10328188 8323 Heinrich Peters 15 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183839 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 128.8207164562269 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6004610405298936 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.05472328813043408 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 33209 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. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 21578062 description https://api.openml.org/data/download/21578062/description.xml -1 21578063 predictions https://api.openml.org/data/download/21578063/predictions.arff area_under_roc_curve 0.9345974741343382 [0.934597,0.934597] average_cost 0 f_measure 0.9413157882181241 [0.955289,0.914761] kappa 0.8700501952035693 kb_relative_information_score 0.8645946866940284 mean_absolute_error 0.058655221745350504 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.941291013305656 [0.954248,0.916667] predictive_accuracy 0.9413447782546496 prior_entropy 0.92931856324281 recall 0.9413447782546495 [0.956332,0.912863] relative_absolute_error 0.12978257433790139 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.2421884013435625 root_relative_squared_error 0.5095526533831183 total_cost 0 area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9365942028985509 [0.936594,0.936594] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.9565217391304348 [0.956522,0.956522] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9166666666666665 [0.916667,0.916667] area_under_roc_curve 0.9148550724637681 [0.914855,0.914855] area_under_roc_curve 0.8888888888888888 [0.888889,0.888889] area_under_roc_curve 0.9347222222222222 [0.934722,0.934722] 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 0.9289078268670106 [0.945055,0.897959] f_measure 0.9428571428571428 [0.956522,0.916667] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9437562437562438 [0.954545,0.923077] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9414502164502165 [0.958333,0.909091] f_measure 0.915047619047619 [0.933333,0.88] f_measure 0.912382714417867 [0.93617,0.869565] f_measure 0.9284181438692417 [0.942529,0.901961] kappa 0.8430493273542602 kappa 0.8731884057971014 kappa 0.9019607843137256 kappa 0.8780487804878049 kappa 0.9365942028985507 kappa 0.9365942028985507 kappa 0.8679245283018867 kappa 0.8134991119005328 kappa 0.8064516129032258 kappa 0.844804318488529 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.8678336604620113 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.8678336604620113 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8678336604620114 kb_relative_information_score 0.801750490693017 kb_relative_information_score 0.8045306945334251 kb_relative_information_score 0.8332228392309347 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.07246376811594203 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9296507936507936 [0.955556,0.88] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9597667638483965 [0.938776,1] precision 0.9510204081632653 [1,0.857143] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9474285714285713 [0.92,1] precision 0.9173826173826175 [0.954545,0.846154] precision 0.9173955296404275 [0.897959,0.952381] precision 0.9329422590292156 [0.97619,0.851852] predictive_accuracy 0.9285714285714286 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.927536231884058 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 recall 0.9285714285714286 [0.934783,0.916667] recall 0.9428571428571428 [0.956522,0.916667] recall 0.9571428571428572 [1,0.875] recall 0.9428571428571428 [0.913043,1] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9428571428571428 [1,0.833333] recall 0.9142857142857143 [0.913043,0.916667] recall 0.9142857142857143 [0.977778,0.8] recall 0.927536231884058 [0.911111,0.958333] relative_absolute_error 0.15825356691349107 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.1899042802961893 relative_absolute_error 0.18806170355466134 relative_absolute_error 0.16000182598374876 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.26919095102908275 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.616786305598795 root_relative_squared_error 0.6108210586351968 root_relative_squared_error 0.5651857117084224 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 13.947512001323048 usercpu_time_millis 13.013417003094219 usercpu_time_millis 13.838835999194998 usercpu_time_millis 13.419682007224765 usercpu_time_millis 13.364666010602377 usercpu_time_millis 13.827009999658912 usercpu_time_millis 13.610714995593298 usercpu_time_millis 12.627293996047229 usercpu_time_millis 13.276887009851635 usercpu_time_millis 13.042553997365758 usercpu_time_millis_testing 1.0409409951535054 usercpu_time_millis_testing 0.9822860010899603 usercpu_time_millis_testing 1.0381399988546036 usercpu_time_millis_testing 1.0226440062979236 usercpu_time_millis_testing 1.0539530048845336 usercpu_time_millis_testing 1.0397169971838593 usercpu_time_millis_testing 0.9428539997315966 usercpu_time_millis_testing 0.9498639992671087 usercpu_time_millis_testing 1.0295650063198991 usercpu_time_millis_testing 0.9810979972826317 usercpu_time_millis_training 12.906571006169543 usercpu_time_millis_training 12.031131002004258 usercpu_time_millis_training 12.800696000340395 usercpu_time_millis_training 12.397038000926841 usercpu_time_millis_training 12.310713005717844 usercpu_time_millis_training 12.787293002475053 usercpu_time_millis_training 12.667860995861702 usercpu_time_millis_training 11.67742999678012 usercpu_time_millis_training 12.247322003531735 usercpu_time_millis_training 12.061456000083126 wall_clock_time_millis 13.97085189819336 wall_clock_time_millis 13.04483413696289 wall_clock_time_millis 13.871908187866211 wall_clock_time_millis 13.441085815429688 wall_clock_time_millis 13.375043869018555 wall_clock_time_millis 13.838529586791992 wall_clock_time_millis 13.618707656860352 wall_clock_time_millis 12.636899948120117 wall_clock_time_millis 13.286352157592773 wall_clock_time_millis 13.051509857177734 wall_clock_time_millis_testing 1.0442733764648438 wall_clock_time_millis_testing 0.9863376617431641 wall_clock_time_millis_testing 1.0519027709960938 wall_clock_time_millis_testing 1.0251998901367188 wall_clock_time_millis_testing 1.0581016540527344 wall_clock_time_millis_testing 1.04522705078125 wall_clock_time_millis_testing 0.9467601776123047 wall_clock_time_millis_testing 0.95367431640625 wall_clock_time_millis_testing 1.0335445404052734 wall_clock_time_millis_testing 0.9853839874267578 wall_clock_time_millis_training 12.926578521728516 wall_clock_time_millis_training 12.058496475219727 wall_clock_time_millis_training 12.820005416870117 wall_clock_time_millis_training 12.415885925292969 wall_clock_time_millis_training 12.31694221496582 wall_clock_time_millis_training 12.793302536010742 wall_clock_time_millis_training 12.671947479248047 wall_clock_time_millis_training 11.683225631713867 wall_clock_time_millis_training 12.2528076171875 wall_clock_time_millis_training 12.066125869750977