10438176 10792 George Volkov 14 Supervised Classification 17487 sklearn.linear_model._logistic.LogisticRegression(1) 8261076 C 50 17487 class_weight null 17487 dual false 17487 fit_intercept true 17487 intercept_scaling 1 17487 l1_ratio null 17487 max_iter 10000 17487 multi_class "auto" 17487 n_jobs null 17487 penalty "l2" 17487 random_state 50620 17487 solver "lbfgs" 17487 tol 0.0001 17487 verbose 0 17487 warm_start false 17487 openml-python Sklearn_0.22.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21800769 description https://api.openml.org/data/download/21800769/description.xml -1 21800770 predictions https://api.openml.org/data/download/21800770/predictions.arff area_under_roc_curve 0.9809016666666667 [0.999997,0.966308,0.995925,0.988456,0.968764,0.993625,0.955656,0.993508,0.998478,0.9483] average_cost 0 f_measure 0.8349032096010576 [0.997506,0.768844,0.941772,0.886076,0.792079,0.923858,0.60199,0.877108,0.979798,0.58] kappa 0.8161111111111111 kb_relative_information_score 0.8383927131722879 mean_absolute_error 0.04376656542185239 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.8345 [1,0.765,0.93,0.875,0.8,0.91,0.605,0.91,0.97,0.58] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8356809702282739 [0.995025,0.772727,0.953846,0.897436,0.784314,0.938144,0.59901,0.846512,0.989796,0.58] predictive_accuracy 0.8345 prior_entropy 3.3219280948872383 relative_absolute_error 0.2431475856769502 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15171200157962714 root_relative_squared_error 0.5057066719320827 total_cost 0 unweighted_recall 0.8344999999999999 [1,0.765,0.93,0.875,0.8,0.91,0.605,0.91,0.97,0.58] area_under_roc_curve 0.9835 [1,0.983333,0.999167,0.992778,0.976389,1,0.945556,0.993056,1,0.944722] area_under_roc_curve 0.9802777777777778 [1,0.953889,0.999444,0.990833,0.954167,0.985,0.960278,0.992778,1,0.966389] area_under_roc_curve 0.9757777777777776 [1,0.972222,0.999167,0.958611,0.981944,0.992222,0.909722,0.994167,1,0.949722] area_under_roc_curve 0.9926944444444444 [1,0.980833,0.994722,1,0.991111,0.9975,0.99,0.996389,0.9975,0.978889] area_under_roc_curve 0.9783055555555557 [1,0.958333,0.998333,0.971667,0.973333,0.995,0.961111,0.995,1,0.930278] area_under_roc_curve 0.9828055555555555 [1,0.971389,0.999444,0.988333,0.956389,0.998611,0.968056,0.992222,1,0.953611] area_under_roc_curve 0.9839999999999999 [1,0.976667,0.988889,0.998056,0.978889,0.995,0.96,0.994167,1,0.948333] area_under_roc_curve 0.9817222222222222 [1,0.945278,0.996111,0.996944,0.966667,0.992222,0.962778,0.993056,0.998333,0.965833] area_under_roc_curve 0.9789166666666667 [1,0.948333,0.999722,0.997222,0.985833,0.985833,0.9525,0.995,1,0.924722] area_under_roc_curve 0.9765555555555556 [1,0.976667,0.986111,0.995278,0.938889,0.999167,0.953611,0.99,0.988889,0.936944] 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 0.8329630965478952 [1,0.837209,0.926829,0.864865,0.857143,1,0.536585,0.820513,1,0.486486] f_measure 0.8259673235184475 [1,0.789474,0.947368,0.878049,0.769231,0.9,0.512821,0.883721,0.974359,0.604651] f_measure 0.8073695887248453 [1,0.761905,0.947368,0.810811,0.782609,0.878049,0.604651,0.842105,0.97561,0.470588] f_measure 0.8906084060032111 [1,0.789474,0.974359,0.97561,0.851064,0.918919,0.777778,0.871795,0.974359,0.772727] f_measure 0.7957374674961324 [0.97561,0.682927,0.947368,0.780488,0.717949,0.871795,0.615385,0.829268,1,0.536585] f_measure 0.8316880621758669 [1,0.722222,0.926829,0.829268,0.810811,0.909091,0.636364,0.952381,0.974359,0.555556] f_measure 0.8247804089267504 [1,0.756757,0.918919,0.926829,0.8,0.923077,0.577778,0.844444,1,0.5] f_measure 0.8646467132095695 [1,0.8,0.95,0.97561,0.789474,0.947368,0.697674,0.904762,0.95,0.631579] f_measure 0.8378680180314656 [1,0.736842,0.97561,0.95,0.780488,0.947368,0.5,0.883721,1,0.604651] f_measure 0.8268620193895592 [1,0.8,0.904762,0.857143,0.742857,0.947368,0.555556,0.930233,0.947368,0.583333] kappa 0.8166666666666667 kappa 0.8055555555555555 kappa 0.788888888888889 kappa 0.8777777777777778 kappa 0.7722222222222223 kappa 0.8166666666666667 kappa 0.8055555555555555 kappa 0.85 kappa 0.8222222222222222 kappa 0.8055555555555555 kb_relative_information_score 0.8467624131331865 kb_relative_information_score 0.8371774057384029 kb_relative_information_score 0.8149218096315716 kb_relative_information_score 0.874577278739851 kb_relative_information_score 0.8083897376086858 kb_relative_information_score 0.8405589285500155 kb_relative_information_score 0.8355937678131418 kb_relative_information_score 0.8512590990098363 kb_relative_information_score 0.8526957942299301 kb_relative_information_score 0.8219908972679637 mean_absolute_error 0.04270717926080562 mean_absolute_error 0.04498660786370743 mean_absolute_error 0.04794455808141275 mean_absolute_error 0.03786386577393737 mean_absolute_error 0.04823664357755557 mean_absolute_error 0.04326080824925748 mean_absolute_error 0.04380266214422766 mean_absolute_error 0.04177943723344223 mean_absolute_error 0.04097687266057151 mean_absolute_error 0.046107019373606686 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 0.8342055440857433 [1,0.782609,0.904762,0.941176,0.818182,1,0.52381,0.842105,1,0.529412] precision 0.8297570011986489 [1,0.833333,1,0.857143,0.789474,0.9,0.526316,0.826087,1,0.565217] precision 0.8136992021902506 [1,0.727273,1,0.882353,0.692308,0.857143,0.565217,0.888889,0.952381,0.571429] precision 0.9004525201893623 [1,0.833333,1,0.952381,0.740741,1,0.875,0.894737,1,0.708333] precision 0.7977443609022556 [0.952381,0.666667,1,0.761905,0.736842,0.894737,0.631579,0.809524,1,0.52381] precision 0.8359896231219761 [1,0.8125,0.904762,0.809524,0.882353,0.833333,0.583333,0.909091,1,0.625] precision 0.8318159737579243 [1,0.823529,1,0.904762,0.8,0.947368,0.52,0.76,1,0.5625] precision 0.8668191229060795 [1,0.8,0.95,0.952381,0.833333,1,0.652174,0.863636,0.95,0.666667] precision 0.839586783988958 [1,0.777778,0.952381,0.95,0.761905,1,0.5625,0.826087,1,0.565217] precision 0.8444868247694335 [1,0.72,0.863636,1,0.866667,1,0.625,0.869565,1,0.5] predictive_accuracy 0.835 predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.89 predictive_accuracy 0.795 predictive_accuracy 0.835 predictive_accuracy 0.825 predictive_accuracy 0.865 predictive_accuracy 0.84 predictive_accuracy 0.825 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 relative_absolute_error 0.23726210700447592 relative_absolute_error 0.24992559924281932 relative_absolute_error 0.2663586560078489 relative_absolute_error 0.21035480985520785 relative_absolute_error 0.26798135320864236 relative_absolute_error 0.24033782360698627 relative_absolute_error 0.24334812302348724 relative_absolute_error 0.2321079846302349 relative_absolute_error 0.2276492925587309 relative_absolute_error 0.25615010763114854 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 0.14700040777005396 root_mean_squared_error 0.15334691286510757 root_mean_squared_error 0.1613848033007874 root_mean_squared_error 0.12953278400501694 root_mean_squared_error 0.16801211693712845 root_mean_squared_error 0.1500257865128786 root_mean_squared_error 0.15391232046745587 root_mean_squared_error 0.14602405560045595 root_mean_squared_error 0.14388377931185922 root_mean_squared_error 0.1605202310718923 root_relative_squared_error 0.4900013592335135 root_relative_squared_error 0.5111563762170256 root_relative_squared_error 0.5379493443359583 root_relative_squared_error 0.43177594668339014 root_relative_squared_error 0.5600403897904285 root_relative_squared_error 0.500085955042929 root_relative_squared_error 0.5130410682248532 root_relative_squared_error 0.4867468520015201 root_relative_squared_error 0.4796125977061977 root_relative_squared_error 0.5350674369063081 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 unweighted_recall 0.835 [1,0.9,0.95,0.8,0.9,1,0.55,0.8,1,0.45] unweighted_recall 0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65] unweighted_recall 0.8100000000000002 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.8,1,0.4] unweighted_recall 0.8899999999999999 [1,0.75,0.95,1,1,0.85,0.7,0.85,0.95,0.85] unweighted_recall 0.7949999999999999 [1,0.7,0.9,0.8,0.7,0.85,0.6,0.85,1,0.55] unweighted_recall 0.835 [1,0.65,0.95,0.85,0.75,1,0.7,1,0.95,0.5] unweighted_recall 0.825 [1,0.7,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45] unweighted_recall 0.865 [1,0.8,0.95,1,0.75,0.9,0.75,0.95,0.95,0.6] unweighted_recall 0.8400000000000001 [1,0.7,1,0.95,0.8,0.9,0.45,0.95,1,0.65] unweighted_recall 0.825 [1,0.9,0.95,0.75,0.65,0.9,0.5,1,0.9,0.7] usercpu_time_millis 4265.625 usercpu_time_millis 4000 usercpu_time_millis 4125 usercpu_time_millis 4125 usercpu_time_millis 4250 usercpu_time_millis 4375 usercpu_time_millis 4125 usercpu_time_millis 4250 usercpu_time_millis 4375 usercpu_time_millis 4875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 4265.625 usercpu_time_millis_training 4000 usercpu_time_millis_training 4125 usercpu_time_millis_training 4125 usercpu_time_millis_training 4250 usercpu_time_millis_training 4375 usercpu_time_millis_training 4125 usercpu_time_millis_training 4250 usercpu_time_millis_training 4375 usercpu_time_millis_training 4875 wall_clock_time_millis 543.1127548217773 wall_clock_time_millis 498.11267852783203 wall_clock_time_millis 527.1191596984863 wall_clock_time_millis 516.1168575286865 wall_clock_time_millis 534.121036529541 wall_clock_time_millis 538.1219387054443 wall_clock_time_millis 522.118330001831 wall_clock_time_millis 530.1206111907959 wall_clock_time_millis 558.1254959106445 wall_clock_time_millis 601.1364459991455 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 1.0004043579101562 wall_clock_time_millis_testing 1.0001659393310547 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 543.1127548217773 wall_clock_time_millis_training 497.1122741699219 wall_clock_time_millis_training 526.1189937591553 wall_clock_time_millis_training 516.1168575286865 wall_clock_time_millis_training 534.121036529541 wall_clock_time_millis_training 538.1219387054443 wall_clock_time_millis_training 522.118330001831 wall_clock_time_millis_training 530.1206111907959 wall_clock_time_millis_training 558.1254959106445 wall_clock_time_millis_training 601.1364459991455 weighted_recall 0.835 [1,0.9,0.95,0.8,0.9,1,0.55,0.8,1,0.45] weighted_recall 0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65] weighted_recall 0.81 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.8,1,0.4] weighted_recall 0.89 [1,0.75,0.95,1,1,0.85,0.7,0.85,0.95,0.85] weighted_recall 0.795 [1,0.7,0.9,0.8,0.7,0.85,0.6,0.85,1,0.55] weighted_recall 0.835 [1,0.65,0.95,0.85,0.75,1,0.7,1,0.95,0.5] weighted_recall 0.825 [1,0.7,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45] weighted_recall 0.865 [1,0.8,0.95,1,0.75,0.9,0.75,0.95,0.95,0.6] weighted_recall 0.84 [1,0.7,1,0.95,0.8,0.9,0.45,0.95,1,0.65] weighted_recall 0.825 [1,0.9,0.95,0.75,0.65,0.9,0.5,1,0.9,0.7]