10435784 8323 Heinrich Peters 9985 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8255565 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 36.08550842537873 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.045747192972740616 13389 kernel "rbf" 13389 max_iter -1 13389 probability true 13389 random_state 1 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. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21794480 description https://api.openml.org/data/download/21794480/description.xml -1 21794481 predictions https://api.openml.org/data/download/21794481/predictions.arff area_under_roc_curve 0.8252980952481562 [0.777238,0.775175,0.81731,0.769691,0.817184,0.873084] average_cost 0 f_measure 0.5455978906275882 [0.451079,0.279601,0.445113,0.353261,0.347744,0.760751] kappa 0.3984407890326504 kb_relative_information_score 0.31367919790994636 mean_absolute_error 0.19886996093567103 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.571101667211507 [0.450872,0.201646,0.395722,0.316045,0.296474,0.872749] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5434455779258204 [0.451287,0.455814,0.508591,0.400411,0.420455,0.674229] predictive_accuracy 0.571101667211507 prior_entropy 2.3000072984859514 relative_absolute_error 0.7930544495666578 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.30910483486665147 root_relative_squared_error 0.872992724317613 total_cost 0 unweighted_recall 0.42225145751368776 [0.450872,0.201646,0.395722,0.316045,0.296474,0.872749] area_under_roc_curve 0.8376859249813569 [0.808881,0.730866,0.815558,0.788519,0.841993,0.887223] area_under_roc_curve 0.8419255735893476 [0.798503,0.801345,0.848616,0.79805,0.81733,0.882902] area_under_roc_curve 0.820314879806431 [0.741071,0.791568,0.798138,0.747243,0.800893,0.888488] area_under_roc_curve 0.8164347107443793 [0.754801,0.721825,0.853011,0.718358,0.812097,0.875103] area_under_roc_curve 0.8284827685298966 [0.763191,0.810092,0.791397,0.806745,0.854413,0.869814] area_under_roc_curve 0.8207020527929103 [0.758787,0.745931,0.825413,0.81651,0.785103,0.869825] area_under_roc_curve 0.8123755384268284 [0.80744,0.774477,0.780832,0.783827,0.782155,0.845334] area_under_roc_curve 0.8297147074199636 [0.757911,0.803023,0.837641,0.76948,0.843812,0.874012] area_under_roc_curve 0.8231556522025767 [0.778674,0.782675,0.82505,0.7393,0.819378,0.870026] area_under_roc_curve 0.8296285727635193 [0.815847,0.805821,0.804268,0.729538,0.818822,0.873801] 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 0.5567606462873588 [0.488688,0.242424,0.390625,0.376068,0.415094,0.771331] f_measure 0.5765749828223532 [0.469027,0.369231,0.514286,0.373832,0.36036,0.782609] f_measure 0.5381753544366542 [0.373832,0.32,0.477612,0.34,0.263158,0.783646] f_measure 0.5470607811468098 [0.438095,0.313253,0.57931,0.230769,0.342857,0.755633] f_measure 0.5517067027866612 [0.471111,0.305556,0.377953,0.392157,0.440367,0.750424] f_measure 0.5380139476001592 [0.429268,0.253968,0.423358,0.403226,0.367347,0.747069] f_measure 0.5280192820929429 [0.495575,0.273973,0.381679,0.368421,0.271845,0.734835] f_measure 0.5302519234203937 [0.435556,0.149254,0.458015,0.345455,0.285714,0.767918] f_measure 0.5342706103152455 [0.459459,0.215385,0.421875,0.317757,0.339623,0.757576] f_measure 0.5485563077874575 [0.44335,0.333333,0.403101,0.369748,0.392523,0.756757] kappa 0.41523623242167745 kappa 0.4396730756347558 kappa 0.39067553000359323 kappa 0.4021817047307411 kappa 0.40479668355181375 kappa 0.3890558958479307 kappa 0.3755543887480031 kappa 0.382682810677846 kappa 0.38472313184504314 kappa 0.39941700843981964 kb_relative_information_score 0.31322449385504997 kb_relative_information_score 0.3294820403651065 kb_relative_information_score 0.30907117947806706 kb_relative_information_score 0.3148384319584899 kb_relative_information_score 0.3176774933480655 kb_relative_information_score 0.3133178273713558 kb_relative_information_score 0.3014603380715408 kb_relative_information_score 0.3148579713426741 kb_relative_information_score 0.3067410437871554 kb_relative_information_score 0.316110158946671 mean_absolute_error 0.1987310354952821 mean_absolute_error 0.19718089220024043 mean_absolute_error 0.1991098897544959 mean_absolute_error 0.19705066100821728 mean_absolute_error 0.19875324956295676 mean_absolute_error 0.1990372113692694 mean_absolute_error 0.2013926141604678 mean_absolute_error 0.19910209825744324 mean_absolute_error 0.19966565077245765 mean_absolute_error 0.19867729210432558 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5563724416371095 [0.482143,0.444444,0.462963,0.4,0.511628,0.684848] precision 0.5848027996916044 [0.452991,0.705882,0.553846,0.444444,0.416667,0.703125] precision 0.5342662550232103 [0.377358,0.461538,0.542373,0.447368,0.294118,0.692771] precision 0.538703242015125 [0.455446,0.382353,0.6,0.285714,0.418605,0.677019] precision 0.5543121090527386 [0.456897,0.478261,0.461538,0.5,0.510638,0.661677] precision 0.54789364104442 [0.458333,0.571429,0.467742,0.403226,0.5,0.652047] precision 0.5231489243436149 [0.478632,0.416667,0.446429,0.403846,0.341463,0.658385] precision 0.5223189685206648 [0.422414,0.277778,0.535714,0.387755,0.348837,0.681818] precision 0.5327140083888524 [0.451327,0.411765,0.509434,0.369565,0.409091,0.66568] precision 0.5483395233469381 [0.478723,0.5,0.472727,0.37931,0.477273,0.666667] predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5980392156862745 predictive_accuracy 0.565359477124183 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.576797385620915 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5646481178396072 predictive_accuracy 0.5728314238952537 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 relative_absolute_error 0.7927837592911952 relative_absolute_error 0.7860961784426359 relative_absolute_error 0.7936167850124461 relative_absolute_error 0.7855385519661237 relative_absolute_error 0.7923258874718307 relative_absolute_error 0.7934578955808278 relative_absolute_error 0.8028476620927898 relative_absolute_error 0.7942620412833731 relative_absolute_error 0.7968022867318553 relative_absolute_error 0.7928231107228811 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.30671179040554614 root_mean_squared_error 0.3041746331404663 root_mean_squared_error 0.30949254951985283 root_mean_squared_error 0.3103441480153223 root_mean_squared_error 0.30900835463802706 root_mean_squared_error 0.3105232348525755 root_mean_squared_error 0.31327659407287384 root_mean_squared_error 0.3085303898240839 root_mean_squared_error 0.31047363145565066 root_mean_squared_error 0.30842712066655065 root_relative_squared_error 0.8665439071080163 root_relative_squared_error 0.8588253664017509 root_relative_squared_error 0.8736535591335073 root_relative_squared_error 0.8762018895574795 root_relative_squared_error 0.8724305128818456 root_relative_squared_error 0.8767075096125042 root_relative_squared_error 0.8844811330782086 root_relative_squared_error 0.8716797772970069 root_relative_squared_error 0.8774918466925805 root_relative_squared_error 0.8716693350009191 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 0.43112915123749507 [0.495413,0.166667,0.337838,0.354839,0.349206,0.882812] unweighted_recall 0.4564387393180283 [0.486239,0.25,0.48,0.322581,0.31746,0.882353] unweighted_recall 0.40936409450279515 [0.37037,0.244898,0.426667,0.274194,0.238095,0.901961] unweighted_recall 0.43101623326651367 [0.422018,0.265306,0.56,0.193548,0.290323,0.854902] unweighted_recall 0.43451206900832745 [0.486239,0.22449,0.32,0.322581,0.387097,0.866667] unweighted_recall 0.42027664809635007 [0.40367,0.163265,0.386667,0.403226,0.290323,0.87451] unweighted_recall 0.40784418532136146 [0.513761,0.204082,0.333333,0.33871,0.225806,0.831373] unweighted_recall 0.3973165407395389 [0.449541,0.102041,0.4,0.311475,0.241935,0.878906] unweighted_recall 0.4036067661375899 [0.46789,0.145833,0.36,0.278689,0.290323,0.878906] unweighted_recall 0.43053074318114176 [0.412844,0.25,0.351351,0.360656,0.333333,0.875] usercpu_time_millis 17603.615692000174 usercpu_time_millis 17501.647994999985 usercpu_time_millis 17524.762203000137 usercpu_time_millis 17362.47559699996 usercpu_time_millis 17573.347584999738 usercpu_time_millis 17447.492569999897 usercpu_time_millis 17312.88740900027 usercpu_time_millis 17511.630157000127 usercpu_time_millis 17397.656475000076 usercpu_time_millis 17387.239343999907 usercpu_time_millis_testing 228.3313929999622 usercpu_time_millis_testing 225.33382699998583 usercpu_time_millis_testing 227.6145840000936 usercpu_time_millis_testing 224.67341500009752 usercpu_time_millis_testing 223.651468999833 usercpu_time_millis_testing 223.61700400006157 usercpu_time_millis_testing 225.2237130001049 usercpu_time_millis_testing 228.60975799994776 usercpu_time_millis_testing 224.889161999954 usercpu_time_millis_testing 224.6726949999811 usercpu_time_millis_training 17375.284299000214 usercpu_time_millis_training 17276.314167999997 usercpu_time_millis_training 17297.147619000043 usercpu_time_millis_training 17137.80218199986 usercpu_time_millis_training 17349.696115999905 usercpu_time_millis_training 17223.875565999835 usercpu_time_millis_training 17087.663696000163 usercpu_time_millis_training 17283.02039900018 usercpu_time_millis_training 17172.76731300012 usercpu_time_millis_training 17162.566648999928 wall_clock_time_millis 17605.65996170044 wall_clock_time_millis 17501.66368484497 wall_clock_time_millis 17524.797677993774 wall_clock_time_millis 17362.499952316284 wall_clock_time_millis 17575.328588485718 wall_clock_time_millis 17447.47495651245 wall_clock_time_millis 17312.917470932007 wall_clock_time_millis 17511.624813079834 wall_clock_time_millis 17399.821281433105 wall_clock_time_millis 17387.21776008606 wall_clock_time_millis_testing 228.3337116241455 wall_clock_time_millis_testing 225.34537315368652 wall_clock_time_millis_testing 227.61774063110352 wall_clock_time_millis_testing 224.67684745788574 wall_clock_time_millis_testing 223.65379333496094 wall_clock_time_millis_testing 223.6194610595703 wall_clock_time_millis_testing 225.22664070129395 wall_clock_time_millis_testing 228.61337661743164 wall_clock_time_millis_testing 224.89213943481445 wall_clock_time_millis_testing 224.67470169067383 wall_clock_time_millis_training 17377.326250076294 wall_clock_time_millis_training 17276.318311691284 wall_clock_time_millis_training 17297.17993736267 wall_clock_time_millis_training 17137.8231048584 wall_clock_time_millis_training 17351.674795150757 wall_clock_time_millis_training 17223.85549545288 wall_clock_time_millis_training 17087.690830230713 wall_clock_time_millis_training 17283.011436462402 wall_clock_time_millis_training 17174.92914199829 wall_clock_time_millis_training 17162.543058395386 weighted_recall 0.5833333333333334 [0.495413,0.166667,0.337838,0.354839,0.349206,0.882812] weighted_recall 0.5980392156862745 [0.486239,0.25,0.48,0.322581,0.31746,0.882353] weighted_recall 0.565359477124183 [0.37037,0.244898,0.426667,0.274194,0.238095,0.901961] weighted_recall 0.5702614379084967 [0.422018,0.265306,0.56,0.193548,0.290323,0.854902] weighted_recall 0.576797385620915 [0.486239,0.22449,0.32,0.322581,0.387097,0.866667] weighted_recall 0.5669934640522876 [0.40367,0.163265,0.386667,0.403226,0.290323,0.87451] weighted_recall 0.5522875816993464 [0.513761,0.204082,0.333333,0.33871,0.225806,0.831373] weighted_recall 0.5604575163398693 [0.449541,0.102041,0.4,0.311475,0.241935,0.878906] weighted_recall 0.5646481178396072 [0.46789,0.145833,0.36,0.278689,0.290323,0.878906] weighted_recall 0.5728314238952537 [0.412844,0.25,0.351351,0.360656,0.333333,0.875]