10328876 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) 8184500 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 0.04763431960619049 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.21633948699433825 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 2.0076472291150194 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 43861 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 21579440 description https://api.openml.org/data/download/21579440/description.xml -1 21579441 predictions https://api.openml.org/data/download/21579441/predictions.arff area_under_roc_curve 0.9903842195651021 [0.998896,0.998857,0.998764,0.974485,0.974927,0.999743] average_cost 0 f_measure 0.9841742743749047 [0.997968,0.998057,0.997866,0.956742,0.960063,0.999743] kappa 0.9809612264932411 kb_relative_information_score 0.9829311620782863 mean_absolute_error 0.005275593099653699 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9841772020986894 [0.997678,0.998057,0.997866,0.955132,0.961579,1] predictive_accuracy 0.984173220701039 prior_entropy 2.575922879508845 recall 0.984173220701039 [0.998258,0.998057,0.997866,0.958357,0.958552,0.999486] relative_absolute_error 0.019038961219431185 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.07263327818330727 root_relative_squared_error 0.19513579144161633 total_cost 0 area_under_roc_curve 0.9946882702652147 [0.997093,0.999429,1,0.984194,0.989167,1] area_under_roc_curve 0.9905802890445573 [1,0.999429,0.996429,0.980087,0.970842,1] area_under_roc_curve 0.987580136153639 [0.999417,0.996774,1,0.963819,0.969884,1] area_under_roc_curve 0.9917413932413378 [0.997093,1,0.999438,0.974594,0.98208,1] area_under_roc_curve 0.9911629594921124 [1,0.999429,1,0.975642,0.975376,1] area_under_roc_curve 0.9894184001647682 [0.99711,0.996753,0.998875,0.972833,0.974185,1] area_under_roc_curve 0.9929115485453514 [0.999417,0.996753,1,0.980212,0.983271,1] area_under_roc_curve 0.9858376097244872 [0.999417,1,0.996454,0.964131,0.960009,1] area_under_roc_curve 0.9899764834762537 [1,1,1,0.976603,0.970246,0.997436] area_under_roc_curve 0.9899484640577495 [0.999417,1,0.996429,0.972706,0.974284,1] 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 0.9912605674314283 [0.997085,0.996785,1,0.977401,0.979167,1] f_measure 0.9844701206045327 [1,0.996785,0.996416,0.958449,0.960212,1] f_measure 0.979607201272405 [0.997101,0.996764,1,0.943503,0.947917,1] f_measure 0.9864038661198289 [0.997085,1,0.996466,0.963173,0.966057,1] f_measure 0.9854229024167976 [1,0.996764,1,0.957983,0.962963,1] f_measure 0.9825281206928773 [0.997101,0.996743,0.992958,0.955056,0.957895,1] f_measure 0.9883483139307367 [0.997101,0.996743,1,0.969014,0.971129,1] f_measure 0.9767041549006282 [0.997101,1,0.996441,0.935574,0.939314,1] f_measure 0.9835266436596256 [1,1,1,0.952646,0.957672,0.997429] f_measure 0.9834787727508911 [0.997101,1,0.996416,0.954802,0.958115,1] kappa 0.9894883776836104 kappa 0.981313921581967 kappa 0.9754719356078775 kappa 0.9836505155983379 kappa 0.9824830329182928 kappa 0.9789795680040452 kappa 0.9859844876853994 kappa 0.9719694521456637 kappa 0.9801464468829583 kappa 0.9801232623620286 kb_relative_information_score 0.9905495525476685 kb_relative_information_score 0.9832583214087154 kb_relative_information_score 0.9779785404500448 kb_relative_information_score 0.9853192142017868 kb_relative_information_score 0.9843629566451267 kb_relative_information_score 0.9811125720811127 kb_relative_information_score 0.987386106124894 kb_relative_information_score 0.9748799884289246 kb_relative_information_score 0.982342046465662 kb_relative_information_score 0.9821209319445359 mean_absolute_error 0.002912621359223301 mean_absolute_error 0.00517799352750809 mean_absolute_error 0.006796116504854366 mean_absolute_error 0.004530744336569578 mean_absolute_error 0.004854368932038834 mean_absolute_error 0.0058252427184466 mean_absolute_error 0.003883495145631068 mean_absolute_error 0.007766990291262132 mean_absolute_error 0.005501618122977345 mean_absolute_error 0.005506964690638158 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 0.9912855658435165 [1,0.99359,1,0.982955,0.974093,1] precision 0.9846070152407531 [1,0.99359,1,0.945355,0.973118,1] precision 0.9796286381134504 [0.99422,1,1,0.948864,0.943005,1] precision 0.9864521167955467 [1,1,0.992958,0.971429,0.958549,1] precision 0.9854245772457276 [1,0.993548,1,0.955307,0.968085,1] precision 0.9825514291533709 [1,1,0.986014,0.955056,0.957895,1] precision 0.9883581993901123 [0.99422,1,1,0.971751,0.968586,1] precision 0.9767600704324294 [0.99422,1,1,0.927778,0.946809,1] precision 0.9836639374332121 [1,1,1,0.93956,0.967914,1] precision 0.9834847233691164 [0.99422,1,1,0.954802,0.958115,1] predictive_accuracy 0.9912621359223301 predictive_accuracy 0.9844660194174757 predictive_accuracy 0.9796116504854369 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9854368932038835 predictive_accuracy 0.9825242718446602 predictive_accuracy 0.9883495145631067 predictive_accuracy 0.9766990291262135 predictive_accuracy 0.983495145631068 predictive_accuracy 0.9834791059280854 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 0.9912621359223301 [0.994186,1,1,0.97191,0.984293,1] recall 0.9844660194174757 [1,1,0.992857,0.97191,0.947644,1] recall 0.9796116504854369 [1,0.993548,1,0.938202,0.95288,1] recall 0.9864077669902913 [0.994186,1,1,0.955056,0.973684,1] recall 0.9854368932038835 [1,1,1,0.960674,0.957895,1] recall 0.9825242718446602 [0.99422,0.993506,1,0.955056,0.957895,1] recall 0.9883495145631068 [1,0.993506,1,0.966292,0.973684,1] recall 0.9766990291262136 [1,1,0.992908,0.943503,0.931937,1] recall 0.983495145631068 [1,1,1,0.966102,0.947644,0.994872] recall 0.9834791059280855 [1,1,0.992857,0.954802,0.958115,1] relative_absolute_error 0.01051138759156459 relative_absolute_error 0.0186869112738926 relative_absolute_error 0.02452657104698403 relative_absolute_error 0.016350120832458927 relative_absolute_error 0.017518339999161477 relative_absolute_error 0.021022007998993772 relative_absolute_error 0.014015024614127927 relative_absolute_error 0.02803045904013493 relative_absolute_error 0.019854908486762246 relative_absolute_error 0.019874951797413484 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 0.05396870722208659 root_mean_squared_error 0.07195827629611544 root_mean_squared_error 0.08243856200137388 root_mean_squared_error 0.06731080401072013 root_mean_squared_error 0.06967330142916175 root_mean_squared_error 0.07632327769721764 root_mean_squared_error 0.062317695284975584 root_mean_squared_error 0.08813052984784632 root_mean_squared_error 0.07417289345156589 root_mean_squared_error 0.0742089259499028 root_relative_squared_error 0.14499311026281625 root_relative_squared_error 0.19332414701708828 root_relative_squared_error 0.22148063434214457 root_relative_squared_error 0.18082793366522598 root_relative_squared_error 0.18717846955199335 root_relative_squared_error 0.20504374010584134 root_relative_squared_error 0.16742172497390262 root_relative_squared_error 0.23677353580198815 root_relative_squared_error 0.1992746245088025 root_relative_squared_error 0.19937893386406125 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 8386.17939800315 usercpu_time_millis 8117.121240997221 usercpu_time_millis 7976.325093986816 usercpu_time_millis 8225.306427004398 usercpu_time_millis 8195.569853007328 usercpu_time_millis 8251.1714840075 usercpu_time_millis 8153.294739982812 usercpu_time_millis 8029.935367012513 usercpu_time_millis 8116.044774011243 usercpu_time_millis 8157.275891993777 usercpu_time_millis_testing 969.930587001727 usercpu_time_millis_testing 956.4180720044533 usercpu_time_millis_testing 936.5807699941797 usercpu_time_millis_testing 971.473222001805 usercpu_time_millis_testing 927.1977110038279 usercpu_time_millis_testing 955.1501820096746 usercpu_time_millis_testing 963.0913699947996 usercpu_time_millis_testing 950.7972900028108 usercpu_time_millis_testing 928.6984400096117 usercpu_time_millis_testing 940.7107809965964 usercpu_time_millis_training 7416.248811001424 usercpu_time_millis_training 7160.703168992768 usercpu_time_millis_training 7039.744323992636 usercpu_time_millis_training 7253.833205002593 usercpu_time_millis_training 7268.3721420035 usercpu_time_millis_training 7296.0213019978255 usercpu_time_millis_training 7190.203369988012 usercpu_time_millis_training 7079.138077009702 usercpu_time_millis_training 7187.3463340016315 usercpu_time_millis_training 7216.56511099718 wall_clock_time_millis 8672.731399536133 wall_clock_time_millis 8952.029705047607 wall_clock_time_millis 8689.211130142212 wall_clock_time_millis 9173.478603363037 wall_clock_time_millis 8980.324745178223 wall_clock_time_millis 9249.597311019897 wall_clock_time_millis 8537.908554077148 wall_clock_time_millis 8590.335130691528 wall_clock_time_millis 8684.29684638977 wall_clock_time_millis 8431.402444839478 wall_clock_time_millis_testing 1002.0616054534912 wall_clock_time_millis_testing 1052.5481700897217 wall_clock_time_millis_testing 964.7781848907471 wall_clock_time_millis_testing 1267.5011157989502 wall_clock_time_millis_testing 927.2735118865967 wall_clock_time_millis_testing 999.3493556976318 wall_clock_time_millis_testing 963.1860256195068 wall_clock_time_millis_testing 1014.8866176605225 wall_clock_time_millis_testing 928.8392066955566 wall_clock_time_millis_testing 1020.8518505096436 wall_clock_time_millis_training 7670.669794082642 wall_clock_time_millis_training 7899.481534957886 wall_clock_time_millis_training 7724.432945251465 wall_clock_time_millis_training 7905.977487564087 wall_clock_time_millis_training 8053.051233291626 wall_clock_time_millis_training 8250.247955322266 wall_clock_time_millis_training 7574.722528457642 wall_clock_time_millis_training 7575.448513031006 wall_clock_time_millis_training 7755.457639694214 wall_clock_time_millis_training 7410.550594329834