10327818 8323 Heinrich Peters 146817 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183471 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 301.88246415708056 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6014381418687775 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.00024144262223698258 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 46905 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. 40982 steel-plates-fault https://www.openml.org/data/download/18151921/php5s7Ep8 -1 21577322 description https://api.openml.org/data/download/21577322/description.xml -1 21577323 predictions https://api.openml.org/data/download/21577323/predictions.arff area_under_roc_curve 0.8111045442980648 [0.757004,0.742803,0.957743,0.735092,0.739624,0.963405,0.914547] average_cost 0 f_measure 0.7209809463623039 [0.604486,0.586957,0.937984,0.654466,0.576642,0.917808,0.840731] kappa 0.6391583347307711 kb_relative_information_score 0.6785080866997094 mean_absolute_error 0.0796349451681757 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7250746603839785 [0.575281,0.72973,0.947781,0.645022,0.681034,0.905405,0.834197] predictive_accuracy 0.7212776919113858 prior_entropy 2.4106995883230287 recall 0.7212776919113859 [0.636816,0.490909,0.928389,0.66419,0.5,0.930556,0.847368] relative_absolute_error 0.3581612539253109 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.28219664273016376 root_relative_squared_error 0.8465126757142937 total_cost 0 area_under_roc_curve 0.8288316710642687 [0.780567,0.697368,0.956048,0.764459,0.755556,0.9375,0.938846] area_under_roc_curve 0.7961919773557193 [0.710984,0.6,0.977502,0.700082,0.806882,0.997326,0.915338] area_under_roc_curve 0.8093321373493217 [0.748052,0.6,0.974359,0.755952,0.647823,0.997326,0.912481] area_under_roc_curve 0.7844161649634649 [0.757305,0.8,0.9134,0.692577,0.673455,0.928571,0.941654] area_under_roc_curve 0.850605082565938 [0.816558,0.892063,0.97105,0.790033,0.713132,1,0.941654] area_under_roc_curve 0.8314170174043818 [0.794805,0.666667,0.945492,0.757492,0.917837,0.994652,0.854135] area_under_roc_curve 0.7934623206464119 [0.756331,0.916667,0.945409,0.704431,0.653441,0.925898,0.90391] area_under_roc_curve 0.7942971932963185 [0.691558,0.664007,0.983954,0.718122,0.701896,1,0.933083] area_under_roc_curve 0.8134101177974714 [0.756818,0.903369,0.961538,0.730756,0.798455,0.854469,0.889023] area_under_roc_curve 0.8087689007746394 [0.757305,0.666667,0.948718,0.736162,0.727747,0.997312,0.915338] 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 0.7478773981547826 [0.650602,0.5,0.936709,0.690647,0.592593,0.933333,0.871795] f_measure 0.6988852120295419 [0.533333,0.333333,0.95,0.606061,0.714286,0.933333,0.864865] f_measure 0.7185086930291897 [0.6,0.333333,0.973684,0.684564,0.416667,0.933333,0.842105] f_measure 0.692277623671804 [0.609756,0.75,0.88,0.606897,0.444444,0.923077,0.894737] f_measure 0.7693958230225487 [0.681818,0.666667,0.926829,0.728682,0.56,1,0.894737] f_measure 0.740677709490556 [0.658824,0.5,0.933333,0.682171,0.756757,0.875,0.736842] f_measure 0.685375911801654 [0.586957,0.909091,0.9,0.609375,0.454545,0.857143,0.780488] f_measure 0.691118499270864 [0.512821,0.444444,0.974359,0.633094,0.482759,1,0.829268] f_measure 0.7212932115073671 [0.597701,0.625,0.96,0.646154,0.645161,0.769231,0.833333] f_measure 0.7270555387217381 [0.609756,0.5,0.945946,0.657534,0.583333,0.941176,0.864865] kappa 0.6737571701720841 kappa 0.6130407868491643 kappa 0.6396705799894865 kappa 0.5947357426363067 kappa 0.7086888267012491 kappa 0.6712533044126618 kappa 0.6024182805615329 kappa 0.6063690762775982 kappa 0.6378877350166293 kappa 0.6422034311166788 kb_relative_information_score 0.7049315258467773 kb_relative_information_score 0.6602281381648136 kb_relative_information_score 0.6655287904188615 kb_relative_information_score 0.6436627234589715 kb_relative_information_score 0.743225916151531 kb_relative_information_score 0.7084497506656731 kb_relative_information_score 0.6516694976841912 kb_relative_information_score 0.6474508188112148 kb_relative_information_score 0.6819829746365272 kb_relative_information_score 0.6779372319771 mean_absolute_error 0.07179487179487186 mean_absolute_error 0.08541973490427107 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.08836524300441834 mean_absolute_error 0.0648011782032401 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.08836524300441834 mean_absolute_error 0.0868924889543447 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.07805596465390288 mean_prior_absolute_error 0.22235334822603825 mean_prior_absolute_error 0.2222580918309025 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225854545124641 number_of_instances 195 [41,5,40,67,15,8,19] number_of_instances 194 [41,5,39,67,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,15,8,19] precision 0.7510556964403118 [0.642857,0.666667,0.948718,0.666667,0.666667,1,0.85] precision 0.7154946678838522 [0.489796,1,0.926829,0.615385,0.833333,0.875,0.888889] precision 0.73680316914853 [0.6,1,1,0.62963,0.625,0.875,0.842105] precision 0.7017728834739143 [0.595238,1,0.916667,0.571429,0.545455,1,0.894737] precision 0.7791760113588035 [0.625,0.571429,0.883721,0.770492,0.777778,1,0.894737] precision 0.7549745039352622 [0.622222,1,0.972222,0.709677,0.666667,0.777778,0.736842] precision 0.7061892470801072 [0.519231,1,0.878049,0.639344,0.833333,0.857143,0.727273] precision 0.6922385506216218 [0.526316,0.666667,0.974359,0.611111,0.538462,1,0.772727] precision 0.7322630521829261 [0.553191,0.5,1,0.666667,0.666667,0.833333,0.882353] precision 0.7483765527612585 [0.595238,1,1,0.607595,0.777778,0.888889,0.888889] predictive_accuracy 0.7487179487179487 predictive_accuracy 0.7010309278350516 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.6907216494845361 predictive_accuracy 0.7731958762886597 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.6907216494845361 predictive_accuracy 0.6958762886597938 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7268041237113403 prior_entropy 2.4086971702017688 prior_entropy 2.4034011426545026 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4238668101950935 recall 0.7487179487179487 [0.658537,0.4,0.925,0.716418,0.533333,0.875,0.894737] recall 0.7010309278350515 [0.585366,0.2,0.974359,0.597015,0.625,1,0.842105] recall 0.7268041237113402 [0.6,0.2,0.948718,0.75,0.3125,1,0.842105] recall 0.6907216494845361 [0.625,0.6,0.846154,0.647059,0.375,0.857143,0.894737] recall 0.7731958762886598 [0.75,0.8,0.974359,0.691176,0.4375,1,0.894737] recall 0.7422680412371134 [0.7,0.333333,0.897436,0.656716,0.875,1,0.736842] recall 0.6907216494845361 [0.675,0.833333,0.923077,0.58209,0.3125,0.857143,0.842105] recall 0.6958762886597938 [0.5,0.333333,0.974359,0.656716,0.4375,1,0.894737] recall 0.7164948453608248 [0.65,0.833333,0.923077,0.626866,0.625,0.714286,0.789474] recall 0.7268041237113402 [0.625,0.333333,0.897436,0.716418,0.466667,1,0.842105] relative_absolute_error 0.3228863984628969 relative_absolute_error 0.38432677164015144 relative_absolute_error 0.3515191959361001 relative_absolute_error 0.39794625955030194 relative_absolute_error 0.2918272570035547 relative_absolute_error 0.3309255723245655 relative_absolute_error 0.39711068678947853 relative_absolute_error 0.39049217534298725 relative_absolute_error 0.36401812955702206 relative_absolute_error 0.35067864081627126 root_mean_prior_squared_error 0.33337802806616484 root_mean_prior_squared_error 0.3332351320046385 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.33372595925955534 root_mean_squared_error 0.26794565082283356 root_mean_squared_error 0.29226654769964877 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.2972629189865738 root_mean_squared_error 0.25456075542636203 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.2972629189865738 root_mean_squared_error 0.29477531944575125 root_mean_squared_error 0.28460757676852205 root_mean_squared_error 0.27938497571255133 root_relative_squared_error 0.803729185084912 root_relative_squared_error 0.8770580278899901 root_relative_squared_error 0.8391764438930177 root_relative_squared_error 0.8928756409330583 root_relative_squared_error 0.7646130181073219 root_relative_squared_error 0.8133677174476045 root_relative_squared_error 0.8909996927850825 root_relative_squared_error 0.8835434973261889 root_relative_squared_error 0.8530672588750075 root_relative_squared_error 0.8371688445586568 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 244.08855100045912 usercpu_time_millis 240.95222499454394 usercpu_time_millis 239.39511500066146 usercpu_time_millis 250.01527300628368 usercpu_time_millis 252.60405500011984 usercpu_time_millis 240.92227700020885 usercpu_time_millis 238.91430300136562 usercpu_time_millis 247.6163959945552 usercpu_time_millis 239.7552190013812 usercpu_time_millis 239.60523799905786 usercpu_time_millis_testing 21.023747998697218 usercpu_time_millis_testing 20.960174995707348 usercpu_time_millis_testing 20.979794004233554 usercpu_time_millis_testing 20.961969006748404 usercpu_time_millis_testing 21.426147999591194 usercpu_time_millis_testing 21.215097003732808 usercpu_time_millis_testing 20.290852000471205 usercpu_time_millis_testing 20.607523998478428 usercpu_time_millis_testing 20.79210800002329 usercpu_time_millis_testing 20.918597998388577 usercpu_time_millis_training 223.0648030017619 usercpu_time_millis_training 219.9920499988366 usercpu_time_millis_training 218.4153209964279 usercpu_time_millis_training 229.05330399953527 usercpu_time_millis_training 231.17790700052865 usercpu_time_millis_training 219.70717999647604 usercpu_time_millis_training 218.62345100089442 usercpu_time_millis_training 227.00887199607678 usercpu_time_millis_training 218.9631110013579 usercpu_time_millis_training 218.68664000066929 wall_clock_time_millis 244.1234588623047 wall_clock_time_millis 240.98563194274902 wall_clock_time_millis 239.45379257202148 wall_clock_time_millis 250.0476837158203 wall_clock_time_millis 252.6395320892334 wall_clock_time_millis 240.97037315368652 wall_clock_time_millis 238.97171020507812 wall_clock_time_millis 247.64704704284668 wall_clock_time_millis 239.80283737182617 wall_clock_time_millis 239.6395206451416 wall_clock_time_millis_testing 21.037817001342773 wall_clock_time_millis_testing 20.973682403564453 wall_clock_time_millis_testing 20.994901657104492 wall_clock_time_millis_testing 20.975589752197266 wall_clock_time_millis_testing 21.4383602142334 wall_clock_time_millis_testing 21.229028701782227 wall_clock_time_millis_testing 20.302534103393555 wall_clock_time_millis_testing 20.618915557861328 wall_clock_time_millis_testing 20.80512046813965 wall_clock_time_millis_testing 20.932674407958984 wall_clock_time_millis_training 223.0856418609619 wall_clock_time_millis_training 220.01194953918457 wall_clock_time_millis_training 218.458890914917 wall_clock_time_millis_training 229.07209396362305 wall_clock_time_millis_training 231.201171875 wall_clock_time_millis_training 219.7413444519043 wall_clock_time_millis_training 218.66917610168457 wall_clock_time_millis_training 227.02813148498535 wall_clock_time_millis_training 218.99771690368652 wall_clock_time_millis_training 218.70684623718262