% Python_3.8.18.
% Sklearn_1.3.2.
% NumPy_1.23.5.
% SciPy_1.10.1.
% Mon Jan 15 11:02:43 2024
% Created by run_flow_on_task
@RELATION openml_task_307_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {no, yes}
@ATTRIBUTE correct {no, yes}
@ATTRIBUTE confidence.no NUMERIC
@ATTRIBUTE confidence.yes NUMERIC

@DATA
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0,0,0,102,no,no,0.9626778053525449,0.037322194647455384
0,0,0,67,no,no,0.7,0.3
0,0,0,147,no,no,0.72,0.28
0,0,0,164,no,no,0.9626778053525449,0.037322194647455384
0,0,0,396,no,no,0.99,0.01
0,0,0,118,no,no,0.82,0.18
0,0,0,26,yes,no,0.21,0.79
0,0,0,360,yes,no,0.32,0.68
0,0,0,72,no,no,0.9738006535947713,0.026199346405228755
0,0,0,85,yes,no,0.36,0.64
0,0,0,174,no,no,0.9766666666666667,0.02333333333333333
0,0,0,250,yes,no,0.48,0.52
0,0,0,60,no,no,1.0,0.0
0,0,0,297,no,no,1.0,0.0
0,0,0,83,no,no,0.89,0.11
0,0,0,412,no,no,1.0,0.0
0,0,0,11,no,no,1.0,0.0
0,0,0,290,no,no,1.0,0.0
0,0,0,205,no,no,0.65,0.35
0,0,0,182,no,no,0.96,0.04
0,0,0,47,no,no,0.9990000000000001,0.001
0,0,0,417,yes,no,0.42,0.58
0,0,0,133,no,no,0.9642313797313795,0.03576862026862027
0,0,0,255,no,no,0.9520236027266482,0.04797639727335176
0,0,0,49,no,no,0.99,0.01
0,0,0,253,no,no,0.9520236027266482,0.04797639727335176
0,0,0,53,no,no,0.84,0.16
0,0,0,258,no,no,0.9940611471861474,0.005938852813852814
0,0,0,228,no,no,0.9626778053525449,0.037322194647455384
0,0,0,109,no,no,0.9520236027266482,0.04797639727335176
0,0,0,69,no,no,0.9115436507936507,0.08845634920634922
0,0,0,318,no,no,0.9825476190476191,0.017452380952380952
0,0,0,407,no,no,0.9626778053525449,0.037322194647455384
0,0,0,384,no,no,1.0,0.0
0,0,0,269,no,no,0.87,0.13
0,0,0,188,no,no,1.0,0.0
0,0,0,87,no,no,0.72,0.28
0,0,0,194,no,no,0.8,0.2
0,0,0,266,no,no,0.97,0.03
0,0,0,105,no,no,1.0,0.0
0,0,0,398,no,no,0.89,0.11
0,0,0,493,no,yes,0.83,0.17
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0,0,0,501,no,yes,0.75,0.25
0,0,0,463,no,yes,0.79,0.21
0,0,0,469,yes,yes,0.43,0.57
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0,0,0,443,no,yes,0.5,0.5
0,0,0,459,no,yes,0.65,0.35
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0,1,0,324,no,no,0.52,0.48
0,1,0,138,no,no,0.9611024217694123,0.03889757823058735
0,1,0,123,no,no,0.7789500893842997,0.22104991061569992
0,1,0,288,no,no,0.98,0.02
0,1,0,291,no,no,0.9996296296296296,0.00037037037037037035
0,1,0,93,no,no,0.9611024217694123,0.03889757823058735
0,1,0,303,no,no,0.97,0.03
0,1,0,420,yes,no,0.49,0.51
0,1,0,106,no,no,0.6,0.4
0,1,0,117,no,no,0.7789500893842997,0.22104991061569992
0,1,0,56,no,no,0.98,0.02
0,1,0,247,no,no,0.7273849206349204,0.2726150793650793
0,1,0,305,no,no,1.0,0.0
0,1,0,346,no,no,0.875269491807627,0.12473050819237257
0,1,0,9,no,no,1.0,0.0
0,1,0,347,no,no,0.8716236263736259,0.12837637362637358
0,1,0,218,no,no,0.9611024217694123,0.03889757823058735
0,1,0,377,no,no,1.0,0.0
0,1,0,406,no,no,1.0,0.0
0,1,0,282,no,no,0.59,0.41
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0,1,0,280,no,no,1.0,0.0
0,1,0,219,no,no,0.9611024217694123,0.03889757823058735
0,1,0,29,no,no,1.0,0.0
0,1,0,208,no,no,0.99,0.01
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0,1,0,3,yes,yes,0.17,0.83
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0,1,0,512,no,yes,1.0,0.0
0,2,0,191,no,no,1.0,0.0
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0,2,0,392,yes,no,0.19,0.81
0,2,0,341,no,no,0.99,0.01
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0,2,0,28,no,no,0.99,0.01
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0,2,0,160,no,no,0.56,0.44
0,2,0,139,no,no,0.99,0.01
0,2,0,339,no,no,0.94,0.06
0,2,0,351,no,no,1.0,0.0
0,2,0,320,no,no,0.9708775533553058,0.029122446644694003
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0,2,0,363,yes,no,0.04,0.96
0,2,0,17,no,no,1.0,0.0
0,2,0,112,no,no,0.9598064965429629,0.04019350345703674
0,2,0,149,no,no,0.88,0.12
0,2,0,273,no,no,0.69,0.31
0,2,0,27,no,no,0.9775,0.0225
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0,2,0,2,yes,yes,0.12,0.88
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0,3,0,345,no,no,0.96,0.04
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