1815598 232 Michel Lang 14969 Supervised Classification 4686 mlr.classif.svm.preproc.preproc.tuned(80) 9363 openml.seed 1 4686 openml.kind Mersenne-Twister 4686 openml.normal.kind Inversion 4686 preliminary study_14 4538 GesturePhaseSegmentationProcessed https://www.openml.org/data/download/1798765/phpYLeydd -1 4554733 description https://api.openml.org/data/download/4554733/description383e5282fcd4.xml -1 4554734 predictions https://api.openml.org/data/download/4554734/predictions383e3d9898e6.arff -1 4554735 Trace https://api.openml.org/data/download/4554735/optimization_trace383e32c0c090.arff area_under_roc_curve 0.719188 [0.811947,0.608478,0.665478,0.645756,0.735693] average_cost 0 f_measure 0.563236 [0.704256,0.333567,0.480573,0.407621,0.626005] kappa 0.440633 kb_relative_information_score 4672.730223 mean_absolute_error 0.166312 mean_prior_absolute_error 0.306484 number_of_instances 9873 [2741,998,2097,1087,2950] precision 0.578186 [0.618312,0.554779,0.569191,0.547287,0.566603] predictive_accuracy 0.58422 prior_entropy 2.19356 recall 0.58422 [0.81795,0.238477,0.415832,0.324747,0.699322] relative_absolute_error 0.542645 root_mean_prior_squared_error 0.391457 root_mean_squared_error 0.407814 root_relative_squared_error 1.041784 total_cost 0 area_under_roc_curve 0.723 [0.805414,0.594302,0.666275,0.654935,0.755609] area_under_roc_curve 0.716699 [0.818147,0.618739,0.666465,0.611871,0.730173] area_under_roc_curve 0.722793 [0.823897,0.614865,0.666991,0.645797,0.733644] area_under_roc_curve 0.722538 [0.815786,0.589766,0.670978,0.68706,0.730298] area_under_roc_curve 0.705704 [0.806938,0.595925,0.650129,0.655938,0.705954] area_under_roc_curve 0.724252 [0.817587,0.637599,0.647297,0.632221,0.755411] area_under_roc_curve 0.717753 [0.811698,0.609927,0.660039,0.632711,0.739265] area_under_roc_curve 0.711909 [0.795713,0.572525,0.671609,0.65264,0.73177] area_under_roc_curve 0.718578 [0.802973,0.647599,0.679786,0.62401,0.726678] area_under_roc_curve 0.728619 [0.82126,0.603162,0.675395,0.660138,0.748112] 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 0.566666 [0.690909,0.3,0.481081,0.430233,0.652997] f_measure 0.559626 [0.713154,0.356164,0.482192,0.351351,0.618076] f_measure 0.568054 [0.720635,0.34965,0.480418,0.402235,0.624025] f_measure 0.567114 [0.702866,0.294574,0.489247,0.478723,0.620579] f_measure 0.543117 [0.692654,0.304348,0.454023,0.430233,0.588598] f_measure 0.57011 [0.718033,0.394737,0.44898,0.380952,0.647646] f_measure 0.563042 [0.707395,0.348485,0.473684,0.392405,0.627778] f_measure 0.549789 [0.680982,0.241611,0.490463,0.420455,0.622222] f_measure 0.569027 [0.710247,0.415584,0.506964,0.353591,0.613445] f_measure 0.573589 [0.708709,0.319444,0.494737,0.421053,0.646465] kappa 0.447412 kappa 0.437252 kappa 0.446491 kappa 0.447674 kappa 0.415059 kappa 0.451003 kappa 0.441208 kappa 0.424004 kappa 0.439852 kappa 0.456167 kb_relative_information_score 472.243438 kb_relative_information_score 464.119041 kb_relative_information_score 472.299458 kb_relative_information_score 474.62393 kb_relative_information_score 447.138484 kb_relative_information_score 475.813259 kb_relative_information_score 467.978698 kb_relative_information_score 451.196399 kb_relative_information_score 468.265936 kb_relative_information_score 479.051581 mean_absolute_error 0.164372 mean_absolute_error 0.166397 mean_absolute_error 0.165182 mean_absolute_error 0.164539 mean_absolute_error 0.173455 mean_absolute_error 0.162918 mean_absolute_error 0.164539 mean_absolute_error 0.171834 mean_absolute_error 0.166971 mean_absolute_error 0.162918 mean_prior_absolute_error 0.306514 mean_prior_absolute_error 0.306514 mean_prior_absolute_error 0.306514 mean_prior_absolute_error 0.306461 mean_prior_absolute_error 0.306393 mean_prior_absolute_error 0.306464 mean_prior_absolute_error 0.306464 mean_prior_absolute_error 0.306506 mean_prior_absolute_error 0.306506 mean_prior_absolute_error 0.306506 number_of_instances 988 [274,100,210,109,295] number_of_instances 988 [274,100,210,109,295] number_of_instances 988 [274,100,210,109,295] number_of_instances 987 [274,99,210,109,295] number_of_instances 987 [275,99,210,108,295] number_of_instances 987 [274,100,210,108,295] number_of_instances 987 [274,100,210,108,295] number_of_instances 987 [274,100,209,109,295] number_of_instances 987 [274,100,209,109,295] number_of_instances 987 [274,100,209,109,295] precision 0.582293 [0.590674,0.525,0.55625,0.587302,0.610619] precision 0.588109 [0.630252,0.565217,0.567742,0.666667,0.542199] precision 0.578043 [0.63764,0.581395,0.531792,0.514286,0.578035] precision 0.588635 [0.598972,0.633333,0.561728,0.56962,0.590214] precision 0.564522 [0.589286,0.538462,0.572464,0.578125,0.539548] precision 0.588044 [0.651786,0.576923,0.578947,0.533333,0.559113] precision 0.605661 [0.632184,0.71875,0.613636,0.62,0.531765] precision 0.556735 [0.587302,0.367347,0.56962,0.552239,0.585075] precision 0.584899 [0.688356,0.592593,0.606667,0.444444,0.522673] precision 0.582958 [0.602041,0.522727,0.549708,0.493827,0.64214] predictive_accuracy 0.589069 predictive_accuracy 0.584008 predictive_accuracy 0.587045 predictive_accuracy 0.588652 predictive_accuracy 0.566363 predictive_accuracy 0.592705 predictive_accuracy 0.588652 predictive_accuracy 0.570415 predictive_accuracy 0.582573 predictive_accuracy 0.592705 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 prior_entropy 2.19356 recall 0.589069 [0.832117,0.21,0.42381,0.33945,0.701695] recall 0.584008 [0.821168,0.26,0.419048,0.238532,0.718644] recall 0.587045 [0.828467,0.25,0.438095,0.330275,0.677966] recall 0.588652 [0.850365,0.191919,0.433333,0.412844,0.654237] recall 0.566363 [0.84,0.212121,0.37619,0.342593,0.647458] recall 0.592705 [0.79927,0.3,0.366667,0.296296,0.769492] recall 0.588652 [0.80292,0.23,0.385714,0.287037,0.766102] recall 0.570415 [0.810219,0.18,0.430622,0.33945,0.664407] recall 0.582573 [0.733577,0.32,0.435407,0.293578,0.742373] recall 0.592705 [0.861314,0.23,0.449761,0.366972,0.650847] relative_absolute_error 0.536264 relative_absolute_error 0.542868 relative_absolute_error 0.538905 relative_absolute_error 0.536901 relative_absolute_error 0.56612 relative_absolute_error 0.531605 relative_absolute_error 0.536895 relative_absolute_error 0.560622 relative_absolute_error 0.544755 relative_absolute_error 0.531533 root_mean_prior_squared_error 0.391496 root_mean_prior_squared_error 0.391496 root_mean_prior_squared_error 0.391496 root_mean_prior_squared_error 0.391427 root_mean_prior_squared_error 0.39134 root_mean_prior_squared_error 0.391432 root_mean_prior_squared_error 0.391432 root_mean_prior_squared_error 0.391485 root_mean_prior_squared_error 0.391485 root_mean_prior_squared_error 0.391485 root_mean_squared_error 0.405429 root_mean_squared_error 0.407918 root_mean_squared_error 0.406426 root_mean_squared_error 0.405634 root_mean_squared_error 0.416479 root_mean_squared_error 0.403631 root_mean_squared_error 0.405634 root_mean_squared_error 0.414528 root_mean_squared_error 0.40862 root_mean_squared_error 0.403631 root_relative_squared_error 1.03559 root_relative_squared_error 1.041947 root_relative_squared_error 1.038137 root_relative_squared_error 1.036296 root_relative_squared_error 1.064238 root_relative_squared_error 1.031166 root_relative_squared_error 1.036283 root_relative_squared_error 1.058863 root_relative_squared_error 1.043771 root_relative_squared_error 1.031026 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