10370610 8323 Heinrich Peters 3918 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8225957 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 1.5027812857125642 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6143697206439183 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.17254155143241814 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 53699 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21662925 description https://api.openml.org/data/download/21662925/description.xml -1 21662926 predictions https://api.openml.org/data/download/21662926/predictions.arff area_under_roc_curve 0.6198907681465821 [0.619891,0.619891] average_cost 0 f_measure 0.9125109039869904 [0.956855,0.318182] kappa 0.2763091112110097 kb_relative_information_score 0.12171751092996091 mean_absolute_error 0.0811541929666366 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.9076365017632173 [0.946869,0.381818] predictive_accuracy 0.9188458070333634 prior_entropy 0.36380676688852276 recall 0.9188458070333634 [0.967054,0.272727] relative_absolute_error 0.6247930166149045 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.28487575005015187 root_relative_squared_error 1.12072690344223 total_cost 0 area_under_roc_curve 0.6380494505494504 [0.638049,0.638049] area_under_roc_curve 0.628434065934066 [0.628434,0.628434] area_under_roc_curve 0.5479368932038835 [0.547937,0.547937] area_under_roc_curve 0.7402912621359223 [0.740291,0.740291] area_under_roc_curve 0.6055825242718448 [0.605583,0.605583] area_under_roc_curve 0.6632281553398057 [0.663228,0.663228] area_under_roc_curve 0.7257281553398057 [0.725728,0.725728] area_under_roc_curve 0.48058252427184467 [0.480583,0.480583] area_under_roc_curve 0.6055825242718448 [0.605583,0.605583] area_under_roc_curve 0.5568654646324549 [0.556865,0.556865] 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 0.9356450790413054 [0.971698,0.4] f_measure 0.9222651222651223 [0.961905,0.333333] f_measure 0.8957528957528955 [0.952381,0.166667] f_measure 0.9423448173448172 [0.971154,0.571429] f_measure 0.903908028908029 [0.951923,0.285714] f_measure 0.9099099099099099 [0.951456,0.375] f_measure 0.9211058978634301 [0.956098,0.470588] f_measure 0.8749034749034749 [0.942857,0] f_measure 0.903908028908029 [0.951923,0.285714] f_measure 0.9076120052196607 [0.956938,0.181818] kappa 0.3764044943820223 kappa 0.29635499207606897 kappa 0.12460567823343913 kappa 0.5432098765432097 kappa 0.23868312757201662 kappa 0.32645631067961206 kappa 0.42685025817555955 kappa -0.050473186119873475 kappa 0.23868312757201662 kappa 0.14211438474870072 kb_relative_information_score 0.3741709080482257 kb_relative_information_score 0.1655612107309671 kb_relative_information_score 0.05068722628849021 kb_relative_information_score 0.4304123357730941 kb_relative_information_score 0.050687226288490234 kb_relative_information_score 0.05068722628848985 kb_relative_information_score 0.145618503659641 kb_relative_information_score -0.13917532845381195 kb_relative_information_score 0.050687226288490025 kb_relative_information_score 0.05863737421380702 mean_absolute_error 0.05405405405405406 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.05405405405405406 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.10810810810810811 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.08181818181818182 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9356022689356024 [0.953704,0.666667] precision 0.917967023627401 [0.95283,0.4] precision 0.8852403805674834 [0.934579,0.25] precision 0.9406263406263405 [0.961905,0.666667] precision 0.898927498927499 [0.942857,0.333333] precision 0.9099099099099099 [0.951456,0.375] precision 0.9235706294529825 [0.960784,0.444444] precision 0.8585501389239707 [0.925234,0] precision 0.898927498927499 [0.942857,0.333333] precision 0.8992710120068611 [0.943396,0.25] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.8918918918918919 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9181818181818181 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 recall 0.9459459459459459 [0.990385,0.285714] recall 0.9279279279279279 [0.971154,0.285714] recall 0.9099099099099099 [0.970874,0.125] recall 0.9459459459459459 [0.980583,0.5] recall 0.9099099099099099 [0.961165,0.25] recall 0.9099099099099099 [0.951456,0.375] recall 0.918918918918919 [0.951456,0.5] recall 0.8918918918918919 [0.961165,0] recall 0.9099099099099099 [0.961165,0.25] recall 0.9181818181818182 [0.970874,0.142857] relative_absolute_error 0.4344652284429384 relative_absolute_error 0.5792869712572513 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.40900724015216605 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.8180144803043321 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6550278414674093 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.23249527748763857 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.23249527748763857 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.3287979746107146 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.28603877677367767 root_relative_squared_error 0.9560573466910262 root_relative_squared_error 1.1039599329455667 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 0.899005222930578 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.2713853789126714 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.171366199708197 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 132.06745800016506 usercpu_time_millis 103.53317900080583 usercpu_time_millis 120.77211199994053 usercpu_time_millis 125.49824999950943 usercpu_time_millis 72.88852199963003 usercpu_time_millis 132.91856600062602 usercpu_time_millis 98.56946299987612 usercpu_time_millis 80.5110910005169 usercpu_time_millis 111.5173970001706 usercpu_time_millis 106.66828399916994 usercpu_time_millis_testing 1.7412389997844002 usercpu_time_millis_testing 1.7225110004801536 usercpu_time_millis_testing 1.730336000036914 usercpu_time_millis_testing 1.7652739998084144 usercpu_time_millis_testing 1.710122000076808 usercpu_time_millis_testing 1.7390080001860042 usercpu_time_millis_testing 1.6993130002447288 usercpu_time_millis_testing 1.7141770003945567 usercpu_time_millis_testing 1.750189000631508 usercpu_time_millis_testing 1.6728279997550999 usercpu_time_millis_training 130.32621900038066 usercpu_time_millis_training 101.81066800032568 usercpu_time_millis_training 119.04177599990362 usercpu_time_millis_training 123.73297599970101 usercpu_time_millis_training 71.17839999955322 usercpu_time_millis_training 131.17955800044 usercpu_time_millis_training 96.8701499996314 usercpu_time_millis_training 78.79691400012234 usercpu_time_millis_training 109.7672079995391 usercpu_time_millis_training 104.99545599941484 wall_clock_time_millis 132.0781707763672 wall_clock_time_millis 103.54208946228027 wall_clock_time_millis 120.78166007995605 wall_clock_time_millis 125.50759315490723 wall_clock_time_millis 72.89671897888184 wall_clock_time_millis 132.95364379882812 wall_clock_time_millis 98.57988357543945 wall_clock_time_millis 80.5208683013916 wall_clock_time_millis 111.5260124206543 wall_clock_time_millis 106.67872428894043 wall_clock_time_millis_testing 1.7457008361816406 wall_clock_time_millis_testing 1.7261505126953125 wall_clock_time_millis_testing 1.7347335815429688 wall_clock_time_millis_testing 1.768350601196289 wall_clock_time_millis_testing 1.7132759094238281 wall_clock_time_millis_testing 1.7435550689697266 wall_clock_time_millis_testing 1.7039775848388672 wall_clock_time_millis_testing 1.7178058624267578 wall_clock_time_millis_testing 1.7538070678710938 wall_clock_time_millis_testing 1.6765594482421875 wall_clock_time_millis_training 130.33246994018555 wall_clock_time_millis_training 101.81593894958496 wall_clock_time_millis_training 119.04692649841309 wall_clock_time_millis_training 123.73924255371094 wall_clock_time_millis_training 71.18344306945801 wall_clock_time_millis_training 131.2100887298584 wall_clock_time_millis_training 96.87590599060059 wall_clock_time_millis_training 78.80306243896484 wall_clock_time_millis_training 109.7722053527832 wall_clock_time_millis_training 105.00216484069824