10329864 8323 Heinrich Peters 9964 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185479 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.17044155665301808 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7998722329939914 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.006336655033356123 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 23350 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. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21581425 description https://api.openml.org/data/download/21581425/description.xml -1 21581426 predictions https://api.openml.org/data/download/21581426/predictions.arff area_under_roc_curve 0.9113830772771866 [0.982689,0.87841,0.880794,0.904621,0.928048,0.892976,0.91545,0.94783,0.925559,0.855379] average_cost 0 f_measure 0.8425435460064109 [0.945783,0.807947,0.7,0.863787,0.838323,0.847682,0.886667,0.904025,0.841463,0.788732] kappa 0.8228132020196269 kb_relative_information_score 0.833073089423576 mean_absolute_error 0.03188951663527946 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.8520678288599045 [0.918129,0.847222,0.610092,0.915493,0.8,0.907801,0.943262,0.901235,0.811765,0.868217] predictive_accuracy 0.8405524168236034 prior_entropy 3.3218194939376526 recall 0.8405524168236033 [0.975155,0.772152,0.820988,0.81761,0.880503,0.795031,0.836478,0.906832,0.873418,0.722581] relative_absolute_error 0.17716691838726517 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.17857636079638162 root_relative_squared_error 0.5952595009069058 total_cost 0 area_under_roc_curve 0.9097222222222221 [0.961806,0.899306,0.861111,0.902778,0.961806,0.9375,0.90625,0.958333,0.833333,0.875] area_under_roc_curve 0.8889603930552207 [0.958333,0.836806,0.857639,0.840278,0.923611,0.871528,0.902778,0.908268,0.934028,0.852874] area_under_roc_curve 0.9062014374514374 [0.996528,0.861111,0.878472,1,0.909722,0.87536,0.90625,0.934028,0.895833,0.8] area_under_roc_curve 0.9091151903651904 [0.930507,0.961757,0.864292,0.840253,0.9375,0.86451,0.996503,0.875,0.923514,0.896528] area_under_roc_curve 0.9056416001838536 [0.993007,0.805507,0.868268,0.965253,0.888767,0.92701,0.892264,0.96875,0.952778,0.793056] area_under_roc_curve 0.9264492842837914 [1,0.934003,0.913007,0.836757,0.954764,0.934003,0.90625,0.961757,0.893056,0.929861] area_under_roc_curve 0.9090902251113521 [0.992958,0.899257,0.878278,0.893056,0.899257,0.871503,0.9,0.961757,0.92701,0.861014] area_under_roc_curve 0.926597707847708 [0.996503,0.863194,0.923514,0.930507,0.95826,0.90625,0.90625,0.951267,0.98951,0.836757] area_under_roc_curve 0.9196289821289823 [0.996503,0.893056,0.829764,0.934003,0.92701,0.868007,0.930507,0.965253,0.982517,0.868007] area_under_roc_curve 0.9126845376845378 [1,0.829764,0.933785,0.902753,0.919444,0.875,0.90625,0.996503,0.923514,0.840253] 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 0.8445319970439383 [0.909091,0.83871,0.619048,0.866667,0.909091,0.933333,0.896552,0.882353,0.733333,0.857143] f_measure 0.8069534671116163 [0.882353,0.758621,0.604651,0.785714,0.823529,0.827586,0.866667,0.875,0.903226,0.733333] f_measure 0.8337925558252373 [0.969697,0.75,0.702703,1,0.736842,0.8125,0.896552,0.903226,0.8125,0.75] f_measure 0.8418031783813836 [0.875,0.909091,0.634146,0.785714,0.933333,0.774194,0.969697,0.857143,0.823529,0.857143] f_measure 0.8270457002331981 [0.941176,0.714286,0.764706,0.9375,0.764706,0.848485,0.787879,0.967742,0.848485,0.692308] f_measure 0.8695458720276652 [1,0.903226,0.75,0.758621,0.857143,0.903226,0.896552,0.909091,0.827586,0.896552] f_measure 0.8380328700915516 [0.944444,0.83871,0.702703,0.827586,0.83871,0.827586,0.888889,0.909091,0.848485,0.75] f_measure 0.8667986311524142 [0.969697,0.814815,0.823529,0.875,0.882353,0.896552,0.896552,0.833333,0.914286,0.758621] f_measure 0.8537672430509337 [0.969697,0.827586,0.709677,0.903226,0.848485,0.8,0.875,0.9375,0.864865,0.8] f_measure 0.8455250718542316 [1,0.709677,0.731707,0.866667,0.8125,0.857143,0.896552,0.969697,0.823529,0.785714] kappa 0.8194444444444444 kappa 0.7777777777777778 kappa 0.8124511591560303 kappa 0.8182857142857143 kappa 0.8112884082816828 kappa 0.8531791399173336 kappa 0.8182377769961309 kappa 0.8532243175524199 kappa 0.8392598127554833 kappa 0.8253054408016174 kb_relative_information_score 0.8298405991996348 kb_relative_information_score 0.7907123537538909 kb_relative_information_score 0.8232348318641912 kb_relative_information_score 0.8290763563627134 kb_relative_information_score 0.8220706982733654 kb_relative_information_score 0.8617516086391913 kb_relative_information_score 0.8288396041899895 kb_relative_information_score 0.8616287832104602 kb_relative_information_score 0.8487077705798121 kb_relative_information_score 0.8352145657236144 mean_absolute_error 0.032500000000000015 mean_absolute_error 0.04000000000000002 mean_absolute_error 0.033750000000000016 mean_absolute_error 0.032704402515723284 mean_absolute_error 0.03396226415094341 mean_absolute_error 0.02641509433962265 mean_absolute_error 0.032704402515723284 mean_absolute_error 0.02641509433962265 mean_absolute_error 0.0289308176100629 mean_absolute_error 0.03144654088050316 mean_prior_absolute_error 0.17999999999999963 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999662582343604 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999819520788427 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.1799997645923324 number_of_instances 160 [16,16,16,16,16,16,16,16,16,16] number_of_instances 160 [16,16,16,16,16,16,16,17,16,15] number_of_instances 160 [16,16,16,16,16,17,16,16,16,15] number_of_instances 159 [16,16,16,16,16,16,16,16,16,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [17,16,16,15,16,16,15,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,16,16,16,15,16,16,16,16,16] precision 0.8678991596638654 [0.882353,0.866667,0.5,0.928571,0.882353,1,1,0.833333,0.785714,1] precision 0.8319561457061457 [0.833333,0.846154,0.481481,0.916667,0.777778,0.923077,0.928571,0.933333,0.933333,0.733333] precision 0.8550754392666157 [0.941176,0.75,0.619048,1,0.636364,0.866667,1,0.933333,0.8125,1] precision 0.8632310411666682 [0.875,0.882353,0.52,0.916667,1,0.8,0.941176,1,0.777778,0.923077] precision 0.8330960362036943 [0.888889,0.833333,0.764706,0.9375,0.722222,0.823529,0.764706,1,0.777778,0.818182] precision 0.8806731133256199 [1,0.933333,0.652174,0.846154,0.789474,0.933333,1,0.882353,0.857143,0.928571] precision 0.8476044831906738 [0.894737,0.866667,0.619048,0.857143,0.866667,0.923077,1,0.882353,0.823529,0.75] precision 0.87797954123382 [0.941176,0.916667,0.777778,0.875,0.833333,1,1,0.75,0.842105,0.846154] precision 0.8577242217641773 [0.941176,0.857143,0.733333,0.933333,0.823529,0.857143,0.875,0.9375,0.761905,0.857143] precision 0.8668616293477558 [1,0.733333,0.6,0.928571,0.764706,1,1,0.941176,0.777778,0.916667] predictive_accuracy 0.8375 predictive_accuracy 0.8 predictive_accuracy 0.83125 predictive_accuracy 0.8364779874213837 predictive_accuracy 0.8301886792452831 predictive_accuracy 0.8679245283018868 predictive_accuracy 0.8364779874213837 predictive_accuracy 0.8679245283018868 predictive_accuracy 0.8553459119496856 predictive_accuracy 0.8427672955974843 prior_entropy 3.322035652456755 prior_entropy 3.321695353806615 prior_entropy 3.321695353806615 prior_entropy 3.3217896094452106 prior_entropy 3.3215641679424013 prior_entropy 3.3215641679424013 prior_entropy 3.321906615533436 prior_entropy 3.321962444265476 prior_entropy 3.321962444265476 prior_entropy 3.3220193319359352 recall 0.8375 [0.9375,0.8125,0.8125,0.8125,0.9375,0.875,0.8125,0.9375,0.6875,0.75] recall 0.8 [0.9375,0.6875,0.8125,0.6875,0.875,0.75,0.8125,0.823529,0.875,0.733333] recall 0.83125 [1,0.75,0.8125,1,0.875,0.764706,0.8125,0.875,0.8125,0.6] recall 0.8364779874213837 [0.875,0.9375,0.8125,0.6875,0.875,0.75,1,0.75,0.875,0.8] recall 0.8301886792452831 [1,0.625,0.764706,0.9375,0.8125,0.875,0.8125,0.9375,0.933333,0.6] recall 0.8679245283018868 [1,0.875,0.882353,0.6875,0.9375,0.875,0.8125,0.9375,0.8,0.866667] recall 0.8364779874213837 [1,0.8125,0.8125,0.8,0.8125,0.75,0.8,0.9375,0.875,0.75] recall 0.8679245283018868 [1,0.733333,0.875,0.875,0.9375,0.8125,0.8125,0.9375,1,0.6875] recall 0.8553459119496856 [1,0.8,0.6875,0.875,0.875,0.75,0.875,0.9375,1,0.75] recall 0.8427672955974843 [1,0.6875,0.9375,0.8125,0.866667,0.75,0.8125,1,0.875,0.6875] relative_absolute_error 0.180555555555556 relative_absolute_error 0.22222799857901682 relative_absolute_error 0.18750487380104544 relative_absolute_error 0.18169453102862046 relative_absolute_error 0.18868607251690464 relative_absolute_error 0.1467558341798147 relative_absolute_error 0.18169294685400697 relative_absolute_error 0.14675135578147103 relative_absolute_error 0.16072767537970634 relative_absolute_error 0.17470323337213248 root_mean_prior_squared_error 0.3000024711829099 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999968475489186 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.29999946320574855 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000207883977315 root_mean_squared_error 0.1802775637731995 root_mean_squared_error 0.20000000000000007 root_mean_squared_error 0.1837117307087384 root_mean_squared_error 0.18084358577434612 root_mean_squared_error 0.1842885350501854 root_mean_squared_error 0.16252721107440024 root_mean_squared_error 0.18084358577434612 root_mean_squared_error 0.16252721107440024 root_mean_squared_error 0.1700906158788982 root_mean_squared_error 0.1773317255329772 root_relative_squared_error 0.6009202626310542 root_relative_squared_error 0.6666785040616919 root_relative_squared_error 0.6123833090374303 root_relative_squared_error 0.6028182870983572 root_relative_squared_error 0.6143122844729549 root_relative_squared_error 0.541772510682468 root_relative_squared_error 0.6028130312030532 root_relative_squared_error 0.5417559778888871 root_relative_squared_error 0.5669672624420601 root_relative_squared_error 0.5911016557578175 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 1096.5486649947707 usercpu_time_millis 1090.750899995328 usercpu_time_millis 1107.8647469985299 usercpu_time_millis 1102.128160011489 usercpu_time_millis 1097.9929890017956 usercpu_time_millis 1103.4558349929284 usercpu_time_millis 1114.2117400013376 usercpu_time_millis 1096.7986799951177 usercpu_time_millis 1102.9540429881308 usercpu_time_millis 1105.29002599651 usercpu_time_millis_testing 103.24514200328849 usercpu_time_millis_testing 103.69441499642562 usercpu_time_millis_testing 103.43276300409343 usercpu_time_millis_testing 102.58952100411989 usercpu_time_millis_testing 102.42935399583075 usercpu_time_millis_testing 102.75682799692731 usercpu_time_millis_testing 105.41545199521352 usercpu_time_millis_testing 102.69051700015552 usercpu_time_millis_testing 102.75511699728668 usercpu_time_millis_testing 102.6781190012116 usercpu_time_millis_training 993.3035229914822 usercpu_time_millis_training 987.0564849989023 usercpu_time_millis_training 1004.4319839944365 usercpu_time_millis_training 999.538639007369 usercpu_time_millis_training 995.5636350059649 usercpu_time_millis_training 1000.6990069960011 usercpu_time_millis_training 1008.7962880061241 usercpu_time_millis_training 994.1081629949622 usercpu_time_millis_training 1000.1989259908441 usercpu_time_millis_training 1002.6119069952983 wall_clock_time_millis 1096.6413021087646 wall_clock_time_millis 1090.8448696136475 wall_clock_time_millis 1107.9702377319336 wall_clock_time_millis 1102.224349975586 wall_clock_time_millis 1098.0901718139648 wall_clock_time_millis 1103.5516262054443 wall_clock_time_millis 1218.3012962341309 wall_clock_time_millis 1192.9140090942383 wall_clock_time_millis 1183.0267906188965 wall_clock_time_millis 1121.3874816894531 wall_clock_time_millis_testing 103.26313972473145 wall_clock_time_millis_testing 103.7132740020752 wall_clock_time_millis_testing 103.45292091369629 wall_clock_time_millis_testing 102.60820388793945 wall_clock_time_millis_testing 102.45013236999512 wall_clock_time_millis_testing 102.77605056762695 wall_clock_time_millis_testing 137.43829727172852 wall_clock_time_millis_testing 102.70929336547852 wall_clock_time_millis_testing 102.77342796325684 wall_clock_time_millis_testing 102.69951820373535 wall_clock_time_millis_training 993.3781623840332 wall_clock_time_millis_training 987.1315956115723 wall_clock_time_millis_training 1004.5173168182373 wall_clock_time_millis_training 999.6161460876465 wall_clock_time_millis_training 995.6400394439697 wall_clock_time_millis_training 1000.7755756378174 wall_clock_time_millis_training 1080.8629989624023 wall_clock_time_millis_training 1090.2047157287598 wall_clock_time_millis_training 1080.2533626556396 wall_clock_time_millis_training 1018.6879634857178