10455022 12269 Marc Zöller 3735 Supervised Classification predictive_accuracy 17758 sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._data.Normalizer,step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1) 8266845 n_components 166 17705 priors null 17705 shrinkage null 17705 solver "svd" 17705 store_covariance false 17705 tol 0.0006616547289116118 17705 copy false 17752 norm "l1" 17752 memory null 17758 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}] 17758 verbose false 17758 automl_meta_features openml-python Sklearn_0.22.1. 871 pollen https://www.openml.org/data/download/53405/pollen.arff -1 21834663 description https://api.openml.org/data/download/21834663/description.xml -1 21834664 predictions https://api.openml.org/data/download/21834664/predictions.arff area_under_roc_curve 0.496063781276879 [0.496064,0.496064] average_cost 0 f_measure 0.4993238970767061 [0.508172,0.490476] kappa -0.0010395010395010118 kb_relative_information_score -0.00033346980959746207 mean_absolute_error 0.5001193785459979 mean_prior_absolute_error 0.5 weighted_recall 0.4994802494802495 [0.517152,0.481809] number_of_instances 3848 [1924,1924] precision 0.49947959943221154 [0.499498,0.499461] predictive_accuracy 0.4994802494802495 prior_entropy 1 relative_absolute_error 1.0002387570919957 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5003408678578145 root_relative_squared_error 1.000681735715629 total_cost 0 unweighted_recall 0.4994802494802495 [0.517152,0.481809] area_under_roc_curve 0.49851575993091535 [0.498516,0.498516] area_under_roc_curve 0.5079069516407599 [0.507907,0.507907] area_under_roc_curve 0.5016731433506045 [0.501673,0.501673] area_under_roc_curve 0.488935664939551 [0.488936,0.488936] area_under_roc_curve 0.48189227115716754 [0.481892,0.481892] area_under_roc_curve 0.4473769430051814 [0.447377,0.447377] area_under_roc_curve 0.49230893782383417 [0.492309,0.492309] area_under_roc_curve 0.5636199265975821 [0.56362,0.56362] area_under_roc_curve 0.4819607204861111 [0.481961,0.481961] area_under_roc_curve 0.537841796875 [0.537842,0.537842] 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 0.5038961038961038 [0.503896,0.503896] f_measure 0.4882909751207765 [0.490956,0.48564] f_measure 0.5142791603657473 [0.511749,0.516796] f_measure 0.49059980952193943 [0.502538,0.478723] f_measure 0.49088848216607706 [0.494845,0.486911] f_measure 0.46222881572873814 [0.470588,0.453826] f_measure 0.48811828690744197 [0.498728,0.477454] f_measure 0.5470066210368109 [0.569307,0.52459] f_measure 0.4857201128522384 [0.511166,0.460274] f_measure 0.5207813347802496 [0.525773,0.515789] kappa 0.007798901677168553 kappa -0.023342103487823028 kappa 0.028551766944178294 kappa -0.01805132079544531 kappa -0.018216165159897414 kappa -0.07540448270743662 kappa -0.0234801970177452 kappa 0.09587820876184303 kappa -0.02604166666666663 kappa 0.04166666666666674 kb_relative_information_score -0.00026309465970743724 kb_relative_information_score 0.00047376455841824415 kb_relative_information_score 0.00006517807063213716 kb_relative_information_score -0.0004690081927864581 kb_relative_information_score -0.001549447297638533 kb_relative_information_score -0.005244436515865079 kb_relative_information_score -0.00024797850816170915 kb_relative_information_score 0.002822260706580828 kb_relative_information_score -0.0006645711955488485 kb_relative_information_score 0.0017471792176901426 mean_absolute_error 0.5000930473506494 mean_absolute_error 0.49983295324675303 mean_absolute_error 0.49997888897402626 mean_absolute_error 0.5001602018831165 mean_absolute_error 0.5005527018051948 mean_absolute_error 0.5018695750779216 mean_absolute_error 0.5000817976233761 mean_absolute_error 0.49901039058441526 mean_absolute_error 0.5002250307552082 mean_absolute_error 0.4993875717838539 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 384 [192,192] number_of_instances 384 [192,192] precision 0.503902903012359 [0.502591,0.505208] precision 0.4883295651716705 [0.487179,0.489474] precision 0.5142795456823632 [0.513089,0.515464] precision 0.4909533576308451 [0.490099,0.491803] precision 0.4908943687891057 [0.492308,0.489474] precision 0.4622759296556088 [0.464646,0.459893] precision 0.4882478062478063 [0.49,0.486486] precision 0.548365215434998 [0.545024,0.551724] precision 0.48685039585787465 [0.488152,0.485549] precision 0.5208423795049936 [0.520408,0.521277] predictive_accuracy 0.5038961038961038 predictive_accuracy 0.4883116883116883 predictive_accuracy 0.5142857142857143 predictive_accuracy 0.49090909090909096 predictive_accuracy 0.49090909090909096 predictive_accuracy 0.4623376623376623 predictive_accuracy 0.4883116883116883 predictive_accuracy 0.548051948051948 predictive_accuracy 0.48697916666666663 predictive_accuracy 0.5208333333333334 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 relative_absolute_error 1.0001860947012988 relative_absolute_error 0.9996659064935061 relative_absolute_error 0.9999577779480525 relative_absolute_error 1.000320403766233 relative_absolute_error 1.0011054036103897 relative_absolute_error 1.0037391501558433 relative_absolute_error 1.0001635952467522 relative_absolute_error 0.9980207811688305 relative_absolute_error 1.0004500615104164 relative_absolute_error 0.9987751435677077 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5003262216672832 root_mean_squared_error 0.4999616051499251 root_mean_squared_error 0.5001893638790029 root_mean_squared_error 0.5003862030335914 root_mean_squared_error 0.5008298331129964 root_mean_squared_error 0.502325058686376 root_mean_squared_error 0.5003292797258926 root_mean_squared_error 0.4990774598000096 root_mean_squared_error 0.5004650462954139 root_mean_squared_error 0.49951013133022626 root_relative_squared_error 1.0006524433345665 root_relative_squared_error 0.9999232102998502 root_relative_squared_error 1.0003787277580058 root_relative_squared_error 1.0007724060671828 root_relative_squared_error 1.001659666225993 root_relative_squared_error 1.004650117372752 root_relative_squared_error 1.0006585594517852 root_relative_squared_error 0.9981549196000192 root_relative_squared_error 1.0009300925908278 root_relative_squared_error 0.9990202626604525 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 0.5038995034542315 [0.505208,0.502591] unweighted_recall 0.48832847582037997 [0.494792,0.481865] unweighted_recall 0.5142756908462867 [0.510417,0.518135] unweighted_recall 0.490973121761658 [0.515625,0.466321] unweighted_recall 0.49089216321243523 [0.497409,0.484375] unweighted_recall 0.4623003022452504 [0.476684,0.447917] unweighted_recall 0.4882610103626943 [0.507772,0.46875] unweighted_recall 0.5479274611398963 [0.595855,0.5] unweighted_recall 0.4869791666666667 [0.536458,0.4375] unweighted_recall 0.5208333333333333 [0.53125,0.510417] usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis_testing 125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 8.855342864990234 wall_clock_time_millis 7.805824279785156 wall_clock_time_millis 7.4138641357421875 wall_clock_time_millis 7.3680877685546875 wall_clock_time_millis 3.0908584594726562 wall_clock_time_millis 3.0214786529541016 wall_clock_time_millis 3.1938552856445312 wall_clock_time_millis 2.9821395874023438 wall_clock_time_millis 3.1375885009765625 wall_clock_time_millis 3.0624866485595703 wall_clock_time_millis_testing 0.8602142333984375 wall_clock_time_millis_testing 0.42819976806640625 wall_clock_time_millis_testing 0.42176246643066406 wall_clock_time_millis_testing 0.4305839538574219 wall_clock_time_millis_testing 0.1952648162841797 wall_clock_time_millis_testing 0.19550323486328125 wall_clock_time_millis_testing 0.19860267639160156 wall_clock_time_millis_testing 0.19693374633789062 wall_clock_time_millis_testing 0.1957416534423828 wall_clock_time_millis_testing 0.1964569091796875 wall_clock_time_millis_training 7.995128631591797 wall_clock_time_millis_training 7.37762451171875 wall_clock_time_millis_training 6.992101669311523 wall_clock_time_millis_training 6.937503814697266 wall_clock_time_millis_training 2.8955936431884766 wall_clock_time_millis_training 2.8259754180908203 wall_clock_time_millis_training 2.9952526092529297 wall_clock_time_millis_training 2.785205841064453 wall_clock_time_millis_training 2.9418468475341797 wall_clock_time_millis_training 2.866029739379883 weighted_recall 0.5038961038961038 [0.505208,0.502591] weighted_recall 0.4883116883116883 [0.494792,0.481865] weighted_recall 0.5142857142857142 [0.510417,0.518135] weighted_recall 0.4909090909090909 [0.515625,0.466321] weighted_recall 0.4909090909090909 [0.497409,0.484375] weighted_recall 0.4623376623376623 [0.476684,0.447917] weighted_recall 0.4883116883116883 [0.507772,0.46875] weighted_recall 0.548051948051948 [0.595855,0.5] weighted_recall 0.4869791666666667 [0.536458,0.4375] weighted_recall 0.5208333333333334 [0.53125,0.510417]