10559592 8323 Heinrich Peters 14969 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8271800 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 21.326392878764878 17495 cache_size 200 17495 class_weight null 17495 coef0 0.1522555303860622 17495 decision_function_shape "ovr" 17495 degree 1 17495 gamma 0.007801179012523081 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 4538 GesturePhaseSegmentationProcessed https://www.openml.org/data/download/1798765/phpYLeydd -1 22044171 description https://api.openml.org/data/download/22044171/description.xml -1 22044172 predictions https://api.openml.org/data/download/22044172/predictions.arff area_under_roc_curve 0.7617000724370807 [0.832554,0.729132,0.723759,0.795647,0.721346] average_cost 0 f_measure 0.4065903896200677 [0.616974,0.007968,0.346354,0.042068,0.523104] kappa 0.2763743783038374 kb_relative_information_score 0.22833078044650823 mean_absolute_error 0.26757174297489517 mean_prior_absolute_error 0.3064842019667116 weighted_recall 0.4779702218170769 [0.860635,0.004008,0.253696,0.022079,0.610169] number_of_instances 9873 [2741,998,2097,1087,2950] precision 0.5024909669260597 [0.48084,0.666667,0.545641,0.444444,0.457782] predictive_accuracy 0.4779702218170769 prior_entropy 2.193423777764492 relative_absolute_error 0.8730360040024416 root_mean_prior_squared_error 0.39145712447409964 root_mean_squared_error 0.36250493078700446 root_relative_squared_error 0.9260399367466084 total_cost 0 unweighted_recall 0.3501174370100507 [0.860635,0.004008,0.253696,0.022079,0.610169] area_under_roc_curve 0.7608190246781729 [0.818694,0.747736,0.699412,0.788855,0.744853] area_under_roc_curve 0.764581537345008 [0.824787,0.765327,0.744938,0.757345,0.725067] area_under_roc_curve 0.7645859958607029 [0.835301,0.736937,0.731326,0.804501,0.717206] area_under_roc_curve 0.752496958448335 [0.814555,0.71509,0.698627,0.788918,0.732301] area_under_roc_curve 0.7511625628583712 [0.840077,0.704557,0.728486,0.822631,0.673895] area_under_roc_curve 0.7733846429284538 [0.834231,0.748715,0.748741,0.810412,0.72922] area_under_roc_curve 0.7652293213322449 [0.840609,0.715953,0.736594,0.849682,0.701386] area_under_roc_curve 0.7592704131424313 [0.831231,0.711736,0.70929,0.761405,0.743166] area_under_roc_curve 0.763712932918595 [0.839662,0.730519,0.714542,0.817663,0.719325] area_under_roc_curve 0.7662702673354225 [0.847022,0.71248,0.727531,0.775553,0.733516] 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 0.41123327649302294 [0.612946,0.019802,0.345679,0.064516,0.531343] f_measure 0.4174185494259688 [0.619108,0.019802,0.382445,0.054054,0.522796] f_measure 0.4269044011668023 [0.634409,0.019802,0.367893,0.10084,0.534459] kappa 0.27802889603138925 kappa 0.2855248885139207 kappa 0.28750236006751567 kappa 0.2429384491676694 kappa 0.2523217036933671 kappa 0.2749115158901231 kappa 0.2889453162743906 kappa 0.2632688421268967 kappa 0.29908249830289935 kappa 0.2909957740356178 kb_relative_information_score 0.22961797060229489 kb_relative_information_score 0.2298010684996069 kb_relative_information_score 0.23479791580567724 kb_relative_information_score 0.21986014338712356 kb_relative_information_score 0.22518539060810125 kb_relative_information_score 0.2325149329190727 kb_relative_information_score 0.2332424304887084 kb_relative_information_score 0.22263882685757747 kb_relative_information_score 0.23130221021500472 kb_relative_information_score 0.2243336931951774 mean_absolute_error 0.2671627323798097 mean_absolute_error 0.2670036768912088 mean_absolute_error 0.2657457983960693 mean_absolute_error 0.26941215039596716 mean_absolute_error 0.26873264511030825 mean_absolute_error 0.2671271118972149 mean_absolute_error 0.26680130351118214 mean_absolute_error 0.26828287524578104 mean_absolute_error 0.26689739220595343 mean_absolute_error 0.2685545836559368 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30646060253225527 mean_prior_absolute_error 0.3063927432405889 mean_prior_absolute_error 0.3064642539693521 mean_prior_absolute_error 0.3064642539693521 mean_prior_absolute_error 0.30650569162629465 mean_prior_absolute_error 0.30650569162629465 mean_prior_absolute_error 0.30650569162629465 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 0.5099817754207734 [0.480331,1,0.491228,0.266667,0.474667] precision 0.6034447883217571 [0.475538,1,0.559633,1,0.473829] precision 0.5728883261081087 [0.502128,1,0.611111,0.6,0.456731] predictive_accuracy 0.4767206477732793 predictive_accuracy 0.4838056680161943 predictive_accuracy 0.48582995951417 predictive_accuracy 0.4549138804457954 predictive_accuracy 0.46099290780141844 predictive_accuracy 0.4772036474164134 predictive_accuracy 0.48632218844984804 predictive_accuracy 0.47011144883485306 predictive_accuracy 0.4944275582573455 predictive_accuracy 0.48936170212765956 prior_entropy 2.19399681440811 prior_entropy 2.19399681440811 prior_entropy 2.19399681440811 prior_entropy 2.1928705068385277 prior_entropy 2.191519392335459 prior_entropy 2.1929952504793158 prior_entropy 2.1929952504793158 prior_entropy 2.193955064178735 prior_entropy 2.193955064178735 prior_entropy 2.193955064178735 relative_absolute_error 0.8716157891275128 relative_absolute_error 0.8710968721589034 relative_absolute_error 0.8669930559289929 relative_absolute_error 0.8791085972220892 relative_absolute_error 0.877085541478674 relative_absolute_error 0.8716419890325247 relative_absolute_error 0.8705788686789668 relative_absolute_error 0.8752949213513577 relative_absolute_error 0.8707746691091355 relative_absolute_error 0.8761813923617787 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914269802492724 root_mean_prior_squared_error 0.39134028871992976 root_mean_prior_squared_error 0.3914316444849103 root_mean_prior_squared_error 0.3914316444849103 root_mean_prior_squared_error 0.3914845718046929 root_mean_prior_squared_error 0.3914845718046929 root_mean_prior_squared_error 0.3914845718046929 root_mean_squared_error 0.3630617493263435 root_mean_squared_error 0.3616354361487146 root_mean_squared_error 0.361082606744138 root_mean_squared_error 0.363993509867039 root_mean_squared_error 0.365079127165161 root_mean_squared_error 0.36099600988619035 root_mean_squared_error 0.3619893041779742 root_mean_squared_error 0.3638801066259336 root_mean_squared_error 0.3616667760539284 root_mean_squared_error 0.361641866595231 root_relative_squared_error 0.9273711924603875 root_relative_squared_error 0.9237279506294483 root_relative_squared_error 0.9223158545738858 root_relative_squared_error 0.9299142068215049 root_relative_squared_error 0.9328943062809384 root_relative_squared_error 0.9222453395693888 root_relative_squared_error 0.9247829328012567 root_relative_squared_error 0.9294877316582201 root_relative_squared_error 0.9238340463500045 root_relative_squared_error 0.9237704181498368 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 0.3526938146697433 [0.846715,0.01,0.266667,0.036697,0.60339] unweighted_recall 0.35830552794140436 [0.861314,0,0.280952,0.045872,0.60339] unweighted_recall 0.35851183983644563 [0.857664,0,0.261905,0.045872,0.627119] unweighted_recall 0.32695604531556527 [0.832117,0,0.185714,0,0.616949] unweighted_recall 0.33692743414777315 [0.843636,0,0.295238,0,0.545763] unweighted_recall 0.3467815462198736 [0.868613,0,0.261905,0,0.60339] unweighted_recall 0.3596332259160417 [0.886861,0.01,0.290476,0.027778,0.583051] unweighted_recall 0.3385449047863198 [0.857664,0,0.181818,0.009174,0.644068] unweighted_recall 0.36671708630395666 [0.861314,0.01,0.263158,0.055046,0.644068] unweighted_recall 0.35596465024651536 [0.890511,0.01,0.248804,0,0.630508] usercpu_time_millis 37066.02600000042 usercpu_time_millis 36430.37199999981 usercpu_time_millis 37063.208000000486 usercpu_time_millis 37093.94800000064 usercpu_time_millis 41649.40999999999 usercpu_time_millis 44867.43999999999 usercpu_time_millis 40755.19799999984 usercpu_time_millis 37400.101999999606 usercpu_time_millis 37868.570000000545 usercpu_time_millis 47040.18999999971 usercpu_time_millis_testing 449.3160000001808 usercpu_time_millis_testing 440.5980000001364 usercpu_time_millis_testing 443.2520000000295 usercpu_time_millis_testing 498.5880000003817 usercpu_time_millis_testing 481.4939999996568 usercpu_time_millis_testing 568.7360000001718 usercpu_time_millis_testing 451.63400000001275 usercpu_time_millis_testing 447.54199999988487 usercpu_time_millis_testing 442.3900000001595 usercpu_time_millis_testing 455.8499999993728 usercpu_time_millis_training 36616.71000000024 usercpu_time_millis_training 35989.77399999967 usercpu_time_millis_training 36619.95600000046 usercpu_time_millis_training 36595.360000000255 usercpu_time_millis_training 41167.91600000033 usercpu_time_millis_training 44298.703999999816 usercpu_time_millis_training 40303.563999999824 usercpu_time_millis_training 36952.55999999972 usercpu_time_millis_training 37426.180000000386 usercpu_time_millis_training 46584.34000000034 wall_clock_time_millis 18904.294967651367 wall_clock_time_millis 18564.537048339844 wall_clock_time_millis 18878.835916519165 wall_clock_time_millis 18991.80316925049 wall_clock_time_millis 21407.800912857056 wall_clock_time_millis 23168.542623519897 wall_clock_time_millis 20792.34266281128 wall_clock_time_millis 19073.458909988403 wall_clock_time_millis 19291.35823249817 wall_clock_time_millis 26112.504243850708 wall_clock_time_millis_testing 225.15106201171875 wall_clock_time_millis_testing 220.68214416503906 wall_clock_time_millis_testing 224.67398643493652 wall_clock_time_millis_testing 251.86395645141602 wall_clock_time_millis_testing 243.3478832244873 wall_clock_time_millis_testing 300.31371116638184 wall_clock_time_millis_testing 227.3998260498047 wall_clock_time_millis_testing 225.70204734802246 wall_clock_time_millis_testing 221.79007530212402 wall_clock_time_millis_testing 228.6539077758789 wall_clock_time_millis_training 18679.14390563965 wall_clock_time_millis_training 18343.854904174805 wall_clock_time_millis_training 18654.16193008423 wall_clock_time_millis_training 18739.939212799072 wall_clock_time_millis_training 21164.45302963257 wall_clock_time_millis_training 22868.228912353516 wall_clock_time_millis_training 20564.942836761475 wall_clock_time_millis_training 18847.75686264038 wall_clock_time_millis_training 19069.568157196045 wall_clock_time_millis_training 25883.85033607483 weighted_recall 0.4767206477732793 [0.846715,0.01,0.266667,0.036697,0.60339] weighted_recall 0.48380566801619435 [0.861314,0,0.280952,0.045872,0.60339] weighted_recall 0.48582995951417 [0.857664,0,0.261905,0.045872,0.627119] weighted_recall 0.45491388044579534 [0.832117,0,0.185714,0,0.616949] weighted_recall 0.46099290780141844 [0.843636,0,0.295238,0,0.545763] weighted_recall 0.47720364741641336 [0.868613,0,0.261905,0,0.60339] weighted_recall 0.48632218844984804 [0.886861,0.01,0.290476,0.027778,0.583051] weighted_recall 0.47011144883485306 [0.857664,0,0.181818,0.009174,0.644068] weighted_recall 0.49442755825734547 [0.861314,0.01,0.263158,0.055046,0.644068] weighted_recall 0.48936170212765956 [0.890511,0.01,0.248804,0,0.630508]