10560098 6691 Sergey Redyuk 9960 Supervised Classification 18864 sklearn.ensemble.forest.RandomForestClassifier(66) 8276521 Python_3.6.14. Sklearn_0.18. NumPy_1.16.6. SciPy_0.19.0. bootstrap true 18864 class_weight null 18864 criterion "gini" 18864 max_depth null 18864 max_features "auto" 18864 max_leaf_nodes null 18864 min_impurity_split 1e-07 18864 min_samples_leaf 1 18864 min_samples_split 2 18864 min_weight_fraction_leaf 0.0 18864 n_estimators 10 18864 n_jobs 1 18864 oob_score false 18864 random_state 42620 18864 verbose 0 18864 warm_start false 18864 openml-python Sklearn_0.18. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22046268 description https://api.openml.org/data/download/22046268/description.xml -1 22046269 predictions https://api.openml.org/data/download/22046269/predictions.arff area_under_roc_curve 0.9996202549483482 [0.999726,0.99968,0.999818,0.999107] average_cost 0 f_measure 0.991185463046046 [0.991833,0.994291,0.973725,0.988506] kappa 0.9867090318981611 kb_relative_information_score 0.9579808431994544 mean_absolute_error 0.02060117302052752 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9912023460410557 [0.991383,0.996662,0.960366,0.989104] number_of_instances 5456 [2205,2097,328,826] precision 0.9911958374578891 [0.992283,0.991932,0.987461,0.987908] predictive_accuracy 0.9912023460410557 prior_entropy 1.7146330399083418 relative_absolute_error 0.06219444530304243 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.07439270255575033 root_relative_squared_error 0.18280841234712672 total_cost 0 unweighted_recall 0.9843787719463493 [0.991383,0.996662,0.960366,0.989104] area_under_roc_curve 0.9980305395182276 [0.999603,0.997924,0.99997,0.993285] area_under_roc_curve 0.9995214443292572 [0.998935,0.999979,0.99935,1] area_under_roc_curve 0.9997712362751607 [0.999693,0.999844,0.99935,0.999961] area_under_roc_curve 0.9999534546945595 [0.999944,0.999986,0.999823,0.999948] area_under_roc_curve 0.9998812068349974 [0.999833,0.999957,0.999911,0.999805] area_under_roc_curve 0.9996183694056389 [0.999707,0.999582,1,0.999323] area_under_roc_curve 0.9997719481668544 [0.999734,0.999872,1,0.999531] area_under_roc_curve 0.9997738874841322 [0.999881,0.999836,1,0.999244] area_under_roc_curve 0.9999494581717866 [0.999937,0.99995,1,0.99996] area_under_roc_curve 0.9999654584208186 [0.999944,1,1,0.999921] 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 0.9908441850684248 [0.993166,0.990566,0.984615,0.987805] f_measure 0.9868551198247573 [0.98427,0.997625,0.918033,0.993939] f_measure 0.9908424908424909 [0.990909,0.995238,0.969697,0.987952] f_measure 0.9927183227677557 [0.993166,0.995215,0.970588,0.994012] f_measure 0.9944972066496905 [0.995434,0.995261,0.984615,0.994012] f_measure 0.9871685222443959 [0.988558,0.990566,0.984615,0.975904] f_measure 0.9889929653577642 [0.988662,0.990476,0.984615,0.987805] f_measure 0.9889546095586006 [0.990991,0.99284,0.984127,0.97561] f_measure 0.9925433141946904 [0.995495,0.995215,0.952381,0.993939] f_measure 0.9981686174608848 [0.997732,1,1,0.993939] kappa 0.9861574501313268 kappa 0.9805567425676088 kappa 0.9861868668980662 kappa 0.9889768787002408 kappa 0.9917108619084248 kappa 0.9806472193669585 kappa 0.983360980226535 kappa 0.9833279799323941 kappa 0.9888925687208621 kappa 0.9972310990758476 kb_relative_information_score 0.9560636419084364 kb_relative_information_score 0.9475983246478265 kb_relative_information_score 0.9547688535786868 kb_relative_information_score 0.9602503569146944 kb_relative_information_score 0.9681746077032917 kb_relative_information_score 0.9558479456624636 kb_relative_information_score 0.9564141014339763 kb_relative_information_score 0.9553839617402161 kb_relative_information_score 0.9674808194905407 kb_relative_information_score 0.9578168828516708 mean_absolute_error 0.021245421245421257 mean_absolute_error 0.024816849816849843 mean_absolute_error 0.021794871794871808 mean_absolute_error 0.019871794871794878 mean_absolute_error 0.016117216117216105 mean_absolute_error 0.020787545787545793 mean_absolute_error 0.021100917431192683 mean_absolute_error 0.02201834862385321 mean_absolute_error 0.016238532110091724 mean_absolute_error 0.02201834862385322 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.9909794255588648 [1,0.981308,1,0.987805] precision 0.9873328787820114 [0.977679,0.995261,1,0.987952] precision 0.9908424908424909 [0.990909,0.995238,0.969697,0.987952] precision 0.9928967477401919 [0.995434,1,0.942857,0.988095] precision 0.9945618547370568 [1,0.990566,1,0.988095] precision 0.9872911015940431 [0.995392,0.981308,1,0.975904] precision 0.9890713352127275 [0.986425,0.990476,0.969697,1] precision 0.9890123638185239 [0.986547,0.990476,1,0.987654] precision 0.9927155695642239 [0.991031,0.995215,1,0.987952] precision 0.9981872443904056 [1,1,1,0.987952] predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9926739926739927 predictive_accuracy 0.9945054945054944 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9889908256880734 predictive_accuracy 0.9889908256880734 predictive_accuracy 0.9926605504587155 predictive_accuracy 0.9981651376146788 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 relative_absolute_error 0.06415776472953837 relative_absolute_error 0.07494290621424528 relative_absolute_error 0.06577107971506697 relative_absolute_error 0.05996774915197281 relative_absolute_error 0.04863743710021753 relative_absolute_error 0.06273123989630336 relative_absolute_error 0.06372578123453869 relative_absolute_error 0.06650011189922679 relative_absolute_error 0.04903144106531587 relative_absolute_error 0.06648330991907248 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.08187366306265217 root_mean_squared_error 0.08408089598474235 root_mean_squared_error 0.07601571073395466 root_mean_squared_error 0.07019073960815571 root_mean_squared_error 0.06347679914192289 root_mean_squared_error 0.08114338595504304 root_mean_squared_error 0.07644629943462075 root_mean_squared_error 0.0757833706432687 root_mean_squared_error 0.06396673447399083 root_mean_squared_error 0.06759295332687817 root_relative_squared_error 0.2012492732826949 root_relative_squared_error 0.20667475450485995 root_relative_squared_error 0.18671973582608273 root_relative_squared_error 0.17241167951374575 root_relative_squared_error 0.15592002038035205 root_relative_squared_error 0.1993150026918295 root_relative_squared_error 0.18792152637454074 root_relative_squared_error 0.18630211926934212 root_relative_squared_error 0.15721293409621198 root_relative_squared_error 0.16612519935760686 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 unweighted_recall 0.9859817967780665 [0.986425,1,0.969697,0.987805] unweighted_recall 0.9598587686822981 [0.99095,1,0.848485,1] unweighted_recall 0.9859489907682679 [0.990909,0.995238,0.969697,0.987952] unweighted_recall 0.9953463203463204 [0.990909,0.990476,1,1] unweighted_recall 0.9901515151515152 [0.990909,1,0.969697,1] unweighted_recall 0.9818546914932458 [0.981818,1,0.969697,0.975904] unweighted_recall 0.9893222239607783 [0.990909,0.990476,1,0.975904] unweighted_recall 0.9808239614534259 [0.995475,0.995215,0.96875,0.963855] unweighted_recall 0.9760765550239234 [1,0.995215,0.909091,1] unweighted_recall 0.998868778280543 [0.995475,1,1,1] usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 wall_clock_time_millis 92.75364875793457 wall_clock_time_millis 98.00338745117188 wall_clock_time_millis 96.18782997131348 wall_clock_time_millis 95.07226943969727 wall_clock_time_millis 91.9797420501709 wall_clock_time_millis 92.05770492553711 wall_clock_time_millis 106.50634765625 wall_clock_time_millis 95.30997276306152 wall_clock_time_millis 98.01459312438965 wall_clock_time_millis 95.76559066772461 wall_clock_time_millis_testing 1.558542251586914 wall_clock_time_millis_testing 1.5456676483154297 wall_clock_time_millis_testing 1.5151500701904297 wall_clock_time_millis_testing 1.6117095947265625 wall_clock_time_millis_testing 1.5330314636230469 wall_clock_time_millis_testing 1.5439987182617188 wall_clock_time_millis_testing 1.5566349029541016 wall_clock_time_millis_testing 1.581430435180664 wall_clock_time_millis_testing 1.4874935150146484 wall_clock_time_millis_testing 1.5785694122314453 wall_clock_time_millis_training 91.19510650634766 wall_clock_time_millis_training 96.45771980285645 wall_clock_time_millis_training 94.67267990112305 wall_clock_time_millis_training 93.4605598449707 wall_clock_time_millis_training 90.44671058654785 wall_clock_time_millis_training 90.51370620727539 wall_clock_time_millis_training 104.9497127532959 wall_clock_time_millis_training 93.72854232788086 wall_clock_time_millis_training 96.527099609375 wall_clock_time_millis_training 94.18702125549316 weighted_recall 0.9908424908424909 [0.986425,1,0.969697,0.987805] weighted_recall 0.9871794871794872 [0.99095,1,0.848485,1] weighted_recall 0.9908424908424909 [0.990909,0.995238,0.969697,0.987952] weighted_recall 0.9926739926739927 [0.990909,0.990476,1,1] weighted_recall 0.9945054945054945 [0.990909,1,0.969697,1] weighted_recall 0.9871794871794872 [0.981818,1,0.969697,0.975904] weighted_recall 0.9889908256880734 [0.990909,0.990476,1,0.975904] weighted_recall 0.9889908256880734 [0.995475,0.995215,0.96875,0.963855] weighted_recall 0.9926605504587156 [1,0.995215,0.909091,1] weighted_recall 0.998165137614679 [0.995475,1,1,1]