10591078 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304412 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 19174 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"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 28309 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22109752 description https://api.openml.org/data/download/22109752/description.xml -1 22109753 predictions https://api.openml.org/data/download/22109753/predictions.arff area_under_roc_curve 0.8357375302966743 [0.835738,0.835738] average_cost 0 f_measure 0.9284966303732233 [0.211434,0.972558] kappa 0.19850787492007685 kb_relative_information_score -0.14412929213374975 mean_absolute_error 0.08900266158125865 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9469620678079893 [0.122826,0.997603] number_of_instances 32769 [1897,30872] precision 0.9377535465583764 [0.758958,0.94874] predictive_accuracy 0.9469620678079893 prior_entropy 0.3190117574285477 relative_absolute_error 0.8157785820303292 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.2079635957519232 root_relative_squared_error 0.890501089519748 total_cost 0 unweighted_recall 0.5602142599647594 [0.122826,0.997603] area_under_roc_curve 0.8413555116922993 [0.841356,0.841356] area_under_roc_curve 0.8359985401760013 [0.835999,0.835999] area_under_roc_curve 0.8381847475832438 [0.838185,0.838185] area_under_roc_curve 0.8337220602526725 [0.833722,0.833722] area_under_roc_curve 0.8355156598980444 [0.835516,0.835516] area_under_roc_curve 0.8315064873067022 [0.831506,0.831506] area_under_roc_curve 0.8405818969191686 [0.840582,0.840582] area_under_roc_curve 0.8066688830920841 [0.806669,0.806669] area_under_roc_curve 0.8455219681857705 [0.845522,0.845522] area_under_roc_curve 0.8501396023261913 [0.85014,0.85014] 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 0.9242123266386987 [0.144231,0.971951] f_measure 0.9204942020310354 [0.097561,0.970862] f_measure 0.9262147550236159 [0.19469,0.971239] f_measure 0.9354845649871066 [0.306383,0.974205] f_measure 0.9309137781983726 [0.242152,0.973306] f_measure 0.9288796728379553 [0.217195,0.972683] f_measure 0.9306983088673877 [0.241071,0.973144] f_measure 0.9284733043455975 [0.210046,0.972691] f_measure 0.9294899964146427 [0.225225,0.972836] f_measure 0.9290887831263388 [0.217195,0.972674] kappa 0.13511774317427572 kappa 0.08936261616824649 kappa 0.17953508079271244 kappa 0.2906314118951659 kappa 0.2289207789694412 kappa 0.20425104254832288 kappa 0.22747417934125402 kappa 0.19772643329092598 kappa 0.21205478839255487 kappa 0.20389380530973353 kb_relative_information_score -0.14816591027116988 kb_relative_information_score -0.12811667814248706 kb_relative_information_score -0.17712910255573 kb_relative_information_score -0.12468945955830461 kb_relative_information_score -0.15571592083642286 kb_relative_information_score -0.16764285913504262 kb_relative_information_score -0.09624789807699326 kb_relative_information_score -0.18815218740414327 kb_relative_information_score -0.11960770502716561 kb_relative_information_score -0.13574623669310856 mean_absolute_error 0.08964109487501677 mean_absolute_error 0.08873819235870876 mean_absolute_error 0.0909263317379668 mean_absolute_error 0.08821229852174346 mean_absolute_error 0.08915691332356973 mean_absolute_error 0.0892017381344781 mean_absolute_error 0.08747853822615774 mean_absolute_error 0.09026175283568165 mean_absolute_error 0.08784741926009179 mean_absolute_error 0.08856220212981666 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 0.9375311919446794 [0.789474,0.946593] precision 0.9266466789197418 [0.625,0.945109] precision 0.9286218591679588 [0.611111,0.948164] precision 0.9435181674255311 [0.8,0.952351] precision 0.9421248895596881 [0.818182,0.949753] precision 0.9387329913460079 [0.774194,0.94886] precision 0.9407150567616055 [0.794118,0.949738] precision 0.9395690181305443 [0.793103,0.948584] precision 0.9394175765349664 [0.78125,0.949153] precision 0.9376482025988807 [0.75,0.949137] predictive_accuracy 0.9456820262435154 predictive_accuracy 0.9435459261519682 predictive_accuracy 0.9444613976197742 predictive_accuracy 0.950259383582545 predictive_accuracy 0.9484284406469332 predictive_accuracy 0.9472078120231919 predictive_accuracy 0.9481232834909978 predictive_accuracy 0.9472078120231919 predictive_accuracy 0.9475129691791273 predictive_accuracy 0.9471916971916972 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 0.8230669220864949 relative_absolute_error 0.8147766485676593 relative_absolute_error 0.8328045758455282 relative_absolute_error 0.8079464380732796 relative_absolute_error 0.8165982720836894 relative_absolute_error 0.8170088276061916 relative_absolute_error 0.8012258443788306 relative_absolute_error 0.8267176223717153 relative_absolute_error 0.8046044675689558 relative_absolute_error 0.8130445378044838 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 0.21080670536459364 root_mean_squared_error 0.20903302467902182 root_mean_squared_error 0.20932820098424443 root_mean_squared_error 0.20712023814633776 root_mean_squared_error 0.2058454565312907 root_mean_squared_error 0.20972121488916246 root_mean_squared_error 0.20660731615334535 root_mean_squared_error 0.21078783107386911 root_mean_squared_error 0.20471192466007782 root_mean_squared_error 0.20556386521536285 root_relative_squared_error 0.9042553347972246 root_relative_squared_error 0.8966471317309075 root_relative_squared_error 0.8956927347311844 root_relative_squared_error 0.8862451005224602 root_relative_squared_error 0.8807904478497776 root_relative_squared_error 0.8973743987288123 root_relative_squared_error 0.8840503627831255 root_relative_squared_error 0.9019383340366036 root_relative_squared_error 0.8759401875558575 root_relative_squared_error 0.8816399263585109 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 0.5390348712887573 [0.079365,0.998705] unweighted_recall 0.5254835238643529 [0.05291,0.998057] unweighted_recall 0.5556271631459602 [0.115789,0.995465] unweighted_recall 0.5932791161577413 [0.189474,0.997085] unweighted_recall 0.5700808142805995 [0.142105,0.998056] unweighted_recall 0.5620241078887696 [0.126316,0.997732] unweighted_recall 0.5699188447308747 [0.142105,0.997732] unweighted_recall 0.5595544984911258 [0.121053,0.998056] unweighted_recall 0.564655686836138 [0.131579,0.997732] unweighted_recall 0.5621963070942663 [0.126984,0.997408] usercpu_time_millis 5781.25 usercpu_time_millis 5750 usercpu_time_millis 5890.625 usercpu_time_millis 5343.75 usercpu_time_millis 5218.75 usercpu_time_millis 6125 usercpu_time_millis 5718.75 usercpu_time_millis 6390.625 usercpu_time_millis 5796.875 usercpu_time_millis 5765.625 usercpu_time_millis_testing 187.5 usercpu_time_millis_testing 171.875 usercpu_time_millis_testing 187.5 usercpu_time_millis_testing 187.5 usercpu_time_millis_testing 171.875 usercpu_time_millis_testing 187.5 usercpu_time_millis_testing 171.875 usercpu_time_millis_testing 187.5 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 187.5 usercpu_time_millis_training 5593.75 usercpu_time_millis_training 5578.125 usercpu_time_millis_training 5703.125 usercpu_time_millis_training 5156.25 usercpu_time_millis_training 5046.875 usercpu_time_millis_training 5937.5 usercpu_time_millis_training 5546.875 usercpu_time_millis_training 6203.125 usercpu_time_millis_training 5656.25 usercpu_time_millis_training 5578.125 wall_clock_time_millis 2014.8208141326904 wall_clock_time_millis 1985.8617782592773 wall_clock_time_millis 1982.8627109527588 wall_clock_time_millis 1976.8657684326172 wall_clock_time_millis 2010.847806930542 wall_clock_time_millis 1996.854543685913 wall_clock_time_millis 1992.8555488586426 wall_clock_time_millis 1978.8658618927002 wall_clock_time_millis 1983.8628768920898 wall_clock_time_millis 1958.8770866394043 wall_clock_time_millis_testing 53.9700984954834 wall_clock_time_millis_testing 51.970720291137695 wall_clock_time_millis_testing 51.97000503540039 wall_clock_time_millis_testing 50.97079277038574 wall_clock_time_millis_testing 49.97134208679199 wall_clock_time_millis_testing 51.97000503540039 wall_clock_time_millis_testing 60.965538024902344 wall_clock_time_millis_testing 50.971031188964844 wall_clock_time_millis_testing 50.97031593322754 wall_clock_time_millis_testing 44.974327087402344 wall_clock_time_millis_training 1960.850715637207 wall_clock_time_millis_training 1933.8910579681396 wall_clock_time_millis_training 1930.8927059173584 wall_clock_time_millis_training 1925.8949756622314 wall_clock_time_millis_training 1960.87646484375 wall_clock_time_millis_training 1944.8845386505127 wall_clock_time_millis_training 1931.8900108337402 wall_clock_time_millis_training 1927.8948307037354 wall_clock_time_millis_training 1932.8925609588623 wall_clock_time_millis_training 1913.902759552002 weighted_recall 0.9456820262435154 [0.079365,0.998705] weighted_recall 0.9435459261519683 [0.05291,0.998057] weighted_recall 0.9444613976197742 [0.115789,0.995465] weighted_recall 0.950259383582545 [0.189474,0.997085] weighted_recall 0.9484284406469332 [0.142105,0.998056] weighted_recall 0.9472078120231919 [0.126316,0.997732] weighted_recall 0.9481232834909978 [0.142105,0.997732] weighted_recall 0.9472078120231919 [0.121053,0.998056] weighted_recall 0.9475129691791272 [0.131579,0.997732] weighted_recall 0.9471916971916972 [0.126984,0.997408]