10413262 1 Jan van Rijn 9956 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8251006 C 3.8246625417130566 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 3.579081226542914e-05 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 35091 16360 shrinking false 16360 tol 0.004506929052801702 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 21748333 description https://api.openml.org/data/download/21748333/description.xml -1 21748334 predictions https://api.openml.org/data/download/21748334/predictions.arff area_under_roc_curve 0.5777005685407461 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0.016722951844902762 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 0.16385240775484677 prior_entropy 6.643827772868604 recall 0.16385240775484677 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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 0.17944791256091228 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 0.01637500000000001 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 0.18125 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 0.18125 [0,0,0,0,1,1,0,0,1,1,0,1,1,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0] 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 [0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,1,1,1,0] 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 0.8270220458455504 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 0.12796483892069732 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 1.286097665944185 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 710.6496310000005 usercpu_time_millis 703.561063 usercpu_time_millis 705.5844389999999 usercpu_time_millis 700.7006650000012 usercpu_time_millis 706.9098069999998 usercpu_time_millis 703.4267969999996 usercpu_time_millis 708.4761550000004 usercpu_time_millis 703.2193360000001 usercpu_time_millis 704.0431310000006 usercpu_time_millis 705.6710899999991 usercpu_time_millis_testing 64.24720800000028 usercpu_time_millis_testing 63.49851299999987 usercpu_time_millis_testing 65.58049499999984 usercpu_time_millis_testing 63.847457000000496 usercpu_time_millis_testing 63.542610999999916 usercpu_time_millis_testing 63.14170100000016 usercpu_time_millis_testing 63.879617000000444 usercpu_time_millis_testing 64.01051000000012 usercpu_time_millis_testing 63.89149900000035 usercpu_time_millis_testing 64.10022999999931 usercpu_time_millis_training 646.4024230000001 usercpu_time_millis_training 640.0625500000001 usercpu_time_millis_training 640.003944 usercpu_time_millis_training 636.8532080000007 usercpu_time_millis_training 643.3671959999998 usercpu_time_millis_training 640.2850959999995 usercpu_time_millis_training 644.596538 usercpu_time_millis_training 639.2088259999999 usercpu_time_millis_training 640.1516320000003 usercpu_time_millis_training 641.5708599999998 wall_clock_time_millis 710.7007503509521 wall_clock_time_millis 703.5877704620361 wall_clock_time_millis 705.6252956390381 wall_clock_time_millis 700.7274627685547 wall_clock_time_millis 706.937313079834 wall_clock_time_millis 703.4556865692139 wall_clock_time_millis 708.5201740264893 wall_clock_time_millis 703.240156173706 wall_clock_time_millis 704.0655612945557 wall_clock_time_millis 705.6934833526611 wall_clock_time_millis_testing 64.25166130065918 wall_clock_time_millis_testing 63.508033752441406 wall_clock_time_millis_testing 65.60444831848145 wall_clock_time_millis_testing 63.857316970825195 wall_clock_time_millis_testing 63.55118751525879 wall_clock_time_millis_testing 63.14873695373535 wall_clock_time_millis_testing 63.88545036315918 wall_clock_time_millis_testing 64.01467323303223 wall_clock_time_millis_testing 63.897132873535156 wall_clock_time_millis_testing 64.10527229309082 wall_clock_time_millis_training 646.449089050293 wall_clock_time_millis_training 640.0797367095947 wall_clock_time_millis_training 640.0208473205566 wall_clock_time_millis_training 636.8701457977295 wall_clock_time_millis_training 643.3861255645752 wall_clock_time_millis_training 640.3069496154785 wall_clock_time_millis_training 644.6347236633301 wall_clock_time_millis_training 639.2254829406738 wall_clock_time_millis_training 640.1684284210205 wall_clock_time_millis_training 641.5882110595703