10587732 29614 VASILEIOS GARGANOURAKIS 28 Supervised Classification 19090 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2) 8303960 Python_3.7.12. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.7.3. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth null 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 9385 18820 splitter "best" 18820 memory null 19090 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 19090 verbose false 19090 openml-python Sklearn_0.24.2. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 22102094 description https://api.openml.org/data/download/22102094/description.xml -1 22102095 predictions https://api.openml.org/data/download/22102095/predictions.arff area_under_roc_curve 0.9466099818665975 [0.976563,0.946361,0.949182,0.948503,0.933036,0.954428,0.975334,0.959138,0.912174,0.911625] average_cost 0 f_measure 0.9039726629921955 [0.961887,0.891566,0.908438,0.901995,0.889286,0.925725,0.950178,0.929078,0.849315,0.83304] kappa 0.8932356397924996 kb_relative_information_score 0.8995296542744613 mean_absolute_error 0.019217081850533984 mean_prior_absolute_error 0.17999735782507298 weighted_recall 0.9039145907473309 [0.956679,0.90718,0.908438,0.909091,0.876761,0.915771,0.956989,0.925795,0.83935,0.843416] number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.9042203801475555 [0.967153,0.876481,0.908438,0.895009,0.902174,0.935897,0.943463,0.932384,0.859519,0.822917] predictive_accuracy 0.9039145907473309 prior_entropy 3.3218327251668773 relative_absolute_error 0.10676313298559494 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.13862568972067907 root_relative_squared_error 0.4620890298832112 total_cost 0 unweighted_recall 0.9039470079408994 [0.956679,0.90718,0.908438,0.909091,0.876761,0.915771,0.956989,0.925795,0.83935,0.843416] area_under_roc_curve 0.9406898148284453 [0.97886,0.932656,0.967285,0.908833,0.897568,0.950416,0.94844,0.979178,0.910292,0.935559] area_under_roc_curve 0.9505908050193458 [0.971741,0.944398,0.974238,0.971162,0.916102,0.960333,0.989095,0.933547,0.93362,0.911738] area_under_roc_curve 0.9515769830134545 [0.980832,0.958972,0.941488,0.946239,0.95416,0.963298,0.989095,0.981466,0.911494,0.887916] area_under_roc_curve 0.9446150905288625 [0.972727,0.926715,0.961321,0.943408,0.942418,0.961321,0.998024,0.94921,0.924314,0.86713] area_under_roc_curve 0.9446345573584887 [0.951587,0.931666,0.951405,0.970714,0.945249,0.955747,0.941488,0.959962,0.922342,0.916102] area_under_roc_curve 0.939668439444922 [0.979846,0.958833,0.91569,0.931666,0.915112,0.933405,0.977202,0.970714,0.856733,0.956001] area_under_roc_curve 0.9515496738765722 [0.972226,0.95119,0.951587,0.947229,0.960952,0.97819,0.969769,0.95218,0.931571,0.900833] area_under_roc_curve 0.953537683328405 [0.990083,0.928834,0.96681,0.939448,0.924874,0.954369,0.998028,0.978496,0.922643,0.933583] area_under_roc_curve 0.9465991012254963 [0.989095,0.965209,0.920369,0.981327,0.943464,0.927583,0.990083,0.963298,0.871047,0.912761] area_under_roc_curve 0.9426662231440535 [0.97819,0.964773,0.941488,0.945388,0.930583,0.959345,0.952393,0.922643,0.937535,0.893881] 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 0.8928243752167788 [0.954955,0.884956,0.921739,0.864865,0.844037,0.910714,0.894737,0.955752,0.844037,0.854701] f_measure 0.9111955018313672 [0.962963,0.918919,0.915254,0.948276,0.872727,0.928571,0.973451,0.899083,0.844828,0.846847] f_measure 0.9135614104107748 [0.972477,0.913793,0.900901,0.87395,0.936937,0.954128,0.973451,0.973451,0.79661,0.838095] f_measure 0.9013032224168959 [0.971963,0.840336,0.936937,0.910714,0.902655,0.936937,0.982456,0.896552,0.895238,0.741379] f_measure 0.9004425340590894 [0.925926,0.877193,0.918919,0.947368,0.866667,0.894737,0.900901,0.921739,0.878505,0.872727] f_measure 0.8908606602933887 [0.963636,0.857143,0.878505,0.877193,0.864865,0.90566,0.93913,0.947368,0.784314,0.890756] f_measure 0.9129556947272147 [0.963636,0.912281,0.925926,0.881356,0.929825,0.947368,0.945455,0.920354,0.882883,0.821429] f_measure 0.916655002588073 [0.982143,0.915888,0.920354,0.87931,0.882883,0.944444,0.982143,0.948276,0.872727,0.840336] f_measure 0.9040337624498253 [0.973451,0.901639,0.862385,0.910569,0.917431,0.914286,0.982143,0.954128,0.823529,0.8] f_measure 0.8966755067202806 [0.947368,0.9,0.900901,0.927273,0.875,0.920354,0.927273,0.872727,0.869565,0.825688] kappa 0.881379543247921 kappa 0.9011478806598114 kappa 0.903123219047485 kappa 0.8892774466827562 kappa 0.8892797838507219 kappa 0.8793847149803325 kappa 0.9031201516979831 kappa 0.9070796615833817 kappa 0.8932280672126994 kappa 0.8853287177755262 kb_relative_information_score 0.8884597682088732 kb_relative_information_score 0.9070329499290792 kb_relative_information_score 0.9088091629189983 kb_relative_information_score 0.8958571892315793 kb_relative_information_score 0.8957530250842182 kb_relative_information_score 0.8864188177289496 kb_relative_information_score 0.9088343682654084 kb_relative_information_score 0.9126373650208057 kb_relative_information_score 0.8993833672216452 kb_relative_information_score 0.8921104572315878 mean_absolute_error 0.021352313167259766 mean_absolute_error 0.017793594306049817 mean_absolute_error 0.01743772241992882 mean_absolute_error 0.019928825622775787 mean_absolute_error 0.019928825622775787 mean_absolute_error 0.021708185053380763 mean_absolute_error 0.01743772241992882 mean_absolute_error 0.01672597864768683 mean_absolute_error 0.019217081850533797 mean_absolute_error 0.020640569395017776 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.1799979140724263 mean_prior_absolute_error 0.17999879901139712 number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,58,55,57,56,56,56,56,56,56] number_of_instances 562 [56,57,56,57,56,56,56,56,56,56] precision 0.893683975467023 [0.946429,0.892857,0.898305,0.90566,0.884615,0.910714,0.87931,0.947368,0.851852,0.819672] precision 0.9128754065666448 [0.981132,0.944444,0.870968,0.948276,0.90566,0.928571,0.964912,0.924528,0.803279,0.854545] precision 0.916490017514572 [0.981481,0.898305,0.909091,0.83871,0.962963,0.981132,0.964912,0.982143,0.746032,0.897959] precision 0.903493768243453 [1,0.806452,0.945455,0.927273,0.910714,0.945455,0.965517,0.881356,0.94,0.716667] precision 0.9016610941026565 [0.943396,0.877193,0.927273,0.947368,0.825397,0.864407,0.909091,0.913793,0.903846,0.90566] precision 0.8940150635524818 [0.963636,0.782609,0.921569,0.877193,0.888889,0.941176,0.915254,0.947368,0.851064,0.854839] precision 0.913518382391784 [0.981481,0.912281,0.943396,0.852459,0.929825,0.931034,0.945455,0.928571,0.890909,0.821429] precision 0.9190655183180088 [0.982143,0.98,0.896552,0.864407,0.907407,0.980769,0.964912,0.932203,0.888889,0.793651] precision 0.9090284822041226 [0.964912,0.859375,0.87037,0.848485,0.943396,0.979592,0.982143,0.981132,0.913043,0.75] precision 0.8977089044472727 [0.931034,0.857143,0.909091,0.962264,0.875,0.912281,0.944444,0.888889,0.847458,0.849057] predictive_accuracy 0.8932384341637011 predictive_accuracy 0.911032028469751 predictive_accuracy 0.9128113879003559 predictive_accuracy 0.900355871886121 predictive_accuracy 0.900355871886121 predictive_accuracy 0.891459074733096 predictive_accuracy 0.9128113879003559 predictive_accuracy 0.9163701067615658 predictive_accuracy 0.9039145907473309 predictive_accuracy 0.896797153024911 prior_entropy 3.3217909017967746 prior_entropy 3.3217909017967746 prior_entropy 3.321817923867619 prior_entropy 3.321817923867619 prior_entropy 3.3217996202390836 prior_entropy 3.3217996202390836 prior_entropy 3.3218501976437715 prior_entropy 3.3218501976437715 prior_entropy 3.321873176216062 prior_entropy 3.3219367883600994 relative_absolute_error 0.11862608657175842 relative_absolute_error 0.09885507214313208 relative_absolute_error 0.0968777665753969 relative_absolute_error 0.11071744751473926 relative_absolute_error 0.11071760303834244 relative_absolute_error 0.12060310330962301 relative_absolute_error 0.09687752843079943 relative_absolute_error 0.09292334359688927 relative_absolute_error 0.10676280305560297 relative_absolute_error 0.11467059507275301 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999987213529011 root_mean_prior_squared_error 0.3000001962538465 root_mean_squared_error 0.14612430724304484 root_mean_squared_error 0.13339263212805202 root_mean_squared_error 0.13205196863329535 root_mean_squared_error 0.14116949253566008 root_mean_squared_error 0.14116949253566008 root_mean_squared_error 0.14733697788871863 root_mean_squared_error 0.13205196863329535 root_mean_squared_error 0.12932895517898083 root_mean_squared_error 0.13862568972067837 root_mean_squared_error 0.14366826161340499 root_relative_squared_error 0.4870861790722595 root_relative_squared_error 0.44464681287812896 root_relative_squared_error 0.44017695979632554 root_relative_squared_error 0.47056896374560503 root_relative_squared_error 0.4705696247499722 root_relative_squared_error 0.4911281123956412 root_relative_squared_error 0.44017587775490064 root_relative_squared_error 0.4310991116165646 root_relative_squared_error 0.4620876018921665 root_relative_squared_error 0.47889389209545535 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 0.893679673321234 [0.963636,0.877193,0.946429,0.827586,0.807018,0.910714,0.910714,0.964286,0.836364,0.892857] unweighted_recall 0.9110767317981473 [0.945455,0.894737,0.964286,0.948276,0.842105,0.928571,0.982143,0.875,0.890909,0.839286] unweighted_recall 0.9126765778081568 [0.963636,0.929825,0.892857,0.912281,0.912281,0.928571,0.982143,0.964912,0.854545,0.785714] unweighted_recall 0.9003947368421052 [0.945455,0.877193,0.928571,0.894737,0.894737,0.928571,1,0.912281,0.854545,0.767857] unweighted_recall 0.900325244930508 [0.909091,0.877193,0.910714,0.947368,0.912281,0.927273,0.892857,0.929825,0.854545,0.842105] unweighted_recall 0.89110674413306 [0.963636,0.947368,0.839286,0.877193,0.842105,0.872727,0.964286,0.947368,0.727273,0.929825] unweighted_recall 0.9128354978354979 [0.946429,0.912281,0.909091,0.912281,0.929825,0.964286,0.945455,0.912281,0.875,0.821429] unweighted_recall 0.916725905673274 [0.982143,0.859649,0.945455,0.894737,0.859649,0.910714,1,0.964912,0.857143,0.892857] unweighted_recall 0.9035277456965296 [0.982143,0.948276,0.854545,0.982456,0.892857,0.857143,0.982143,0.928571,0.75,0.857143] unweighted_recall 0.8967105263157894 [0.964286,0.947368,0.892857,0.894737,0.875,0.928571,0.910714,0.857143,0.892857,0.803571] usercpu_time_millis 196.32502800000395 usercpu_time_millis 228.17274599999848 usercpu_time_millis 223.80345699998827 usercpu_time_millis 194.62432000001684 usercpu_time_millis 192.22140499999796 usercpu_time_millis 187.9339299999998 usercpu_time_millis 189.9035859999998 usercpu_time_millis 209.56875099999195 usercpu_time_millis 183.08530099999132 usercpu_time_millis 190.79607700000167 usercpu_time_millis_testing 4.506832000004124 usercpu_time_millis_testing 4.7021029999996244 usercpu_time_millis_testing 4.679022999994231 usercpu_time_millis_testing 4.569834000008655 usercpu_time_millis_testing 4.989296000005083 usercpu_time_millis_testing 4.589203999998404 usercpu_time_millis_testing 5.635334000004377 usercpu_time_millis_testing 4.5111159999891015 usercpu_time_millis_testing 4.612586999996893 usercpu_time_millis_testing 4.461054000003628 usercpu_time_millis_training 191.81819599999983 usercpu_time_millis_training 223.47064299999886 usercpu_time_millis_training 219.12443399999404 usercpu_time_millis_training 190.05448600000818 usercpu_time_millis_training 187.23210899999287 usercpu_time_millis_training 183.3447260000014 usercpu_time_millis_training 184.2682519999954 usercpu_time_millis_training 205.05763500000285 usercpu_time_millis_training 178.47271399999443 usercpu_time_millis_training 186.33502299999805 wall_clock_time_millis 195.6799030303955 wall_clock_time_millis 227.46992111206055 wall_clock_time_millis 223.16646575927734 wall_clock_time_millis 193.7410831451416 wall_clock_time_millis 192.36135482788086 wall_clock_time_millis 187.97850608825684 wall_clock_time_millis 189.39876556396484 wall_clock_time_millis 208.74428749084473 wall_clock_time_millis 182.295560836792 wall_clock_time_millis 189.87107276916504 wall_clock_time_millis_testing 4.556417465209961 wall_clock_time_millis_testing 4.712343215942383 wall_clock_time_millis_testing 4.690885543823242 wall_clock_time_millis_testing 4.575967788696289 wall_clock_time_millis_testing 4.99725341796875 wall_clock_time_millis_testing 4.599332809448242 wall_clock_time_millis_testing 4.9953460693359375 wall_clock_time_millis_testing 4.517316818237305 wall_clock_time_millis_testing 4.62031364440918 wall_clock_time_millis_testing 4.467010498046875 wall_clock_time_millis_training 191.12348556518555 wall_clock_time_millis_training 222.75757789611816 wall_clock_time_millis_training 218.4755802154541 wall_clock_time_millis_training 189.1651153564453 wall_clock_time_millis_training 187.3641014099121 wall_clock_time_millis_training 183.3791732788086 wall_clock_time_millis_training 184.4034194946289 wall_clock_time_millis_training 204.22697067260742 wall_clock_time_millis_training 177.6752471923828 wall_clock_time_millis_training 185.40406227111816 weighted_recall 0.8932384341637011 [0.963636,0.877193,0.946429,0.827586,0.807018,0.910714,0.910714,0.964286,0.836364,0.892857] weighted_recall 0.9110320284697508 [0.945455,0.894737,0.964286,0.948276,0.842105,0.928571,0.982143,0.875,0.890909,0.839286] weighted_recall 0.9128113879003559 [0.963636,0.929825,0.892857,0.912281,0.912281,0.928571,0.982143,0.964912,0.854545,0.785714] weighted_recall 0.900355871886121 [0.945455,0.877193,0.928571,0.894737,0.894737,0.928571,1,0.912281,0.854545,0.767857] weighted_recall 0.900355871886121 [0.909091,0.877193,0.910714,0.947368,0.912281,0.927273,0.892857,0.929825,0.854545,0.842105] weighted_recall 0.891459074733096 [0.963636,0.947368,0.839286,0.877193,0.842105,0.872727,0.964286,0.947368,0.727273,0.929825] weighted_recall 0.9128113879003559 [0.946429,0.912281,0.909091,0.912281,0.929825,0.964286,0.945455,0.912281,0.875,0.821429] weighted_recall 0.9163701067615658 [0.982143,0.859649,0.945455,0.894737,0.859649,0.910714,1,0.964912,0.857143,0.892857] weighted_recall 0.9039145907473309 [0.982143,0.948276,0.854545,0.982456,0.892857,0.857143,0.982143,0.928571,0.75,0.857143] weighted_recall 0.896797153024911 [0.964286,0.947368,0.892857,0.894737,0.875,0.928571,0.910714,0.857143,0.892857,0.803571]