10591120 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19163 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1) 8304081 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19163 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19163 verbose false 19163 priors null 19164 var_smoothing 1e-09 19164 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22109836 description https://api.openml.org/data/download/22109836/description.xml -1 22109837 predictions https://api.openml.org/data/download/22109837/predictions.arff area_under_roc_curve 0.5546270124124371 [0.554627,0.554627] average_cost 0 f_measure 0.5156892203590578 [0.784631,0] kappa -0.023048214242901394 kb_relative_information_score -0.014491805805369034 mean_absolute_error 0.44667827429746726 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.6455906821963394 [0.982278,0] number_of_instances 601 [395,206] precision 0.4293069351305624 [0.653199,0] predictive_accuracy 0.6455906821963394 prior_entropy 0.9274381882789376 relative_absolute_error 0.9910405020186284 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.47569650170759353 root_relative_squared_error 1.0022406409600138 total_cost 0 unweighted_recall 0.4911392405063291 [0.982278,0] area_under_roc_curve 0.5357142857142857 [0.535714,0.535714] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0.68375 [0.68375,0.68375] area_under_roc_curve 0.545 [0.545,0.545] area_under_roc_curve 0.72625 [0.72625,0.72625] area_under_roc_curve 0.4554334554334555 [0.455433,0.455433] area_under_roc_curve 0.5494505494505495 [0.549451,0.549451] area_under_roc_curve 0.7582417582417581 [0.758242,0.758242] area_under_roc_curve 0.44566544566544575 [0.445665,0.445665] area_under_roc_curve 0.45421245421245426 [0.454212,0.454212] 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 0.5114754098360657 [0.78,0] f_measure 0.5 [0.75,0] f_measure 0.5252525252525253 [0.787879,0] f_measure 0.5040816326530612 [0.77551,0] kappa -0.03230769230769217 kappa -0.1250000000000002 kappa 0 kappa -0.03278688524590152 kappa 0 kappa 0 kappa 0 kappa 0 kappa -0.03286384976525835 kappa 0 kb_relative_information_score -0.021712978461161825 kb_relative_information_score -0.06997582297161391 kb_relative_information_score 0.030671831608218226 kb_relative_information_score -0.02438696088811341 kb_relative_information_score 0.04164801626005055 kb_relative_information_score -0.04216011862605834 kb_relative_information_score -0.0032094895256568837 kb_relative_information_score 0.0503302007348329 kb_relative_information_score -0.05227814338213173 kb_relative_information_score -0.053166637628428576 mean_absolute_error 0.4490430850346624 mean_absolute_error 0.45691700532873886 mean_absolute_error 0.42837312297345626 mean_absolute_error 0.44825675105495943 mean_absolute_error 0.4270636178917096 mean_absolute_error 0.4580806499592802 mean_absolute_error 0.4450532455955621 mean_absolute_error 0.43094941784212865 mean_absolute_error 0.4609596074122521 mean_absolute_error 0.4620468263696403 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.4262295081967213 [0.65,0] precision 0.4285714285714286 [0.642857,0] precision 0.4406779661016949 [0.661017,0] precision 0.4186440677966102 [0.644068,0] predictive_accuracy 0.639344262295082 predictive_accuracy 0.6 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.65 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.6333333333333333 predictive_accuracy 0.65 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 0.9952489634146765 relative_absolute_error 1.0204479785675158 relative_absolute_error 0.956699974640718 relative_absolute_error 1.0011067440227417 relative_absolute_error 0.9537754132914839 relative_absolute_error 1.011248881293962 relative_absolute_error 0.9824898667183732 relative_absolute_error 0.951354563275868 relative_absolute_error 1.0176044051604898 relative_absolute_error 1.0200045260878376 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.476931875260253 root_mean_squared_error 0.48531388267851666 root_mean_squared_error 0.46302806734835966 root_mean_squared_error 0.47307287720846436 root_mean_squared_error 0.4569530048345607 root_mean_squared_error 0.48565792380954054 root_mean_squared_error 0.4759098960806733 root_mean_squared_error 0.45956765481444933 root_mean_squared_error 0.4883269809026811 root_mean_squared_error 0.490754439719721 root_relative_squared_error 1.0037963672321866 root_relative_squared_error 1.0292769491767144 root_relative_squared_error 0.982012123603747 root_relative_squared_error 1.0033156379207224 root_relative_squared_error 0.9691278397754128 root_relative_squared_error 1.0181147403226256 root_relative_squared_error 0.9976793469453615 root_relative_squared_error 0.9634200959224618 root_relative_squared_error 1.0237100497700111 root_relative_squared_error 1.0287988818099958 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 0.4875 [0.975,0] unweighted_recall 0.45 [0.9,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.4875 [0.975,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.48717948717948717 [0.974359,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 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 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 13.974189758300781 wall_clock_time_millis 12.969255447387695 wall_clock_time_millis 13.995170593261719 wall_clock_time_millis 12.993097305297852 wall_clock_time_millis 15.99264144897461 wall_clock_time_millis 13.993024826049805 wall_clock_time_millis 14.988422393798828 wall_clock_time_millis 14.990806579589844 wall_clock_time_millis 14.992237091064453 wall_clock_time_millis 15.994071960449219 wall_clock_time_millis_testing 3.000497817993164 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 5.020380020141602 wall_clock_time_millis_testing 2.9973983764648438 wall_clock_time_millis_testing 2.9976367950439453 wall_clock_time_millis_testing 3.997325897216797 wall_clock_time_millis_testing 2.9976367950439453 wall_clock_time_millis_testing 4.001140594482422 wall_clock_time_millis_training 10.973691940307617 wall_clock_time_millis_training 10.970354080200195 wall_clock_time_millis_training 10.996341705322266 wall_clock_time_millis_training 10.993242263793945 wall_clock_time_millis_training 10.972261428833008 wall_clock_time_millis_training 10.995626449584961 wall_clock_time_millis_training 11.990785598754883 wall_clock_time_millis_training 10.993480682373047 wall_clock_time_millis_training 11.994600296020508 wall_clock_time_millis_training 11.992931365966797 weighted_recall 0.639344262295082 [0.975,0] weighted_recall 0.6 [0.9,0] weighted_recall 0.6666666666666666 [1,0] weighted_recall 0.65 [0.975,0] weighted_recall 0.6666666666666666 [1,0] weighted_recall 0.65 [1,0] weighted_recall 0.65 [1,0] weighted_recall 0.65 [1,0] weighted_recall 0.6333333333333333 [0.974359,0] weighted_recall 0.65 [1,0]