10416092 1 Jan van Rijn 18 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253835 C 505.8614744886833 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.3312794632355816 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 73 16360 shrinking true 16360 tol 6.758476764520093e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 21753993 description https://api.openml.org/data/download/21753993/description.xml -1 21753994 predictions https://api.openml.org/data/download/21753994/predictions.arff area_under_roc_curve 0.5811111111111111 [0.755,0.538889,0.558333,0.535556,0.570278,0.573889,0.5125,0.571667,0.69,0.505] average_cost 0 f_measure 0.26127567633020266 [0.660256,0.152,0.202703,0.16129,0.222222,0.221154,0.110145,0.247934,0.538462,0.096591] kappa 0.1622222222222222 kb_relative_information_score 0.2114988521172598 mean_absolute_error 0.15079999999999572 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.381953307932851 [0.919643,0.38,0.138889,0.174419,0.191336,0.162736,0.131034,0.714286,0.895349,0.111842] predictive_accuracy 0.24600000000000002 prior_entropy 3.3219280948872383 recall 0.246 [0.515,0.095,0.375,0.15,0.265,0.345,0.095,0.15,0.385,0.085] relative_absolute_error 0.8377777777777282 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3883297567789465 root_relative_squared_error 1.2944325225964688 total_cost 0 area_under_roc_curve 0.5722222222222222 [0.7,0.511111,0.519444,0.486111,0.544444,0.638889,0.477778,0.547222,0.747222,0.55] area_under_roc_curve 0.5833333333333333 [0.722222,0.613889,0.483333,0.519444,0.663889,0.516667,0.55,0.519444,0.75,0.494444] area_under_roc_curve 0.5805555555555556 [0.672222,0.541667,0.580556,0.563889,0.519444,0.588889,0.541667,0.65,0.691667,0.455556] area_under_roc_curve 0.5916666666666666 [0.725,0.544444,0.541667,0.516667,0.544444,0.669444,0.538889,0.619444,0.697222,0.519444] area_under_roc_curve 0.5777777777777778 [0.822222,0.516667,0.522222,0.513889,0.541667,0.683333,0.511111,0.497222,0.672222,0.497222] area_under_roc_curve 0.575 [0.797222,0.519444,0.586111,0.505556,0.575,0.488889,0.475,0.5,0.75,0.552778] area_under_roc_curve 0.5833333333333333 [0.797222,0.538889,0.541667,0.513889,0.644444,0.519444,0.494444,0.619444,0.65,0.513889] area_under_roc_curve 0.586111111111111 [0.797222,0.519444,0.625,0.547222,0.547222,0.566667,0.530556,0.594444,0.644444,0.488889] area_under_roc_curve 0.5833333333333333 [0.772222,0.547222,0.511111,0.669444,0.522222,0.525,0.511111,0.597222,0.672222,0.505556] area_under_roc_curve 0.5777777777777777 [0.744444,0.536111,0.672222,0.519444,0.6,0.541667,0.494444,0.572222,0.625,0.472222] 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 0.21515253610344778 [0.571429,0.076923,0.086957,0,0.166667,0.24,0,0.173913,0.645161,0.190476] f_measure 0.23770359690975185 [0.6,0.344828,0,0.086957,0.255319,0.083333,0.190476,0.086957,0.666667,0.0625] f_measure 0.26167550523475447 [0.5,0.16,0.212766,0.222222,0.086957,0.285714,0.171429,0.461538,0.516129,0] f_measure 0.2662363175066253 [0.62069,0.166667,0.16,0.083333,0.166667,0.255034,0.166667,0.37037,0.551724,0.121212] f_measure 0.21143158064789944 [0.764706,0.083333,0.090909,0.08,0.16,0.25974,0.111111,0,0.5,0.064516] f_measure 0.2460013192295801 [0.727273,0.153846,0.16,0.08,0.243243,0.086957,0.0625,0.37037,0.461538,0.114286] f_measure 0.2576240744879955 [0.727273,0.086957,0.234483,0.173913,0.173913,0.230769,0.153846,0.307692,0.428571,0.058824] f_measure 0.24158911326013516 [0.6875,0.173913,0.076923,0.255034,0.090909,0.095238,0.111111,0.32,0.5,0.105263] f_measure 0.23191025601826376 [0.625,0.148148,0.253165,0.086957,0.333333,0.16,0.0625,0.25,0.4,0] kappa 0.14444444444444446 kappa 0.16666666666666666 kappa 0.1611111111111111 kappa 0.18333333333333335 kappa 0.15555555555555553 kappa 0.14999999999999997 kappa 0.16666666666666666 kappa 0.17222222222222222 kappa 0.16666666666666666 kappa 0.15555555555555553 kb_relative_information_score 0.19476673226828134 kb_relative_information_score 0.21568188207949462 kb_relative_information_score 0.21045309462669148 kb_relative_information_score 0.23136824443790535 kb_relative_information_score 0.2052243071738884 kb_relative_information_score 0.1999955197210846 kb_relative_information_score 0.21568188207949454 kb_relative_information_score 0.22091066953229832 kb_relative_information_score 0.21568188207949487 kb_relative_information_score 0.2052243071738885 mean_absolute_error 0.1539999999999996 mean_absolute_error 0.14999999999999963 mean_absolute_error 0.15099999999999963 mean_absolute_error 0.14699999999999963 mean_absolute_error 0.1519999999999996 mean_absolute_error 0.1529999999999996 mean_absolute_error 0.14999999999999963 mean_absolute_error 0.14899999999999963 mean_absolute_error 0.14999999999999963 mean_absolute_error 0.1519999999999996 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.3896037296037296 [1,0.166667,0.333333,0,0.5,0.138462,0,0.666667,0.909091,0.181818] precision 0.37861340679522504 [0.9,0.555556,0,0.333333,0.14876,0.25,0.181818,0.333333,1,0.083333] precision 0.458814443132625 [0.875,0.4,0.123967,0.428571,0.333333,0.5,0.2,1,0.727273,0] precision 0.4741807578726183 [1,0.5,0.4,0.25,0.5,0.147287,0.1875,0.714286,0.888889,0.153846] precision 0.35187342508238023 [0.928571,0.25,0.5,0.2,0.4,0.149254,0.125,0,0.875,0.090909] precision 0.4261320970695971 [0.923077,0.333333,0.4,0.2,0.140625,0.333333,0.083333,0.714286,1,0.133333] precision 0.48717335646809334 [0.923077,0.333333,0.136,0.666667,0.666667,0.5,0.157895,0.666667,0.75,0.071429] precision 0.5308397932816538 [0.916667,0.666667,0.166667,0.147287,0.5,1,0.125,0.8,0.875,0.111111] precision 0.4830641821946169 [0.833333,0.285714,0.144928,0.333333,1,0.4,0.083333,0.75,1,0] predictive_accuracy 0.23 predictive_accuracy 0.25 predictive_accuracy 0.245 predictive_accuracy 0.265 predictive_accuracy 0.24 predictive_accuracy 0.235 predictive_accuracy 0.25 predictive_accuracy 0.255 predictive_accuracy 0.25 predictive_accuracy 0.24 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.23 [0.4,0.05,0.05,0,0.1,0.9,0,0.1,0.5,0.2] recall 0.25 [0.45,0.25,0,0.05,0.9,0.05,0.2,0.05,0.5,0.05] recall 0.245 [0.35,0.1,0.75,0.15,0.05,0.2,0.15,0.3,0.4,0] recall 0.265 [0.45,0.1,0.1,0.05,0.1,0.95,0.15,0.25,0.4,0.1] recall 0.24 [0.65,0.05,0.05,0.05,0.1,1,0.1,0,0.35,0.05] recall 0.235 [0.6,0.05,0.8,0.05,0.15,0,0,0,0.5,0.2] recall 0.25 [0.6,0.1,0.1,0.05,0.9,0.05,0.05,0.25,0.3,0.1] recall 0.255 [0.6,0.05,0.85,0.1,0.1,0.15,0.15,0.2,0.3,0.05] recall 0.25 [0.55,0.1,0.05,0.95,0.05,0.05,0.1,0.2,0.35,0.1] recall 0.24 [0.5,0.1,1,0.05,0.2,0.1,0.05,0.15,0.25,0] relative_absolute_error 0.8555555555555543 relative_absolute_error 0.8333333333333321 relative_absolute_error 0.8388888888888879 relative_absolute_error 0.8166666666666655 relative_absolute_error 0.8444444444444431 relative_absolute_error 0.8499999999999989 relative_absolute_error 0.8333333333333321 relative_absolute_error 0.8277777777777767 relative_absolute_error 0.8333333333333321 relative_absolute_error 0.8444444444444431 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.3924283374069712 root_mean_squared_error 0.3872983346207412 root_mean_squared_error 0.38858718455450847 root_mean_squared_error 0.3834057902536158 root_mean_squared_error 0.38987177379235805 root_mean_squared_error 0.39115214431215845 root_mean_squared_error 0.3872983346207412 root_mean_squared_error 0.38600518131237516 root_mean_squared_error 0.3872983346207412 root_mean_squared_error 0.38987177379235805 root_relative_squared_error 1.308094458023238 root_relative_squared_error 1.2909944487358047 root_relative_squared_error 1.2952906151816959 root_relative_squared_error 1.278019300845387 root_relative_squared_error 1.2995725793078607 root_relative_squared_error 1.303840481040529 root_relative_squared_error 1.2909944487358047 root_relative_squared_error 1.286683937707918 root_relative_squared_error 1.2909944487358047 root_relative_squared_error 1.2995725793078607 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 344.2955450000227 usercpu_time_millis 340.32106199992995 usercpu_time_millis 341.60811099991406 usercpu_time_millis 343.0574370004251 usercpu_time_millis 342.91149900036544 usercpu_time_millis 341.4801130002161 usercpu_time_millis 341.8959200007521 usercpu_time_millis 340.6802890003746 usercpu_time_millis 343.0523280003399 usercpu_time_millis 341.2055029994008 usercpu_time_millis_testing 15.678540999942925 usercpu_time_millis_testing 15.67887300006987 usercpu_time_millis_testing 15.688423000028706 usercpu_time_millis_testing 15.622969000105513 usercpu_time_millis_testing 15.670755999963148 usercpu_time_millis_testing 15.638150999620848 usercpu_time_millis_testing 15.654300000278454 usercpu_time_millis_testing 15.675642000132939 usercpu_time_millis_testing 15.724521999800345 usercpu_time_millis_testing 15.659173999665654 usercpu_time_millis_training 328.61700400007976 usercpu_time_millis_training 324.6421889998601 usercpu_time_millis_training 325.91968799988535 usercpu_time_millis_training 327.4344680003196 usercpu_time_millis_training 327.2407430004023 usercpu_time_millis_training 325.84196200059523 usercpu_time_millis_training 326.24162000047363 usercpu_time_millis_training 325.0046470002417 usercpu_time_millis_training 327.32780600053957 usercpu_time_millis_training 325.5463289997351 wall_clock_time_millis 344.2966938018799 wall_clock_time_millis 340.31176567077637 wall_clock_time_millis 341.5994644165039 wall_clock_time_millis 343.0473804473877 wall_clock_time_millis 342.91648864746094 wall_clock_time_millis 341.47024154663086 wall_clock_time_millis 341.8893814086914 wall_clock_time_millis 340.6720161437988 wall_clock_time_millis 343.04189682006836 wall_clock_time_millis 341.2003517150879 wall_clock_time_millis_testing 15.688419342041016 wall_clock_time_millis_testing 15.687704086303711 wall_clock_time_millis_testing 15.697240829467773 wall_clock_time_millis_testing 15.631437301635742 wall_clock_time_millis_testing 15.680789947509766 wall_clock_time_millis_testing 15.647411346435547 wall_clock_time_millis_testing 15.663862228393555 wall_clock_time_millis_testing 15.685081481933594 wall_clock_time_millis_testing 15.7318115234375 wall_clock_time_millis_testing 15.669107437133789 wall_clock_time_millis_training 328.60827445983887 wall_clock_time_millis_training 324.62406158447266 wall_clock_time_millis_training 325.90222358703613 wall_clock_time_millis_training 327.41594314575195 wall_clock_time_millis_training 327.2356986999512 wall_clock_time_millis_training 325.8228302001953 wall_clock_time_millis_training 326.22551918029785 wall_clock_time_millis_training 324.98693466186523 wall_clock_time_millis_training 327.31008529663086 wall_clock_time_millis_training 325.5312442779541