% Python_3.9.16. % Sklearn_1.2.2. % NumPy_1.22.4. % SciPy_1.10.1. % Fri Apr 7 13:37:30 2023 % Created by run_flow_on_task @RELATION openml_task_361347_predictions @ATTRIBUTE repeat NUMERIC @ATTRIBUTE fold NUMERIC @ATTRIBUTE sample NUMERIC @ATTRIBUTE row_id NUMERIC @ATTRIBUTE prediction {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} @ATTRIBUTE correct {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} @ATTRIBUTE confidence.0 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 confidence.7 NUMERIC @ATTRIBUTE confidence.8 NUMERIC @ATTRIBUTE confidence.9 NUMERIC @DATA 0,0,0,50736,3,2,0.10303813842882448,0.08645748996991336,0.11297458672951027,0.11463707328438738,0.0860806384083314,0.11185011343235282,0.10405191831937631,0.08079348880583799,0.10930183597231381,0.09081471664915215 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0,1,0,47609,5,5,0.09584748867214608,0.04669620623772056,0.10093682291332746,0.09815509663907111,0.10962193340594194,0.12473843753162417,0.10708359090228765,0.09762209798167223,0.1155365876798377,0.10376173803637105 0,1,0,58130,5,5,0.1102280705900976,0.08783263181223963,0.0960591162262443,0.09954949008076079,0.10009530073799197,0.11770874192690925,0.09138598285855037,0.09702142110475112,0.09778520633081599,0.1023340383316391 0,1,0,69685,5,5,0.10098308500802931,0.09255466255027155,0.10042487043482543,0.09674050214454946,0.09980845479378832,0.11268848304202028,0.09323478175893775,0.09975790070205146,0.10664206661474866,0.09716519295077783