10326855 8323 Heinrich Peters 14970 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182525 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 8.027999527330278 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0018226101930636821 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 40885 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. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 21575396 description https://api.openml.org/data/download/21575396/description.xml -1 21575397 predictions https://api.openml.org/data/download/21575397/predictions.arff area_under_roc_curve 0.9926638736963036 [0.99849,0.998533,0.998913,0.983806,0.980446,0.998397] average_cost 0 f_measure 0.987864452864046 [0.998256,0.997732,0.995042,0.96951,0.97176,0.998197] kappa 0.9854008402788137 kb_relative_information_score 0.9869428642489873 mean_absolute_error 0.004045700229795775 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9878968180030316 [0.999418,0.998056,0.990832,0.963849,0.977695,0.999484] predictive_accuracy 0.9878628993106127 prior_entropy 2.575922879508845 recall 0.9878628993106127 [0.997096,0.997409,0.999289,0.975239,0.965897,0.996914] relative_absolute_error 0.01460043038299935 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.06360581915041874 root_relative_squared_error 0.17088271616882322 total_cost 0 area_under_roc_curve 0.9953189053477342 [0.997093,0.996774,0.998876,0.98759,0.992381,1] area_under_roc_curve 0.9929464308000737 [0.997093,1,0.999438,0.984656,0.979292,1] area_under_roc_curve 0.989993972306562 [1,1,0.999438,0.977278,0.970246,0.997423] area_under_roc_curve 0.9947092000823842 [0.997093,1,0.999438,0.986417,0.987093,1] area_under_roc_curve 0.9924560183536149 [0.99711,0.998288,0.994767,0.984194,0.99032,0.99167] area_under_roc_curve 0.9946931589537223 [1,1,1,0.988052,0.982425,1] area_under_roc_curve 0.9935479786746838 [0.999417,0.993506,0.999438,0.988052,0.982425,1] area_under_roc_curve 0.9887943694483607 [1,1,1,0.973192,0.964415,1] area_under_roc_curve 0.9918355364710683 [1,0.996753,0.998313,0.986836,0.97727,0.994872] area_under_roc_curve 0.9923462955269688 [0.997093,1,0.999438,0.981768,0.978692,1] 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 0.9922356234923441 [0.997085,0.996764,0.992908,0.983051,0.984375,1] f_measure 0.9883521815691416 [0.997085,1,0.996441,0.969359,0.970976,1] f_measure 0.9834997283242711 [1,1,0.996441,0.955556,0.957672,0.997416] f_measure 0.9912624359791309 [0.997085,1,0.996466,0.977528,0.978947,1] f_measure 0.9873729544861157 [0.997101,0.990354,0.985915,0.977401,0.984211,0.989637] f_measure 0.9912638790662688 [1,1,1,0.97493,0.976127,1] f_measure 0.9893189083013195 [0.997101,0.993464,0.996466,0.97493,0.976127,1] f_measure 0.9815595313424814 [1,1,1,0.947075,0.949602,1] f_measure 0.9864200616934375 [1,0.996743,0.989474,0.969359,0.970822,0.994845] f_measure 0.9873687566096047 [0.997085,1,0.996441,0.966292,0.968421,1] kappa 0.9906566535625476 kappa 0.9859857748812023 kappa 0.9801473022553391 kappa 0.9894900461553637 kappa 0.9848207797743409 kappa 0.9894896767537047 kappa 0.9871533356539722 kappa 0.9778106341147045 kappa 0.9836521837712213 kappa 0.9848017305826401 kb_relative_information_score 0.9915165049727683 kb_relative_information_score 0.9874933269103603 kb_relative_information_score 0.9823420100619529 kb_relative_information_score 0.9905809077487012 kb_relative_information_score 0.9863271953687428 kb_relative_information_score 0.9906535275451097 kb_relative_information_score 0.9884126129200026 kb_relative_information_score 0.9802466411345881 kb_relative_information_score 0.9854341999583905 kb_relative_information_score 0.9864201791545452 mean_absolute_error 0.0025889967637540453 mean_absolute_error 0.003883495145631068 mean_absolute_error 0.005501618122977345 mean_absolute_error 0.002912621359223301 mean_absolute_error 0.004207119741100323 mean_absolute_error 0.002912621359223301 mean_absolute_error 0.0035598705501618125 mean_absolute_error 0.006148867313915856 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004211208292840945 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.9922785364257857 [1,1,0.985915,0.988636,0.979275,1] precision 0.9884070723405776 [1,1,0.992908,0.961326,0.978723,1] precision 0.9835908059925946 [1,1,0.992908,0.945055,0.967914,1] precision 0.991268973061671 [1,1,0.992958,0.977528,0.978947,1] precision 0.9874318206863736 [1,0.980892,0.979021,0.982955,0.984211,0.994792] precision 0.9913119603607439 [1,1,1,0.966851,0.983957,1] precision 0.9893826619144739 [0.99422,1,0.992958,0.966851,0.983957,1] precision 0.9816907750355918 [1,1,1,0.934066,0.962366,1] precision 0.986603529183 [1,1,0.979167,0.956044,0.983871,1] precision 0.9873978565949215 [1,1,0.992908,0.960894,0.973545,1] predictive_accuracy 0.9922330097087378 predictive_accuracy 0.9883495145631067 predictive_accuracy 0.983495145631068 predictive_accuracy 0.9912621359223301 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9912621359223301 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9815533980582525 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9873663751214772 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 recall 0.9922330097087378 [0.994186,0.993548,1,0.977528,0.989529,1] recall 0.9883495145631068 [0.994186,1,1,0.977528,0.963351,1] recall 0.983495145631068 [1,1,1,0.966292,0.947644,0.994845] recall 0.9912621359223301 [0.994186,1,1,0.977528,0.978947,1] recall 0.987378640776699 [0.99422,1,0.992908,0.97191,0.984211,0.984536] recall 0.9912621359223301 [1,1,1,0.983146,0.968421,1] recall 0.9893203883495145 [1,0.987013,1,0.983146,0.968421,1] recall 0.9815533980582525 [1,1,1,0.960452,0.937173,1] recall 0.9864077669902913 [1,0.993506,1,0.983051,0.958115,0.989744] recall 0.9873663751214772 [0.994186,1,1,0.971751,0.963351,1] relative_absolute_error 0.0093434556369463 relative_absolute_error 0.014015183455419451 relative_absolute_error 0.019854843228510888 relative_absolute_error 0.010510791963723598 relative_absolute_error 0.015182561332606615 relative_absolute_error 0.010511003999496886 relative_absolute_error 0.012847105896283935 relative_absolute_error 0.022190780073440153 relative_absolute_error 0.01635110110674538 relative_absolute_error 0.015198492550963253 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.050882185131478436 root_mean_squared_error 0.062317695284975584 root_mean_squared_error 0.07417289345156589 root_mean_squared_error 0.05396870722208659 root_mean_squared_error 0.0648623137199123 root_mean_squared_error 0.05396870722208659 root_mean_squared_error 0.05966465075873496 root_mean_squared_error 0.07841471363153638 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.06489382322564255 root_relative_squared_error 0.13670081532288822 root_relative_squared_error 0.1674236224817561 root_relative_squared_error 0.19927396953347312 root_relative_squared_error 0.1449848943714774 root_relative_squared_error 0.17425367198995545 root_relative_squared_error 0.1449878190686925 root_relative_squared_error 0.16029409791734064 root_relative_squared_error 0.21067079748066375 root_relative_squared_error 0.18083877506249124 root_relative_squared_error 0.1743518198582473 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 18346.835876000114 usercpu_time_millis 17904.07042700099 usercpu_time_millis 18645.74649399583 usercpu_time_millis 18155.474753002636 usercpu_time_millis 18066.28419199842 usercpu_time_millis 18411.993188005 usercpu_time_millis 18498.199005996867 usercpu_time_millis 18339.65299299598 usercpu_time_millis 18405.097542003205 usercpu_time_millis 18642.804830997193 usercpu_time_millis_testing 2681.549296998128 usercpu_time_millis_testing 2603.359539003577 usercpu_time_millis_testing 2741.0844929981977 usercpu_time_millis_testing 2696.6831340032513 usercpu_time_millis_testing 2663.5816369962413 usercpu_time_millis_testing 2600.6114769988926 usercpu_time_millis_testing 2707.942050998099 usercpu_time_millis_testing 2640.6020860013086 usercpu_time_millis_testing 2671.418147998338 usercpu_time_millis_testing 2704.3337169961887 usercpu_time_millis_training 15665.286579001986 usercpu_time_millis_training 15300.710887997411 usercpu_time_millis_training 15904.662000997632 usercpu_time_millis_training 15458.791618999385 usercpu_time_millis_training 15402.702555002179 usercpu_time_millis_training 15811.381711006106 usercpu_time_millis_training 15790.256954998767 usercpu_time_millis_training 15699.050906994671 usercpu_time_millis_training 15733.679394004866 usercpu_time_millis_training 15938.471114001004 wall_clock_time_millis 18698.599100112915 wall_clock_time_millis 19386.327266693115 wall_clock_time_millis 21220.13783454895 wall_clock_time_millis 19146.746397018433 wall_clock_time_millis 19600.58069229126 wall_clock_time_millis 19843.49489212036 wall_clock_time_millis 19858.397006988525 wall_clock_time_millis 18583.590507507324 wall_clock_time_millis 18803.978204727173 wall_clock_time_millis 18644.805669784546 wall_clock_time_millis_testing 2713.8593196868896 wall_clock_time_millis_testing 2635.8492374420166 wall_clock_time_millis_testing 3557.2962760925293 wall_clock_time_millis_testing 3068.9656734466553 wall_clock_time_millis_testing 2827.9166221618652 wall_clock_time_millis_testing 2884.8495483398438 wall_clock_time_millis_testing 2708.1849575042725 wall_clock_time_millis_testing 2689.9120807647705 wall_clock_time_millis_testing 2671.658515930176 wall_clock_time_millis_testing 2704.6825885772705 wall_clock_time_millis_training 15984.739780426025 wall_clock_time_millis_training 16750.4780292511 wall_clock_time_millis_training 17662.84155845642 wall_clock_time_millis_training 16077.780723571777 wall_clock_time_millis_training 16772.664070129395 wall_clock_time_millis_training 16958.645343780518 wall_clock_time_millis_training 17150.212049484253 wall_clock_time_millis_training 15893.678426742554 wall_clock_time_millis_training 16132.319688796997 wall_clock_time_millis_training 15940.123081207275