560734,FALSE,TRUE
0,9,0,1118,0.6270268916491749,0.37297310835082514,FALSE,TRUE
0,9,0,354,0.26403267722615736,0.7359673227738427,TRUE,TRUE
0,9,0,409,0.4091701181877576,0.5908298818122425,TRUE,TRUE
0,9,0,194,0.8976342586415939,0.10236574135840618,FALSE,TRUE
0,9,0,1322,0.8858903445057563,0.11410965549424375,FALSE,TRUE
0,9,0,877,0.29009202620114777,0.7099079737988521,TRUE,TRUE
% 
% 
%