10591689 32759 Steve De Picker 32 Supervised Classification 19194 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(21) 8304463 Python_3.9.7. Sklearn_1.1.3. NumPy_1.23.4. SciPy_1.9.3. memory null 19194 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 19194 verbose false 19194 add_indicator false 19195 copy true 19195 fill_value null 19195 missing_values NaN 19195 strategy "mean" 19195 verbose "deprecated" 19195 ccp_alpha 0.0 19196 class_weight null 19196 criterion "gini" 19196 max_depth null 19196 max_features null 19196 max_leaf_nodes null 19196 min_impurity_decrease 0.0 19196 min_samples_leaf 1 19196 min_samples_split 2 19196 min_weight_fraction_leaf 0.0 19196 random_state 40876 19196 splitter "best" 19196 openml-python Sklearn_1.1.3. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22111060 description https://api.openml.org/data/download/22111060/description.xml -1 22111061 predictions https://api.openml.org/data/download/22111061/predictions.arff area_under_roc_curve 0.9792213833428676 [0.987744,0.963587,0.977692,0.979554,0.98629,0.977931,0.987529,0.980894,0.978061,0.972911] average_cost 0 f_measure 0.9626116966195188 [0.9777,0.936021,0.957734,0.963033,0.975098,0.959735,0.978199,0.965427,0.964728,0.948512] kappa 0.9584470306730959 kb_relative_information_score 0.9608889717611429 mean_absolute_error 0.007478165938864686 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9626091703056768 [0.978128,0.934383,0.960664,0.963033,0.975524,0.96019,0.977273,0.965849,0.959242,0.951659] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9626250512801083 [0.977273,0.937665,0.954822,0.963033,0.974672,0.95928,0.979127,0.965004,0.970278,0.945386] predictive_accuracy 0.9626091703056768 prior_entropy 3.320771739846944 relative_absolute_error 0.041552758891091356 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.08647638948790985 root_relative_squared_error 0.28828029974864366 total_cost 0 unweighted_recall 0.9625945084383618 [0.978128,0.934383,0.960664,0.963033,0.975524,0.96019,0.977273,0.965849,0.959242,0.951659] area_under_roc_curve 0.9828177342658215 [0.993114,0.963391,0.989274,0.987964,0.971656,0.980952,0.998994,0.985321,0.980629,0.977611] area_under_roc_curve 0.978755322849266 [0.982609,0.957813,0.966012,0.978942,0.993586,0.969419,0.981132,0.9892,0.994277,0.974906] area_under_roc_curve 0.977270705923238 [0.977753,0.970131,0.980576,0.97894,0.99797,0.972166,0.987458,0.972389,0.97894,0.955533] area_under_roc_curve 0.981798863232977 [0.995106,0.96166,0.989705,0.97894,0.990288,0.992765,0.984708,0.971372,0.978437,0.975184] area_under_roc_curve 0.98178152915909 [0.980933,0.974196,0.972161,0.985346,0.994636,0.982828,0.97619,0.983796,0.984205,0.983702] area_under_roc_curve 0.9777650476909008 [0.971146,0.971881,0.974517,0.975408,0.976736,0.970691,0.988967,0.994599,0.968913,0.984943] area_under_roc_curve 0.9717314744796113 [0.985827,0.953602,0.98869,0.974401,0.98978,0.975593,0.992262,0.967268,0.944601,0.942589] area_under_roc_curve 0.9797598139637587 [0.998477,0.960344,0.966253,0.983835,0.960019,0.980629,0.993772,0.97941,0.990063,0.987458] area_under_roc_curve 0.9833069976594272 [0.994599,0.975024,0.971146,0.973897,0.998985,0.975184,0.995283,0.989198,0.989559,0.96918] area_under_roc_curve 0.9772319108306412 [0.99797,0.947693,0.978544,0.977934,0.989198,0.97894,0.976415,0.976547,0.970691,0.978111] 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 0.9690638578028663 [0.974359,0.950673,0.974138,0.967136,0.955752,0.980583,0.990654,0.973684,0.976077,0.948837] f_measure 0.9619887419043995 [0.982301,0.905983,0.93913,0.961905,0.978355,0.951923,0.980769,0.973913,0.985915,0.961905] f_measure 0.959016932800111 [0.973451,0.943231,0.965217,0.961905,0.982759,0.938967,0.962617,0.960352,0.961905,0.937198] f_measure 0.9672141443869154 [0.991228,0.934498,0.978166,0.961905,0.982609,0.972222,0.976077,0.951965,0.957346,0.966184] f_measure 0.96730897424609 [0.969163,0.944206,0.96,0.980952,0.987013,0.95814,0.97561,0.961039,0.971429,0.966825] f_measure 0.9600373441457054 [0.951542,0.95614,0.947826,0.966507,0.964912,0.961538,0.976303,0.9869,0.947368,0.940639] f_measure 0.9489037824740275 [0.977974,0.932735,0.969697,0.957346,0.978355,0.931507,0.967742,0.951111,0.917073,0.899522] f_measure 0.9635637123183194 [0.987013,0.925764,0.942731,0.967136,0.954545,0.976077,0.981308,0.956522,0.985782,0.962617] f_measure 0.9699380896840373 [0.9869,0.951965,0.951542,0.95283,0.991304,0.966184,0.995261,0.973913,0.981132,0.947867] f_measure 0.9590151575558524 [0.982759,0.915556,0.948718,0.95283,0.973913,0.961905,0.975845,0.964602,0.961538,0.953271] kappa 0.9656504149044135 kappa 0.9575660160734787 kappa 0.9544960196093587 kappa 0.9635960452887132 kappa 0.9635953418526589 kappa 0.9555079151120905 kappa 0.9433748563531693 kappa 0.959553952598263 kappa 0.9666298310006635 kappa 0.9544945122893802 kb_relative_information_score 0.9677381190232133 kb_relative_information_score 0.9600723281620752 kb_relative_information_score 0.9571037210875828 kb_relative_information_score 0.9657452082189389 kb_relative_information_score 0.9657487818589878 kb_relative_information_score 0.9581310302522003 kb_relative_information_score 0.9465606433788772 kb_relative_information_score 0.962140046046172 kb_relative_information_score 0.9685078384779995 kb_relative_information_score 0.957136452292723 mean_absolute_error 0.006181818181818185 mean_absolute_error 0.007636363636363638 mean_absolute_error 0.00818926296633303 mean_absolute_error 0.006551410373066427 mean_absolute_error 0.006551410373066427 mean_absolute_error 0.008007279344858963 mean_absolute_error 0.010191082802547763 mean_absolute_error 0.007279344858962696 mean_absolute_error 0.006005459508644225 mean_absolute_error 0.00818926296633303 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.1799686846580439 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799686846580439 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.9694244184615742 [0.957983,0.972477,0.965812,0.953704,0.964286,1,0.981481,0.973684,0.990291,0.93578] precision 0.962504417270896 [1,0.883333,0.93913,0.961905,0.965812,0.961165,1,0.965517,0.981308,0.971154] precision 0.9593489131147804 [0.990991,0.93913,0.965217,0.961905,0.966102,0.925926,0.944954,0.973214,0.961905,0.960396] precision 0.9673082415770003 [0.991228,0.938596,0.973913,0.961905,0.982609,0.954545,0.980769,0.95614,0.95283,0.980392] precision 0.9676528574199474 [0.973451,0.932203,0.972973,0.990385,0.982759,0.944954,1,0.948718,0.971429,0.962264] precision 0.9605840778737156 [0.955752,0.964602,0.939655,0.980583,0.973451,0.980392,0.971698,0.982609,0.951923,0.903509] precision 0.9493324288362858 [0.982301,0.954128,0.957265,0.961905,0.974138,0.902655,0.945946,0.963964,0.94,0.903846] precision 0.9639713697682918 [0.974359,0.921739,0.946903,0.962617,0.990566,0.990291,0.972222,0.948276,0.990476,0.944954] precision 0.9699930146757161 [0.982609,0.947826,0.955752,0.95283,0.982759,0.980392,1,0.965517,0.981132,0.952381] precision 0.9593707988417562 [0.966102,0.927928,0.932773,0.943925,0.965517,0.961905,1,0.973214,0.980392,0.944444] predictive_accuracy 0.9690909090909091 predictive_accuracy 0.9618181818181819 predictive_accuracy 0.9590536851683349 predictive_accuracy 0.9672429481346678 predictive_accuracy 0.9672429481346678 predictive_accuracy 0.9599636032757052 predictive_accuracy 0.949044585987261 predictive_accuracy 0.9636032757051864 predictive_accuracy 0.9699727024567788 predictive_accuracy 0.9590536851683349 prior_entropy 3.3207726565016804 prior_entropy 3.3207726565016804 prior_entropy 3.320615093773185 prior_entropy 3.320615093773185 prior_entropy 3.3207190205874304 prior_entropy 3.3207190205874304 prior_entropy 3.320822852867135 prior_entropy 3.3209290746720725 prior_entropy 3.3209290746720725 prior_entropy 3.3208228528671353 relative_absolute_error 0.03434954297242033 relative_absolute_error 0.04243178837769568 relative_absolute_error 0.04550454958179791 relative_absolute_error 0.036403639665438345 relative_absolute_error 0.0364033485727799 relative_absolute_error 0.044492981588953186 relative_absolute_error 0.056626978309652624 relative_absolute_error 0.04044751078879136 relative_absolute_error 0.03336919640075287 relative_absolute_error 0.045503821855970884 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.2999744686062071 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.2999744686062071 root_mean_squared_error 0.07862453931068966 root_mean_squared_error 0.08738628975053031 root_mean_squared_error 0.09049454661101425 root_mean_squared_error 0.08094078312610045 root_mean_squared_error 0.08094078312610045 root_mean_squared_error 0.08948340262226824 root_mean_squared_error 0.10095089302501371 root_mean_squared_error 0.08531907675873372 root_mean_squared_error 0.07749489988795537 root_mean_squared_error 0.09049454661101425 root_relative_squared_error 0.2621051167047541 root_relative_squared_error 0.2913135501239644 root_relative_squared_error 0.30167898716009517 root_relative_squared_error 0.2698298890693037 root_relative_squared_error 0.269827731423908 root_relative_squared_error 0.29830578105529715 root_relative_squared_error 0.3365316171541835 root_relative_squared_error 0.2844188015587562 root_relative_squared_error 0.2583362055754057 root_relative_squared_error 0.3016741625761871 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 0.9692175681204652 [0.991304,0.929825,0.982609,0.980952,0.947368,0.961905,1,0.973684,0.962264,0.962264] unweighted_recall 0.9618278880137175 [0.965217,0.929825,0.93913,0.961905,0.991228,0.942857,0.962264,0.982456,0.990566,0.95283] unweighted_recall 0.9589170835209435 [0.956522,0.947368,0.965217,0.961905,1,0.952381,0.980952,0.947826,0.961905,0.915094] unweighted_recall 0.9672738861098604 [0.991228,0.930435,0.982456,0.961905,0.982609,0.990566,0.971429,0.947826,0.961905,0.952381] unweighted_recall 0.9672425320890413 [0.964912,0.956522,0.947368,0.971698,0.991304,0.971698,0.952381,0.973684,0.971429,0.971429] unweighted_recall 0.9600072988048464 [0.947368,0.947826,0.95614,0.95283,0.956522,0.943396,0.980952,0.991228,0.942857,0.980952] unweighted_recall 0.9485762807346505 [0.973684,0.912281,0.982456,0.95283,0.982609,0.962264,0.990566,0.938596,0.895238,0.895238] unweighted_recall 0.9640998723223152 [1,0.929825,0.938596,0.971698,0.921053,0.962264,0.990566,0.964912,0.981132,0.980952] unweighted_recall 0.969749846313898 [0.991228,0.95614,0.947368,0.95283,1,0.952381,0.990566,0.982456,0.981132,0.943396] unweighted_recall 0.9589622744309502 [1,0.903509,0.965217,0.961905,0.982456,0.961905,0.95283,0.95614,0.943396,0.962264] usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 62.5 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 wall_clock_time_millis 69.84400749206543 wall_clock_time_millis 68.81356239318848 wall_clock_time_millis 68.817138671875 wall_clock_time_millis 67.81888008117676 wall_clock_time_millis 67.84892082214355 wall_clock_time_millis 73.83298873901367 wall_clock_time_millis 78.79114151000977 wall_clock_time_millis 69.84591484069824 wall_clock_time_millis 66.85543060302734 wall_clock_time_millis 68.84503364562988 wall_clock_time_millis_testing 2.0263195037841797 wall_clock_time_millis_testing 0.9973049163818359 wall_clock_time_millis_testing 0.9984970092773438 wall_clock_time_millis_testing 0.9977817535400391 wall_clock_time_millis_testing 2.0253658294677734 wall_clock_time_millis_testing 2.024412155151367 wall_clock_time_millis_testing 0.9665489196777344 wall_clock_time_millis_testing 0.9992122650146484 wall_clock_time_millis_testing 1.9965171813964844 wall_clock_time_millis_testing 2.0258426666259766 wall_clock_time_millis_training 67.81768798828125 wall_clock_time_millis_training 67.81625747680664 wall_clock_time_millis_training 67.81864166259766 wall_clock_time_millis_training 66.82109832763672 wall_clock_time_millis_training 65.82355499267578 wall_clock_time_millis_training 71.8085765838623 wall_clock_time_millis_training 77.82459259033203 wall_clock_time_millis_training 68.8467025756836 wall_clock_time_millis_training 64.85891342163086 wall_clock_time_millis_training 66.8191909790039 weighted_recall 0.9690909090909091 [0.991304,0.929825,0.982609,0.980952,0.947368,0.961905,1,0.973684,0.962264,0.962264] weighted_recall 0.9618181818181818 [0.965217,0.929825,0.93913,0.961905,0.991228,0.942857,0.962264,0.982456,0.990566,0.95283] weighted_recall 0.9590536851683349 [0.956522,0.947368,0.965217,0.961905,1,0.952381,0.980952,0.947826,0.961905,0.915094] weighted_recall 0.9672429481346679 [0.991228,0.930435,0.982456,0.961905,0.982609,0.990566,0.971429,0.947826,0.961905,0.952381] weighted_recall 0.9672429481346679 [0.964912,0.956522,0.947368,0.971698,0.991304,0.971698,0.952381,0.973684,0.971429,0.971429] weighted_recall 0.9599636032757052 [0.947368,0.947826,0.95614,0.95283,0.956522,0.943396,0.980952,0.991228,0.942857,0.980952] weighted_recall 0.9490445859872612 [0.973684,0.912281,0.982456,0.95283,0.982609,0.962264,0.990566,0.938596,0.895238,0.895238] weighted_recall 0.9636032757051866 [1,0.929825,0.938596,0.971698,0.921053,0.962264,0.990566,0.964912,0.981132,0.980952] weighted_recall 0.9699727024567789 [0.991228,0.95614,0.947368,0.95283,1,0.952381,0.990566,0.982456,0.981132,0.943396] weighted_recall 0.9590536851683349 [1,0.903509,0.965217,0.961905,0.982456,0.961905,0.95283,0.95614,0.943396,0.962264]