10590905 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19165 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1) 8304377 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19165 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19165 verbose false 19165 C 1.0 19166 break_ties false 19166 cache_size 200 19166 class_weight null 19166 coef0 0.0 19166 decision_function_shape "ovr" 19166 degree 3 19166 gamma "scale" 19166 kernel "rbf" 19166 max_iter -1 19166 probability false 19166 random_state 4412 19166 shrinking true 19166 tol 0.001 19166 verbose false 19166 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109406 description https://api.openml.org/data/download/22109406/description.xml -1 22109407 predictions https://api.openml.org/data/download/22109407/predictions.arff area_under_roc_curve 0.8323843509397887 [0.832384,0.832384] average_cost 0 f_measure 0.8648837148843715 [0.904439,0.791949] kappa 0.6982899914222561 kb_relative_information_score 0.7013975563626387 mean_absolute_error 0.13096740273396426 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8690325972660358 [0.955887,0.708882] number_of_instances 19020 [12332,6688] precision 0.8718962672539913 [0.858245,0.897067] predictive_accuracy 0.8690325972660358 prior_entropy 0.9355152453166837 relative_absolute_error 0.2872235561736762 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.36189418720665334 root_relative_squared_error 0.7579267402644956 total_cost 0 unweighted_recall 0.8323843509397887 [0.955887,0.708882] area_under_roc_curve 0.8322855908927688 [0.832286,0.832286] area_under_roc_curve 0.8370301536311494 [0.83703,0.83703] area_under_roc_curve 0.8234973214188297 [0.823497,0.823497] area_under_roc_curve 0.8399870526151172 [0.839987,0.839987] area_under_roc_curve 0.833578824479286 [0.833579,0.833579] area_under_roc_curve 0.8348590153441058 [0.834859,0.834859] area_under_roc_curve 0.8236082470477417 [0.823608,0.823608] area_under_roc_curve 0.831702181052448 [0.831702,0.831702] area_under_roc_curve 0.839899766874334 [0.8399,0.8399] area_under_roc_curve 0.8274088136776756 [0.827409,0.827409] 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 0.8657590611011381 [0.905545,0.792262] f_measure 0.8663388010163333 [0.904025,0.796721] f_measure 0.8607909868751514 [0.903861,0.781411] f_measure 0.8694498774563225 [0.906419,0.801314] f_measure 0.8664311440811148 [0.905747,0.79397] f_measure 0.8683808073694624 [0.907492,0.796296] f_measure 0.8571608523317462 [0.899272,0.779547] f_measure 0.8626877280358578 [0.902082,0.790083] f_measure 0.8711298059287935 [0.908462,0.802326] f_measure 0.8604974408631116 [0.901495,0.784937] kappa 0.6998930639789144 kappa 0.7020179814121322 kappa 0.6884159201284756 kappa 0.7090629136184528 kappa 0.7017018395474002 kappa 0.7059177563357983 kappa 0.6809730263384468 kappa 0.6937629075751065 kappa 0.7124365859515251 kappa 0.6884753190041182 kb_relative_information_score 0.7037973322190116 kb_relative_information_score 0.7025981311348798 kb_relative_information_score 0.6955540075470743 kb_relative_information_score 0.7099372827810718 kb_relative_information_score 0.7051428577030724 kb_relative_information_score 0.7099372827810714 kb_relative_information_score 0.684766551121578 kb_relative_information_score 0.6955540075470751 kb_relative_information_score 0.7147317078590701 kb_relative_information_score 0.6919581887385761 mean_absolute_error 0.129863301787592 mean_absolute_error 0.13038906414300735 mean_absolute_error 0.13354363827549948 mean_absolute_error 0.12723449001051526 mean_absolute_error 0.12933753943217666 mean_absolute_error 0.12723449001051526 mean_absolute_error 0.13827549947423765 mean_absolute_error 0.13354363827549948 mean_absolute_error 0.12513144058885384 mean_absolute_error 0.13512092534174552 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 number_of_instances 1902 [1234,668] number_of_instances 1902 [1234,668] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] precision 0.8737445329395402 [0.85735,0.904031] precision 0.8705409849112131 [0.865185,0.880435] precision 0.873256049051678 [0.84741,0.920892] precision 0.8741955214218043 [0.866223,0.888889] precision 0.8740292247287978 [0.858388,0.902857] precision 0.8769523327036685 [0.858279,0.911368] precision 0.8644266859727157 [0.851959,0.887405] precision 0.8680638970440258 [0.859662,0.883549] precision 0.8776069017472733 [0.863936,0.902804] precision 0.8676596666678754 [0.854651,0.891635] predictive_accuracy 0.8701366982124079 predictive_accuracy 0.8696109358569926 predictive_accuracy 0.8664563617245006 predictive_accuracy 0.8727655099894848 predictive_accuracy 0.8706624605678234 predictive_accuracy 0.8727655099894848 predictive_accuracy 0.8617245005257623 predictive_accuracy 0.8664563617245006 predictive_accuracy 0.8748685594111462 predictive_accuracy 0.8648790746582544 prior_entropy 0.9351439892378896 prior_entropy 0.9351439892378896 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 relative_absolute_error 0.28488013159786335 relative_absolute_error 0.28603349245453485 relative_absolute_error 0.29285343944842707 relative_absolute_error 0.27901784388393447 relative_absolute_error 0.2836297090720986 relative_absolute_error 0.27901784388393447 relative_absolute_error 0.30323013612179645 relative_absolute_error 0.29285343944842707 relative_absolute_error 0.2744059786957702 relative_absolute_error 0.2963123383395502 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_squared_error 0.36036551137364964 root_mean_squared_error 0.3610942593603606 root_mean_squared_error 0.3654362301079348 root_mean_squared_error 0.35669943931903686 root_mean_squared_error 0.3596352866894135 root_mean_squared_error 0.35669943931903686 root_mean_squared_error 0.37185413736334527 root_mean_squared_error 0.3654362301079348 root_mean_squared_error 0.35373922681666764 root_mean_squared_error 0.36758798313022356 root_relative_squared_error 0.7549318364424904 root_relative_squared_error 0.7564584949004943 root_relative_squared_error 0.7652925926942866 root_relative_squared_error 0.746996100108731 root_relative_squared_error 0.7531443198546676 root_relative_squared_error 0.746996100108731 root_relative_squared_error 0.7787329045148028 root_relative_squared_error 0.7652925926942866 root_relative_squared_error 0.7407968551674314 root_relative_squared_error 0.7697987705540428 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 0.8322855908927688 [0.959481,0.70509] unweighted_recall 0.8370301536311493 [0.946515,0.727545] unweighted_recall 0.8234973214188297 [0.96837,0.678625] unweighted_recall 0.8399870526151172 [0.950527,0.729447] unweighted_recall 0.8335788244792861 [0.958637,0.70852] unweighted_recall 0.8348590153441058 [0.962693,0.707025] unweighted_recall 0.8236082470477417 [0.952149,0.695067] unweighted_recall 0.8317021810524479 [0.948905,0.714499] unweighted_recall 0.839899766874334 [0.957826,0.721973] unweighted_recall 0.8274088136776756 [0.953771,0.701046] usercpu_time_millis 9734.375 usercpu_time_millis 8921.875 usercpu_time_millis 8890.625 usercpu_time_millis 10078.125 usercpu_time_millis 10765.625 usercpu_time_millis 12843.75 usercpu_time_millis 10375 usercpu_time_millis 10656.25 usercpu_time_millis 11312.5 usercpu_time_millis 10781.25 usercpu_time_millis_testing 1718.75 usercpu_time_millis_testing 1687.5 usercpu_time_millis_testing 1875 usercpu_time_millis_testing 1796.875 usercpu_time_millis_testing 2703.125 usercpu_time_millis_testing 2140.625 usercpu_time_millis_testing 1937.5 usercpu_time_millis_testing 2093.75 usercpu_time_millis_testing 2046.875 usercpu_time_millis_testing 2812.5 usercpu_time_millis_training 8015.625 usercpu_time_millis_training 7234.375 usercpu_time_millis_training 7015.625 usercpu_time_millis_training 8281.25 usercpu_time_millis_training 8062.5 usercpu_time_millis_training 10703.125 usercpu_time_millis_training 8437.5 usercpu_time_millis_training 8562.5 usercpu_time_millis_training 9265.625 usercpu_time_millis_training 7968.75 wall_clock_time_millis 11471.401453018188 wall_clock_time_millis 9172.741651535034 wall_clock_time_millis 9117.769718170166 wall_clock_time_millis 11017.682075500488 wall_clock_time_millis 12977.556943893433 wall_clock_time_millis 14140.89298248291 wall_clock_time_millis 11256.550073623657 wall_clock_time_millis 11552.377939224243 wall_clock_time_millis 12591.801881790161 wall_clock_time_millis 11958.123207092285 wall_clock_time_millis_testing 1784.95454788208 wall_clock_time_millis_testing 1759.9914073944092 wall_clock_time_millis_testing 1973.8657474517822 wall_clock_time_millis_testing 1826.9503116607666 wall_clock_time_millis_testing 3660.9013080596924 wall_clock_time_millis_testing 2231.720447540283 wall_clock_time_millis_testing 2191.744804382324 wall_clock_time_millis_testing 2168.757200241089 wall_clock_time_millis_testing 2184.770107269287 wall_clock_time_millis_testing 3419.039249420166 wall_clock_time_millis_training 9686.446905136108 wall_clock_time_millis_training 7412.750244140625 wall_clock_time_millis_training 7143.903970718384 wall_clock_time_millis_training 9190.731763839722 wall_clock_time_millis_training 9316.65563583374 wall_clock_time_millis_training 11909.172534942627 wall_clock_time_millis_training 9064.805269241333 wall_clock_time_millis_training 9383.620738983154 wall_clock_time_millis_training 10407.031774520874 wall_clock_time_millis_training 8539.08395767212 weighted_recall 0.870136698212408 [0.959481,0.70509] weighted_recall 0.8696109358569927 [0.946515,0.727545] weighted_recall 0.8664563617245006 [0.96837,0.678625] weighted_recall 0.8727655099894848 [0.950527,0.729447] weighted_recall 0.8706624605678234 [0.958637,0.70852] weighted_recall 0.8727655099894848 [0.962693,0.707025] weighted_recall 0.8617245005257623 [0.952149,0.695067] weighted_recall 0.8664563617245006 [0.948905,0.714499] weighted_recall 0.8748685594111462 [0.957826,0.721973] weighted_recall 0.8648790746582544 [0.953771,0.701046]