10559435 8323 Heinrich Peters 3903 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270341 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 46.788246427351616 17495 cache_size 200 17495 class_weight null 17495 coef0 0.13107843563457378 17495 decision_function_shape "ovr" 17495 degree 1 17495 gamma 0.008203897230265251 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22043835 description https://api.openml.org/data/download/22043835/description.xml -1 22043836 predictions https://api.openml.org/data/download/22043836/predictions.arff area_under_roc_curve 0.7162375267284391 [0.716238,0.716238] average_cost 0 f_measure 0.8557479629783147 [0.944369,0.078652] kappa 0.059173291638221624 kb_relative_information_score -0.03896343509149138 mean_absolute_error 0.17442142816513515 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.8950735764555342 [0.99216,0.04375] number_of_instances 1563 [1403,160] precision 0.8485504530675319 [0.900971,0.388889] predictive_accuracy 0.8950735764555343 prior_entropy 0.47645699262891783 relative_absolute_error 0.947013544985716 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.2959684859054213 root_relative_squared_error 0.9763713150207052 total_cost 0 unweighted_recall 0.51795482893799 [0.99216,0.04375] area_under_roc_curve 0.5301418439716311 [0.530142,0.530142] area_under_roc_curve 0.8271276595744681 [0.827128,0.827128] area_under_roc_curve 0.8395390070921984 [0.839539,0.839539] area_under_roc_curve 0.7607142857142858 [0.760714,0.760714] area_under_roc_curve 0.8040178571428571 [0.804018,0.804018] area_under_roc_curve 0.7029017857142856 [0.702902,0.702902] area_under_roc_curve 0.6598214285714286 [0.659821,0.659821] area_under_roc_curve 0.6651785714285714 [0.665179,0.665179] area_under_roc_curve 0.728125 [0.728125,0.728125] area_under_roc_curve 0.7569196428571429 [0.75692,0.75692] 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 0.8466833944540951 [0.942761,0] f_measure 0.8570623362898231 [0.942373,0.105263] f_measure 0.8599918599918599 [0.945578,0.111111] f_measure 0.8599918599918599 [0.945578,0.111111] f_measure 0.8730845228060965 [0.948805,0.210526] f_measure 0.8457192524989134 [0.942373,0] f_measure 0.8424908424908426 [0.938776,0] f_measure 0.8687741482262029 [0.945205,0.2] kappa -0.012135001896094247 kappa 0 kappa 0.0755109109802567 kappa 0.09037900874635584 kappa 0 kappa 0.09037900874635584 kappa 0.18410041841004185 kappa -0.012213740458014988 kappa -0.023323615160350305 kappa 0.16577540106951896 kb_relative_information_score -0.11806832134477474 kb_relative_information_score 0.07197126949709179 kb_relative_information_score -0.05319686803830799 kb_relative_information_score 0.04601734305653687 kb_relative_information_score -0.003164170474245391 kb_relative_information_score 0.010215405316835326 kb_relative_information_score -0.025727439272792994 kb_relative_information_score -0.11338903236398189 kb_relative_information_score -0.10555416311446987 kb_relative_information_score -0.09877540482615833 mean_absolute_error 0.17483351743652678 mean_absolute_error 0.17011158329503606 mean_absolute_error 0.1807767708806639 mean_absolute_error 0.16739854217997574 mean_absolute_error 0.17059383894482372 mean_absolute_error 0.16855793949420741 mean_absolute_error 0.1715750117442782 mean_absolute_error 0.1850702458258625 mean_absolute_error 0.1772691024117847 mean_absolute_error 0.17801197567462315 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] precision 0.8059774620284175 [0.897436,0] precision 0.8445832299335485 [0.902597,0.333333] precision 0.8613053613053614 [0.902597,0.5] precision 0.8613053613053614 [0.902597,0.5] precision 0.8836936483995308 [0.908497,0.666667] precision 0.80479735318445 [0.896774,0] precision 0.8041958041958042 [0.896104,0] precision 0.8660593792172739 [0.907895,0.5] predictive_accuracy 0.89171974522293 predictive_accuracy 0.8980891719745223 predictive_accuracy 0.89171974522293 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.891025641025641 predictive_accuracy 0.8846153846153847 predictive_accuracy 0.8974358974358974 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 relative_absolute_error 0.9511229802223372 relative_absolute_error 0.9254348848335409 relative_absolute_error 0.9834552527229838 relative_absolute_error 0.9081121697586729 relative_absolute_error 0.925446179006073 relative_absolute_error 0.9144017275823447 relative_absolute_error 0.9307688953703697 relative_absolute_error 1.0039785311511447 relative_absolute_error 0.9616584895301119 relative_absolute_error 0.9656884663852665 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_squared_error 0.3043901405972114 root_mean_squared_error 0.28550654886695614 root_mean_squared_error 0.29575829141259 root_mean_squared_error 0.2795568900053733 root_mean_squared_error 0.29455128889165283 root_mean_squared_error 0.291884188955189 root_mean_squared_error 0.28693644777794974 root_mean_squared_error 0.30727579265985905 root_mean_squared_error 0.3116513796843473 root_mean_squared_error 0.3005895850766936 root_relative_squared_error 1.006140147058457 root_relative_squared_error 0.9437217660846384 root_relative_squared_error 0.9776081782142565 root_relative_squared_error 0.9214474255492396 root_relative_squared_error 0.9708704615944436 root_relative_squared_error 0.9620794338716427 root_relative_squared_error 0.945771184878161 root_relative_squared_error 1.0128116966624823 root_relative_squared_error 1.0272340684341237 root_relative_squared_error 0.9907732887946697 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 unweighted_recall 0.49645390070921985 [0.992908,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5241578014184397 [0.985816,0.0625] unweighted_recall 0.5276785714285714 [0.992857,0.0625] unweighted_recall 0.5 [1,0] unweighted_recall 0.5276785714285714 [0.992857,0.0625] unweighted_recall 0.5589285714285714 [0.992857,0.125] unweighted_recall 0.49642857142857144 [0.992857,0] unweighted_recall 0.4928571428571429 [0.985714,0] unweighted_recall 0.5553571428571429 [0.985714,0.125] usercpu_time_millis 483.9000000000624 usercpu_time_millis 502.37400000003163 usercpu_time_millis 491.90800000002355 usercpu_time_millis 483.51800000000367 usercpu_time_millis 480.542000000014 usercpu_time_millis 485.3259999999864 usercpu_time_millis 468.88400000000274 usercpu_time_millis 489.04000000004544 usercpu_time_millis 486.31799999998293 usercpu_time_millis 485.21600000003673 usercpu_time_millis_testing 5.210000000033688 usercpu_time_millis_testing 7.852000000013959 usercpu_time_millis_testing 4.9640000000295 usercpu_time_millis_testing 5.593999999973676 usercpu_time_millis_testing 5.174000000010892 usercpu_time_millis_testing 5.255999999974392 usercpu_time_millis_testing 6.280000000003838 usercpu_time_millis_testing 5.19200000002229 usercpu_time_millis_testing 5.0979999999754 usercpu_time_millis_testing 5.346000000031381 usercpu_time_millis_training 478.6900000000287 usercpu_time_millis_training 494.52200000001767 usercpu_time_millis_training 486.94399999999405 usercpu_time_millis_training 477.92400000003 usercpu_time_millis_training 475.3680000000031 usercpu_time_millis_training 480.070000000012 usercpu_time_millis_training 462.6039999999989 usercpu_time_millis_training 483.84800000002315 usercpu_time_millis_training 481.22000000000753 usercpu_time_millis_training 479.87000000000535 wall_clock_time_millis 249.6199607849121 wall_clock_time_millis 257.59172439575195 wall_clock_time_millis 265.35511016845703 wall_clock_time_millis 267.7927017211914 wall_clock_time_millis 269.5338726043701 wall_clock_time_millis 263.2322311401367 wall_clock_time_millis 245.16010284423828 wall_clock_time_millis 268.5544490814209 wall_clock_time_millis 267.30847358703613 wall_clock_time_millis 261.7940902709961 wall_clock_time_millis_testing 2.6068687438964844 wall_clock_time_millis_testing 4.378795623779297 wall_clock_time_millis_testing 2.485036849975586 wall_clock_time_millis_testing 3.046751022338867 wall_clock_time_millis_testing 2.610921859741211 wall_clock_time_millis_testing 2.6302337646484375 wall_clock_time_millis_testing 4.1179656982421875 wall_clock_time_millis_testing 2.6082992553710938 wall_clock_time_millis_testing 2.573251724243164 wall_clock_time_millis_testing 2.6879310607910156 wall_clock_time_millis_training 247.01309204101562 wall_clock_time_millis_training 253.21292877197266 wall_clock_time_millis_training 262.87007331848145 wall_clock_time_millis_training 264.74595069885254 wall_clock_time_millis_training 266.9229507446289 wall_clock_time_millis_training 260.6019973754883 wall_clock_time_millis_training 241.0421371459961 wall_clock_time_millis_training 265.9461498260498 wall_clock_time_millis_training 264.73522186279297 wall_clock_time_millis_training 259.1061592102051 weighted_recall 0.89171974522293 [0.992908,0] weighted_recall 0.8980891719745223 [1,0] weighted_recall 0.89171974522293 [0.985816,0.0625] weighted_recall 0.8974358974358975 [0.992857,0.0625] weighted_recall 0.8974358974358975 [1,0] weighted_recall 0.8974358974358975 [0.992857,0.0625] weighted_recall 0.9038461538461539 [0.992857,0.125] weighted_recall 0.8910256410256411 [0.992857,0] weighted_recall 0.8846153846153846 [0.985714,0] weighted_recall 0.8974358974358975 [0.985714,0.125]