10416126 1 Jan van Rijn 9964 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253869 C 0.26271348666137917 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.007417501296359656 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 34174 16360 shrinking false 16360 tol 3.423505756905875e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21754062 description https://api.openml.org/data/download/21754062/description.xml -1 21754063 predictions https://api.openml.org/data/download/21754063/predictions.arff area_under_roc_curve 0.9529134333841955 [0.986879,0.920218,0.930468,0.947245,0.937469,0.935095,0.972053,0.978922,0.958221,0.962526] average_cost 0 f_measure 0.9157501763166871 [0.98125,0.884488,0.83237,0.925566,0.88959,0.909677,0.949686,0.959752,0.904615,0.920635] kappa 0.9058354810488733 kb_relative_information_score 0.9113688087644007 mean_absolute_error 0.01694915254237284 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9178839664253572 [0.987421,0.924138,0.782609,0.953333,0.892405,0.946309,0.949686,0.95679,0.88024,0.90625] predictive_accuracy 0.9152542372881356 prior_entropy 3.3218194939376526 recall 0.9152542372881356 [0.975155,0.848101,0.888889,0.899371,0.886792,0.875776,0.949686,0.962733,0.93038,0.935484] relative_absolute_error 0.09416351961527818 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.13018891098082372 root_relative_squared_error 0.4339666562161736 total_cost 0 area_under_roc_curve 0.9444444444444444 [0.96875,0.965278,0.881944,0.965278,0.930556,0.96875,0.934028,0.965278,0.899306,0.965278] area_under_roc_curve 0.9687978927203066 [0.96875,0.958333,0.993056,0.9375,0.965278,0.9375,0.965278,1,1,0.95977] area_under_roc_curve 0.944395881895882 [1,0.902778,0.888889,0.996528,0.927083,0.904772,0.996528,0.934028,0.899306,1] area_under_roc_curve 0.9511217948717949 [0.96875,0.965253,0.920017,0.90625,0.96875,0.902753,0.996503,0.965253,0.961757,0.95625] area_under_roc_curve 0.9441038226249494 [0.996503,0.840253,0.904722,0.965253,0.892264,0.965253,0.961757,0.96875,0.996528,0.95625] area_under_roc_curve 0.9684572567495103 [1,0.96875,0.956504,0.90625,0.965253,0.965253,0.96875,0.993007,0.963194,1] area_under_roc_curve 0.9406080031080033 [1,0.930507,0.923514,0.896528,0.902753,0.930507,0.963194,0.965253,0.961757,0.92701] area_under_roc_curve 0.9615627428127428 [0.996503,0.896528,0.961757,0.996503,0.95826,0.934003,0.96875,1,0.993007,0.90625] area_under_roc_curve 0.958041958041958 [1,0.9,0.92701,0.965253,0.934003,0.9375,0.965253,0.996503,0.98951,0.961757] area_under_roc_curve 0.9475767288267288 [0.96875,0.871503,0.947771,0.934003,0.929861,0.90625,1,1,0.920017,0.996503] 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 0.9024641577060931 [0.967742,0.9375,0.722222,0.9375,0.875,0.967742,0.903226,0.9375,0.83871,0.9375] f_measure 0.9442212207463632 [0.967742,0.882353,0.941176,0.933333,0.9375,0.933333,0.9375,1,1,0.903226] f_measure 0.9000201972284515 [1,0.866667,0.764706,0.969697,0.848485,0.848485,0.969697,0.903226,0.83871,1] f_measure 0.912986429238764 [0.967742,0.9375,0.8,0.896552,0.967742,0.866667,0.969697,0.9375,0.909091,0.875] f_measure 0.8980335702033816 [0.969697,0.785714,0.848485,0.9375,0.787879,0.9375,0.909091,0.967742,0.967742,0.875] f_measure 0.9438622374453159 [1,0.967742,0.864865,0.896552,0.9375,0.9375,0.967742,0.941176,0.933333,1] f_measure 0.8932169322846346 [1,0.875,0.823529,0.857143,0.866667,0.875,0.933333,0.9375,0.909091,0.848485] f_measure 0.9301237891717633 [0.969697,0.857143,0.909091,0.969697,0.882353,0.903226,0.967742,1,0.941176,0.896552] f_measure 0.9244227335523745 [1,0.888889,0.848485,0.9375,0.903226,0.933333,0.9375,0.969697,0.914286,0.909091] f_measure 0.9072835919353014 [0.967742,0.827586,0.810811,0.903226,0.896552,0.896552,1,1,0.8,0.969697] kappa 0.888888888888889 kappa 0.9374972872086463 kappa 0.8888840661487045 kappa 0.9021710468489057 kappa 0.8881954821130351 kappa 0.9370906053545522 kappa 0.8811763671531564 kappa 0.9231208791208791 kappa 0.9161281814585257 kappa 0.8951694431014021 kb_relative_information_score 0.8954577381792649 kb_relative_information_score 0.9411448532737251 kb_relative_information_score 0.8955378754433403 kb_relative_information_score 0.9080019733363613 kb_relative_information_score 0.8947399266324692 kb_relative_information_score 0.9408034890209016 kb_relative_information_score 0.8881230553969529 kb_relative_information_score 0.9274775773424162 kb_relative_information_score 0.9210642437854659 kb_relative_information_score 0.9013523418674214 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.01125 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.017610062893081764 mean_absolute_error 0.020125786163522015 mean_absolute_error 0.011320754716981131 mean_absolute_error 0.021383647798742144 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.01509433962264151 mean_absolute_error 0.01886792452830189 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 0.9075000000000001 [1,0.9375,0.65,0.9375,0.875,1,0.933333,0.9375,0.866667,0.9375] precision 0.9480034722222221 [1,0.833333,0.888889,1,0.9375,1,0.9375,1,1,0.875] precision 0.9023863503734827 [1,0.928571,0.722222,0.941176,0.823529,0.875,0.941176,0.933333,0.866667,1] precision 0.9193460899752155 [1,0.9375,0.736842,1,1,0.928571,0.941176,0.9375,0.882353,0.823529] precision 0.901691022320878 [0.941176,0.916667,0.875,0.9375,0.764706,0.9375,0.882353,1,0.9375,0.823529] precision 0.9485674353598882 [1,1,0.8,1,0.9375,0.9375,1,0.888889,0.933333,1] precision 0.8958607471371067 [1,0.875,0.777778,0.923077,0.928571,0.875,0.933333,0.9375,0.882353,0.823529] precision 0.9344046342936465 [0.941176,0.923077,0.882353,0.941176,0.833333,0.933333,1,1,0.888889,1] precision 0.9293079164800644 [1,1,0.823529,0.9375,0.933333,1,0.9375,0.941176,0.842105,0.882353] precision 0.9176604036058444 [1,0.923077,0.714286,0.933333,0.928571,1,1,1,0.736842,0.941176] predictive_accuracy 0.9 predictive_accuracy 0.94375 predictive_accuracy 0.9 predictive_accuracy 0.9119496855345912 predictive_accuracy 0.89937106918239 predictive_accuracy 0.9433962264150944 predictive_accuracy 0.8930817610062892 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9245283018867925 predictive_accuracy 0.9056603773584905 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 0.9 [0.9375,0.9375,0.8125,0.9375,0.875,0.9375,0.875,0.9375,0.8125,0.9375] recall 0.94375 [0.9375,0.9375,1,0.875,0.9375,0.875,0.9375,1,1,0.933333] recall 0.9 [1,0.8125,0.8125,1,0.875,0.823529,1,0.875,0.8125,1] recall 0.9119496855345912 [0.9375,0.9375,0.875,0.8125,0.9375,0.8125,1,0.9375,0.9375,0.933333] recall 0.89937106918239 [1,0.6875,0.823529,0.9375,0.8125,0.9375,0.9375,0.9375,1,0.933333] recall 0.9433962264150944 [1,0.9375,0.941176,0.8125,0.9375,0.9375,0.9375,1,0.933333,1] recall 0.8930817610062893 [1,0.875,0.875,0.8,0.8125,0.875,0.933333,0.9375,0.9375,0.875] recall 0.9308176100628931 [1,0.8,0.9375,1,0.9375,0.875,0.9375,1,1,0.8125] recall 0.9245283018867925 [1,0.8,0.875,0.9375,0.875,0.875,0.9375,1,1,0.9375] recall 0.9056603773584906 [0.9375,0.75,0.9375,0.875,0.866667,0.8125,1,1,0.875,1] relative_absolute_error 0.11111111111111135 relative_absolute_error 0.06250162460034844 relative_absolute_error 0.11111399928950837 relative_absolute_error 0.09783551670771867 relative_absolute_error 0.11181396889890642 relative_absolute_error 0.06289535750563485 relative_absolute_error 0.11879923448146607 relative_absolute_error 0.07686975779029433 relative_absolute_error 0.083857917589412 relative_absolute_error 0.10482194002327945 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 0.14142135623730953 root_mean_squared_error 0.10606601717798213 root_mean_squared_error 0.14142135623730953 root_mean_squared_error 0.13270291214996663 root_mean_squared_error 0.14186538042638175 root_mean_squared_error 0.1063990353197863 root_mean_squared_error 0.14623148702910102 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.12285902336679023 root_mean_squared_error 0.13736056394868904 root_relative_squared_error 0.47140063773369945 root_relative_squared_error 0.3535596683199941 root_relative_squared_error 0.4714128910933255 root_relative_squared_error 0.44234768876472147 root_relative_squared_error 0.47289781707593925 root_relative_squared_error 0.35467336280695444 root_relative_squared_error 0.4874391622788042 root_relative_squared_error 0.3920941902972384 root_relative_squared_error 0.40952902536474345 root_relative_squared_error 0.45786537373313124 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 942.1718590001547 usercpu_time_millis 941.3970249997874 usercpu_time_millis 944.1966939994018 usercpu_time_millis 944.1208160005772 usercpu_time_millis 942.7661769996121 usercpu_time_millis 951.8601909994686 usercpu_time_millis 945.3856790005375 usercpu_time_millis 948.4862819999762 usercpu_time_millis 949.9322149995351 usercpu_time_millis 946.3380440010951 usercpu_time_millis_testing 83.9021750007305 usercpu_time_millis_testing 84.33392400002049 usercpu_time_millis_testing 83.86472799975309 usercpu_time_millis_testing 83.35658000032709 usercpu_time_millis_testing 84.01707099983469 usercpu_time_millis_testing 83.9221299993369 usercpu_time_millis_testing 83.7728500000594 usercpu_time_millis_testing 83.72213900020142 usercpu_time_millis_testing 83.56572499997128 usercpu_time_millis_testing 83.48874400053319 usercpu_time_millis_training 858.2696839994242 usercpu_time_millis_training 857.0631009997669 usercpu_time_millis_training 860.3319659996487 usercpu_time_millis_training 860.7642360002501 usercpu_time_millis_training 858.7491059997774 usercpu_time_millis_training 867.9380610001317 usercpu_time_millis_training 861.6128290004781 usercpu_time_millis_training 864.7641429997748 usercpu_time_millis_training 866.3664899995638 usercpu_time_millis_training 862.8493000005619 wall_clock_time_millis 942.2435760498047 wall_clock_time_millis 941.4615631103516 wall_clock_time_millis 944.2689418792725 wall_clock_time_millis 944.1931247711182 wall_clock_time_millis 942.845344543457 wall_clock_time_millis 951.9252777099609 wall_clock_time_millis 945.4591274261475 wall_clock_time_millis 948.5504627227783 wall_clock_time_millis 950.005054473877 wall_clock_time_millis 946.4085102081299 wall_clock_time_millis_testing 83.91022682189941 wall_clock_time_millis_testing 84.34224128723145 wall_clock_time_millis_testing 83.87279510498047 wall_clock_time_millis_testing 83.36448669433594 wall_clock_time_millis_testing 84.02514457702637 wall_clock_time_millis_testing 83.93025398254395 wall_clock_time_millis_testing 83.78052711486816 wall_clock_time_millis_testing 83.72998237609863 wall_clock_time_millis_testing 83.57357978820801 wall_clock_time_millis_testing 83.4970474243164 wall_clock_time_millis_training 858.3333492279053 wall_clock_time_millis_training 857.1193218231201 wall_clock_time_millis_training 860.396146774292 wall_clock_time_millis_training 860.8286380767822 wall_clock_time_millis_training 858.8201999664307 wall_clock_time_millis_training 867.995023727417 wall_clock_time_millis_training 861.6786003112793 wall_clock_time_millis_training 864.8204803466797 wall_clock_time_millis_training 866.431474685669 wall_clock_time_millis_training 862.9114627838135