10381950 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) 8231655 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 1066.720249983584 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5152191769846266 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.08929278293093357 13389 kernel "poly" 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 21685609 description https://api.openml.org/data/download/21685609/description.xml -1 21685610 predictions https://api.openml.org/data/download/21685610/predictions.arff area_under_roc_curve 0.790474087563544 [0.786366,0.79942,0.793701,0.777447] average_cost 0 f_measure 0.7303156670500143 [0.743905,0.754235,0.635783,0.670851] kappa 0.589385729141677 kb_relative_information_score 0.6161826913236945 mean_absolute_error 0.13379765395894427 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.7370307082400813 [0.762131,0.700163,0.667785,0.791118] predictive_accuracy 0.7324046920821113 prior_entropy 1.7146330399083418 recall 0.7324046920821115 [0.726531,0.817358,0.606707,0.582324] relative_absolute_error 0.4039318956514388 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3657836163074342 root_relative_squared_error 0.8988559342852359 total_cost 0 area_under_roc_curve 0.7950064900314446 [0.807511,0.81369,0.718501,0.744244] area_under_roc_curve 0.7834520504030485 [0.786697,0.783036,0.822612,0.760014] area_under_roc_curve 0.789598352381821 [0.78246,0.784821,0.886142,0.782222] area_under_roc_curve 0.7942985635691329 [0.790073,0.812202,0.704324,0.795974] area_under_roc_curve 0.7832189405750718 [0.77104,0.794643,0.714602,0.813878] area_under_roc_curve 0.7881513117956052 [0.782348,0.791071,0.878345,0.760285] area_under_roc_curve 0.7827683622420463 [0.767517,0.792857,0.830105,0.779416] area_under_roc_curve 0.797054715914365 [0.79851,0.794771,0.838877,0.782807] area_under_roc_curve 0.7971538839392849 [0.799334,0.813646,0.766868,0.761431] area_under_roc_curve 0.794093254533685 [0.778043,0.813589,0.77909,0.793697] 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 0.733964542279697 [0.771619,0.770601,0.526316,0.622222] f_measure 0.718192527402273 [0.743529,0.735683,0.666667,0.62585] f_measure 0.7314024192208471 [0.737589,0.737991,0.776119,0.680556] f_measure 0.73220536120146 [0.747045,0.768898,0.509091,0.688742] f_measure 0.723742102174519 [0.723404,0.749465,0.491803,0.751773] f_measure 0.7251280399608003 [0.73903,0.744395,0.693333,0.652174] f_measure 0.7218486208880165 [0.722727,0.746606,0.647059,0.685714] f_measure 0.7401741784915368 [0.759259,0.74833,0.745763,0.666667] f_measure 0.7390505527782173 [0.759907,0.769892,0.631579,0.647482] f_measure 0.7334653645515049 [0.733645,0.769912,0.622951,0.684564] kappa 0.5960991466883381 kappa 0.5724178878350642 kappa 0.5916000225420228 kappa 0.5946297098310959 kappa 0.5772859590808679 kappa 0.5843878515415464 kappa 0.5758470688890952 kappa 0.6035013853845796 kappa 0.6027841550963885 kappa 0.5956160826080907 kb_relative_information_score 0.6083939771507244 kb_relative_information_score 0.6035776368438058 kb_relative_information_score 0.6304195918505062 kb_relative_information_score 0.611206702315689 kb_relative_information_score 0.6011690984340214 kb_relative_information_score 0.619897026216097 kb_relative_information_score 0.610014385640657 kb_relative_information_score 0.6340498754681846 kb_relative_information_score 0.6220150420358427 kb_relative_information_score 0.6211369211839094 mean_absolute_error 0.13003663003663005 mean_absolute_error 0.1401098901098901 mean_absolute_error 0.1336996336996337 mean_absolute_error 0.13186813186813187 mean_absolute_error 0.13736263736263737 mean_absolute_error 0.13644688644688643 mean_absolute_error 0.13853211009174313 mean_absolute_error 0.12935779816513762 mean_absolute_error 0.12844036697247707 mean_absolute_error 0.13211009174311927 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 0.7414025725716751 [0.756522,0.723849,0.625,0.792453] precision 0.7233094214178705 [0.77451,0.684426,0.666667,0.707692] precision 0.7400664897137957 [0.768473,0.681452,0.764706,0.803279] precision 0.7389178587948952 [0.778325,0.703557,0.636364,0.764706] precision 0.7368723733442639 [0.753695,0.680934,0.535714,0.913793] precision 0.7349958657635226 [0.751174,0.70339,0.619048,0.818182] precision 0.7299151205018769 [0.722727,0.711207,0.611111,0.842105] precision 0.7451135494126202 [0.777251,0.7,0.814815,0.746269] precision 0.7501120382665379 [0.783654,0.699219,0.75,0.789474] precision 0.7377677909471474 [0.758454,0.716049,0.678571,0.761194] predictive_accuracy 0.7399267399267399 predictive_accuracy 0.7197802197802197 predictive_accuracy 0.7326007326007326 predictive_accuracy 0.7362637362637362 predictive_accuracy 0.7252747252747253 predictive_accuracy 0.7271062271062272 predictive_accuracy 0.7229357798165138 predictive_accuracy 0.7412844036697248 predictive_accuracy 0.7431192660550459 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 recall 0.73992673992674 [0.78733,0.82381,0.454545,0.512195] recall 0.7197802197802198 [0.714932,0.795238,0.666667,0.560976] recall 0.7326007326007326 [0.709091,0.804762,0.787879,0.590361] recall 0.7362637362637363 [0.718182,0.847619,0.424242,0.626506] recall 0.7252747252747253 [0.695455,0.833333,0.454545,0.638554] recall 0.7271062271062271 [0.727273,0.790476,0.787879,0.542169] recall 0.7229357798165138 [0.722727,0.785714,0.6875,0.578313] recall 0.7412844036697248 [0.742081,0.803828,0.6875,0.60241] recall 0.7431192660550459 [0.737557,0.856459,0.545455,0.54878] recall 0.7357798165137615 [0.710407,0.832536,0.575758,0.621951] relative_absolute_error 0.39268976687907087 relative_absolute_error 0.42310939670773123 relative_absolute_error 0.4034696486722594 relative_absolute_error 0.3979426671835983 relative_absolute_error 0.41452361164958157 relative_absolute_error 0.411760120905251 relative_absolute_error 0.4183736072354493 relative_absolute_error 0.3906881574079575 relative_absolute_error 0.387819307861256 relative_absolute_error 0.3988998595144347 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 0.3606059206899272 root_mean_squared_error 0.37431255670881536 root_mean_squared_error 0.3656496050861175 root_mean_squared_error 0.36313651960128146 root_mean_squared_error 0.3706246583305506 root_mean_squared_error 0.36938717688475114 root_mean_squared_error 0.3721990194663913 root_mean_squared_error 0.35966345125010635 root_mean_squared_error 0.35838577953439654 root_mean_squared_error 0.36346951968922964 root_relative_squared_error 0.8863861315787342 root_relative_squared_error 0.9200776806650479 root_relative_squared_error 0.8981564075029391 root_relative_squared_error 0.8919834380824567 root_relative_squared_error 0.9103767842981049 root_relative_squared_error 0.9073371204389055 root_relative_squared_error 0.914945633346845 root_relative_squared_error 0.884178977826611 root_relative_squared_error 0.8808153238128783 root_relative_squared_error 0.8933097822606364 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 42808.21105600001 usercpu_time_millis 49300.44445299996 usercpu_time_millis 42618.66075400002 usercpu_time_millis 41997.084168000016 usercpu_time_millis 48537.326635 usercpu_time_millis 44549.33903500006 usercpu_time_millis 49963.65482300001 usercpu_time_millis 42529.30569799992 usercpu_time_millis 49251.543554000134 usercpu_time_millis 45531.22500799998 usercpu_time_millis_testing 52.50442100000896 usercpu_time_millis_testing 67.49559499996849 usercpu_time_millis_testing 52.767189000007875 usercpu_time_millis_testing 52.39019600003303 usercpu_time_millis_testing 54.138132999980826 usercpu_time_millis_testing 51.71362700002646 usercpu_time_millis_testing 52.28497799998877 usercpu_time_millis_testing 52.162969999926645 usercpu_time_millis_testing 57.932006000100955 usercpu_time_millis_testing 52.56737299998804 usercpu_time_millis_training 42755.706634999995 usercpu_time_millis_training 49232.94885799999 usercpu_time_millis_training 42565.89356500001 usercpu_time_millis_training 41944.69397199998 usercpu_time_millis_training 48483.18850200002 usercpu_time_millis_training 44497.625408000036 usercpu_time_millis_training 49911.36984500002 usercpu_time_millis_training 42477.14272799999 usercpu_time_millis_training 49193.61154800004 usercpu_time_millis_training 45478.65763499999 wall_clock_time_millis 42813.0042552948 wall_clock_time_millis 49304.205894470215 wall_clock_time_millis 42625.56505203247 wall_clock_time_millis 42003.488540649414 wall_clock_time_millis 48544.74592208862 wall_clock_time_millis 44553.317070007324 wall_clock_time_millis 49970.131397247314 wall_clock_time_millis 42545.12619972229 wall_clock_time_millis 49274.53279495239 wall_clock_time_millis 45535.06135940552 wall_clock_time_millis_testing 52.51288414001465 wall_clock_time_millis_testing 67.50249862670898 wall_clock_time_millis_testing 52.77657508850098 wall_clock_time_millis_testing 52.3982048034668 wall_clock_time_millis_testing 54.14533615112305 wall_clock_time_millis_testing 51.72228813171387 wall_clock_time_millis_testing 52.29306221008301 wall_clock_time_millis_testing 52.16860771179199 wall_clock_time_millis_testing 57.94191360473633 wall_clock_time_millis_testing 52.574872970581055 wall_clock_time_millis_training 42760.491371154785 wall_clock_time_millis_training 49236.703395843506 wall_clock_time_millis_training 42572.78847694397 wall_clock_time_millis_training 41951.09033584595 wall_clock_time_millis_training 48490.6005859375 wall_clock_time_millis_training 44501.59478187561 wall_clock_time_millis_training 49917.83833503723 wall_clock_time_millis_training 42492.9575920105 wall_clock_time_millis_training 49216.590881347656 wall_clock_time_millis_training 45482.48648643494