10591053 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304411 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 229 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22109702 description https://api.openml.org/data/download/22109702/description.xml -1 22109703 predictions https://api.openml.org/data/download/22109703/predictions.arff area_under_roc_curve 0.8082183728539614 [0.808218,0.808218] average_cost 0 f_measure 0.9409550869128533 [0.460951,0.97045] kappa 0.43180547605186337 kb_relative_information_score -0.04978052265131523 mean_absolute_error 0.07204888766822178 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9439714364185663 [0.413811,0.976548] number_of_instances 32769 [1897,30872] precision 0.9387117231212213 [0.520212,0.964427] predictive_accuracy 0.9439714364185663 prior_entropy 0.3190117574285477 relative_absolute_error 0.6603840646403875 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.21644297215221237 root_relative_squared_error 0.9268098189182957 total_cost 0 unweighted_recall 0.6951798047762434 [0.413811,0.976548] area_under_roc_curve 0.8146983030402719 [0.814698,0.814698] area_under_roc_curve 0.8107686007621241 [0.810769,0.810769] area_under_roc_curve 0.8168456856426781 [0.816846,0.816846] area_under_roc_curve 0.8043024227234754 [0.804302,0.804302] area_under_roc_curve 0.8265936951221593 [0.826594,0.826594] area_under_roc_curve 0.8052367312839923 [0.805237,0.805237] area_under_roc_curve 0.8090506879443508 [0.809051,0.809051] area_under_roc_curve 0.7746918316198659 [0.774692,0.774692] area_under_roc_curve 0.808750618041703 [0.808751,0.808751] area_under_roc_curve 0.8120476207615825 [0.812048,0.812048] 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 0.938444446060378 [0.44058,0.968916] f_measure 0.9442413850507332 [0.48503,0.972347] f_measure 0.9391543680721895 [0.447674,0.969404] f_measure 0.9415488189491786 [0.459215,0.971236] f_measure 0.943637730424765 [0.488372,0.971659] f_measure 0.9392598906812188 [0.443787,0.969755] f_measure 0.9409470228236623 [0.45122,0.971089] f_measure 0.938288903166827 [0.449438,0.968377] f_measure 0.9389763740417608 [0.444444,0.969414] f_measure 0.9450460943695479 [0.5,0.972294] kappa 0.40979584675955627 kappa 0.45788240544460485 kappa 0.41743203389323086 kappa 0.4311133568097205 kappa 0.4603580945537294 kappa 0.4140344269373947 kappa 0.42307240888248954 kappa 0.4179670367510862 kappa 0.4142566045829908 kappa 0.4725793135983015 kb_relative_information_score -0.1214470831460214 kb_relative_information_score -0.011118611805263596 kb_relative_information_score -0.10104149214374267 kb_relative_information_score -0.031427861680882324 kb_relative_information_score -0.008399857048612873 kb_relative_information_score -0.024760685828060684 kb_relative_information_score 0.006090506597164947 kb_relative_information_score -0.10226202890779262 kb_relative_information_score -0.08989271774842107 kb_relative_information_score -0.01352993383242658 mean_absolute_error 0.07643271284711649 mean_absolute_error 0.06997253585596602 mean_absolute_error 0.07360085444003699 mean_absolute_error 0.07096124504119637 mean_absolute_error 0.06974671956057403 mean_absolute_error 0.07119621605126672 mean_absolute_error 0.06961855355508109 mean_absolute_error 0.0746872139151664 mean_absolute_error 0.07364967958498655 mean_absolute_error 0.07062271062271087 mean_prior_absolute_error 0.10891106478653569 mean_prior_absolute_error 0.10891106478653569 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10892663072181365 number_of_instances 3277 [189,3088] number_of_instances 3277 [189,3088] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3276 [189,3087] precision 0.9363050755059197 [0.487179,0.963794] precision 0.9420496038218305 [0.558621,0.965517] precision 0.9369248073420636 [0.5,0.963817] precision 0.9390273413236895 [0.539007,0.963648] precision 0.9416717319663274 [0.545455,0.966058] precision 0.9367798010207072 [0.506757,0.963247] precision 0.9382989591283856 [0.536232,0.963046] precision 0.9366539111370208 [0.481928,0.964642] precision 0.9366451754653647 [0.5,0.96352] precision 0.9432193505453731 [0.554839,0.966998] predictive_accuracy 0.9411046689044857 predictive_accuracy 0.9475129691791273 predictive_accuracy 0.9420201403722918 predictive_accuracy 0.94537686908758 predictive_accuracy 0.946292340555386 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9450717119316449 predictive_accuracy 0.94018919743668 predictive_accuracy 0.9420201403722918 predictive_accuracy 0.9474969474969476 prior_entropy 0.31814512654009053 prior_entropy 0.31814512654009053 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3182159663170137 relative_absolute_error 0.7017901532495678 relative_absolute_error 0.6424740772951886 relative_absolute_error 0.6741185660106129 relative_absolute_error 0.6499420844152225 relative_absolute_error 0.6388181079123747 relative_absolute_error 0.652094210522559 relative_absolute_error 0.6376442209447364 relative_absolute_error 0.6840686555458224 relative_absolute_error 0.6745657610459027 relative_absolute_error 0.6483511897386538 root_mean_prior_squared_error 0.2331274113100656 root_mean_prior_squared_error 0.2331274113100656 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23316079395861228 root_mean_squared_error 0.22186279633301415 root_mean_squared_error 0.21189540893357897 root_mean_squared_error 0.22052805105013207 root_mean_squared_error 0.21312545499465077 root_mean_squared_error 0.2112365327055578 root_mean_squared_error 0.21705613532777657 root_mean_squared_error 0.21463255711635623 root_mean_squared_error 0.2225591849020258 root_mean_squared_error 0.21733488501136952 root_mean_squared_error 0.21384339779146538 root_relative_squared_error 0.9516804355448824 root_relative_squared_error 0.9089253286124835 root_relative_squared_error 0.9436156819830417 root_relative_squared_error 0.911940773997073 root_relative_squared_error 0.9038582797948718 root_relative_squared_error 0.9287597300688185 root_relative_squared_error 0.9183895009940203 root_relative_squared_error 0.95230668408335 root_relative_squared_error 0.929952469820218 root_relative_squared_error 0.9171498954040453 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 0.6881048331825534 [0.402116,0.974093] unweighted_recall 0.7039230199851961 [0.428571,0.979275] unweighted_recall 0.6901599236185703 [0.405263,0.975057] unweighted_recall 0.6894719792678976 [0.4,0.978944] unweighted_recall 0.7097147630982218 [0.442105,0.977324] unweighted_recall 0.685544643922732 [0.394737,0.976352] unweighted_recall 0.6843707909228854 [0.389474,0.979268] unweighted_recall 0.6965969345131536 [0.421053,0.972141] unweighted_recall 0.6876903142209265 [0.4,0.975381] unweighted_recall 0.7163373285822265 [0.455026,0.977648] usercpu_time_millis 3250 usercpu_time_millis 3312.5 usercpu_time_millis 3187.5 usercpu_time_millis 3203.125 usercpu_time_millis 3234.375 usercpu_time_millis 3296.875 usercpu_time_millis 3218.75 usercpu_time_millis 3390.625 usercpu_time_millis 3250 usercpu_time_millis 3281.25 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 156.25 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 156.25 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 156.25 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_training 3109.375 usercpu_time_millis_training 3156.25 usercpu_time_millis_training 3046.875 usercpu_time_millis_training 3062.5 usercpu_time_millis_training 3093.75 usercpu_time_millis_training 3140.625 usercpu_time_millis_training 3078.125 usercpu_time_millis_training 3234.375 usercpu_time_millis_training 3109.375 usercpu_time_millis_training 3140.625 wall_clock_time_millis 3295.133113861084 wall_clock_time_millis 3307.1231842041016 wall_clock_time_millis 3251.136302947998 wall_clock_time_millis 3261.12699508667 wall_clock_time_millis 3306.1065673828125 wall_clock_time_millis 3449.0034580230713 wall_clock_time_millis 3256.129026412964 wall_clock_time_millis 3457.0157527923584 wall_clock_time_millis 3299.1130352020264 wall_clock_time_millis 3301.130771636963 wall_clock_time_millis_testing 148.93770217895508 wall_clock_time_millis_testing 145.93935012817383 wall_clock_time_millis_testing 144.94037628173828 wall_clock_time_millis_testing 145.91622352600098 wall_clock_time_millis_testing 149.91450309753418 wall_clock_time_millis_testing 149.89614486694336 wall_clock_time_millis_testing 142.91858673095703 wall_clock_time_millis_testing 149.91378784179688 wall_clock_time_millis_testing 150.895357131958 wall_clock_time_millis_testing 142.93861389160156 wall_clock_time_millis_training 3146.195411682129 wall_clock_time_millis_training 3161.1838340759277 wall_clock_time_millis_training 3106.1959266662598 wall_clock_time_millis_training 3115.210771560669 wall_clock_time_millis_training 3156.1920642852783 wall_clock_time_millis_training 3299.107313156128 wall_clock_time_millis_training 3113.210439682007 wall_clock_time_millis_training 3307.1019649505615 wall_clock_time_millis_training 3148.2176780700684 wall_clock_time_millis_training 3158.1921577453613 weighted_recall 0.9411046689044859 [0.402116,0.974093] weighted_recall 0.9475129691791272 [0.428571,0.979275] weighted_recall 0.9420201403722918 [0.405263,0.975057] weighted_recall 0.9453768690875801 [0.4,0.978944] weighted_recall 0.946292340555386 [0.442105,0.977324] weighted_recall 0.9426304546841623 [0.394737,0.976352] weighted_recall 0.9450717119316447 [0.389474,0.979268] weighted_recall 0.9401891974366798 [0.421053,0.972141] weighted_recall 0.9420201403722918 [0.4,0.975381] weighted_recall 0.9474969474969475 [0.455026,0.977648]