10412047 1 Jan van Rijn 3481 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8249811 C 8074.3082891243785 16360 cache_size 200 16360 class_weight null 16360 coef0 0.27616459683356 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.002490629700292651 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 44699 16360 shrinking true 16360 tol 0.0015491441519153866 16360 verbose false 16360 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21745887 description https://api.openml.org/data/download/21745887/description.xml -1 21745888 predictions https://api.openml.org/data/download/21745888/predictions.arff area_under_roc_curve 0.9610518520107665 [0.9924,0.906598,0.990933,0.937065,0.912999,0.96182,0.932198,0.993333,0.9966,0.9692,0.9774,0.999733,0.928237,0.914266,0.998333,0.875466,0.9996,0.999867,0.978866,0.896932,0.988,0.908999,0.988133,0.989667,0.998333,0.952266] average_cost 0 f_measure 0.9250393169966993 [0.970492,0.792937,0.973597,0.868421,0.826446,0.93086,0.833068,0.993289,0.994992,0.949495,0.955075,0.993377,0.852893,0.853242,0.998331,0.796491,0.990099,0.996678,0.952066,0.819113,0.979933,0.841567,0.983221,0.981636,0.998331,0.92517] kappa 0.9221033682231317 kb_relative_information_score 0.9241954883294226 mean_absolute_error 0.005761584830457532 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.9255910656101255 [0.954839,0.764706,0.964052,0.857143,0.819672,0.935593,0.796353,1,0.996656,0.959184,0.953488,0.986842,0.843137,0.874126,1,0.840741,0.980392,0.993377,0.944262,0.839161,0.983221,0.860627,0.989865,0.983278,1,0.944444] predictive_accuracy 0.9250993972040529 prior_entropy 4.700438279892712 recall 0.9250993972040529 [0.986667,0.823333,0.983333,0.88,0.833333,0.926174,0.873333,0.986667,0.993333,0.94,0.956667,1,0.862876,0.833333,0.996667,0.756667,1,1,0.96,0.8,0.976667,0.823333,0.976667,0.98,0.996667,0.906667] relative_absolute_error 0.07789663308884737 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.0759051041133436 root_relative_squared_error 0.39470655710134095 total_cost 0 area_under_roc_curve 0.9573333333333333 [0.998667,0.929333,0.982667,0.962667,0.928667,0.932667,0.879333,0.983333,1,0.965333,0.964667,0.999333,0.898,0.929333,0.983333,0.865333,0.999333,1,0.997333,0.862,0.966667,0.947333,1,0.966,1,0.949333] area_under_roc_curve 0.9573333333333333 [0.981333,0.863333,0.998667,0.928667,0.927333,0.982,0.960667,1,0.983333,0.982,0.932667,1,0.914,0.93,1,0.814667,1,0.999333,0.983333,0.897333,0.983333,0.879333,1,0.999333,1,0.95] area_under_roc_curve 0.9613333333333335 [0.998667,0.863333,1,0.948667,0.896667,0.982,0.929333,0.983333,1,0.966,0.981333,1,0.914667,0.93,1,0.846,0.999333,1,0.982667,0.911333,1,0.946,0.983333,0.983333,1,0.948667] area_under_roc_curve 0.9700000000000002 [0.983333,0.962,0.999333,0.916667,0.964,0.983333,0.978,0.983333,1,0.95,0.999333,1,0.929333,0.897333,1,0.929333,1,1,0.999333,0.916,1,0.864667,1,0.999333,1,0.965333] area_under_roc_curve 0.958 [0.999333,0.858667,0.999333,0.947333,0.880667,0.930667,0.946,1,1,0.949333,0.982,0.999333,0.948,0.948667,1,0.881333,0.999333,1,0.947333,0.929333,0.983333,0.894667,0.983333,0.983333,1,0.916667] area_under_roc_curve 0.9653333333333334 [1,0.947333,0.966667,0.929333,0.929333,0.965333,0.88,1,1,0.966667,0.999333,0.999333,0.948667,0.965333,1,0.88,1,1,0.966,0.911333,0.982667,0.898667,0.983333,0.999333,1,0.98] area_under_roc_curve 0.9533333333333337 [0.998667,0.894667,0.998667,0.930667,0.895333,0.933333,0.974667,0.983333,0.999333,0.966667,0.982667,1,0.876,0.812667,1,0.831333,0.999333,1,0.998667,0.897333,0.982667,0.898667,0.999333,0.999333,0.983333,0.95] area_under_roc_curve 0.9606194926568757 [0.997997,0.892657,0.982666,0.914664,0.89733,0.963329,0.929328,1,1,0.983333,1,1,0.978759,0.882666,1,0.913329,0.999332,1,0.915332,0.863329,1,0.89733,1,1,1,0.965332] area_under_roc_curve 0.9639537160658657 [1,0.94466,0.983333,0.94466,0.913329,0.964184,0.915332,1,0.983333,0.980663,0.932666,0.999332,0.946662,0.948665,1,0.895327,1,0.999332,0.999332,0.849332,0.998665,0.965332,0.949332,0.983333,1,0.965999] area_under_roc_curve 0.963285269247886 [0.965999,0.909991,0.997997,0.94733,0.89733,0.982092,0.929328,1,1,0.981998,0.999332,1,0.929996,0.897997,1,0.897997,0.999332,1,0.999332,0.931998,0.982666,0.897997,0.982666,0.983333,1,0.931331] 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 0.9176915534217239 [0.967742,0.83871,0.966667,0.875,0.825397,0.912281,0.779661,0.983051,1,0.933333,0.918033,0.983607,0.842105,0.83871,0.983051,0.814815,0.983607,1,0.9375,0.745763,0.965517,0.885246,1,0.949153,1,0.931034] f_measure 0.9173830990098286 [0.935484,0.77193,0.967742,0.825397,0.8,0.95082,0.835821,1,0.983051,0.95082,0.912281,1,0.847458,0.852459,1,0.730769,1,0.983607,0.983051,0.827586,0.983051,0.779661,1,0.983607,1,0.947368] f_measure 0.9253651855357946 [0.967742,0.77193,1,0.915254,0.813559,0.95082,0.83871,0.983051,1,0.949153,0.935484,1,0.862069,0.852459,1,0.736842,0.983607,1,0.966667,0.793651,1,0.857143,0.983051,0.983051,1,0.915254] f_measure 0.9423719249896723 [0.983051,0.861538,0.983607,0.909091,0.903226,0.983051,0.865672,0.983051,1,0.947368,0.983607,1,0.83871,0.827586,1,0.83871,1,1,0.983607,0.892857,1,0.8,1,0.983607,1,0.933333] f_measure 0.9197280285127992 [0.983607,0.6875,0.983607,0.885246,0.807018,0.866667,0.857143,1,1,0.931034,0.95082,0.983607,0.9,0.915254,1,0.821429,0.983607,1,0.885246,0.83871,0.983051,0.774194,0.983051,0.983051,1,0.909091] f_measure 0.9334061891986607 [1,0.885246,0.965517,0.83871,0.83871,0.933333,0.793103,1,1,0.965517,0.983607,0.983607,0.915254,0.933333,1,0.793103,1,1,0.949153,0.793651,0.966667,0.857143,0.983051,0.983607,1,0.90625] f_measure 0.9100365503001269 [0.967742,0.774194,0.967742,0.866667,0.786885,0.928571,0.805556,0.983051,0.983607,0.965517,0.966667,1,0.71875,0.690909,1,0.754717,0.983607,1,0.967742,0.827586,0.966667,0.857143,0.983607,0.983607,0.983051,0.947368] f_measure 0.9241042526094124 [0.952381,0.738462,0.966667,0.862069,0.827586,0.888889,0.83871,1,1,0.983051,1,1,0.888889,0.851852,1,0.833333,0.983607,1,0.877193,0.77193,1,0.827586,1,1,1,0.933333] f_measure 0.9306937525412405 [1,0.830769,0.983051,0.830769,0.833333,0.931034,0.877193,1,0.983051,0.920635,0.912281,0.983607,0.870968,0.915254,1,0.786885,1,0.983607,0.983607,0.807692,0.967742,0.933333,0.931034,0.983051,1,0.949153] f_measure 0.9292815932170048 [0.949153,0.769231,0.952381,0.885246,0.827586,0.965517,0.83871,1,1,0.95082,0.983607,1,0.852459,0.842105,1,0.842105,0.983607,1,0.983607,0.896552,0.966667,0.842105,0.966667,0.983051,1,0.881356] kappa 0.9146666666666666 kappa 0.9146666666666666 kappa 0.9226666666666667 kappa 0.94 kappa 0.9159999999999999 kappa 0.9306666666666666 kappa 0.9066666666666666 kappa 0.9212328943196716 kappa 0.9279074550128535 kappa 0.9265724078834618 kb_relative_information_score 0.9169526678748606 kb_relative_information_score 0.9169614811727026 kb_relative_information_score 0.9247455168871822 kb_relative_information_score 0.9416121847676527 kb_relative_information_score 0.918253778657899 kb_relative_information_score 0.9325295482224973 kb_relative_information_score 0.9091673749946169 kb_relative_information_score 0.92335233253909 kb_relative_information_score 0.9298447535993685 kb_relative_information_score 0.9285470088751593 mean_absolute_error 0.006311637080867851 mean_absolute_error 0.006311637080867851 mean_absolute_error 0.005719921104536492 mean_absolute_error 0.00443786982248521 mean_absolute_error 0.006213017751479291 mean_absolute_error 0.0051282051282051325 mean_absolute_error 0.006903353057199209 mean_absolute_error 0.005826009677100822 mean_absolute_error 0.005332280043448212 mean_absolute_error 0.005431025970178733 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.9198455450880532 [0.9375,0.8125,0.966667,0.823529,0.787879,0.962963,0.793103,1,1,0.933333,0.903226,0.967742,0.888889,0.8125,1,0.916667,0.967742,1,0.882353,0.758621,1,0.870968,1,0.965517,1,0.964286] precision 0.920389745775591 [0.90625,0.814815,0.9375,0.787879,0.742857,0.935484,0.756757,1,1,0.935484,0.962963,1,0.862069,0.83871,1,0.863636,1,0.967742,1,0.857143,1,0.793103,1,0.967742,1,1] precision 0.9262012259822326 [0.9375,0.814815,1,0.931034,0.827586,0.935484,0.8125,1,1,0.965517,0.90625,1,0.892857,0.83871,1,0.777778,0.967742,1,0.966667,0.757576,1,0.818182,1,1,1,0.931034] precision 0.9456448529897661 [1,0.8,0.967742,1,0.875,1,0.783784,1,1,1,0.967742,1,0.8125,0.857143,1,0.8125,1,1,0.967742,0.961538,1,0.88,1,0.967742,1,0.933333] precision 0.9220993014870639 [0.967742,0.647059,0.967742,0.870968,0.851852,0.866667,0.818182,1,1,0.964286,0.935484,0.967742,0.9,0.931034,1,0.884615,0.967742,1,0.870968,0.8125,1,0.75,1,1,1,1] precision 0.9348280617630298 [1,0.870968,1,0.8125,0.8125,0.933333,0.821429,1,1,1,0.967742,0.967742,0.931034,0.933333,1,0.821429,1,1,0.965517,0.757576,0.966667,0.923077,1,0.967742,1,0.852941] precision 0.9147843487171211 [0.9375,0.75,0.9375,0.866667,0.774194,1,0.690476,1,0.967742,1,0.966667,1,0.676471,0.76,1,0.869565,0.967742,1,0.9375,0.857143,0.966667,0.923077,0.967742,0.967742,1,1] precision 0.9265402057007726 [0.909091,0.685714,0.966667,0.892857,0.857143,0.848485,0.8125,1,1,1,1,1,0.823529,0.958333,1,0.833333,0.967742,1,0.925926,0.814815,1,0.857143,1,1,1,0.933333] precision 0.9339378494868441 [1,0.771429,1,0.771429,0.833333,0.931034,0.925926,1,1,0.878788,0.962963,0.967742,0.84375,0.931034,1,0.774194,1,0.967742,0.967742,0.954545,0.9375,0.933333,0.964286,1,1,0.965517] precision 0.9306308204640183 [0.965517,0.714286,0.909091,0.870968,0.857143,0.965517,0.8125,1,1,0.935484,0.967742,1,0.83871,0.888889,1,0.888889,0.967742,1,0.967742,0.928571,0.966667,0.888889,0.966667,1,1,0.896552] predictive_accuracy 0.9179487179487179 predictive_accuracy 0.9179487179487179 predictive_accuracy 0.9256410256410257 predictive_accuracy 0.9423076923076923 predictive_accuracy 0.9192307692307692 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.9242618741976893 predictive_accuracy 0.9306803594351734 predictive_accuracy 0.9293966623876766 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700435698259304 prior_entropy 4.700429514669705 prior_entropy 4.700429514669705 recall 0.9179487179487179 [1,0.866667,0.966667,0.933333,0.866667,0.866667,0.766667,0.966667,1,0.933333,0.933333,1,0.8,0.866667,0.966667,0.733333,1,1,1,0.733333,0.933333,0.9,1,0.933333,1,0.9] recall 0.9179487179487179 [0.966667,0.733333,1,0.866667,0.866667,0.966667,0.933333,1,0.966667,0.966667,0.866667,1,0.833333,0.866667,1,0.633333,1,1,0.966667,0.8,0.966667,0.766667,1,1,1,0.9] recall 0.9256410256410257 [1,0.733333,1,0.9,0.8,0.966667,0.866667,0.966667,1,0.933333,0.966667,1,0.833333,0.866667,1,0.7,1,1,0.966667,0.833333,1,0.9,0.966667,0.966667,1,0.9] recall 0.9423076923076923 [0.966667,0.933333,1,0.833333,0.933333,0.966667,0.966667,0.966667,1,0.9,1,1,0.866667,0.8,1,0.866667,1,1,1,0.833333,1,0.733333,1,1,1,0.933333] recall 0.9192307692307692 [1,0.733333,1,0.9,0.766667,0.866667,0.9,1,1,0.9,0.966667,1,0.9,0.9,1,0.766667,1,1,0.9,0.866667,0.966667,0.8,0.966667,0.966667,1,0.833333] recall 0.9333333333333333 [1,0.9,0.933333,0.866667,0.866667,0.933333,0.766667,1,1,0.933333,1,1,0.9,0.933333,1,0.766667,1,1,0.933333,0.833333,0.966667,0.8,0.966667,1,1,0.966667] recall 0.9102564102564102 [1,0.8,1,0.866667,0.8,0.866667,0.966667,0.966667,1,0.933333,0.966667,1,0.766667,0.633333,1,0.666667,1,1,1,0.8,0.966667,0.8,1,1,0.966667,0.9] recall 0.9242618741976893 [1,0.8,0.966667,0.833333,0.8,0.933333,0.866667,1,1,0.966667,1,1,0.965517,0.766667,1,0.833333,1,1,0.833333,0.733333,1,0.8,1,1,1,0.933333] recall 0.9306803594351734 [1,0.9,0.966667,0.9,0.833333,0.931034,0.833333,1,0.966667,0.966667,0.866667,1,0.9,0.9,1,0.8,1,1,1,0.7,1,0.933333,0.9,0.966667,1,0.933333] recall 0.9293966623876765 [0.933333,0.833333,1,0.9,0.8,0.965517,0.866667,1,1,0.966667,1,1,0.866667,0.8,1,0.8,1,1,1,0.866667,0.966667,0.8,0.966667,0.966667,1,0.866667] relative_absolute_error 0.08533333333333283 relative_absolute_error 0.08533333333333283 relative_absolute_error 0.0773333333333329 relative_absolute_error 0.05999999999999967 relative_absolute_error 0.0839999999999995 relative_absolute_error 0.06933333333333297 relative_absolute_error 0.09333333333333274 relative_absolute_error 0.07876766272558386 relative_absolute_error 0.07209244937391232 relative_absolute_error 0.07342749473268846 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.07944581222989573 root_mean_squared_error 0.07944581222989573 root_mean_squared_error 0.07563016001924425 root_mean_squared_error 0.06661733875264915 root_mean_squared_error 0.07882269819968922 root_mean_squared_error 0.07161148740394332 root_mean_squared_error 0.08308641921035717 root_mean_squared_error 0.07632830194037347 root_mean_squared_error 0.07302246259506873 root_mean_squared_error 0.07369549491101023 root_relative_squared_error 0.4131182072595603 root_relative_squared_error 0.4131182072595603 root_relative_squared_error 0.3932768165487589 root_relative_squared_error 0.346410147815709 root_relative_squared_error 0.40987801443061306 root_relative_squared_error 0.37237971977552625 root_relative_squared_error 0.4320493628093666 root_relative_squared_error 0.39690721431428017 root_relative_squared_error 0.3797169126044413 root_relative_squared_error 0.3832166816345477 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 8092.916520000244 usercpu_time_millis 8095.347778999894 usercpu_time_millis 8053.029379999771 usercpu_time_millis 8052.180996000288 usercpu_time_millis 8116.150452000056 usercpu_time_millis 8070.479006000141 usercpu_time_millis 8058.659977000161 usercpu_time_millis 8047.5879649998205 usercpu_time_millis 7979.161224999871 usercpu_time_millis 8071.498115999702 usercpu_time_millis_testing 2031.165946000101 usercpu_time_millis_testing 2064.5549319999645 usercpu_time_millis_testing 2069.955906999894 usercpu_time_millis_testing 2087.6879310001186 usercpu_time_millis_testing 2058.6713330001203 usercpu_time_millis_testing 2051.3490920000095 usercpu_time_millis_testing 2064.9665050000294 usercpu_time_millis_testing 2062.723409 usercpu_time_millis_testing 2022.1350469998924 usercpu_time_millis_testing 2076.303555999857 usercpu_time_millis_training 6061.750574000143 usercpu_time_millis_training 6030.79284699993 usercpu_time_millis_training 5983.073472999877 usercpu_time_millis_training 5964.49306500017 usercpu_time_millis_training 6057.479118999936 usercpu_time_millis_training 6019.129914000132 usercpu_time_millis_training 5993.693472000132 usercpu_time_millis_training 5984.86455599982 usercpu_time_millis_training 5957.026177999978 usercpu_time_millis_training 5995.194559999845 wall_clock_time_millis 8093.292713165283 wall_clock_time_millis 8095.611095428467 wall_clock_time_millis 8053.346633911133 wall_clock_time_millis 8052.431344985962 wall_clock_time_millis 8116.452693939209 wall_clock_time_millis 8070.778369903564 wall_clock_time_millis 8058.9258670806885 wall_clock_time_millis 8047.861099243164 wall_clock_time_millis 7979.462146759033 wall_clock_time_millis 8075.132369995117 wall_clock_time_millis_testing 2031.2750339508057 wall_clock_time_millis_testing 2064.624547958374 wall_clock_time_millis_testing 2070.045232772827 wall_clock_time_millis_testing 2087.74995803833 wall_clock_time_millis_testing 2058.7639808654785 wall_clock_time_millis_testing 2051.445722579956 wall_clock_time_millis_testing 2065.0315284729004 wall_clock_time_millis_testing 2062.80517578125 wall_clock_time_millis_testing 2022.2043991088867 wall_clock_time_millis_testing 2076.8749713897705 wall_clock_time_millis_training 6062.0176792144775 wall_clock_time_millis_training 6030.986547470093 wall_clock_time_millis_training 5983.301401138306 wall_clock_time_millis_training 5964.681386947632 wall_clock_time_millis_training 6057.6887130737305 wall_clock_time_millis_training 6019.332647323608 wall_clock_time_millis_training 5993.894338607788 wall_clock_time_millis_training 5985.055923461914 wall_clock_time_millis_training 5957.2577476501465 wall_clock_time_millis_training 5998.257398605347