% Python_3.9.16.
% Sklearn_1.2.2.
% NumPy_1.22.4.
% SciPy_1.10.1.
% Tue Mar 28 14:38:41 2023
% Created by run_flow_on_task
@RELATION openml_task_12_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {1, 10, 2, 3, 4, 5, 6, 7, 8, 9}
@ATTRIBUTE correct {1, 10, 2, 3, 4, 5, 6, 7, 8, 9}
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.10 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE confidence.6 NUMERIC
@ATTRIBUTE confidence.7 NUMERIC
@ATTRIBUTE confidence.8 NUMERIC
@ATTRIBUTE confidence.9 NUMERIC

@DATA
0,0,0,474,3,3,0.0,0.01,0.0,0.98,0.01,0.0,0.0,0.0,0.0,0.0
0,0,0,484,3,3,0.0,0.0,0.0,0.88,0.02,0.01,0.0,0.0,0.09,0.0
0,0,0,522,3,3,0.0,0.0,0.0,0.93,0.0,0.0,0.03,0.0,0.01,0.03
0,0,0,550,3,3,0.03,0.01,0.02,0.74,0.03,0.0,0.08,0.01,0.0,0.08
0,0,0,471,3,3,0.0,0.03,0.0,0.89,0.03,0.0,0.01,0.0,0.03,0.01
0,0,0,589,3,3,0.0,0.01,0.03,0.88,0.03,0.0,0.02,0.0,0.0,0.03
0,0,0,437,3,3,0.0,0.06,0.03,0.86,0.01,0.01,0.0,0.0,0.01,0.02
0,0,0,583,3,3,0.0,0.0,0.0,0.96,0.0,0.0,0.0,0.01,0.03,0.0
0,0,0,581,3,3,0.02,0.01,0.0,0.89,0.04,0.0,0.01,0.0,0.03,0.0
0,0,0,451,3,3,0.01,0.01,0.12,0.58,0.02,0.02,0.09,0.02,0.03,0.1
0,0,0,523,3,3,0.0,0.11,0.0,0.8,0.02,0.01,0.03,0.0,0.02,0.01
0,0,0,566,3,3,0.0,0.1,0.06,0.75,0.04,0.01,0.01,0.0,0.02,0.01
0,0,0,422,3,3,0.0,0.01,0.02,0.94,0.0,0.0,0.02,0.0,0.0,0.01
0,0,0,405,3,3,0.0,0.01,0.0,0.98,0.01,0.0,0.0,0.0,0.0,0.0
0,0,0,513,3,3,0.0,0.01,0.0,0.89,0.03,0.0,0.03,0.01,0.03,0.0
0,0,0,418,3,3,0.0,0.0,0.0,0.96,0.01,0.0,0.01,0.0,0.0,0.02
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0,0,0,443,3,3,0.0,0.13,0.01,0.78,0.01,0.0,0.02,0.0,0.04,0.01
0,0,0,472,3,3,0.0,0.04,0.02,0.73,0.0,0.02,0.06,0.02,0.01,0.1
0,0,0,1090,6,6,0.0,0.18,0.04,0.04,0.18,0.02,0.52,0.0,0.02,0.0
0,0,0,1192,6,6,0.12,0.0,0.01,0.01,0.13,0.02,0.5,0.09,0.0,0.12
0,0,0,1153,6,6,0.0,0.0,0.02,0.0,0.07,0.0,0.87,0.01,0.0,0.03
0,0,0,1081,6,6,0.01,0.03,0.05,0.09,0.04,0.0,0.74,0.02,0.0,0.02
0,0,0,1169,6,6,0.03,0.0,0.0,0.0,0.0,0.01,0.71,0.05,0.0,0.2
0,0,0,1166,6,6,0.0,0.01,0.01,0.0,0.02,0.0,0.95,0.0,0.0,0.01
0,0,0,1182,6,6,0.01,0.01,0.0,0.0,0.0,0.02,0.95,0.0,0.0,0.01
0,0,0,1020,6,6,0.0,0.03,0.05,0.0,0.13,0.05,0.65,0.05,0.0,0.04
0,0,0,1050,6,6,0.0,0.04,0.0,0.01,0.02,0.01,0.9,0.0,0.0,0.02
0,0,0,1080,6,6,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
0,0,0,1144,6,6,0.0,0.02,0.02,0.01,0.01,0.01,0.89,0.02,0.01,0.01
0,0,0,1193,6,6,0.01,0.1,0.0,0.01,0.01,0.0,0.87,0.0,0.0,0.0
0,0,0,1115,6,6,0.0,0.0,0.0,0.0,0.04,0.0,0.93,0.02,0.0,0.01
0,0,0,1087,2,6,0.03,0.12,0.41,0.09,0.1,0.02,0.11,0.01,0.07,0.04
0,0,0,1188,6,6,0.0,0.03,0.0,0.0,0.13,0.01,0.78,0.01,0.0,0.04
0,0,0,1045,6,6,0.01,0.0,0.0,0.0,0.0,0.0,0.96,0.0,0.0,0.03
0,0,0,1134,6,6,0.0,0.09,0.01,0.01,0.02,0.02,0.84,0.0,0.0,0.01
0,0,0,1179,6,6,0.0,0.04,0.02,0.0,0.04,0.0,0.87,0.01,0.02,0.0
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0,0,0,1152,6,6,0.01,0.06,0.02,0.0,0.07,0.0,0.83,0.0,0.0,0.01
0,0,0,365,2,2,0.01,0.03,0.65,0.0,0.12,0.1,0.01,0.01,0.05,0.02
0,0,0,322,2,2,0.0,0.0,0.83,0.0,0.07,0.05,0.01,0.04,0.0,0.0
0,0,0,378,2,2,0.01,0.01,0.86,0.01,0.0,0.01,0.02,0.03,0.0,0.05
0,0,0,396,2,2,0.0,0.01,0.96,0.0,0.02,0.0,0.0,0.0,0.01,0.0
0,0,0,364,2,2,0.0,0.19,0.74,0.0,0.02,0.0,0.04,0.0,0.0,0.01
0,0,0,213,2,2,0.02,0.07,0.3,0.28,0.07,0.0,0.11,0.0,0.11,0.04
0,0,0,334,2,2,0.0,0.1,0.48,0.09,0.06,0.02,0.16,0.0,0.01,0.08
0,0,0,349,2,2,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
0,0,0,317,2,2,0.01,0.05,0.6,0.02,0.04,0.0,0.21,0.02,0.0,0.05
0,0,0,263,2,2,0.0,0.0,0.98,0.0,0.0,0.01,0.01,0.0,0.0,0.0
0,0,0,326,2,2,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
0,0,0,251,2,2,0.0,0.0,0.86,0.0,0.0,0.0,0.02,0.01,0.0,0.11
0,0,0,327,2,2,0.01,0.03,0.61,0.0,0.01,0.14,0.1,0.02,0.0,0.08
0,0,0,351,2,2,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
0,0,0,270,2,2,0.0,0.0,0.95,0.0,0.02,0.03,0.0,0.0,0.0,0.0
0,0,0,308,2,2,0.0,0.0,0.99,0.0,0.01,0.0,0.0,0.0,0.0,0.0
0,0,0,204,2,2,0.0,0.02,0.83,0.0,0.08,0.03,0.02,0.0,0.02,0.0
0,0,0,290,2,2,0.01,0.0,0.68,0.01,0.02,0.05,0.08,0.03,0.0,0.12
0,0,0,212,2,2,0.01,0.0,0.88,0.01,0.03,0.04,0.0,0.0,0.01,0.02
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