10416111 1 Jan van Rijn 9956 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253854 C 72.78289639377016 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9865568612658371 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 3.839087709600762e-05 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 65322 16360 shrinking true 16360 tol 0.003904363647760561 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 21754031 description https://api.openml.org/data/download/21754031/description.xml -1 21754032 predictions https://api.openml.org/data/download/21754032/predictions.arff area_under_roc_curve 0.5780164245104237 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0.016710444027516896 mean_prior_absolute_error 0.019799992711748222 number_of_instances 1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0.16447779862414008 prior_entropy 6.643827772868604 recall 0.16447779862414008 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0.17317133596273193 kb_relative_information_score 0.1543834785208678 kb_relative_information_score 0.16064609766815585 kb_relative_information_score 0.1669087168154439 kb_relative_information_score 0.14185824022629168 kb_relative_information_score 0.18571104700700478 kb_relative_information_score 0.16692164366872728 kb_relative_information_score 0.12934283699217242 kb_relative_information_score 0.1669216436687273 kb_relative_information_score 0.1805901568775888 mean_absolute_error 0.01650000000000001 mean_absolute_error 0.01687500000000001 mean_absolute_error 0.01675000000000001 mean_absolute_error 0.01662500000000001 mean_absolute_error 0.017125000000000012 mean_absolute_error 0.01625000000000001 mean_absolute_error 0.01662500000000001 mean_absolute_error 0.017375000000000012 mean_absolute_error 0.01662500000000001 mean_absolute_error 0.016352201257861645 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.01980002942907591 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.019799955856386102 mean_prior_absolute_error 0.01979995631910742 number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1] number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1] number_of_instances 160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1] number_of_instances 160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1] number_of_instances 160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2] number_of_instances 160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2] number_of_instances 159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2] predictive_accuracy 0.175 predictive_accuracy 0.15625 predictive_accuracy 0.1625 predictive_accuracy 0.16875 predictive_accuracy 0.14375 predictive_accuracy 0.1875 predictive_accuracy 0.16875 predictive_accuracy 0.13125 predictive_accuracy 0.16875 predictive_accuracy 0.18238993710691823 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.64355737669647 recall 0.175 [0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,1,0,1,0,0,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,1] recall 0.15625 [0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0] recall 0.1625 [0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,1,0,0,1] recall 0.16875 [0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,0,1] recall 0.14375 [0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0] recall 0.1875 [0,0,0,0,1,1,0,0,1,1,0,1,1,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0] recall 0.16875 [0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,1,0,0,0,1,0] recall 0.13125 [0,0,0,1,0,0,1,0,0,0,0,0,1,1,1,1,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0] recall 0.16875 [0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,1,0] recall 0.18238993710691823 [0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,1,1,1,0] relative_absolute_error 0.8333320947377034 relative_absolute_error 0.8522714605271966 relative_absolute_error 0.8459583385973657 relative_absolute_error 0.8396452166675347 relative_absolute_error 0.8648977043868594 relative_absolute_error 0.8207089004574164 relative_absolute_error 0.8396483366218184 relative_absolute_error 0.8775272089506221 relative_absolute_error 0.8396483366218179 relative_absolute_error 0.8258705723548182 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.0994985414402977 root_mean_squared_error 0.12845232578665133 root_mean_squared_error 0.12990381056766584 root_mean_squared_error 0.12942179105544788 root_mean_squared_error 0.12893796958227632 root_mean_squared_error 0.13086252328302406 root_mean_squared_error 0.12747548783981966 root_mean_squared_error 0.12893796958227632 root_mean_squared_error 0.1318142632646407 root_mean_squared_error 0.12893796958227632 root_mean_squared_error 0.1278757258351312 root_relative_squared_error 1.2909923062957436 root_relative_squared_error 1.305580253018541 root_relative_squared_error 1.300735782683365 root_relative_squared_error 1.2958732019892434 root_relative_squared_error 1.3152156623573417 root_relative_squared_error 1.2811794924189244 root_relative_squared_error 1.295878017195915 root_relative_squared_error 1.3247859158238446 root_relative_squared_error 1.295878017195915 root_relative_squared_error 1.2852020138592757 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 715.3762170000846 usercpu_time_millis 715.9913469995445 usercpu_time_millis 717.7807669995673 usercpu_time_millis 717.5679699994362 usercpu_time_millis 718.1628959997397 usercpu_time_millis 720.3879680000682 usercpu_time_millis 716.5570109991677 usercpu_time_millis 719.0324079992934 usercpu_time_millis 717.5491489997512 usercpu_time_millis 717.5652919995628 usercpu_time_millis_testing 63.60791299994162 usercpu_time_millis_testing 63.65070899937564 usercpu_time_millis_testing 65.00957099979132 usercpu_time_millis_testing 64.81815400002233 usercpu_time_millis_testing 64.5784869993804 usercpu_time_millis_testing 64.78203200003918 usercpu_time_millis_testing 64.74428599995008 usercpu_time_millis_testing 65.40326699996513 usercpu_time_millis_testing 64.9146389996531 usercpu_time_millis_testing 64.63258900021174 usercpu_time_millis_training 651.768304000143 usercpu_time_millis_training 652.3406380001688 usercpu_time_millis_training 652.771195999776 usercpu_time_millis_training 652.7498159994138 usercpu_time_millis_training 653.5844090003593 usercpu_time_millis_training 655.605936000029 usercpu_time_millis_training 651.8127249992176 usercpu_time_millis_training 653.6291409993282 usercpu_time_millis_training 652.6345100000981 usercpu_time_millis_training 652.932702999351 wall_clock_time_millis 715.3525352478027 wall_clock_time_millis 715.9683704376221 wall_clock_time_millis 717.7670001983643 wall_clock_time_millis 717.5450325012207 wall_clock_time_millis 718.1403636932373 wall_clock_time_millis 720.365047454834 wall_clock_time_millis 716.5343761444092 wall_clock_time_millis 719.0096378326416 wall_clock_time_millis 717.592716217041 wall_clock_time_millis 717.5421714782715 wall_clock_time_millis_testing 63.608407974243164 wall_clock_time_millis_testing 63.65084648132324 wall_clock_time_millis_testing 65.01007080078125 wall_clock_time_millis_testing 64.8183822631836 wall_clock_time_millis_testing 64.57901000976562 wall_clock_time_millis_testing 64.78238105773926 wall_clock_time_millis_testing 64.74447250366211 wall_clock_time_millis_testing 65.40346145629883 wall_clock_time_millis_testing 64.91470336914062 wall_clock_time_millis_testing 64.63265419006348 wall_clock_time_millis_training 651.7441272735596 wall_clock_time_millis_training 652.3175239562988 wall_clock_time_millis_training 652.756929397583 wall_clock_time_millis_training 652.7266502380371 wall_clock_time_millis_training 653.5613536834717 wall_clock_time_millis_training 655.5826663970947 wall_clock_time_millis_training 651.7899036407471 wall_clock_time_millis_training 653.6061763763428 wall_clock_time_millis_training 652.6780128479004 wall_clock_time_millis_training 652.909517288208