10435770 8323 Heinrich Peters 9985 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8255667 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 352.1682632247339 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.06806222923892684 13389 kernel "rbf" 13389 max_iter -1 13389 probability true 13389 random_state 1 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. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21794452 description https://api.openml.org/data/download/21794452/description.xml -1 21794453 predictions https://api.openml.org/data/download/21794453/predictions.arff area_under_roc_curve 0.8266764814051334 [0.773565,0.783197,0.820477,0.774083,0.811544,0.875815] average_cost 0 f_measure 0.5487518106781647 [0.474826,0.268833,0.412747,0.371075,0.348008,0.765341] kappa 0.40474996066863217 kb_relative_information_score 0.29020895866209684 mean_absolute_error 0.2058286589443757 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5787839163125205 [0.502296,0.187243,0.363636,0.316045,0.266026,0.888802] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5534740891577875 [0.450206,0.47644,0.477193,0.449309,0.50303,0.671995] predictive_accuracy 0.5787839163125205 prior_entropy 2.3000072984859514 relative_absolute_error 0.8208043741557163 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.31128025386881447 root_relative_squared_error 0.8791366753239112 total_cost 0 unweighted_recall 0.42067462456830623 [0.502296,0.187243,0.363636,0.316045,0.266026,0.888802] area_under_roc_curve 0.825250531355515 [0.766529,0.750887,0.806239,0.793739,0.817793,0.879159] area_under_roc_curve 0.8469873558698672 [0.793669,0.822178,0.85023,0.802097,0.824009,0.890086] area_under_roc_curve 0.8185781882573061 [0.762676,0.772502,0.80221,0.761613,0.786755,0.877635] area_under_roc_curve 0.8152272107210631 [0.749932,0.745387,0.82905,0.7739,0.806525,0.864656] area_under_roc_curve 0.8266103091835016 [0.747415,0.765759,0.815382,0.801906,0.835674,0.879261] area_under_roc_curve 0.8163694141939766 [0.762362,0.759524,0.805177,0.792727,0.77,0.870693] area_under_roc_curve 0.8141121007427733 [0.794162,0.783612,0.807225,0.785616,0.773211,0.847399] area_under_roc_curve 0.8324787928069791 [0.776552,0.775583,0.842731,0.790039,0.848035,0.870523] area_under_roc_curve 0.8345719416642566 [0.783572,0.812574,0.826891,0.733458,0.829044,0.888094] area_under_roc_curve 0.8425559970031903 [0.80861,0.850337,0.826765,0.715231,0.82447,0.894905] 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 0.5582789564397257 [0.495495,0.257143,0.381679,0.36036,0.368932,0.787053] f_measure 0.5672679265149987 [0.481013,0.166667,0.470588,0.396226,0.46,0.776068] f_measure 0.5351553258794859 [0.418182,0.366197,0.451128,0.319149,0.26,0.762376] f_measure 0.5482958769777585 [0.46696,0.311688,0.453125,0.26,0.412371,0.759664] f_measure 0.5520175214039639 [0.45,0.272727,0.393939,0.427184,0.384615,0.766839] f_measure 0.5529404592838009 [0.464286,0.242424,0.382979,0.436975,0.408163,0.763889] f_measure 0.5259567204510551 [0.532787,0.285714,0.3125,0.438095,0.155844,0.743333] f_measure 0.5509254991549264 [0.459574,0.15625,0.48,0.384615,0.395833,0.763333] f_measure 0.5243283778604103 [0.454148,0.294118,0.379562,0.329897,0.202247,0.76412] f_measure 0.5631863289257638 [0.522124,0.307692,0.425197,0.339286,0.377778,0.767442] kappa 0.41934830626380515 kappa 0.43220950148742454 kappa 0.3861398176291793 kappa 0.402102531411608 kappa 0.40720517893272395 kappa 0.40988440274752885 kappa 0.3839409847523684 kappa 0.4078093575683983 kappa 0.3754486335984133 kappa 0.4226229033462632 kb_relative_information_score 0.28483361412982783 kb_relative_information_score 0.3045357919327308 kb_relative_information_score 0.27911696821069454 kb_relative_information_score 0.2861169926275578 kb_relative_information_score 0.29719190067574136 kb_relative_information_score 0.2823582401076464 kb_relative_information_score 0.28204015531489485 kb_relative_information_score 0.2980062699974373 kb_relative_information_score 0.2904749914927745 kb_relative_information_score 0.2974569091691819 mean_absolute_error 0.20734137088952845 mean_absolute_error 0.20481609137763654 mean_absolute_error 0.20719304544789457 mean_absolute_error 0.2054366982620692 mean_absolute_error 0.20365694031893672 mean_absolute_error 0.2075818168238599 mean_absolute_error 0.20785948509910443 mean_absolute_error 0.20488288151843284 mean_absolute_error 0.2044048315741798 mean_absolute_error 0.20510992721855692 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5539793040085891 [0.486726,0.409091,0.438596,0.408163,0.475,0.697885] precision 0.5752377237863466 [0.445312,0.416667,0.52459,0.477273,0.621622,0.687879] precision 0.5410505550908695 [0.410714,0.590909,0.517241,0.46875,0.351351,0.65812] precision 0.550873301817094 [0.449153,0.428571,0.54717,0.342105,0.571429,0.664706] precision 0.5597995505314706 [0.412214,0.529412,0.45614,0.536585,0.47619,0.685185] precision 0.556403757470566 [0.452174,0.470588,0.409091,0.45614,0.555556,0.685358] precision 0.5341594432376859 [0.481481,0.47619,0.377358,0.534884,0.4,0.646377] precision 0.5579826397803384 [0.428571,0.333333,0.6,0.465116,0.558824,0.665698] precision 0.5247727240899529 [0.433333,0.5,0.419355,0.444444,0.333333,0.66474] precision 0.5797130457470362 [0.504274,0.588235,0.509434,0.372549,0.62963,0.66763] predictive_accuracy 0.5866013071895425 predictive_accuracy 0.5964052287581699 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.576797385620915 predictive_accuracy 0.576797385620915 predictive_accuracy 0.576797385620915 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5613747954173486 predictive_accuracy 0.5941080196399345 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 relative_absolute_error 0.8271323654140206 relative_absolute_error 0.8165352378668337 relative_absolute_error 0.8258348131679525 relative_absolute_error 0.8189693231567368 relative_absolute_error 0.811874353414716 relative_absolute_error 0.827520795758772 relative_absolute_error 0.828627714830987 relative_absolute_error 0.8173228565800231 relative_absolute_error 0.8157148542437871 relative_absolute_error 0.8184925857161892 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.3120499054960045 root_mean_squared_error 0.30688478633901406 root_mean_squared_error 0.31283999269767215 root_mean_squared_error 0.3136132013367015 root_mean_squared_error 0.3109171308573441 root_mean_squared_error 0.313328964326979 root_mean_squared_error 0.31531684597678117 root_mean_squared_error 0.3098410625421468 root_mean_squared_error 0.3100138937107318 root_mean_squared_error 0.30788701725535783 root_relative_squared_error 0.8816255285251837 root_relative_squared_error 0.8664773796209887 root_relative_squared_error 0.8831029163178276 root_relative_squared_error 0.885431484236723 root_relative_squared_error 0.8778196054128425 root_relative_squared_error 0.8846289912411447 root_relative_squared_error 0.8902414239836731 root_relative_squared_error 0.8753827736327706 root_relative_squared_error 0.876192489575225 root_relative_squared_error 0.8701429076872357 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 0.4260727817582888 [0.504587,0.1875,0.337838,0.322581,0.301587,0.902344] unweighted_recall 0.4412923723466566 [0.522936,0.104167,0.426667,0.33871,0.365079,0.890196] unweighted_recall 0.40756651525604265 [0.425926,0.265306,0.4,0.241935,0.206349,0.905882] unweighted_recall 0.4227226220467471 [0.486239,0.244898,0.386667,0.209677,0.322581,0.886275] unweighted_recall 0.4289600950373244 [0.495413,0.183673,0.346667,0.354839,0.322581,0.870588] unweighted_recall 0.4341683513693531 [0.477064,0.163265,0.36,0.419355,0.322581,0.862745] unweighted_recall 0.4015550523257542 [0.59633,0.204082,0.266667,0.370968,0.096774,0.87451] unweighted_recall 0.421050895954245 [0.495413,0.102041,0.4,0.327869,0.306452,0.894531] unweighted_recall 0.38965968207888 [0.477064,0.208333,0.346667,0.262295,0.145161,0.898438] unweighted_recall 0.4330238385908764 [0.541284,0.208333,0.364865,0.311475,0.269841,0.902344] usercpu_time_millis 18200.42011100003 usercpu_time_millis 17923.77846399995 usercpu_time_millis 17791.731775000015 usercpu_time_millis 17823.602265999965 usercpu_time_millis 17728.30628899999 usercpu_time_millis 17739.329051000026 usercpu_time_millis 17665.251654999964 usercpu_time_millis 17686.544206999995 usercpu_time_millis 17727.749843999958 usercpu_time_millis 17902.882370999978 usercpu_time_millis_testing 210.33158200003754 usercpu_time_millis_testing 207.3793619999833 usercpu_time_millis_testing 209.39210099999173 usercpu_time_millis_testing 209.05721499997298 usercpu_time_millis_testing 218.8729459999763 usercpu_time_millis_testing 208.24372499998844 usercpu_time_millis_testing 207.94623699998738 usercpu_time_millis_testing 207.45121700002755 usercpu_time_millis_testing 205.4278929999782 usercpu_time_millis_testing 219.8432769999954 usercpu_time_millis_training 17990.08852899999 usercpu_time_millis_training 17716.399101999967 usercpu_time_millis_training 17582.339674000024 usercpu_time_millis_training 17614.545050999994 usercpu_time_millis_training 17509.43334300001 usercpu_time_millis_training 17531.085326000037 usercpu_time_millis_training 17457.305417999974 usercpu_time_millis_training 17479.09298999997 usercpu_time_millis_training 17522.32195099998 usercpu_time_millis_training 17683.03909399998 wall_clock_time_millis 18200.44183731079 wall_clock_time_millis 17925.915956497192 wall_clock_time_millis 17791.71109199524 wall_clock_time_millis 17825.32238960266 wall_clock_time_millis 17728.348970413208 wall_clock_time_millis 17741.044759750366 wall_clock_time_millis 17665.454626083374 wall_clock_time_millis 17688.962936401367 wall_clock_time_millis 17727.725744247437 wall_clock_time_millis 17905.033349990845 wall_clock_time_millis_testing 210.33453941345215 wall_clock_time_millis_testing 207.3826789855957 wall_clock_time_millis_testing 209.395170211792 wall_clock_time_millis_testing 209.0587615966797 wall_clock_time_millis_testing 218.87803077697754 wall_clock_time_millis_testing 208.24575424194336 wall_clock_time_millis_testing 207.9477310180664 wall_clock_time_millis_testing 207.45277404785156 wall_clock_time_millis_testing 205.4295539855957 wall_clock_time_millis_testing 219.8488712310791 wall_clock_time_millis_training 17990.10729789734 wall_clock_time_millis_training 17718.533277511597 wall_clock_time_millis_training 17582.315921783447 wall_clock_time_millis_training 17616.26362800598 wall_clock_time_millis_training 17509.47093963623 wall_clock_time_millis_training 17532.799005508423 wall_clock_time_millis_training 17457.506895065308 wall_clock_time_millis_training 17481.510162353516 wall_clock_time_millis_training 17522.29619026184 wall_clock_time_millis_training 17685.184478759766 weighted_recall 0.5866013071895425 [0.504587,0.1875,0.337838,0.322581,0.301587,0.902344] weighted_recall 0.5964052287581699 [0.522936,0.104167,0.426667,0.33871,0.365079,0.890196] weighted_recall 0.5686274509803921 [0.425926,0.265306,0.4,0.241935,0.206349,0.905882] weighted_recall 0.576797385620915 [0.486239,0.244898,0.386667,0.209677,0.322581,0.886275] weighted_recall 0.576797385620915 [0.495413,0.183673,0.346667,0.354839,0.322581,0.870588] weighted_recall 0.576797385620915 [0.477064,0.163265,0.36,0.419355,0.322581,0.862745] weighted_recall 0.5669934640522876 [0.59633,0.204082,0.266667,0.370968,0.096774,0.87451] weighted_recall 0.5833333333333334 [0.495413,0.102041,0.4,0.327869,0.306452,0.894531] weighted_recall 0.5613747954173486 [0.477064,0.208333,0.346667,0.262295,0.145161,0.898438] weighted_recall 0.5941080196399345 [0.541284,0.208333,0.364865,0.311475,0.269841,0.902344]