10227126 1 Jan van Rijn 9968 Supervised Classification 9666 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4) 8152558 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [2]}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "most_frequent" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "friedman_mse" 9667 init null 9667 learning_rate 6.120136407325203e-05 9667 loss "deviance" 9667 max_depth 17 9667 max_features 0.2164951926946036 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.26759466224029316 9667 min_impurity_split null 9667 min_samples_leaf 20 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.07800447348648654 9667 n_estimators 1406 9667 n_iter_no_change 152 9667 presort "auto" 9667 random_state 56629 9667 subsample 0.21920238747107568 9667 tol 1.039830594024931e-05 9667 validation_fraction 0.23366992142123633 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1505 tamilnadu-electricity https://www.openml.org/data/download/1592297/phpvFYBg2 -1 21375168 description https://api.openml.org/data/download/21375168/description.xml -1 21375169 predictions https://api.openml.org/data/download/21375169/predictions.arff area_under_roc_curve 0.499360154433536 [0.494938,0.50745,0.503077,0.501364,0.505394,0.491326,0.498143,0.501074,0.501831,0.493957,0.49885,0.509032,0.495666,0.50209,0.498036,0.491852,0.507777,0.500968,0.494788,0.49216] average_cost 0 kappa 0.00010139247070819773 kb_relative_information_score 1776.541163282386 mean_absolute_error 0.09502903840033552 mean_prior_absolute_error 0.0945029158003211 number_of_instances 45781 [1410,2867,2884,2905,2830,2887,2876,2857,2906,2874,2870,1403,2896,1397,1403,1418,1405,1400,1405,2888] predictive_accuracy 0.045433695201065945 prior_entropy 4.245500751548492 recall 0.045433695201065945 [0,0,0,0,0.226148,0,0,0,0,0,0,0,0,0.073729,0,0,0.469039,0.002143,0,0.233726] relative_absolute_error 1.005567263142717 root_mean_prior_squared_error 0.21737375501392403 root_mean_squared_error 0.21802082631329367 root_relative_squared_error 1.0029767682824826 total_cost 0 area_under_roc_curve 0.4974918462488604 [0.451444,0.51229,0.504572,0.478785,0.524388,0.494487,0.509744,0.49926,0.463942,0.500456,0.500032,0.483806,0.523219,0.511957,0.523866,0.465283,0.497378,0.494208,0.490776,0.489754] area_under_roc_curve 0.4959893977210061 [0.490173,0.515333,0.488962,0.491033,0.498914,0.465812,0.500771,0.521737,0.513423,0.472103,0.482064,0.527359,0.474614,0.498708,0.476609,0.504832,0.518576,0.506751,0.508744,0.496325] area_under_roc_curve 0.49937314753946316 [0.495742,0.487324,0.508897,0.51943,0.505369,0.499347,0.477871,0.515874,0.521495,0.480183,0.497665,0.525576,0.495552,0.511215,0.494356,0.462269,0.498649,0.52356,0.473027,0.4886] area_under_roc_curve 0.5025828142153885 [0.517881,0.526605,0.499481,0.510979,0.524163,0.496213,0.519544,0.474521,0.501995,0.494778,0.519163,0.515427,0.475494,0.496398,0.503046,0.484646,0.507907,0.489877,0.483416,0.499323] area_under_roc_curve 0.4987722833064584 [0.468311,0.50764,0.515213,0.487169,0.510114,0.485923,0.47838,0.489184,0.498657,0.489122,0.4856,0.512135,0.501483,0.520105,0.524067,0.474277,0.518254,0.51101,0.519718,0.508956] area_under_roc_curve 0.5002839340599955 [0.530887,0.531052,0.518298,0.520471,0.501858,0.505544,0.492835,0.509709,0.49317,0.485967,0.506848,0.426261,0.488788,0.528943,0.460174,0.505218,0.5339,0.510931,0.505974,0.449222] area_under_roc_curve 0.49685555153489536 [0.504241,0.503438,0.499257,0.497877,0.515479,0.446949,0.491353,0.502644,0.516082,0.528706,0.496595,0.480135,0.516364,0.505655,0.454515,0.475305,0.471712,0.494164,0.497141,0.492802] area_under_roc_curve 0.5022858791390908 [0.490699,0.499784,0.514833,0.518154,0.468984,0.484354,0.524902,0.504312,0.479109,0.491502,0.502116,0.531864,0.513549,0.478502,0.519626,0.487342,0.493562,0.496626,0.497053,0.536448] area_under_roc_curve 0.5048340643628089 [0.467259,0.50572,0.490022,0.502544,0.52168,0.524946,0.50897,0.481987,0.509923,0.528187,0.533978,0.524969,0.507866,0.467497,0.513679,0.502868,0.481322,0.515224,0.495434,0.476788] area_under_roc_curve 0.49563459092107764 [0.503674,0.487288,0.494677,0.495998,0.486831,0.508619,0.49314,0.501972,0.503744,0.475131,0.481895,0.536296,0.477901,0.495901,0.498708,0.545936,0.52634,0.504085,0.480681,0.478204] 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 kappa 0.00217165869685216 kappa 0.001583935476905047 kappa -0.0059848738845747415 kappa 0.0018308426288846905 kappa 0.0014871033843406975 kappa -0.0027622717073438247 kappa 0.0023768020601882063 kappa 0.001856239695139927 kappa -0.000738855175523542 kappa -0.0007989955484533705 kb_relative_information_score 177.68087537983723 kb_relative_information_score 177.45371948771557 kb_relative_information_score 177.63051065200688 kb_relative_information_score 177.99764388872427 kb_relative_information_score 178.00325750804583 kb_relative_information_score 177.63255142932468 kb_relative_information_score 177.43326062001017 kb_relative_information_score 177.45010929233732 kb_relative_information_score 177.62606425617145 kb_relative_information_score 177.63317076823373 mean_absolute_error 0.09502913076591075 mean_absolute_error 0.09502901415561392 mean_absolute_error 0.09502899006143231 mean_absolute_error 0.09502890548378307 mean_absolute_error 0.0950288820709492 mean_absolute_error 0.09502900177557543 mean_absolute_error 0.09502914428077856 mean_absolute_error 0.09502910062610244 mean_absolute_error 0.0950291432605828 mean_absolute_error 0.09502907150245986 mean_prior_absolute_error 0.09450269300503948 mean_prior_absolute_error 0.09450216275055595 mean_prior_absolute_error 0.09450286907511965 mean_prior_absolute_error 0.09450426789344867 mean_prior_absolute_error 0.09450426789344867 mean_prior_absolute_error 0.09450285047508049 mean_prior_absolute_error 0.09450215845823924 mean_prior_absolute_error 0.09450215845823924 mean_prior_absolute_error 0.09450286430587884 mean_prior_absolute_error 0.09450286573665108 number_of_instances 4579 [141,287,289,290,283,288,287,286,291,288,287,140,290,140,140,142,141,140,140,289] number_of_instances 4578 [141,287,289,290,283,288,287,286,291,288,287,140,290,140,140,142,140,140,140,289] number_of_instances 4578 [141,286,289,290,283,289,288,286,290,287,287,141,290,140,140,142,140,140,140,289] number_of_instances 4578 [141,286,288,290,283,289,288,285,290,287,287,141,290,140,141,142,140,140,141,289] number_of_instances 4578 [141,286,288,290,283,289,288,285,290,287,287,141,290,140,141,142,140,140,141,289] number_of_instances 4578 [141,287,288,291,283,289,288,285,290,287,287,140,290,139,141,142,140,140,141,289] number_of_instances 4578 [141,287,288,291,283,289,288,286,291,287,287,140,289,139,140,141,141,140,141,289] number_of_instances 4578 [141,287,288,291,283,289,288,286,291,287,287,140,289,139,140,141,141,140,141,289] number_of_instances 4578 [141,287,288,291,283,289,287,286,291,288,287,140,289,140,140,142,141,140,140,288] number_of_instances 4578 [141,287,289,291,283,288,287,286,291,288,287,140,289,140,140,142,141,140,140,288] predictive_accuracy 0.045861541821358376 predictive_accuracy 0.04565312363477501 predictive_accuracy 0.04193971166448231 predictive_accuracy 0.048055919615552646 predictive_accuracy 0.04652686762778506 predictive_accuracy 0.041284403669724766 predictive_accuracy 0.047182175622542594 predictive_accuracy 0.0491480996068152 predictive_accuracy 0.04630843162953255 predictive_accuracy 0.04237658366098733 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 prior_entropy 4.245500751548492 recall 0.045861541821358376 [0,0,0,0,0.212014,0,0,0,0,0,0,0,0,0,0,0,0.503546,0.021429,0,0.262976] recall 0.045653123634775014 [0,0,0,0,0.183746,0,0,0,0,0,0,0,0,0.1,0,0,0.542857,0,0,0.231834] recall 0.04193971166448231 [0,0,0,0,0.24735,0,0,0,0,0,0,0,0,0,0,0,0.435714,0,0,0.211073] recall 0.048055919615552646 [0,0,0,0,0.300353,0,0,0,0,0,0,0,0,0.071429,0,0,0.45,0,0,0.214533] recall 0.04652686762778506 [0,0,0,0,0.141343,0,0,0,0,0,0,0,0,0.042857,0,0,0.507143,0,0,0.33218] recall 0.04128440366972477 [0,0,0,0,0.116608,0,0,0,0,0,0,0,0,0.129496,0,0,0.492857,0,0,0.238754] recall 0.047182175622542594 [0,0,0,0,0.187279,0,0,0,0,0,0,0,0,0.179856,0,0,0.375887,0,0,0.294118] recall 0.0491480996068152 [0,0,0,0,0.275618,0,0,0,0,0,0,0,0,0.151079,0,0,0.361702,0,0,0.259516] recall 0.04630843162953255 [0,0,0,0,0.342756,0,0,0,0,0,0,0,0,0,0,0,0.468085,0,0,0.170139] recall 0.04237658366098733 [0,0,0,0,0.254417,0,0,0,0,0,0,0,0,0.064286,0,0,0.553191,0,0,0.121528] relative_absolute_error 1.0055706112083305 relative_absolute_error 1.0055750195521833 relative_absolute_error 1.005567248819657 relative_absolute_error 1.0055514698121986 relative_absolute_error 1.0055512220685316 relative_absolute_error 1.005567570690724 relative_absolute_error 1.0055764421801243 relative_absolute_error 1.0055759802364308 relative_absolute_error 1.00556892067314 relative_absolute_error 1.005568146126649 root_mean_prior_squared_error 0.21737324254283874 root_mean_prior_squared_error 0.21737202285276797 root_mean_prior_squared_error 0.21737364753729455 root_mean_prior_squared_error 0.21737686505697193 root_mean_prior_squared_error 0.21737686505697193 root_mean_prior_squared_error 0.21737360475372536 root_mean_prior_squared_error 0.21737201297956357 root_mean_prior_squared_error 0.21737201297956357 root_mean_prior_squared_error 0.21737363656714942 root_mean_prior_squared_error 0.21737363985819302 root_mean_squared_error 0.21802109848314352 root_mean_squared_error 0.21802075718552902 root_mean_squared_error 0.21802070588577926 root_mean_squared_error 0.21802051922783455 root_mean_squared_error 0.21802046523730534 root_mean_squared_error 0.21802073674927216 root_mean_squared_error 0.21802106100327745 root_mean_squared_error 0.21802095986116007 root_mean_squared_error 0.21802106243775432 root_mean_squared_error 0.218020897001371 root_relative_squared_error 1.0029803849486079 root_relative_squared_error 1.0029844426354741 root_relative_squared_error 1.0029767101753846 root_relative_squared_error 1.0029610058581622 root_relative_squared_error 1.0029607574852308 root_relative_squared_error 1.0029770495653323 root_relative_squared_error 1.0029858858774745 root_relative_squared_error 1.0029854205824442 root_relative_squared_error 1.0029784010647718 root_relative_squared_error 1.0029776248104425 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 358686.43244099803 usercpu_time_millis 359653.1619680027 usercpu_time_millis 362099.79168599966 usercpu_time_millis 365756.2707430043 usercpu_time_millis 361083.0979770035 usercpu_time_millis 361754.21089000156 usercpu_time_millis 362038.7064270035 usercpu_time_millis 339739.9173790036 usercpu_time_millis 326192.02213000244 usercpu_time_millis 328598.05631999916 usercpu_time_millis_testing 819.0169279987458 usercpu_time_millis_testing 816.4746680049575 usercpu_time_millis_testing 834.417949001363 usercpu_time_millis_testing 791.0360870009754 usercpu_time_millis_testing 821.9072860010783 usercpu_time_millis_testing 815.7256039994536 usercpu_time_millis_testing 835.1249990009819 usercpu_time_millis_testing 795.5900960005238 usercpu_time_millis_testing 810.2037179996842 usercpu_time_millis_testing 805.2222859987523 usercpu_time_millis_training 357867.4155129993 usercpu_time_millis_training 358836.6872999977 usercpu_time_millis_training 361265.3737369983 usercpu_time_millis_training 364965.2346560033 usercpu_time_millis_training 360261.1906910024 usercpu_time_millis_training 360938.4852860021 usercpu_time_millis_training 361203.5814280025 usercpu_time_millis_training 338944.3272830031 usercpu_time_millis_training 325381.81841200276 usercpu_time_millis_training 327792.8340340004