10330418 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) 8186027 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 2.127152514532044 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7775734071002594 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.08348320534923016 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 41074 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 21582533 description https://api.openml.org/data/download/21582533/description.xml -1 21582534 predictions https://api.openml.org/data/download/21582534/predictions.arff area_under_roc_curve 0.9931118810863375 [0.999128,0.998686,0.998109,0.983537,0.981901,0.999486] average_cost 0 f_measure 0.9886404185398252 [0.997969,0.997088,0.997508,0.970291,0.972873,0.999485] kappa 0.9863342906042647 kb_relative_information_score 0.9877251999032299 mean_absolute_error 0.0037867754150888435 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9886528832477879 [0.997101,0.996122,0.998574,0.966499,0.976732,1] predictive_accuracy 0.9886396737547335 prior_entropy 2.575922879508845 recall 0.9886396737547335 [0.998839,0.998057,0.996444,0.974114,0.969045,0.998971] relative_absolute_error 0.013666002838487385 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.061536780993880755 root_relative_squared_error 0.1653240602978876 total_cost 0 area_under_roc_curve 0.9952751247253085 [0.997093,0.999429,1,0.984781,0.991785,1] area_under_roc_curve 0.9917721841577873 [1,0.999429,1,0.985704,0.972034,0.997423] area_under_roc_curve 0.9923295304135169 [0.999417,0.996774,1,0.981847,0.978696,1] area_under_roc_curve 0.9934859154929578 [1,1,1,0.97799,0.985307,1] area_under_roc_curve 0.9912279613755592 [1,0.997717,0.992908,0.979038,0.98183,0.997423] area_under_roc_curve 0.9970817688281922 [0.99711,1,0.999438,0.99543,0.99151,1] area_under_roc_curve 0.9917788557788003 [0.998252,0.993506,0.992345,0.983021,0.983866,1] area_under_roc_curve 0.9917349828900872 [1,1,1,0.978362,0.975482,1] area_under_roc_curve 0.9941124079197372 [0.999417,1,0.996454,0.988008,0.982505,1] area_under_roc_curve 0.9923218707631629 [1,1,1,0.981181,0.976074,1] 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 0.9922307550251205 [0.997085,0.996785,1,0.98017,0.981818,1] f_measure 0.9864119677152052 [1,0.996785,1,0.964187,0.965333,0.997416] f_measure 0.9873803609301837 [0.997101,0.996764,1,0.96648,0.968421,1] f_measure 0.9893168337187535 [1,1,1,0.968839,0.971279,1] f_measure 0.9854455907138758 [1,0.987179,0.992857,0.963585,0.973545,0.997416] f_measure 0.9951465132843353 [0.997101,1,0.996466,0.988827,0.989418,1] f_measure 0.9864088293919492 [0.991354,0.993464,0.989324,0.97191,0.973684,1] f_measure 0.9864101783858576 [1,1,1,0.960674,0.963158,1] f_measure 0.9902930728050598 [0.997101,1,0.996441,0.97479,0.976253,1] f_measure 0.9873694564250772 [1,1,1,0.963585,0.965699,1] kappa 0.990656197979743 kappa 0.9836511643726901 kappa 0.9848168554448978 kappa 0.9871535250137762 kappa 0.9824833109603454 kappa 0.9941610639335154 kappa 0.9836478828997907 kappa 0.9836491622746941 kappa 0.9883206050606932 kappa 0.984801419761222 kb_relative_information_score 0.9915782270239231 kb_relative_information_score 0.9855174268650809 kb_relative_information_score 0.986386723008809 kb_relative_information_score 0.988477901354369 kb_relative_information_score 0.9841332456768597 kb_relative_information_score 0.9947839947827568 kb_relative_information_score 0.9849993349190814 kb_relative_information_score 0.9854198006423082 kb_relative_information_score 0.9894899855166401 kb_relative_information_score 0.9864636143029601 mean_absolute_error 0.0025889967637540453 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004207119741100323 mean_absolute_error 0.0035598705501618125 mean_absolute_error 0.004854368932038834 mean_absolute_error 0.0016181229773462782 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.003236245954692557 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 0.9922810137182072 [1,0.99359,1,0.988571,0.974227,1] precision 0.9866705419417535 [1,0.99359,1,0.945946,0.983696,1] precision 0.9874083961861053 [0.99422,1,1,0.961111,0.973545,1] precision 0.9893594532636737 [1,1,1,0.977143,0.963731,1] precision 0.9855318628898514 [1,0.974684,1,0.960894,0.978723,1] precision 0.9951745022223129 [1,1,0.992958,0.983333,0.994681,1] precision 0.9864507628294036 [0.982857,1,0.992857,0.97191,0.973684,1] precision 0.9864329062246294 [1,1,1,0.955307,0.968254,1] precision 0.9903474835013546 [0.99422,1,1,0.966667,0.984043,1] precision 0.987418412147027 [1,1,1,0.955556,0.973404,1] predictive_accuracy 0.9922330097087378 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9854368932038835 predictive_accuracy 0.9951456310679612 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9902912621359223 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 [0.994186,1,1,0.97191,0.989529,1] recall 0.9864077669902913 [1,1,1,0.983146,0.947644,0.994845] recall 0.987378640776699 [1,0.993548,1,0.97191,0.963351,1] recall 0.9893203883495145 [1,1,1,0.960674,0.978947,1] recall 0.9854368932038835 [1,1,0.985816,0.966292,0.968421,0.994845] recall 0.9951456310679612 [0.99422,1,1,0.994382,0.984211,1] recall 0.9864077669902913 [1,0.987013,0.985816,0.97191,0.973684,1] recall 0.9864077669902913 [1,1,1,0.966102,0.958115,1] recall 0.9902912621359223 [1,1,0.992908,0.983051,0.968586,1] recall 0.9873663751214772 [1,1,1,0.971751,0.958115,1] relative_absolute_error 0.0093434556369463 relative_absolute_error 0.016351047364656025 relative_absolute_error 0.015183115410037737 relative_absolute_error 0.012846523511217733 relative_absolute_error 0.017518339999161477 relative_absolute_error 0.005839446666387161 relative_absolute_error 0.01635086204981591 relative_absolute_error 0.01635110110674538 relative_absolute_error 0.01167935793338956 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 0.06731080401072013 root_mean_squared_error 0.0648623137199123 root_mean_squared_error 0.05966465075873496 root_mean_squared_error 0.06967330142916175 root_mean_squared_error 0.040225899335456484 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.05688801239885743 root_mean_squared_error 0.06489382322564255 root_relative_squared_error 0.13670081532288822 root_relative_squared_error 0.18083818068206495 root_relative_squared_error 0.17426003121386263 root_relative_squared_error 0.16028683163316704 root_relative_squared_error 0.18717846955199335 root_relative_squared_error 0.10806753978234557 root_relative_squared_error 0.18083613113933633 root_relative_squared_error 0.18083877506249124 root_relative_squared_error 0.15283666016395767 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 17473.51671900833 usercpu_time_millis 17752.796206012135 usercpu_time_millis 17596.169741998892 usercpu_time_millis 17559.35174098704 usercpu_time_millis 17536.787139993976 usercpu_time_millis 17598.298241995508 usercpu_time_millis 17706.048191990703 usercpu_time_millis 17410.732246004045 usercpu_time_millis 17039.90958900249 usercpu_time_millis 17163.324749009917 usercpu_time_millis_testing 2021.6566690069158 usercpu_time_millis_testing 2120.4068470105994 usercpu_time_millis_testing 2132.618856005138 usercpu_time_millis_testing 2084.816424991004 usercpu_time_millis_testing 2190.3948429971933 usercpu_time_millis_testing 2208.9264239912154 usercpu_time_millis_testing 2134.7139489953406 usercpu_time_millis_testing 2120.456345001003 usercpu_time_millis_testing 2045.6810470059281 usercpu_time_millis_testing 2110.313537006732 usercpu_time_millis_training 15451.860050001414 usercpu_time_millis_training 15632.389359001536 usercpu_time_millis_training 15463.550885993754 usercpu_time_millis_training 15474.535315996036 usercpu_time_millis_training 15346.392296996783 usercpu_time_millis_training 15389.371818004292 usercpu_time_millis_training 15571.334242995363 usercpu_time_millis_training 15290.275901003042 usercpu_time_millis_training 14994.228541996563 usercpu_time_millis_training 15053.011212003184 wall_clock_time_millis 19115.085124969482 wall_clock_time_millis 19431.907653808594 wall_clock_time_millis 17645.585775375366 wall_clock_time_millis 17560.84442138672 wall_clock_time_millis 17538.087368011475 wall_clock_time_millis 17599.878311157227 wall_clock_time_millis 17727.445602416992 wall_clock_time_millis 19170.237064361572 wall_clock_time_millis 18360.116004943848 wall_clock_time_millis 17644.588708877563 wall_clock_time_millis_testing 2053.9960861206055 wall_clock_time_millis_testing 2384.6700191497803 wall_clock_time_millis_testing 2132.817029953003 wall_clock_time_millis_testing 2085.106372833252 wall_clock_time_millis_testing 2190.5715465545654 wall_clock_time_millis_testing 2209.2418670654297 wall_clock_time_millis_testing 2134.8836421966553 wall_clock_time_millis_testing 2257.8845024108887 wall_clock_time_millis_testing 2077.892780303955 wall_clock_time_millis_testing 2190.472364425659 wall_clock_time_millis_training 17061.089038848877 wall_clock_time_millis_training 17047.237634658813 wall_clock_time_millis_training 15512.768745422363 wall_clock_time_millis_training 15475.738048553467 wall_clock_time_millis_training 15347.51582145691 wall_clock_time_millis_training 15390.636444091797 wall_clock_time_millis_training 15592.561960220337 wall_clock_time_millis_training 16912.352561950684 wall_clock_time_millis_training 16282.223224639893 wall_clock_time_millis_training 15454.116344451904