10328508 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184155 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 7.013344375249213 13389 cache_size 200 13389 class_weight null 13389 coef0 0.4986025326959227 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.14201683116848024 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 12331 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21578702 description https://api.openml.org/data/download/21578702/description.xml -1 21578703 predictions https://api.openml.org/data/download/21578703/predictions.arff area_under_roc_curve 0.7513888888888887 [0.875,0.745833,0.834444,0.770278,0.775556,0.706111,0.614722,0.781667,0.8125,0.597778] average_cost 0 f_measure 0.5750607913488152 [0.857143,0.64918,0.797619,0.511066,0.411765,0.422131,0.334385,0.699387,0.769231,0.298701] kappa 0.5027777777777778 kb_relative_information_score 0.5320235229741107 mean_absolute_error 0.08949999999999919 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6778100758492022 [1,0.942857,0.985294,0.427609,0.281022,0.357639,0.452991,0.904762,1,0.425926] predictive_accuracy 0.5525 prior_entropy 3.3219280948872383 recall 0.5525 [0.75,0.495,0.67,0.635,0.77,0.515,0.265,0.57,0.625,0.23] relative_absolute_error 0.49722222222220247 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2991655060330305 root_relative_squared_error 0.9972183534434197 total_cost 0 area_under_roc_curve 0.761111111111111 [0.9,0.766667,0.8,0.822222,0.8,0.794444,0.638889,0.775,0.75,0.563889] area_under_roc_curve 0.7666666666666666 [0.9,0.672222,0.875,0.836111,0.813889,0.644444,0.625,0.797222,0.875,0.627778] area_under_roc_curve 0.7805555555555556 [0.825,0.822222,0.8,0.744444,0.877778,0.85,0.633333,0.747222,0.925,0.580556] area_under_roc_curve 0.763888888888889 [0.875,0.675,0.775,0.725,0.777778,0.813889,0.783333,0.722222,0.825,0.666667] area_under_roc_curve 0.7194444444444444 [0.875,0.697222,0.775,0.766667,0.769444,0.738889,0.552778,0.766667,0.725,0.527778] area_under_roc_curve 0.7527777777777778 [0.9,0.825,0.875,0.625,0.766667,0.697222,0.580556,0.872222,0.825,0.561111] area_under_roc_curve 0.7694444444444443 [0.875,0.75,0.9,0.891667,0.788889,0.697222,0.561111,0.766667,0.85,0.613889] area_under_roc_curve 0.7361111111111112 [0.85,0.725,0.85,0.741667,0.744444,0.6,0.677778,0.844444,0.675,0.652778] area_under_roc_curve 0.7277777777777779 [0.85,0.75,0.875,0.775,0.661111,0.575,0.536111,0.75,0.875,0.630556] area_under_roc_curve 0.7361111111111112 [0.9,0.775,0.819444,0.775,0.755556,0.65,0.558333,0.775,0.8,0.552778] 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 0.6033652137447204 [0.888889,0.647059,0.75,0.764706,0.619048,0.365385,0.4,0.709677,0.666667,0.222222] f_measure 0.6064518373614796 [0.888889,0.5,0.857143,0.717949,0.391753,0.428571,0.342857,0.727273,0.857143,0.352941] f_measure 0.6206739977612843 [0.787879,0.764706,0.75,0.625,0.62963,0.452381,0.375,0.645161,0.918919,0.258065] f_measure 0.6165984627803439 [0.857143,0.518519,0.709677,0.62069,0.6,0.373832,0.631579,0.6,0.787879,0.466667] f_measure 0.530140990767831 [0.857143,0.551724,0.709677,0.333333,0.666667,0.588235,0.193548,0.647059,0.62069,0.133333] f_measure 0.591253035680177 [0.888889,0.787879,0.857143,0.4,0.333333,0.551724,0.258065,0.833333,0.787879,0.214286] f_measure 0.6173127472966732 [0.857143,0.666667,0.888889,0.820513,0.358491,0.551724,0.214286,0.647059,0.823529,0.344828] f_measure 0.5669311730265076 [0.823529,0.62069,0.823529,0.606061,0.321429,0.333333,0.444444,0.777778,0.518519,0.4] f_measure 0.541188104878235 [0.823529,0.666667,0.857143,0.330579,0.4375,0.26087,0.148148,0.666667,0.857143,0.363636] f_measure 0.5694795588475007 [0.888889,0.709677,0.742857,0.709677,0.322034,0.461538,0.206897,0.709677,0.75,0.193548] kappa 0.5222222222222221 kappa 0.5333333333333333 kappa 0.5611111111111111 kappa 0.5277777777777778 kappa 0.4388888888888889 kappa 0.5055555555555556 kappa 0.5388888888888889 kappa 0.47222222222222227 kappa 0.4555555555555556 kappa 0.47222222222222227 kb_relative_information_score 0.5503242790589122 kb_relative_information_score 0.5607818539645189 kb_relative_information_score 0.586925791228536 kb_relative_information_score 0.5555530665117155 kb_relative_information_score 0.47189246726686124 kb_relative_information_score 0.534637916700502 kb_relative_information_score 0.5660106414173224 kb_relative_information_score 0.5032651919836815 kb_relative_information_score 0.48757882962527144 kb_relative_information_score 0.5032651919836816 mean_absolute_error 0.08599999999999985 mean_absolute_error 0.08399999999999987 mean_absolute_error 0.07899999999999988 mean_absolute_error 0.08499999999999985 mean_absolute_error 0.1009999999999998 mean_absolute_error 0.08899999999999984 mean_absolute_error 0.08299999999999987 mean_absolute_error 0.09499999999999982 mean_absolute_error 0.09799999999999981 mean_absolute_error 0.09499999999999982 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 0.755995670995671 [1,0.785714,1,0.928571,0.590909,0.22619,0.6,1,1,0.428571] precision 0.7360243703664757 [1,0.875,1,0.736842,0.246753,0.75,0.4,0.923077,1,0.428571] precision 0.7331507034632035 [1,0.928571,1,0.833333,0.5,0.296875,0.5,0.909091,1,0.363636] precision 0.809655172413793 [1,1,1,1,0.6,0.229885,0.666667,0.9,1,0.7] precision 0.6909897667344476 [1,0.888889,1,0.202128,0.846154,0.714286,0.272727,0.785714,1,0.2] precision 0.7767152912099721 [1,1,1,1,0.202128,0.888889,0.363636,0.9375,1,0.375] precision 0.7668194225874764 [1,1,1,0.842105,0.22093,0.888889,0.375,0.785714,1,0.555556] precision 0.780654960981048 [1,1,1,0.769231,0.195652,1,0.5,0.875,1,0.466667] precision 0.7528605882566279 [1,1,1,0.19802,0.583333,1,0.285714,1,1,0.461538] precision 0.7666604823747682 [1,1,0.866667,1,0.193878,1,0.333333,1,1,0.272727] predictive_accuracy 0.57 predictive_accuracy 0.58 predictive_accuracy 0.605 predictive_accuracy 0.575 predictive_accuracy 0.495 predictive_accuracy 0.555 predictive_accuracy 0.585 predictive_accuracy 0.525 predictive_accuracy 0.51 predictive_accuracy 0.525 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 0.57 [0.8,0.55,0.6,0.65,0.65,0.95,0.3,0.55,0.5,0.15] recall 0.58 [0.8,0.35,0.75,0.7,0.95,0.3,0.3,0.6,0.75,0.3] recall 0.605 [0.65,0.65,0.6,0.5,0.85,0.95,0.3,0.5,0.85,0.2] recall 0.575 [0.75,0.35,0.55,0.45,0.6,1,0.6,0.45,0.65,0.35] recall 0.495 [0.75,0.4,0.55,0.95,0.55,0.5,0.15,0.55,0.45,0.1] recall 0.555 [0.8,0.65,0.75,0.25,0.95,0.4,0.2,0.75,0.65,0.15] recall 0.585 [0.75,0.5,0.8,0.8,0.95,0.4,0.15,0.55,0.7,0.25] recall 0.525 [0.7,0.45,0.7,0.5,0.9,0.2,0.4,0.7,0.35,0.35] recall 0.51 [0.7,0.5,0.75,1,0.35,0.15,0.1,0.5,0.75,0.3] recall 0.525 [0.8,0.55,0.65,0.55,0.95,0.3,0.15,0.55,0.6,0.15] relative_absolute_error 0.4777777777777775 relative_absolute_error 0.46666666666666645 relative_absolute_error 0.4388888888888887 relative_absolute_error 0.47222222222222193 relative_absolute_error 0.5611111111111107 relative_absolute_error 0.49444444444444413 relative_absolute_error 0.46111111111111086 relative_absolute_error 0.5277777777777773 relative_absolute_error 0.544444444444444 relative_absolute_error 0.5277777777777773 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 0.29325756597230335 root_mean_squared_error 0.28982753492378854 root_mean_squared_error 0.2810693864511037 root_mean_squared_error 0.29154759474226477 root_mean_squared_error 0.31780497164141375 root_mean_squared_error 0.2983286778035257 root_mean_squared_error 0.28809720581775844 root_mean_squared_error 0.30822070014844855 root_mean_squared_error 0.31304951684997023 root_mean_squared_error 0.30822070014844855 root_relative_squared_error 0.9775252199076785 root_relative_squared_error 0.9660917830792957 root_relative_squared_error 0.9368979548370129 root_relative_squared_error 0.9718253158075498 root_relative_squared_error 1.0593499054713797 root_relative_squared_error 0.9944289260117529 root_relative_squared_error 0.9603240193925286 root_relative_squared_error 1.0274023338281624 root_relative_squared_error 1.0434983894999013 root_relative_squared_error 1.0274023338281624 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 1195.5987369947252 usercpu_time_millis 1193.0432640001527 usercpu_time_millis 1206.0615130030783 usercpu_time_millis 1188.84782299574 usercpu_time_millis 1192.3274619985023 usercpu_time_millis 1192.3892210033955 usercpu_time_millis 1188.9296599911177 usercpu_time_millis 1198.577180999564 usercpu_time_millis 1196.4062109982478 usercpu_time_millis 1187.3335169948405 usercpu_time_millis_testing 63.63098599831574 usercpu_time_millis_testing 63.791902000957634 usercpu_time_millis_testing 64.1320659997291 usercpu_time_millis_testing 63.699156999064144 usercpu_time_millis_testing 64.79125999612734 usercpu_time_millis_testing 65.43338100163965 usercpu_time_millis_testing 63.65326499508228 usercpu_time_millis_testing 65.25878899992676 usercpu_time_millis_testing 64.213154000754 usercpu_time_millis_testing 63.77015699399635 usercpu_time_millis_training 1131.9677509964094 usercpu_time_millis_training 1129.251361999195 usercpu_time_millis_training 1141.9294470033492 usercpu_time_millis_training 1125.1486659966758 usercpu_time_millis_training 1127.536202002375 usercpu_time_millis_training 1126.9558400017559 usercpu_time_millis_training 1125.2763949960354 usercpu_time_millis_training 1133.3183919996372 usercpu_time_millis_training 1132.1930569974938 usercpu_time_millis_training 1123.563360000844 wall_clock_time_millis 1255.8605670928955 wall_clock_time_millis 1237.3058795928955 wall_clock_time_millis 1422.1761226654053 wall_clock_time_millis 1333.0864906311035 wall_clock_time_millis 1224.623441696167 wall_clock_time_millis 1396.4974880218506 wall_clock_time_millis 1461.0490798950195 wall_clock_time_millis 1530.7285785675049 wall_clock_time_millis 1324.6901035308838 wall_clock_time_millis 1187.626838684082 wall_clock_time_millis_testing 63.665151596069336 wall_clock_time_millis_testing 63.80867958068848 wall_clock_time_millis_testing 104.14290428161621 wall_clock_time_millis_testing 63.71569633483887 wall_clock_time_millis_testing 64.87011909484863 wall_clock_time_millis_testing 97.44787216186523 wall_clock_time_millis_testing 63.66848945617676 wall_clock_time_millis_testing 81.27546310424805 wall_clock_time_millis_testing 64.2549991607666 wall_clock_time_millis_testing 63.79890441894531 wall_clock_time_millis_training 1192.1954154968262 wall_clock_time_millis_training 1173.497200012207 wall_clock_time_millis_training 1318.033218383789 wall_clock_time_millis_training 1269.3707942962646 wall_clock_time_millis_training 1159.7533226013184 wall_clock_time_millis_training 1299.0496158599854 wall_clock_time_millis_training 1397.3805904388428 wall_clock_time_millis_training 1449.4531154632568 wall_clock_time_millis_training 1260.4351043701172 wall_clock_time_millis_training 1123.8279342651367