10381277 8323 Heinrich Peters 9960 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8231650 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 13150.458449119973 13389 cache_size 200 13389 class_weight null 13389 coef0 0.14901796408205747 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 5.107606853951426e-05 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 21684263 description https://api.openml.org/data/download/21684263/description.xml -1 21684264 predictions https://api.openml.org/data/download/21684264/predictions.arff area_under_roc_curve 0.8603703061481779 [0.84534,0.883117,0.896332,0.828465] average_cost 0 f_measure 0.8208775185810808 [0.815688,0.852504,0.824451,0.75302] kappa 0.7286114166827936 kb_relative_information_score 0.7464327321670811 mean_absolute_error 0.08880131964809385 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.823264004207006 [0.815503,0.818981,0.848387,0.84488] predictive_accuracy 0.8223973607038123 prior_entropy 1.7146330399083418 recall 0.8223973607038123 [0.815873,0.888889,0.801829,0.679177] relative_absolute_error 0.26808904581249604 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.29799550273132286 root_relative_squared_error 0.73227726469639 total_cost 0 area_under_roc_curve 0.875448055003409 [0.872127,0.890179,0.876839,0.846115] area_under_roc_curve 0.8565661870562051 [0.845701,0.886012,0.859738,0.809162] area_under_roc_curve 0.8495021262038139 [0.841662,0.860417,0.905192,0.820526] area_under_roc_curve 0.8700885119512871 [0.850125,0.900893,0.873915,0.843543] area_under_roc_curve 0.8621838748218192 [0.832571,0.880357,0.919369,0.871959] area_under_roc_curve 0.8390146926767008 [0.827175,0.862798,0.901294,0.785462] area_under_roc_curve 0.8560748154699451 [0.835245,0.884364,0.928728,0.811701] area_under_roc_curve 0.8677670607495168 [0.861558,0.878275,0.934576,0.832082] area_under_roc_curve 0.8664519524449948 [0.85528,0.90039,0.89101,0.800176] area_under_roc_curve 0.8606373246092694 [0.831832,0.887524,0.874882,0.86401] 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 0.8431569505406593 [0.847007,0.861751,0.833333,0.789116] f_measure 0.8144649565765301 [0.816327,0.855204,0.786885,0.716216] f_measure 0.8081899990712633 [0.810934,0.825397,0.84375,0.743243] f_measure 0.8315031636737389 [0.821346,0.87191,0.793651,0.771242] f_measure 0.8254745523077512 [0.8,0.849315,0.848485,0.823529] f_measure 0.7919201518927825 [0.793651,0.828054,0.794118,0.695035] f_measure 0.8146828156614707 [0.803571,0.855814,0.811594,0.741259] f_measure 0.8284586468439128 [0.835616,0.847222,0.888889,0.738854] f_measure 0.8282130594985496 [0.82774,0.872146,0.83871,0.713287] f_measure 0.8212792440959362 [0.8,0.858469,0.806452,0.789809] kappa 0.7608040201005024 kappa 0.7191935815675786 kappa 0.7088119461765672 kappa 0.7459114479457519 kappa 0.7354070915184377 kappa 0.6860893089057375 kappa 0.7197957851116445 kappa 0.7405120643843401 kappa 0.740555420446137 kappa 0.7290655541945767 kb_relative_information_score 0.7717023606110663 kb_relative_information_score 0.7317571616880282 kb_relative_information_score 0.7308569630064894 kb_relative_information_score 0.7590849375638727 kb_relative_information_score 0.7606519919187353 kb_relative_information_score 0.7075500722431781 kb_relative_information_score 0.7410824242434182 kb_relative_information_score 0.7613270739865898 kb_relative_information_score 0.7515609621178099 kb_relative_information_score 0.748834258886985 mean_absolute_error 0.07783882783882784 mean_absolute_error 0.09157509157509157 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.08333333333333333 mean_absolute_error 0.08699633699633699 mean_absolute_error 0.10256410256410256 mean_absolute_error 0.09174311926605505 mean_absolute_error 0.0853211009174312 mean_absolute_error 0.08440366972477065 mean_absolute_error 0.0889908256880734 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 0.847185665350381 [0.830435,0.834821,0.925926,0.892308] precision 0.8169047017569184 [0.818182,0.814655,0.857143,0.80303] precision 0.8117949369181566 [0.812785,0.787879,0.870968,0.846154] precision 0.8340084395933659 [0.838863,0.825532,0.833333,0.842857] precision 0.8279529324204966 [0.809302,0.815789,0.848485,0.9] precision 0.7974954744191085 [0.791855,0.788793,0.771429,0.844828] precision 0.8199146000836005 [0.789474,0.836364,0.756757,0.883333] precision 0.8290674541508961 [0.843318,0.820628,0.903226,0.783784] precision 0.8318705337327086 [0.818584,0.834061,0.896552,0.836066] precision 0.8220347066632574 [0.803653,0.833333,0.862069,0.826667] predictive_accuracy 0.8443223443223444 predictive_accuracy 0.8168498168498168 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.826007326007326 predictive_accuracy 0.7948717948717949 predictive_accuracy 0.8165137614678899 predictive_accuracy 0.8293577981651375 predictive_accuracy 0.8311926605504587 predictive_accuracy 0.8220183486238533 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 recall 0.8443223443223443 [0.864253,0.890476,0.757576,0.707317] recall 0.8168498168498168 [0.81448,0.9,0.727273,0.646341] recall 0.8095238095238095 [0.809091,0.866667,0.818182,0.662651] recall 0.8333333333333334 [0.804545,0.92381,0.757576,0.710843] recall 0.826007326007326 [0.790909,0.885714,0.848485,0.759036] recall 0.7948717948717948 [0.795455,0.871429,0.818182,0.590361] recall 0.8165137614678899 [0.818182,0.87619,0.875,0.638554] recall 0.8293577981651377 [0.828054,0.875598,0.875,0.698795] recall 0.8311926605504587 [0.837104,0.913876,0.787879,0.621951] recall 0.8220183486238533 [0.79638,0.885167,0.757576,0.756098] relative_absolute_error 0.2350607759487396 relative_absolute_error 0.2765420893514583 relative_absolute_error 0.28740303741037654 relative_absolute_error 0.25147765773407943 relative_absolute_error 0.2625316207114016 relative_absolute_error 0.3095109633650209 relative_absolute_error 0.2770686140632115 relative_absolute_error 0.25768793360950387 relative_absolute_error 0.25485268802311106 relative_absolute_error 0.2687033775895845 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 0.27899610721088536 root_mean_squared_error 0.3026137663344012 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.28867513459481287 root_mean_squared_error 0.2949514146369483 root_mean_squared_error 0.32025630761017426 root_mean_squared_error 0.3028912664076913 root_mean_squared_error 0.2920977591790653 root_mean_squared_error 0.2905230967148234 root_mean_squared_error 0.29831330122552935 root_relative_squared_error 0.6857854128491303 root_relative_squared_error 0.7438387178735898 root_relative_squared_error 0.7580401594306714 root_relative_squared_error 0.7090816405012669 root_relative_squared_error 0.7244982608304454 root_relative_squared_error 0.7866554502515202 root_relative_squared_error 0.7445721968207315 root_relative_squared_error 0.7180787962711102 root_relative_squared_error 0.7140272023081968 root_relative_squared_error 0.7331734182032039 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 2368.200309999999 usercpu_time_millis 2204.6028210000086 usercpu_time_millis 2263.5713640000076 usercpu_time_millis 2151.2174710000027 usercpu_time_millis 2259.6825480000007 usercpu_time_millis 2395.3991439999954 usercpu_time_millis 2445.6821969999964 usercpu_time_millis 2217.2221300000033 usercpu_time_millis 2297.2190190000038 usercpu_time_millis 2586.986889000002 usercpu_time_millis_testing 100.23690700000287 usercpu_time_millis_testing 90.58586000000446 usercpu_time_millis_testing 99.97874100000104 usercpu_time_millis_testing 92.3803650000039 usercpu_time_millis_testing 92.745788000002 usercpu_time_millis_testing 92.21549200000112 usercpu_time_millis_testing 94.6621199999953 usercpu_time_millis_testing 108.03797399999837 usercpu_time_millis_testing 92.65741900000535 usercpu_time_millis_testing 106.92927300000576 usercpu_time_millis_training 2267.963402999996 usercpu_time_millis_training 2114.0169610000044 usercpu_time_millis_training 2163.592623000007 usercpu_time_millis_training 2058.8371059999986 usercpu_time_millis_training 2166.9367599999987 usercpu_time_millis_training 2303.1836519999943 usercpu_time_millis_training 2351.020077000001 usercpu_time_millis_training 2109.184156000005 usercpu_time_millis_training 2204.561599999998 usercpu_time_millis_training 2480.0576159999964 wall_clock_time_millis 2368.288278579712 wall_clock_time_millis 2204.876661300659 wall_clock_time_millis 2263.6501789093018 wall_clock_time_millis 2151.639461517334 wall_clock_time_millis 2259.7689628601074 wall_clock_time_millis 2395.7247734069824 wall_clock_time_millis 2446.108818054199 wall_clock_time_millis 2218.916416168213 wall_clock_time_millis 2297.3196506500244 wall_clock_time_millis 2587.1143341064453 wall_clock_time_millis_testing 100.24690628051758 wall_clock_time_millis_testing 90.59476852416992 wall_clock_time_millis_testing 99.98726844787598 wall_clock_time_millis_testing 92.38743782043457 wall_clock_time_millis_testing 92.75388717651367 wall_clock_time_millis_testing 92.2236442565918 wall_clock_time_millis_testing 94.67053413391113 wall_clock_time_millis_testing 108.0465316772461 wall_clock_time_millis_testing 92.66543388366699 wall_clock_time_millis_testing 106.95171356201172 wall_clock_time_millis_training 2268.0413722991943 wall_clock_time_millis_training 2114.2818927764893 wall_clock_time_millis_training 2163.662910461426 wall_clock_time_millis_training 2059.2520236968994 wall_clock_time_millis_training 2167.0150756835938 wall_clock_time_millis_training 2303.5011291503906 wall_clock_time_millis_training 2351.438283920288 wall_clock_time_millis_training 2110.869884490967 wall_clock_time_millis_training 2204.6542167663574 wall_clock_time_millis_training 2480.1626205444336