10559465 8323 Heinrich Peters 9960 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8272177 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 14323.47583138456 17495 cache_size 200 17495 class_weight null 17495 coef0 0.19270740154340582 17495 decision_function_shape "ovr" 17495 degree 4 17495 gamma 1.3587589842430956e-05 17495 kernel "sigmoid" 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22043902 description https://api.openml.org/data/download/22043902/description.xml -1 22043903 predictions https://api.openml.org/data/download/22043903/predictions.arff area_under_roc_curve 0.8899441536660987 [0.874313,0.880982,0.969878,0.922681] average_cost 0 f_measure 0.7174750902963676 [0.742197,0.750541,0.620232,0.606149] kappa 0.570497565742644 kb_relative_information_score 0.510159670544741 mean_absolute_error 0.19806971845752439 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.7219574780058651 [0.727891,0.826419,0.570122,0.501211] number_of_instances 5456 [2205,2097,328,826] precision 0.7271241966396853 [0.757075,0.687426,0.68,0.766667] predictive_accuracy 0.7219574780058652 prior_entropy 1.7146330399083418 relative_absolute_error 0.5979677107959203 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3079993041107672 root_relative_squared_error 0.7568600394146725 total_cost 0 unweighted_recall 0.6564106137016518 [0.727891,0.826419,0.570122,0.501211] area_under_roc_curve 0.8956910410451507 [0.887463,0.884751,0.972237,0.915081] area_under_roc_curve 0.8860468317494171 [0.874375,0.872435,0.969283,0.918866] area_under_roc_curve 0.8799807067693594 [0.861405,0.865972,0.970229,0.928778] area_under_roc_curve 0.894495931747503 [0.875864,0.893849,0.954988,0.921466] area_under_roc_curve 0.8864996412105292 [0.86135,0.882596,0.96763,0.930781] area_under_roc_curve 0.8826546745768094 [0.87355,0.868396,0.963376,0.910771] area_under_roc_curve 0.88051973378269 [0.85628,0.874499,0.979837,0.921713] area_under_roc_curve 0.8979043469808801 [0.889434,0.879115,0.98605,0.933787] area_under_roc_curve 0.9075260258804678 [0.901402,0.900319,0.963364,0.919928] area_under_roc_curve 0.8907845746220818 [0.863723,0.891262,0.977332,0.927672] 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 0.7306976697960432 [0.778281,0.757112,0.561404,0.602941] f_measure 0.7005908171441058 [0.729792,0.734783,0.603175,0.573529] f_measure 0.722135748676933 [0.737589,0.742489,0.738462,0.623188] f_measure 0.7170849208270225 [0.741784,0.760085,0.45283,0.647887] f_measure 0.7130279372343629 [0.717949,0.746781,0.557377,0.676471] f_measure 0.7068564059182422 [0.734694,0.747253,0.705882,0.53125] f_measure 0.6911599625447675 [0.703448,0.741228,0.666667,0.541353] f_measure 0.7237484540229667 [0.758621,0.740576,0.711864,0.593103] f_measure 0.7338217652889926 [0.76815,0.766949,0.571429,0.622222] f_measure 0.7306964943440518 [0.751152,0.767241,0.581818,0.642336] kappa 0.590894190493535 kappa 0.5453435809378007 kappa 0.5779981965734895 kappa 0.5715510655878271 kappa 0.561622974001958 kappa 0.5590300068338545 kappa 0.533649333340248 kappa 0.5795602222187706 kappa 0.5957205618852095 kappa 0.5900136348676477 kb_relative_information_score 0.5202216633309259 kb_relative_information_score 0.4961516669560197 kb_relative_information_score 0.5054375808483982 kb_relative_information_score 0.5073981761211472 kb_relative_information_score 0.5120881134953075 kb_relative_information_score 0.4962423944864875 kb_relative_information_score 0.5078554120607776 kb_relative_information_score 0.5306576718065068 kb_relative_information_score 0.5202951220886852 kb_relative_information_score 0.5053390596619607 mean_absolute_error 0.19341193113281224 mean_absolute_error 0.20205845836650288 mean_absolute_error 0.19962669156782797 mean_absolute_error 0.19749185428355948 mean_absolute_error 0.19843365337880967 mean_absolute_error 0.20282281542460423 mean_absolute_error 0.19836782141231565 mean_absolute_error 0.1929766402547317 mean_absolute_error 0.19282684593880145 mean_absolute_error 0.20267051484572213 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 0.7387257866340188 [0.778281,0.700405,0.666667,0.759259] precision 0.7084061710476804 [0.745283,0.676,0.633333,0.722222] precision 0.7337344523805422 [0.768473,0.675781,0.75,0.781818] precision 0.727605708773254 [0.76699,0.685824,0.6,0.779661] precision 0.7269470481550653 [0.736842,0.679688,0.607143,0.867925] precision 0.7185365138823446 [0.733032,0.693878,0.685714,0.755556] precision 0.699618925817893 [0.711628,0.686992,0.647059,0.72] precision 0.7285832550584883 [0.771028,0.690083,0.777778,0.693548] precision 0.7481025748413914 [0.796117,0.688213,0.695652,0.792453] precision 0.7424078198277633 [0.765258,0.698039,0.727273,0.8] predictive_accuracy 0.7362637362637362 predictive_accuracy 0.7051282051282051 predictive_accuracy 0.7252747252747253 predictive_accuracy 0.7234432234432235 predictive_accuracy 0.716117216117216 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6972477064220183 predictive_accuracy 0.7266055045871559 predictive_accuracy 0.7394495412844038 predictive_accuracy 0.7357798165137615 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 0.5840730117873735 relative_absolute_error 0.6101841372660562 relative_absolute_error 0.6024198338001707 relative_absolute_error 0.5959774672414759 relative_absolute_error 0.5988195644078311 relative_absolute_error 0.612064878696132 relative_absolute_error 0.5990803211525935 relative_absolute_error 0.5828306377606407 relative_absolute_error 0.5822310827333568 relative_absolute_error 0.6119535520183862 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 0.30395769819499735 root_mean_squared_error 0.3117196910032647 root_mean_squared_error 0.3124892836936224 root_mean_squared_error 0.3066715220083787 root_mean_squared_error 0.30859477420782605 root_mean_squared_error 0.313048153279468 root_mean_squared_error 0.31309963960294535 root_mean_squared_error 0.30262679301709233 root_mean_squared_error 0.3002959035851247 root_mean_squared_error 0.3071606841755879 root_relative_squared_error 0.7471421649183309 root_relative_squared_error 0.7662215043964479 root_relative_squared_error 0.7675770697450334 root_relative_squared_error 0.7532867222039877 root_relative_squared_error 0.7580108659256003 root_relative_squared_error 0.7689498383532956 root_relative_squared_error 0.7696665844737758 root_relative_squared_error 0.7439628563390731 root_relative_squared_error 0.7380461186257149 root_relative_squared_error 0.7549178927975271 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 0.6467346379111085 [0.778281,0.82381,0.484848,0.5] unweighted_recall 0.6427653408284685 [0.714932,0.804762,0.575758,0.47561] unweighted_recall 0.6945613623324467 [0.709091,0.82381,0.727273,0.518072] unweighted_recall 0.6221040004172533 [0.718182,0.852381,0.363636,0.554217] unweighted_recall 0.6494849527982058 [0.7,0.828571,0.515152,0.554217] unweighted_recall 0.6706996818442601 [0.736364,0.809524,0.727273,0.409639] unweighted_recall 0.6553628474938716 [0.695455,0.804762,0.6875,0.433735] unweighted_recall 0.6799929215498031 [0.746606,0.799043,0.65625,0.518072] unweighted_recall 0.6512884407243692 [0.742081,0.866029,0.484848,0.512195] unweighted_recall 0.6526662632341104 [0.737557,0.851675,0.484848,0.536585] usercpu_time_millis 8654.196000000184 usercpu_time_millis 8855.14000000012 usercpu_time_millis 8647.284000000014 usercpu_time_millis 8785.531999999988 usercpu_time_millis 8889.448000000015 usercpu_time_millis 8631.04199999998 usercpu_time_millis 8704.708000000097 usercpu_time_millis 8644.716000000131 usercpu_time_millis 8625.633999999991 usercpu_time_millis 8589.02599999999 usercpu_time_millis_testing 122.53200000009201 usercpu_time_millis_testing 122.62400000008711 usercpu_time_millis_testing 121.53000000000702 usercpu_time_millis_testing 122.28000000004613 usercpu_time_millis_testing 128.83799999997336 usercpu_time_millis_testing 121.81199999997716 usercpu_time_millis_testing 123.59200000003057 usercpu_time_millis_testing 119.88800000005995 usercpu_time_millis_testing 118.34399999997913 usercpu_time_millis_testing 122.87400000002435 usercpu_time_millis_training 8531.664000000092 usercpu_time_millis_training 8732.516000000032 usercpu_time_millis_training 8525.754000000006 usercpu_time_millis_training 8663.251999999942 usercpu_time_millis_training 8760.610000000042 usercpu_time_millis_training 8509.230000000003 usercpu_time_millis_training 8581.116000000065 usercpu_time_millis_training 8524.82800000007 usercpu_time_millis_training 8507.290000000012 usercpu_time_millis_training 8466.151999999965 wall_clock_time_millis 4648.599863052368 wall_clock_time_millis 4689.413070678711 wall_clock_time_millis 4722.461700439453 wall_clock_time_millis 4965.867280960083 wall_clock_time_millis 4788.88201713562 wall_clock_time_millis 4877.742290496826 wall_clock_time_millis 4946.7315673828125 wall_clock_time_millis 4789.633989334106 wall_clock_time_millis 4838.543891906738 wall_clock_time_millis 4821.366786956787 wall_clock_time_millis_testing 72.13401794433594 wall_clock_time_millis_testing 70.83010673522949 wall_clock_time_millis_testing 66.7867660522461 wall_clock_time_millis_testing 68.47906112670898 wall_clock_time_millis_testing 68.90416145324707 wall_clock_time_millis_testing 74.27215576171875 wall_clock_time_millis_testing 74.85222816467285 wall_clock_time_millis_testing 61.177968978881836 wall_clock_time_millis_testing 63.78602981567383 wall_clock_time_millis_testing 71.39277458190918 wall_clock_time_millis_training 4576.465845108032 wall_clock_time_millis_training 4618.582963943481 wall_clock_time_millis_training 4655.674934387207 wall_clock_time_millis_training 4897.388219833374 wall_clock_time_millis_training 4719.977855682373 wall_clock_time_millis_training 4803.470134735107 wall_clock_time_millis_training 4871.87933921814 wall_clock_time_millis_training 4728.456020355225 wall_clock_time_millis_training 4774.757862091064 wall_clock_time_millis_training 4749.974012374878 weighted_recall 0.7362637362637363 [0.778281,0.82381,0.484848,0.5] weighted_recall 0.7051282051282052 [0.714932,0.804762,0.575758,0.47561] weighted_recall 0.7252747252747253 [0.709091,0.82381,0.727273,0.518072] weighted_recall 0.7234432234432234 [0.718182,0.852381,0.363636,0.554217] weighted_recall 0.7161172161172161 [0.7,0.828571,0.515152,0.554217] weighted_recall 0.7142857142857143 [0.736364,0.809524,0.727273,0.409639] weighted_recall 0.6972477064220184 [0.695455,0.804762,0.6875,0.433735] weighted_recall 0.726605504587156 [0.746606,0.799043,0.65625,0.518072] weighted_recall 0.7394495412844037 [0.742081,0.866029,0.484848,0.512195] weighted_recall 0.7357798165137615 [0.737557,0.851675,0.484848,0.536585]