10329880 8323 Heinrich Peters 9964 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185495 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 525.975989178388 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8208988082481716 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 5.448361803452555e-05 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 44804 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. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21581457 description https://api.openml.org/data/download/21581457/description.xml -1 21581458 predictions https://api.openml.org/data/download/21581458/predictions.arff area_under_roc_curve 0.962682698621949 [0.98653,0.937492,0.970359,0.965067,0.951442,0.974769,0.96681,0.983075,0.950789,0.938806] average_cost 0 f_measure 0.9330728771898132 [0.978193,0.87037,0.911765,0.937107,0.914826,0.947692,0.952077,0.971963,0.934641,0.910299] kappa 0.9253638082493854 kb_relative_information_score 0.9296270841527359 mean_absolute_error 0.013433772755806626 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9342587340458113 [0.98125,0.849398,0.870787,0.937107,0.917722,0.939024,0.967532,0.975,0.966216,0.938356] predictive_accuracy 0.9328311362209668 prior_entropy 3.3218194939376526 recall 0.9328311362209667 [0.975155,0.892405,0.95679,0.937107,0.91195,0.956522,0.937107,0.968944,0.905063,0.883871] relative_absolute_error 0.0746333081395168 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.11590415331560222 root_relative_squared_error 0.38635040017615163 total_cost 0 area_under_roc_curve 0.9583333333333334 [0.96875,0.958333,0.930556,0.996528,0.958333,1,0.90625,0.996528,0.902778,0.965278] area_under_roc_curve 0.9583329984192052 [0.965278,0.923611,0.989583,0.9375,0.965278,0.9375,0.934028,0.996503,0.96875,0.963218] area_under_roc_curve 0.9548364949227018 [0.996528,0.961806,0.958333,0.989583,0.902778,0.934183,1,0.9375,0.9375,0.929885] area_under_roc_curve 0.9615627428127428 [0.96875,0.996503,0.95826,0.902753,0.96875,0.986014,1,0.96875,0.934003,0.929861] area_under_roc_curve 0.9475028590345493 [0.996503,0.857517,0.930613,0.996503,0.961757,1,0.961757,0.96875,0.966667,0.829861] area_under_roc_curve 0.9649857185068453 [1,0.92701,0.963546,0.934003,0.961757,0.996503,0.9375,0.996503,0.966667,0.966667] area_under_roc_curve 0.9615870240870241 [1,0.92701,1,0.963194,0.934003,0.996503,0.929861,0.996503,0.934003,0.930507] area_under_roc_curve 0.9790452602952603 [1,0.963194,0.993007,0.996503,0.961757,0.96875,1,1,0.96875,0.9375] area_under_roc_curve 0.9755487567987569 [1,0.929861,0.993007,0.9375,0.965253,1,0.996503,0.96875,1,0.961757] area_under_roc_curve 0.965034965034965 [0.96875,0.930507,0.98951,0.996503,0.933333,0.930507,1,1,0.930507,0.96875] 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 0.924756014803535 [0.967742,0.882353,0.875,0.969697,0.882353,1,0.896552,0.969697,0.866667,0.9375] f_measure 0.9257592391795427 [0.9375,0.823529,0.914286,0.933333,0.9375,0.933333,0.903226,0.971429,0.967742,0.933333] f_measure 0.9186777108962707 [0.969697,0.909091,0.882353,0.914286,0.866667,0.882353,1,0.933333,0.933333,0.896552] f_measure 0.9312779190653114 [0.967742,0.969697,0.882353,0.866667,0.967742,0.888889,1,0.967742,0.903226,0.896552] f_measure 0.9046169525528142 [0.969697,0.727273,0.857143,0.969697,0.909091,1,0.909091,0.967742,0.965517,0.769231] f_measure 0.9373889042283696 [1,0.848485,0.914286,0.903226,0.909091,0.969697,0.933333,0.969697,0.965517,0.965517] f_measure 0.9305507061294415 [1,0.848485,1,0.933333,0.903226,0.969697,0.896552,0.969697,0.903226,0.875] f_measure 0.9623931123197172 [1,0.933333,0.941176,0.969697,0.909091,0.967742,1,1,0.967742,0.933333] f_measure 0.9558799355544783 [1,0.896552,0.941176,0.933333,0.9375,1,0.969697,0.967742,1,0.909091] f_measure 0.9373587189168442 [0.967742,0.875,0.914286,0.969697,0.928571,0.875,1,1,0.875,0.967742] kappa 0.9166666666666667 kappa 0.9166558145591874 kappa 0.909710465772453 kappa 0.9231242582743616 kappa 0.8951371790362294 kappa 0.9301006726161691 kappa 0.9231174996703152 kappa 0.9580696202531646 kappa 0.951079073447321 kappa 0.9301098901098901 kb_relative_information_score 0.9215142306324238 kb_relative_information_score 0.9214916876748016 kb_relative_information_score 0.9149642462809129 kb_relative_information_score 0.9275506321920143 kb_relative_information_score 0.9010006850294416 kb_relative_information_score 0.9341141486807103 kb_relative_information_score 0.9274173772652216 kb_relative_information_score 0.9603870632841053 kb_relative_information_score 0.9538670832385434 kb_relative_information_score 0.9341533151905219 mean_absolute_error 0.015 mean_absolute_error 0.015 mean_absolute_error 0.01625 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.01886792452830189 mean_absolute_error 0.012578616352201257 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.007547169811320755 mean_absolute_error 0.00880503144654088 mean_absolute_error 0.012578616352201257 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 0.9290091036414566 [1,0.833333,0.875,0.941176,0.833333,1,1,0.941176,0.928571,0.9375] precision 0.9306688596491227 [0.9375,0.777778,0.842105,1,0.9375,1,0.933333,0.944444,1,0.933333] precision 0.9235575151113077 [0.941176,0.882353,0.833333,0.842105,0.928571,0.882353,1,1,1,0.928571] precision 0.9365484558603315 [1,0.941176,0.833333,0.928571,1,0.8,1,1,0.933333,0.928571] precision 0.9084911265821365 [0.941176,0.705882,0.833333,0.941176,0.882353,1,0.882353,1,1,0.909091] precision 0.9399761581781559 [1,0.823529,0.888889,0.933333,0.882353,0.941176,1,0.941176,1,1] precision 0.9313795958635027 [1,0.823529,1,0.933333,0.933333,0.941176,0.928571,0.941176,0.933333,0.875] precision 0.9647716528959591 [1,0.933333,0.888889,0.941176,0.882353,1,1,1,1,1] precision 0.9580331084215657 [1,0.928571,0.888889,1,0.9375,1,0.941176,1,1,0.882353] precision 0.940456023521623 [1,0.875,0.842105,0.941176,1,0.875,1,1,0.875,1] predictive_accuracy 0.925 predictive_accuracy 0.925 predictive_accuracy 0.91875 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9056603773584905 predictive_accuracy 0.9371069182389937 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9622641509433962 predictive_accuracy 0.9559748427672956 predictive_accuracy 0.9371069182389937 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 0.925 [0.9375,0.9375,0.875,1,0.9375,1,0.8125,1,0.8125,0.9375] recall 0.925 [0.9375,0.875,1,0.875,0.9375,0.875,0.875,1,0.9375,0.933333] recall 0.91875 [1,0.9375,0.9375,1,0.8125,0.882353,1,0.875,0.875,0.866667] recall 0.9308176100628931 [0.9375,1,0.9375,0.8125,0.9375,1,1,0.9375,0.875,0.866667] recall 0.9056603773584906 [1,0.75,0.882353,1,0.9375,1,0.9375,0.9375,0.933333,0.666667] recall 0.9371069182389937 [1,0.875,0.941176,0.875,0.9375,1,0.875,1,0.933333,0.933333] recall 0.9308176100628931 [1,0.875,1,0.933333,0.875,1,0.866667,1,0.875,0.875] recall 0.9622641509433962 [1,0.933333,1,1,0.9375,0.9375,1,1,0.9375,0.875] recall 0.9559748427672956 [1,0.866667,1,0.875,0.9375,1,1,0.9375,1,0.9375] recall 0.9371069182389937 [0.9375,0.875,1,1,0.866667,0.875,1,1,0.875,0.9375] relative_absolute_error 0.0833333333333335 relative_absolute_error 0.08333549946713126 relative_absolute_error 0.09028012442272554 relative_absolute_error 0.07687076312749323 relative_absolute_error 0.10482559584272476 relative_absolute_error 0.0698837305618165 relative_absolute_error 0.07687009289977213 relative_absolute_error 0.041928958794706 relative_absolute_error 0.04891711859382366 relative_absolute_error 0.06988129334885296 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 0.1224744871391589 root_mean_squared_error 0.1224744871391589 root_mean_squared_error 0.12747548783981963 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.13736056394868904 root_mean_squared_error 0.11215443081840885 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.08687444855261388 root_mean_squared_error 0.09383512906444409 root_mean_squared_error 0.11215443081840885 root_relative_squared_error 0.4082449276375689 root_relative_squared_error 0.40825553935828673 root_relative_squared_error 0.4249258376879266 root_relative_squared_error 0.3920993182591807 root_relative_squared_error 0.45788134249823853 root_relative_squared_error 0.37385855062040885 root_relative_squared_error 0.3920958995955309 root_relative_squared_error 0.2895807509281278 root_relative_squared_error 0.31278295966923786 root_relative_squared_error 0.3738455121782971 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 489.15585500071757 usercpu_time_millis 486.7440700036241 usercpu_time_millis 480.6988370110048 usercpu_time_millis 482.39766000187956 usercpu_time_millis 487.89491700881626 usercpu_time_millis 491.14882199501153 usercpu_time_millis 493.63478999293875 usercpu_time_millis 494.07214201346505 usercpu_time_millis 492.0774950151099 usercpu_time_millis 485.50521400466096 usercpu_time_millis_testing 56.744966001133434 usercpu_time_millis_testing 54.74269999831449 usercpu_time_millis_testing 55.420718010282144 usercpu_time_millis_testing 54.68286600080319 usercpu_time_millis_testing 55.54340399976354 usercpu_time_millis_testing 55.93588600459043 usercpu_time_millis_testing 55.62514399935026 usercpu_time_millis_testing 56.16221501259133 usercpu_time_millis_testing 54.95353000878822 usercpu_time_millis_testing 56.52759299846366 usercpu_time_millis_training 432.41088899958413 usercpu_time_millis_training 432.0013700053096 usercpu_time_millis_training 425.27811900072265 usercpu_time_millis_training 427.71479400107637 usercpu_time_millis_training 432.3515130090527 usercpu_time_millis_training 435.2129359904211 usercpu_time_millis_training 438.0096459935885 usercpu_time_millis_training 437.9099270008737 usercpu_time_millis_training 437.12396500632167 usercpu_time_millis_training 428.9776210061973 wall_clock_time_millis 489.2086982727051 wall_clock_time_millis 750.8313655853271 wall_clock_time_millis 528.7864208221436 wall_clock_time_millis 530.5044651031494 wall_clock_time_millis 623.9960193634033 wall_clock_time_millis 631.213903427124 wall_clock_time_millis 493.6976432800293 wall_clock_time_millis 494.1272735595703 wall_clock_time_millis 492.13290214538574 wall_clock_time_millis 485.5616092681885 wall_clock_time_millis_testing 56.761741638183594 wall_clock_time_millis_testing 54.75759506225586 wall_clock_time_millis_testing 55.43661117553711 wall_clock_time_millis_testing 54.69918251037598 wall_clock_time_millis_testing 55.55987358093262 wall_clock_time_millis_testing 55.951833724975586 wall_clock_time_millis_testing 55.65023422241211 wall_clock_time_millis_testing 56.17952346801758 wall_clock_time_millis_testing 54.971933364868164 wall_clock_time_millis_testing 56.54406547546387 wall_clock_time_millis_training 432.4469566345215 wall_clock_time_millis_training 696.0737705230713 wall_clock_time_millis_training 473.34980964660645 wall_clock_time_millis_training 475.80528259277344 wall_clock_time_millis_training 568.4361457824707 wall_clock_time_millis_training 575.2620697021484 wall_clock_time_millis_training 438.0474090576172 wall_clock_time_millis_training 437.94775009155273 wall_clock_time_millis_training 437.1609687805176 wall_clock_time_millis_training 429.0175437927246