10398433 8323 Heinrich Peters 167119 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8231973 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 10488.294804194422 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.009425411398948558 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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": "svc", "step_name": "svc"}}] 16345 verbose false 16345 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 21718618 description https://api.openml.org/data/download/21718618/description.xml -1 21718619 predictions https://api.openml.org/data/download/21718619/predictions.arff area_under_roc_curve 0.8560918208051271 [0.865814,0.868949,0.752698] average_cost 0 f_measure 0.8300179743386555 [0.871596,0.840151,0.5681] kappa 0.7044682926058626 kb_relative_information_score 0.6968964418921992 mean_absolute_error 0.11249693210468903 mean_prior_absolute_error 0.3831852724014475 number_of_instances 44819 [23062,17422,4335] precision 0.8291162657414283 [0.861463,0.845153,0.592583] predictive_accuracy 0.8312546018429684 prior_entropy 1.3491090910116912 recall 0.8312546018429684 [0.88197,0.835208,0.545559] relative_absolute_error 0.29358365314946294 root_mean_prior_squared_error 0.43771061915274234 root_mean_squared_error 0.33540562324548023 root_relative_squared_error 0.7662725293133406 total_cost 0 area_under_roc_curve 0.8475756995473127 [0.856156,0.860938,0.748104] area_under_roc_curve 0.847672872816845 [0.854245,0.862592,0.752636] area_under_roc_curve 0.8599887213782399 [0.86964,0.868355,0.775128] area_under_roc_curve 0.8655010433514019 [0.875407,0.876206,0.769902] area_under_roc_curve 0.8614505164623911 [0.869979,0.87628,0.756611] area_under_roc_curve 0.8618573336153365 [0.871371,0.876099,0.754143] area_under_roc_curve 0.8485633804818774 [0.859232,0.862086,0.737601] area_under_roc_curve 0.8529931378893048 [0.865591,0.863532,0.743478] area_under_roc_curve 0.8598982169934924 [0.870866,0.876284,0.735525] area_under_roc_curve 0.8554099312610945 [0.865652,0.867111,0.753786] 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 0.8213874262065476 [0.864224,0.831322,0.553191] f_measure 0.8206006764657914 [0.859422,0.831808,0.568675] f_measure 0.8347338424583741 [0.874326,0.839024,0.607143] f_measure 0.8404915515530156 [0.880086,0.848764,0.596908] f_measure 0.8367749963563449 [0.876333,0.849666,0.57485] f_measure 0.8371226762862579 [0.877403,0.849046,0.575243] f_measure 0.822174441738506 [0.867414,0.832696,0.539568] f_measure 0.8266869142673715 [0.87174,0.833381,0.559803] f_measure 0.831738021499978 [0.874946,0.848347,0.534772] f_measure 0.8283977712026809 [0.870166,0.837236,0.570397] kappa 0.6886138174437155 kappa 0.6881465998823687 kappa 0.7126602177677708 kappa 0.7227469670710572 kappa 0.716076942487888 kappa 0.7170063129566518 kappa 0.6904184096467455 kappa 0.6990037200258622 kappa 0.7080244572780405 kappa 0.7018979614636334 kb_relative_information_score 0.6826819354584346 kb_relative_information_score 0.6826909007639145 kb_relative_information_score 0.7079386937818138 kb_relative_information_score 0.7157067342243819 kb_relative_information_score 0.707808294381486 kb_relative_information_score 0.7081327433140736 kb_relative_information_score 0.682335926058305 kb_relative_information_score 0.6906342388084721 kb_relative_information_score 0.6963977451145095 kb_relative_information_score 0.6946223662198351 mean_absolute_error 0.11839952402201503 mean_absolute_error 0.11884575338390703 mean_absolute_error 0.10962367990480557 mean_absolute_error 0.10575635876840801 mean_absolute_error 0.10798750557786814 mean_absolute_error 0.10754127621597612 mean_absolute_error 0.11750706529823106 mean_absolute_error 0.1142347166443565 mean_absolute_error 0.11140859735237367 mean_absolute_error 0.11366510451536244 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 0.8213152980343984 [0.84507,0.853172,0.566586] precision 0.8197083906286764 [0.854998,0.828962,0.594458] precision 0.8340645277019844 [0.869267,0.838784,0.628079] precision 0.8397845879512053 [0.873878,0.85023,0.616708] precision 0.8360680014842659 [0.861997,0.860931,0.598504] precision 0.8361149972707314 [0.864478,0.855478,0.607692] precision 0.8217158706547774 [0.846471,0.853526,0.5625] precision 0.8254107550267542 [0.859612,0.836028,0.600529] precision 0.8307714485702563 [0.873057,0.843059,0.55611] precision 0.8275183724096362 [0.866982,0.832955,0.595477] predictive_accuracy 0.822400713966979 predictive_accuracy 0.821731369924141 predictive_accuracy 0.8355644801427934 predictive_accuracy 0.8413654618473896 predictive_accuracy 0.8380187416331996 predictive_accuracy 0.8386880856760375 predictive_accuracy 0.8237394020526552 predictive_accuracy 0.8286479250334672 predictive_accuracy 0.8328871039714413 predictive_accuracy 0.8295023432269581 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 recall 0.822400713966979 [0.884265,0.810563,0.540416] recall 0.821731369924141 [0.863893,0.834673,0.545035] recall 0.8355644801427934 [0.879445,0.839265,0.587558] recall 0.8413654618473896 [0.886383,0.847302,0.578341] recall 0.8380187416331994 [0.891154,0.838691,0.552995] recall 0.8386880856760375 [0.89072,0.84271,0.546083] recall 0.8237394020526551 [0.889419,0.812859,0.518433] recall 0.8286479250334672 [0.884215,0.830752,0.524249] recall 0.8328871039714413 [0.876843,0.853701,0.515012] recall 0.8295023432269583 [0.873374,0.841561,0.547344] relative_absolute_error 0.30901681760691685 relative_absolute_error 0.31018145385417906 relative_absolute_error 0.28606590536949844 relative_absolute_error 0.2759740281108728 relative_absolute_error 0.28179626499084914 relative_absolute_error 0.28063181761485384 relative_absolute_error 0.3066378090120807 relative_absolute_error 0.2981323157919587 relative_absolute_error 0.2907566465210637 relative_absolute_error 0.2966499373028023 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 0.3440923190395494 root_mean_squared_error 0.344740124418245 root_mean_squared_error 0.33109466909753404 root_mean_squared_error 0.32520202762038247 root_mean_squared_error 0.32861452429536364 root_mean_squared_error 0.3279348658132833 root_mean_squared_error 0.3427930356617985 root_mean_squared_error 0.33798626694639017 root_mean_squared_error 0.33377926441343486 root_mean_squared_error 0.337142558149164 root_relative_squared_error 0.7861924439619844 root_relative_squared_error 0.7876725691077883 root_relative_squared_error 0.7563723386294255 root_relative_squared_error 0.7429108382466906 root_relative_squared_error 0.7507065484514367 root_relative_squared_error 0.7491538962237169 root_relative_squared_error 0.783096782428158 root_relative_squared_error 0.7722034286095064 root_relative_squared_error 0.7625916126932334 root_relative_squared_error 0.7702867188208644 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 usercpu_time_millis 522982.53517900594 usercpu_time_millis 570987.156194984 usercpu_time_millis 675467.2578240279 usercpu_time_millis 442155.728947022 usercpu_time_millis 694470.0343059376 usercpu_time_millis 646705.0624080002 usercpu_time_millis 441420.7545109675 usercpu_time_millis 604779.0219770395 usercpu_time_millis 523574.12226800807 usercpu_time_millis 677531.5374999773 usercpu_time_millis_testing 2433.7786639807746 usercpu_time_millis_testing 4188.621050969232 usercpu_time_millis_testing 4172.009667032398 usercpu_time_millis_testing 2449.43300698651 usercpu_time_millis_testing 4224.980837956537 usercpu_time_millis_testing 4224.852551997174 usercpu_time_millis_testing 2434.6597389667295 usercpu_time_millis_testing 4202.977586013731 usercpu_time_millis_testing 2453.197335009463 usercpu_time_millis_testing 4178.851676988415 usercpu_time_millis_training 520548.75651502516 usercpu_time_millis_training 566798.5351440147 usercpu_time_millis_training 671295.2481569955 usercpu_time_millis_training 439706.2959400355 usercpu_time_millis_training 690245.053467981 usercpu_time_millis_training 642480.209856003 usercpu_time_millis_training 438986.0947720008 usercpu_time_millis_training 600576.0443910258 usercpu_time_millis_training 521120.9249329986 usercpu_time_millis_training 673352.6858229889 wall_clock_time_millis 522988.0657196045 wall_clock_time_millis 570995.852470398 wall_clock_time_millis 675481.3108444214 wall_clock_time_millis 442156.3675403595 wall_clock_time_millis 694478.0101776123 wall_clock_time_millis 646720.0775146484 wall_clock_time_millis 441448.18925857544 wall_clock_time_millis 604801.4760017395 wall_clock_time_millis 523575.55890083313 wall_clock_time_millis 677542.4435138702 wall_clock_time_millis_testing 2433.8088035583496 wall_clock_time_millis_testing 4188.6537075042725 wall_clock_time_millis_testing 4172.014474868774 wall_clock_time_millis_testing 2449.4497776031494 wall_clock_time_millis_testing 4225.006341934204 wall_clock_time_millis_testing 4224.880218505859 wall_clock_time_millis_testing 2434.903621673584 wall_clock_time_millis_testing 4203.011751174927 wall_clock_time_millis_testing 2453.216075897217 wall_clock_time_millis_testing 4178.888559341431 wall_clock_time_millis_training 520554.25691604614 wall_clock_time_millis_training 566807.1987628937 wall_clock_time_millis_training 671309.2963695526 wall_clock_time_millis_training 439706.91776275635 wall_clock_time_millis_training 690253.0038356781 wall_clock_time_millis_training 642495.1972961426 wall_clock_time_millis_training 439013.28563690186 wall_clock_time_millis_training 600598.4642505646 wall_clock_time_millis_training 521122.3428249359 wall_clock_time_millis_training 673363.5549545288