10328870 8323 Heinrich Peters 37 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184494 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 32.184662024224764 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8359658612498964 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.11650886331310951 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 49192 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. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21579428 description https://api.openml.org/data/download/21579428/description.xml -1 21579429 predictions https://api.openml.org/data/download/21579429/predictions.arff area_under_roc_curve 0.7037910447761194 [0.703791,0.703791] average_cost 0 f_measure 0.7463442712182253 [0.822976,0.603376] kappa 0.43069837865118926 kb_relative_information_score 0.4393165333406315 mean_absolute_error 0.24479166666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7484750918471939 [0.77758,0.694175] predictive_accuracy 0.7552083333333333 prior_entropy 0.9331348051619819 recall 0.7552083333333334 [0.874,0.533582] relative_absolute_error 0.5386057864031454 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4947642536265799 root_relative_squared_error 1.0380230283310865 total_cost 0 area_under_roc_curve 0.7933333333333333 [0.793333,0.793333] area_under_roc_curve 0.5851851851851851 [0.585185,0.585185] area_under_roc_curve 0.7177777777777776 [0.717778,0.717778] area_under_roc_curve 0.6166666666666667 [0.616667,0.616667] area_under_roc_curve 0.7077777777777777 [0.707778,0.707778] area_under_roc_curve 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.7277777777777777 [0.727778,0.727778] area_under_roc_curve 0.7107407407407407 [0.710741,0.710741] area_under_roc_curve 0.6599999999999999 [0.66,0.66] area_under_roc_curve 0.7084615384615386 [0.708462,0.708462] 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 0.8265747857584592 [0.87619,0.734694] f_measure 0.6347083022366379 [0.747664,0.425532] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.6711255504693882 [0.79646,0.439024] f_measure 0.7465323791854402 [0.819048,0.612245] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.7619210875024829 [0.846847,0.604651] f_measure 0.704031713900135 [0.788462,0.541667] f_measure 0.7459877154745392 [0.815534,0.612245] kappa 0.6127659574468087 kappa 0.18117369042930287 kappa 0.459016393442623 kappa 0.26239067055393583 kappa 0.4340425531914895 kappa 0.6260739633918567 kappa 0.48444269397400563 kappa 0.4650592562321211 kappa 0.3322683706070287 kappa 0.42879746835443044 kb_relative_information_score 0.6139280939002144 kb_relative_information_score 0.19815834886967557 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.33257675409423476 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.2894736842105263 mean_absolute_error 0.25 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8299881936245572 [0.836364,0.818182] precision 0.6310093415356572 [0.701754,0.5] precision 0.7606679035250463 [0.785714,0.714286] precision 0.6892393320964749 [0.714286,0.642857] precision 0.7467532467532467 [0.781818,0.681818] precision 0.8299543593661242 [0.862745,0.769231] precision 0.7756322624743677 [0.789474,0.75] precision 0.7852219501809666 [0.770492,0.8125] precision 0.7016657806131491 [0.759259,0.590909] precision 0.7444626743232158 [0.792453,0.652174] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7105263157894737 predictive_accuracy 0.75 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 recall 0.8311688311688312 [0.92,0.666667] recall 0.6493506493506493 [0.8,0.37037] recall 0.7662337662337663 [0.88,0.555556] recall 0.7012987012987013 [0.9,0.333333] recall 0.7532467532467533 [0.86,0.555556] recall 0.8311688311688312 [0.88,0.740741] recall 0.7792207792207793 [0.9,0.555556] recall 0.7792207792207793 [0.94,0.481481] recall 0.7105263157894737 [0.82,0.5] recall 0.75 [0.84,0.576923] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.6398247469406244 relative_absolute_error 0.5525759178123575 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.5380275868489703 root_mean_squared_error 0.5 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.133954995096847 root_relative_squared_error 1.0538074838671416 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 87.68068499921355 usercpu_time_millis 100.59194000496063 usercpu_time_millis 144.7952749877004 usercpu_time_millis 134.80903301388025 usercpu_time_millis 231.68079101014882 usercpu_time_millis 115.00742699718103 usercpu_time_millis 130.42856499669142 usercpu_time_millis 95.32611598842777 usercpu_time_millis 124.95385999500286 usercpu_time_millis 129.53654098964762 usercpu_time_millis_testing 1.4870629966026172 usercpu_time_millis_testing 1.476756006013602 usercpu_time_millis_testing 1.444888999685645 usercpu_time_millis_testing 1.441985004930757 usercpu_time_millis_testing 1.4929980097804219 usercpu_time_millis_testing 1.4900130045134574 usercpu_time_millis_testing 1.4659419975942 usercpu_time_millis_testing 1.5216969914035872 usercpu_time_millis_testing 1.4771309943171218 usercpu_time_millis_testing 1.4040359965292737 usercpu_time_millis_training 86.19362200261094 usercpu_time_millis_training 99.11518399894703 usercpu_time_millis_training 143.35038598801475 usercpu_time_millis_training 133.3670480089495 usercpu_time_millis_training 230.1877930003684 usercpu_time_millis_training 113.51741399266757 usercpu_time_millis_training 128.96262299909722 usercpu_time_millis_training 93.80441899702419 usercpu_time_millis_training 123.47672900068574 usercpu_time_millis_training 128.13250499311835 wall_clock_time_millis 95.7033634185791 wall_clock_time_millis 100.7683277130127 wall_clock_time_millis 144.85621452331543 wall_clock_time_millis 134.86051559448242 wall_clock_time_millis 231.70804977416992 wall_clock_time_millis 115.10491371154785 wall_clock_time_millis 138.50164413452148 wall_clock_time_millis 95.37434577941895 wall_clock_time_millis 124.98879432678223 wall_clock_time_millis 129.61292266845703 wall_clock_time_millis_testing 1.4948844909667969 wall_clock_time_millis_testing 1.4843940734863281 wall_clock_time_millis_testing 1.4529228210449219 wall_clock_time_millis_testing 1.4503002166748047 wall_clock_time_millis_testing 1.4979839324951172 wall_clock_time_millis_testing 1.4955997467041016 wall_clock_time_millis_testing 1.4812946319580078 wall_clock_time_millis_testing 1.527547836303711 wall_clock_time_millis_testing 1.4827251434326172 wall_clock_time_millis_testing 1.4083385467529297 wall_clock_time_millis_training 94.2084789276123 wall_clock_time_millis_training 99.28393363952637 wall_clock_time_millis_training 143.4032917022705 wall_clock_time_millis_training 133.41021537780762 wall_clock_time_millis_training 230.2100658416748 wall_clock_time_millis_training 113.60931396484375 wall_clock_time_millis_training 137.02034950256348 wall_clock_time_millis_training 93.84679794311523 wall_clock_time_millis_training 123.50606918334961 wall_clock_time_millis_training 128.2045841217041