10551131 8323 Heinrich Peters 167119 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 41027 jungle_chess_2pcs_raw_endgame_complete https://www.openml.org/data/download/18631418/jungle_chess_2pcs_raw_endgame_complete.arff -1 22027217 description https://api.openml.org/data/download/22027217/description.xml -1 22027218 predictions https://api.openml.org/data/download/22027218/predictions.arff area_under_roc_curve 0.8073172305392587 [0.808651,0.806584,0.803169] average_cost 0 f_measure 0.6502405922648147 [0.749242,0.667407,0.054569] kappa 0.40708391967309543 kb_relative_information_score 0.30302402936196804 mean_absolute_error 0.28756081444421333 mean_prior_absolute_error 0.3831852724014475 weighted_recall 0.6805372721390481 [0.808776,0.672713,0.029758] number_of_instances 44819 [23062,17422,4335] precision 0.6482477614301297 [0.697871,0.662184,0.328244] predictive_accuracy 0.6805372721390482 prior_entropy 1.3491090910116912 relative_absolute_error 0.7504485040410104 root_mean_prior_squared_error 0.43771061915274234 root_mean_squared_error 0.3790579083339737 root_relative_squared_error 0.8660011700600269 total_cost 0 unweighted_recall 0.5037489298843155 [0.808776,0.672713,0.029758] area_under_roc_curve 0.8040314615938574 [0.807838,0.800423,0.798266] area_under_roc_curve 0.7995029825829848 [0.802113,0.796599,0.797279] area_under_roc_curve 0.807959958839492 [0.808517,0.806935,0.809113] area_under_roc_curve 0.8077009920449734 [0.806729,0.807458,0.813842] area_under_roc_curve 0.8174815909224042 [0.81853,0.81935,0.80441] area_under_roc_curve 0.8157451315578716 [0.816401,0.816909,0.80759] area_under_roc_curve 0.8030496134882592 [0.806023,0.798443,0.805745] area_under_roc_curve 0.8046948808071333 [0.807142,0.805933,0.786679] area_under_roc_curve 0.8010117828921188 [0.799643,0.803786,0.797137] area_under_roc_curve 0.8120343913004389 [0.813699,0.809946,0.811573] 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 0.650073003374337 [0.747626,0.666667,0.063559] f_measure 0.640632248030733 [0.74178,0.656232,0.038961] f_measure 0.6459924434423301 [0.746731,0.664018,0.03838] f_measure 0.6497642534386682 [0.748554,0.666091,0.059322] f_measure 0.6555865642015198 [0.755912,0.678643,0.029979] f_measure 0.6587835904769344 [0.752741,0.683188,0.061602] f_measure 0.647976507638443 [0.746993,0.655064,0.093418] f_measure 0.6547643901860546 [0.753455,0.669147,0.071279] f_measure 0.6426287308292791 [0.742181,0.65809,0.050209] f_measure 0.6560560969277707 [0.756475,0.676739,0.038055] kappa 0.4062043171690824 kappa 0.39016886161966324 kappa 0.4007932812240146 kappa 0.4054430693316773 kappa 0.41995573015821913 kappa 0.4228648815101537 kappa 0.3995783081068907 kappa 0.41391769768886716 kappa 0.3921971935437205 kappa 0.4196346550315292 kb_relative_information_score 0.2995215228015018 kb_relative_information_score 0.2972037259918984 kb_relative_information_score 0.30274877896966756 kb_relative_information_score 0.3069210624740499 kb_relative_information_score 0.3111264898934453 kb_relative_information_score 0.3102224674451647 kb_relative_information_score 0.29942166184633534 kb_relative_information_score 0.2972636348096516 kb_relative_information_score 0.2947369838854105 kb_relative_information_score 0.3110700711403566 mean_absolute_error 0.2887705337582956 mean_absolute_error 0.2890092248763008 mean_absolute_error 0.2877423101818691 mean_absolute_error 0.28685186978694466 mean_absolute_error 0.284646750833916 mean_absolute_error 0.2851745607472129 mean_absolute_error 0.289107375944106 mean_absolute_error 0.2893353942957928 mean_absolute_error 0.28983419036211366 mean_absolute_error 0.2851353925083242 mean_prior_absolute_error 0.38314912741294394 mean_prior_absolute_error 0.38314912741294394 mean_prior_absolute_error 0.38321127351128964 mean_prior_absolute_error 0.38321127351128964 mean_prior_absolute_error 0.38321127351128964 mean_prior_absolute_error 0.38321127351128964 mean_prior_absolute_error 0.38321127351128964 mean_prior_absolute_error 0.3831678439182395 mean_prior_absolute_error 0.3831678439182395 mean_prior_absolute_error 0.3831624086923031 number_of_instances 4482 [2307,1742,433] number_of_instances 4482 [2307,1742,433] number_of_instances 4482 [2306,1742,434] number_of_instances 4482 [2306,1742,434] number_of_instances 4482 [2306,1742,434] number_of_instances 4482 [2306,1742,434] number_of_instances 4482 [2306,1742,434] number_of_instances 4482 [2306,1743,433] number_of_instances 4482 [2306,1743,433] number_of_instances 4481 [2306,1742,433] precision 0.6524483090535026 [0.700227,0.655747,0.384615] precision 0.6380597164875557 [0.690041,0.650677,0.310345] precision 0.6384018543224472 [0.696435,0.656566,0.257143] precision 0.651570262429969 [0.692876,0.667435,0.368421] precision 0.6441185887920022 [0.702683,0.674221,0.212121] precision 0.6520989103499406 [0.707634,0.670536,0.283019] precision 0.668049626817428 [0.694631,0.651163,0.594595] precision 0.6571263558977123 [0.700037,0.667619,0.386364] precision 0.6358986389479727 [0.690157,0.65584,0.266667] precision 0.6454825428545832 [0.704299,0.67214,0.225] predictive_accuracy 0.679607318161535 predictive_accuracy 0.6720214190093707 predictive_accuracy 0.677153056671129 predictive_accuracy 0.6802766622043731 predictive_accuracy 0.6878625613565373 predictive_accuracy 0.6876394466755913 predictive_accuracy 0.676706827309237 predictive_accuracy 0.6842927264614012 predictive_accuracy 0.6724676483712628 predictive_accuracy 0.6873465744253515 prior_entropy 1.3488133441537706 prior_entropy 1.3488133441537706 prior_entropy 1.3493513056725057 prior_entropy 1.3493513056725057 prior_entropy 1.3493513056725057 prior_entropy 1.3493513056725057 prior_entropy 1.3493513056725057 prior_entropy 1.3489036134824826 prior_entropy 1.3489036134824826 prior_entropy 1.3489004199199452 relative_absolute_error 0.7536766055245883 relative_absolute_error 0.754299577367476 relative_absolute_error 0.7508712036192015 relative_absolute_error 0.7485475757499964 relative_absolute_error 0.7427932592529278 relative_absolute_error 0.7441705932453772 relative_absolute_error 0.7544333789950173 relative_absolute_error 0.7551139765202513 relative_absolute_error 0.7564157456385056 relative_absolute_error 0.7441632739533719 root_mean_prior_squared_error 0.4376693285240829 root_mean_prior_squared_error 0.4376693285240829 root_mean_prior_squared_error 0.4377403194007462 root_mean_prior_squared_error 0.4377403194007462 root_mean_prior_squared_error 0.4377403194007462 root_mean_prior_squared_error 0.4377403194007462 root_mean_prior_squared_error 0.4377403194007462 root_mean_prior_squared_error 0.43769071001794996 root_mean_prior_squared_error 0.43769071001794996 root_mean_prior_squared_error 0.4376845009936733 root_mean_squared_error 0.38030733160648866 root_mean_squared_error 0.382740554554031 root_mean_squared_error 0.3792278029358727 root_mean_squared_error 0.37877198062730977 root_mean_squared_error 0.37475660444763914 root_mean_squared_error 0.37556105869307493 root_mean_squared_error 0.3809763571061465 root_mean_squared_error 0.3798234685153209 root_mean_squared_error 0.3816036419511593 root_mean_squared_error 0.3767277990024945 root_relative_squared_error 0.8689375901413254 root_relative_squared_error 0.8744970908624468 root_relative_squared_error 0.866330530061806 root_relative_squared_error 0.8652892224911737 root_relative_squared_error 0.8561162585175387 root_relative_squared_error 0.857954001603524 root_relative_squared_error 0.8703250311227718 root_relative_squared_error 0.8677896510523244 root_relative_squared_error 0.8718568459803717 root_relative_squared_error 0.8607291282812412 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 0.5048352143857014 [0.801907,0.677956,0.034642] unweighted_recall 0.49485845048801097 [0.801907,0.661883,0.020785] unweighted_recall 0.499078671096697 [0.804857,0.671642,0.020737] unweighted_recall 0.5036582650312256 [0.813964,0.664753,0.032258] unweighted_recall 0.5057061049819888 [0.817866,0.683123,0.016129] unweighted_recall 0.5116259554490022 [0.80399,0.696326,0.034562] unweighted_recall 0.5058654426227077 [0.807892,0.659013,0.050691] unweighted_recall 0.508547293188318 [0.815698,0.670683,0.039261] unweighted_recall 0.4969193242497698 [0.802689,0.660356,0.027714] unweighted_recall 0.5063950136534083 [0.816999,0.681401,0.020785] usercpu_time_millis 240.4619369772263 usercpu_time_millis 176.90918495645747 usercpu_time_millis 182.22406296990812 usercpu_time_millis 183.84577898541465 usercpu_time_millis 179.8799309763126 usercpu_time_millis 181.2701669987291 usercpu_time_millis 186.9795480160974 usercpu_time_millis 187.37048603361472 usercpu_time_millis 188.52892896393314 usercpu_time_millis 188.6709009995684 usercpu_time_millis_testing 2.9447099659591913 usercpu_time_millis_testing 1.473126991186291 usercpu_time_millis_testing 1.417902996763587 usercpu_time_millis_testing 1.412896963302046 usercpu_time_millis_testing 1.4312969869934022 usercpu_time_millis_testing 1.408671960234642 usercpu_time_millis_testing 1.507219043560326 usercpu_time_millis_testing 1.4750840491615236 usercpu_time_millis_testing 1.5290529699996114 usercpu_time_millis_testing 1.4177690027281642 usercpu_time_millis_training 237.5172270112671 usercpu_time_millis_training 175.43605796527117 usercpu_time_millis_training 180.80615997314453 usercpu_time_millis_training 182.4328820221126 usercpu_time_millis_training 178.4486339893192 usercpu_time_millis_training 179.86149503849447 usercpu_time_millis_training 185.47232897253707 usercpu_time_millis_training 185.8954019844532 usercpu_time_millis_training 186.99987599393353 usercpu_time_millis_training 187.25313199684024 wall_clock_time_millis 241.63341522216797 wall_clock_time_millis 176.91802978515625 wall_clock_time_millis 182.23905563354492 wall_clock_time_millis 183.86077880859375 wall_clock_time_millis 179.89110946655273 wall_clock_time_millis 181.28323554992676 wall_clock_time_millis 186.99193000793457 wall_clock_time_millis 187.40487098693848 wall_clock_time_millis 188.54236602783203 wall_clock_time_millis 188.7073516845703 wall_clock_time_millis_testing 2.9556751251220703 wall_clock_time_millis_testing 1.4774799346923828 wall_clock_time_millis_testing 1.4286041259765625 wall_clock_time_millis_testing 1.4226436614990234 wall_clock_time_millis_testing 1.4414787292480469 wall_clock_time_millis_testing 1.4181137084960938 wall_clock_time_millis_testing 1.5149116516113281 wall_clock_time_millis_testing 1.485586166381836 wall_clock_time_millis_testing 1.535177230834961 wall_clock_time_millis_testing 1.4276504516601562 wall_clock_time_millis_training 238.6777400970459 wall_clock_time_millis_training 175.44054985046387 wall_clock_time_millis_training 180.81045150756836 wall_clock_time_millis_training 182.43813514709473 wall_clock_time_millis_training 178.4496307373047 wall_clock_time_millis_training 179.86512184143066 wall_clock_time_millis_training 185.47701835632324 wall_clock_time_millis_training 185.91928482055664 wall_clock_time_millis_training 187.00718879699707 wall_clock_time_millis_training 187.27970123291016 weighted_recall 0.6796073181615351 [0.801907,0.677956,0.034642] weighted_recall 0.6720214190093708 [0.801907,0.661883,0.020785] weighted_recall 0.6771530566711289 [0.804857,0.671642,0.020737] weighted_recall 0.680276662204373 [0.813964,0.664753,0.032258] weighted_recall 0.6878625613565372 [0.817866,0.683123,0.016129] weighted_recall 0.6876394466755913 [0.80399,0.696326,0.034562] weighted_recall 0.6767068273092369 [0.807892,0.659013,0.050691] weighted_recall 0.6842927264614012 [0.815698,0.670683,0.039261] weighted_recall 0.6724676483712628 [0.802689,0.660356,0.027714] weighted_recall 0.6873465744253515 [0.816999,0.681401,0.020785]