10326829 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) 8182499 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 11359.242791856965 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0016376271890052845 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 33122 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 21575344 description https://api.openml.org/data/download/21575344/description.xml -1 21575345 predictions https://api.openml.org/data/download/21575345/predictions.arff area_under_roc_curve 0.9940022432440987 [0.99878,0.998857,0.999251,0.985694,0.984095,0.999426] average_cost 0 f_measure 0.99009562770069 [0.998547,0.998057,0.997161,0.974201,0.976303,0.999228] kappa 0.9880865767411113 kb_relative_information_score 0.9893310776776957 mean_absolute_error 0.0033012913875133474 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9901053596905233 [0.999418,0.998057,0.995042,0.970933,0.979915,0.999485] predictive_accuracy 0.9900961258374599 prior_entropy 2.575922879508845 recall 0.99009612583746 [0.997677,0.998057,0.999289,0.97749,0.972718,0.998971] relative_absolute_error 0.011913951192527455 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.05745686545151369 root_relative_squared_error 0.15436300266304553 total_cost 0 area_under_roc_curve 0.9964766506571581 [1,0.996774,0.999438,0.990399,0.992977,1] area_under_roc_curve 0.992377762533022 [0.997093,1,0.999438,0.988513,0.97263,1] area_under_roc_curve 0.9934991354563616 [1,1,1,0.982434,0.981313,1] area_under_roc_curve 0.9935271075270521 [0.997093,1,0.999438,0.983021,0.983866,1] area_under_roc_curve 0.993613686145141 [0.99711,0.998288,0.995329,0.987003,0.990915,0.994247] area_under_roc_curve 0.9970489604292423 [1,1,1,0.992621,0.990915,1] area_under_roc_curve 0.9941264494996335 [0.999417,0.993506,0.999438,0.986417,0.987093,1] area_under_roc_curve 0.99172520180475 [1,1,1,0.976123,0.977504,1] area_under_roc_curve 0.9946951585024878 [1,1,1,0.988008,0.982505,1] area_under_roc_curve 0.9929331499870627 [0.997093,1,0.999438,0.982355,0.98131,1] 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 0.9941744139787144 [1,0.996764,0.996441,0.985915,0.986945,1] f_measure 0.9873823762323903 [0.997085,1,0.996441,0.967033,0.967914,1] f_measure 0.9893213305504146 [1,1,1,0.969188,0.971129,1] f_measure 0.9893206884063154 [0.997085,1,0.996466,0.97191,0.973684,1] f_measure 0.9893184360207575 [0.997101,0.990354,0.989399,0.980282,0.986807,0.992248] f_measure 0.9951460257233514 [1,1,1,0.985994,0.986807,1] f_measure 0.9902880389437886 [0.997101,0.993464,0.996466,0.977528,0.978947,1] f_measure 0.9864077669902913 [1,1,1,0.960452,0.963351,1] f_measure 0.9912642670614369 [1,1,1,0.97479,0.976253,1] f_measure 0.9883395324545108 [0.997085,1,0.996441,0.969014,0.971129,1] kappa 0.992992339197997 kappa 0.9848190416155532 kappa 0.98715278210869 kappa 0.9871545008565555 kappa 0.9871554474280285 kappa 0.9941607726374939 kappa 0.9883207374944013 kappa 0.9836486431322033 kappa 0.9894889140358716 kappa 0.9859706050773049 kb_relative_information_score 0.9936470399254995 kb_relative_information_score 0.986524248017016 kb_relative_information_score 0.9885355918039277 kb_relative_information_score 0.9884941060491292 kb_relative_information_score 0.9884058587606984 kb_relative_information_score 0.9947975837589403 kb_relative_information_score 0.9894114495028241 kb_relative_information_score 0.9853900029122845 kb_relative_information_score 0.9906525556100755 kb_relative_information_score 0.9874499665049815 mean_absolute_error 0.0019417475728155337 mean_absolute_error 0.004207119741100323 mean_absolute_error 0.0035598705501618125 mean_absolute_error 0.0035598705501618125 mean_absolute_error 0.0035598705501618125 mean_absolute_error 0.0016181229773462782 mean_absolute_error 0.003236245954692557 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.002912621359223301 mean_absolute_error 0.003887269193391642 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 0.9941858424888866 [1,1,0.992908,0.988701,0.984375,1] precision 0.9877182213897807 [1,1,0.992908,0.946237,0.989071,1] precision 0.9893273822947564 [1,1,1,0.96648,0.973684,1] precision 0.9893272254888554 [1,1,0.992958,0.97191,0.973684,1] precision 0.9893579580946913 [1,0.980892,0.985915,0.983051,0.989418,0.994819] precision 0.9951516288989848 [1,1,1,0.98324,0.989418,1] precision 0.9903037112624679 [0.99422,1,0.992958,0.977528,0.978947,1] precision 0.9864077669902913 [1,1,1,0.960452,0.963351,1] precision 0.9913127453005577 [1,1,1,0.966667,0.984043,1] precision 0.988352268488121 [1,1,0.992908,0.966292,0.973684,1] predictive_accuracy 0.9941747572815534 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9951456310679612 predictive_accuracy 0.9902912621359223 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9912621359223301 predictive_accuracy 0.9883381924198251 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 0.9941747572815534 [1,0.993548,1,0.983146,0.989529,1] recall 0.987378640776699 [0.994186,1,1,0.988764,0.947644,1] recall 0.9893203883495145 [1,1,1,0.97191,0.968586,1] recall 0.9893203883495145 [0.994186,1,1,0.97191,0.973684,1] recall 0.9893203883495145 [0.99422,1,0.992908,0.977528,0.984211,0.989691] recall 0.9951456310679612 [1,1,1,0.988764,0.984211,1] recall 0.9902912621359223 [1,0.987013,1,0.977528,0.978947,1] recall 0.9864077669902913 [1,1,1,0.960452,0.963351,1] recall 0.9912621359223301 [1,1,1,0.983051,0.968586,1] recall 0.9883381924198251 [0.994186,1,1,0.971751,0.968586,1] relative_absolute_error 0.007007591727709725 relative_absolute_error 0.015183115410037737 relative_absolute_error 0.012847251500801167 relative_absolute_error 0.012846523511217733 relative_absolute_error 0.012846782666051753 relative_absolute_error 0.005839446666387161 relative_absolute_error 0.01167918717843994 relative_absolute_error 0.01635110110674538 relative_absolute_error 0.0105114221400506 relative_absolute_error 0.014029377739350696 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 0.04406526492392317 root_mean_squared_error 0.0648623137199123 root_mean_squared_error 0.05966465075873496 root_mean_squared_error 0.05966465075873496 root_mean_squared_error 0.05966465075873496 root_mean_squared_error 0.040225899335456484 root_mean_squared_error 0.05688801239885743 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.05396870722208659 root_mean_squared_error 0.062347968638854966 root_relative_squared_error 0.11838637878766622 root_relative_squared_error 0.17426003121386263 root_relative_squared_error 0.16029591464279677 root_relative_squared_error 0.16028683163316704 root_relative_squared_error 0.1602900650075963 root_relative_squared_error 0.10806753978234557 root_relative_squared_error 0.15283442564105412 root_relative_squared_error 0.18083877506249124 root_relative_squared_error 0.14499358682736893 root_relative_squared_error 0.16751181015874964 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 17068.87645000097 usercpu_time_millis 16801.146137004253 usercpu_time_millis 16945.419318995846 usercpu_time_millis 17036.0906470014 usercpu_time_millis 16927.019834009116 usercpu_time_millis 16828.329577998375 usercpu_time_millis 17083.19917198969 usercpu_time_millis 16487.466534003033 usercpu_time_millis 16507.83248699736 usercpu_time_millis 17159.89120600716 usercpu_time_millis_testing 2469.1233379999176 usercpu_time_millis_testing 2305.8241210019332 usercpu_time_millis_testing 2462.843424997118 usercpu_time_millis_testing 2454.352976004884 usercpu_time_millis_testing 2451.37788100692 usercpu_time_millis_testing 2521.130738998181 usercpu_time_millis_testing 2508.4527519939 usercpu_time_millis_testing 2376.94380999892 usercpu_time_millis_testing 2449.5874179992825 usercpu_time_millis_testing 2399.580290002632 usercpu_time_millis_training 14599.753112001054 usercpu_time_millis_training 14495.32201600232 usercpu_time_millis_training 14482.575893998728 usercpu_time_millis_training 14581.737670996517 usercpu_time_millis_training 14475.641953002196 usercpu_time_millis_training 14307.198839000193 usercpu_time_millis_training 14574.74641999579 usercpu_time_millis_training 14110.522724004113 usercpu_time_millis_training 14058.245068998076 usercpu_time_millis_training 14760.310916004528 wall_clock_time_millis 18939.13245201111 wall_clock_time_millis 18071.646213531494 wall_clock_time_millis 18425.35448074341 wall_clock_time_millis 18426.37062072754 wall_clock_time_millis 18260.59603691101 wall_clock_time_millis 18076.70497894287 wall_clock_time_millis 18098.5689163208 wall_clock_time_millis 17770.57933807373 wall_clock_time_millis 17117.48218536377 wall_clock_time_millis 17871.55246734619 wall_clock_time_millis_testing 2825.4010677337646 wall_clock_time_millis_testing 2625.1649856567383 wall_clock_time_millis_testing 2599.141836166382 wall_clock_time_millis_testing 2753.652811050415 wall_clock_time_millis_testing 2554.6863079071045 wall_clock_time_millis_testing 2629.488706588745 wall_clock_time_millis_testing 2830.073118209839 wall_clock_time_millis_testing 2425.224542617798 wall_clock_time_millis_testing 2500.6186962127686 wall_clock_time_millis_testing 2509.410619735718 wall_clock_time_millis_training 16113.731384277344 wall_clock_time_millis_training 15446.481227874756 wall_clock_time_millis_training 15826.212644577026 wall_clock_time_millis_training 15672.717809677124 wall_clock_time_millis_training 15705.909729003906 wall_clock_time_millis_training 15447.216272354126 wall_clock_time_millis_training 15268.495798110962 wall_clock_time_millis_training 15345.354795455933 wall_clock_time_millis_training 14616.863489151001 wall_clock_time_millis_training 15362.141847610474