8882094 710 William Raynaut 146217 Supervised Classification precision 7839 weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1) 6833445 mDataExp Modelage study_107 40691 wine-quality-red https://www.openml.org/data/download/4965268/wine-quality-red.arff -1 18679932 description https://api.openml.org/data/download/18679932/description6192929829344739839.xml -1 18679933 predictions https://api.openml.org/data/download/18679933/predictions1321083220902472177.arff area_under_roc_curve 0.857009 [0.779641,0.776734,0.882726,0.821145,0.90544,0.899114] average_cost 0 f_measure 0.678776 [0,0.059701,0.771509,0.692661,0.564384,0.142857] kappa 0.506292 kb_relative_information_score 696.494074 mean_absolute_error 0.130725 mean_prior_absolute_error 0.214459 number_of_instances 1599 [10,53,681,638,199,18] precision 0.670074 [0,0.142857,0.742198,0.676119,0.620482,0.2] predictive_accuracy 0.692308 prior_entropy 1.717726 recall 0.692308 [0,0.037736,0.803231,0.710031,0.517588,0.111111] relative_absolute_error 0.609558 root_mean_prior_squared_error 0.327278 root_mean_squared_error 0.267257 root_relative_squared_error 0.816606 total_cost 0 area_under_roc_curve 0.833286 [1,0.645022,0.846707,0.810872,0.901071,0.962264] area_under_roc_curve 0.872096 [0.874214,0.909091,0.901694,0.825521,0.901456,0.96519] area_under_roc_curve 0.871385 [0.713836,0.785806,0.899936,0.829427,0.933214,0.917722] area_under_roc_curve 0.858645 [0.632075,0.806452,0.896579,0.827962,0.851071,0.870253] area_under_roc_curve 0.898263 [0.792453,0.712258,0.921835,0.881022,0.936429,0.78481] area_under_roc_curve 0.859016 [0.993711,0.8,0.880754,0.821126,0.910714,0.89557] area_under_roc_curve 0.848838 [0.981132,0.632258,0.861413,0.824382,0.919286,0.974684] area_under_roc_curve 0.813567 [0.773585,0.772903,0.857097,0.757161,0.858571,0.810127] area_under_roc_curve 0.869611 [0.198113,0.872258,0.899029,0.829651,0.918929,0.949367] area_under_roc_curve 0.856028 [0.987342,0.815904,0.864577,0.81994,0.944604,0.886076] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.651742 [0,0,0.715328,0.681818,0.6,0] f_measure 0.651265 [0,0,0.769231,0.661157,0.451613,0.5] f_measure 0.685264 [0,0.333333,0.791367,0.681818,0.526316,0] f_measure 0.668532 [0,0,0.777778,0.692913,0.486486,0] f_measure 0.751369 [0,0,0.826087,0.781955,0.7,0] f_measure 0.711654 [0,0.333333,0.794521,0.738462,0.545455,0] f_measure 0.682755 [0,0,0.753623,0.686567,0.702703,0] f_measure 0.601376 [0,0,0.723404,0.585366,0.478261,0] f_measure 0.683133 [0,0,0.794326,0.695652,0.466667,0.666667] f_measure 0.693738 [0,0,0.768116,0.710145,0.666667,0] kappa 0.464783 kappa 0.471242 kappa 0.511557 kappa 0.491462 kappa 0.630439 kappa 0.554543 kappa 0.510245 kappa 0.392529 kappa 0.510672 kappa 0.529041 kb_relative_information_score 68.011985 kb_relative_information_score 70.908967 kb_relative_information_score 73.271674 kb_relative_information_score 66.915665 kb_relative_information_score 77.375412 kb_relative_information_score 72.425967 kb_relative_information_score 70.556793 kb_relative_information_score 56.273243 kb_relative_information_score 69.998135 kb_relative_information_score 70.756232 mean_absolute_error 0.134508 mean_absolute_error 0.131897 mean_absolute_error 0.127597 mean_absolute_error 0.133335 mean_absolute_error 0.119914 mean_absolute_error 0.125985 mean_absolute_error 0.130751 mean_absolute_error 0.145008 mean_absolute_error 0.128706 mean_absolute_error 0.129541 mean_prior_absolute_error 0.2144 mean_prior_absolute_error 0.214635 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.21439 mean_prior_absolute_error 0.214487 number_of_instances 160 [1,6,68,64,20,1] number_of_instances 160 [1,6,68,64,19,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,69,63,20,2] number_of_instances 159 [1,6,68,63,20,1] precision 0.641517 [0,0,0.710145,0.661765,0.6,0] precision 0.645995 [0,0,0.681818,0.701754,0.583333,0.5] precision 0.694626 [0,1,0.774648,0.661765,0.555556,0] precision 0.658699 [0,0,0.736842,0.698413,0.529412,0] precision 0.735021 [0,0,0.814286,0.753623,0.7,0] precision 0.724723 [0,1,0.74359,0.727273,0.692308,0] precision 0.67416 [0,0,0.742857,0.657143,0.764706,0] precision 0.59387 [0,0,0.69863,0.610169,0.423077,0] precision 0.687417 [0,0,0.777778,0.64,0.7,1] precision 0.689112 [0,0,0.757143,0.653333,0.846154,0] predictive_accuracy 0.6625 predictive_accuracy 0.675 predictive_accuracy 0.69375 predictive_accuracy 0.68125 predictive_accuracy 0.76875 predictive_accuracy 0.725 predictive_accuracy 0.69375 predictive_accuracy 0.6125 predictive_accuracy 0.7 predictive_accuracy 0.710692 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 recall 0.6625 [0,0,0.720588,0.703125,0.6,0] recall 0.675 [0,0,0.882353,0.625,0.368421,0.5] recall 0.69375 [0,0.2,0.808824,0.703125,0.5,0] recall 0.68125 [0,0,0.823529,0.6875,0.45,0] recall 0.76875 [0,0,0.838235,0.8125,0.7,0] recall 0.725 [0,0.2,0.852941,0.75,0.45,0] recall 0.69375 [0,0,0.764706,0.71875,0.65,0] recall 0.6125 [0,0,0.75,0.5625,0.55,0] recall 0.7 [0,0,0.811594,0.761905,0.35,0.5] recall 0.710692 [0,0,0.779412,0.777778,0.55,0] relative_absolute_error 0.627367 relative_absolute_error 0.614515 relative_absolute_error 0.59501 relative_absolute_error 0.621766 relative_absolute_error 0.559182 relative_absolute_error 0.587492 relative_absolute_error 0.609714 relative_absolute_error 0.6762 relative_absolute_error 0.600336 relative_absolute_error 0.603956 root_mean_prior_squared_error 0.327189 root_mean_prior_squared_error 0.327548 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327173 root_mean_prior_squared_error 0.327321 root_mean_squared_error 0.275909 root_mean_squared_error 0.265961 root_mean_squared_error 0.257617 root_mean_squared_error 0.267713 root_mean_squared_error 0.245847 root_mean_squared_error 0.26575 root_mean_squared_error 0.268592 root_mean_squared_error 0.294469 root_mean_squared_error 0.262959 root_mean_squared_error 0.265132 root_relative_squared_error 0.843272 root_relative_squared_error 0.811977 root_relative_squared_error 0.787199 root_relative_squared_error 0.818049 root_relative_squared_error 0.751232 root_relative_squared_error 0.812048 root_relative_squared_error 0.820733 root_relative_squared_error 0.899805 root_relative_squared_error 0.803732 root_relative_squared_error 0.810005 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0