10435711 10963 Nelly Palacios 28 Supervised Classification 17488 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1) 8259290 add_indicator false 17407 copy true 17407 fill_value -1 17407 missing_values NaN 17407 strategy "constant" 17407 verbose 0 17407 memory null 17488 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"}}] 17488 verbose false 17488 base_score 0.5 17489 booster "gbtree" 17489 colsample_bylevel 1 17489 colsample_bynode 1 17489 colsample_bytree 1 17489 gamma 0 17489 learning_rate 0.1 17489 max_delta_step 0 17489 max_depth 3 17489 min_child_weight 1 17489 missing null 17489 n_estimators 100 17489 n_jobs 1 17489 nthread null 17489 objective "multi:softprob" 17489 random_state 42 17489 reg_alpha 0 17489 reg_lambda 1 17489 scale_pos_weight 1 17489 seed null 17489 silent null 17489 subsample 1 17489 verbosity 1 17489 openml-python Sklearn_0.21.2. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 21794326 description https://api.openml.org/data/download/21794326/description.xml -1 21794327 predictions https://api.openml.org/data/download/21794327/predictions.arff area_under_roc_curve 0.9994369636287751 [0.999932,0.9996,0.999932,0.999495,0.999554,0.999449,0.999728,0.99972,0.999115,0.997846] average_cost 0 f_measure 0.9759931271188796 [0.990975,0.969802,0.991899,0.973684,0.98153,0.977498,0.985663,0.983201,0.958904,0.946996] kappa 0.9733089775554781 kb_relative_information_score 0.9626406574077899 mean_absolute_error 0.011519158194735183 mean_prior_absolute_error 0.17999735782507298 weighted_recall 0.9759786476868327 [0.990975,0.984238,0.989228,0.97028,0.982394,0.973118,0.985663,0.982332,0.947653,0.953737] number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.9760942371399919 [0.990975,0.955782,0.994585,0.977113,0.980668,0.981917,0.985663,0.984071,0.970425,0.940351] predictive_accuracy 0.9759786476868328 prior_entropy 3.3218327251668773 relative_absolute_error 0.06399626268919935 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.06288624721745739 root_relative_squared_error 0.20962236529363779 total_cost 0 unweighted_recall 0.9759618603425444 [0.990975,0.984238,0.989228,0.97028,0.982394,0.973118,0.985663,0.982332,0.947653,0.953737] area_under_roc_curve 0.99960215197873 [1,0.999757,0.999965,0.999453,0.99861,1,0.999788,0.999929,0.999641,0.998906] area_under_roc_curve 0.9997077239178082 [1,0.999896,1,0.999008,0.999861,0.999859,1,0.999718,0.999749,0.999012] area_under_roc_curve 0.9996729006650266 [1,1,1,0.999479,0.999896,1,1,1,0.999677,0.997671] area_under_roc_curve 0.9995918466606674 [1,0.999548,0.999647,0.999062,1,1,1,0.999965,0.999749,0.997953] area_under_roc_curve 0.9997467053505004 [0.999857,0.999826,1,1,0.999965,0.999426,0.999824,1,0.999785,0.998784] area_under_roc_curve 0.9986180581615856 [0.999749,0.999687,1,0.999236,0.998298,0.997095,0.998553,0.999062,0.996701,0.997742] area_under_roc_curve 0.9997291164158122 [0.999965,0.999861,1,0.999653,1,0.999788,0.999892,0.999826,0.999929,0.998377] area_under_roc_curve 0.9993913146536687 [0.999965,0.999826,1,0.999236,0.999618,0.999647,1,0.999687,0.999435,0.996506] area_under_roc_curve 0.9987968893161365 [1,0.998905,0.999785,0.999722,0.999965,0.999224,1,0.999471,0.996683,0.994212] area_under_roc_curve 0.9997502643657528 [0.999894,0.999722,0.999965,0.999965,0.999965,0.999929,0.999541,1,0.999329,0.999188] 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 0.9785817696166609 [1,0.965517,0.99115,0.964912,0.964286,1,0.973451,0.99115,0.972973,0.963636] f_measure 0.98223593713176 [1,0.982143,0.99115,0.973913,0.982456,0.973913,1,0.981818,0.981818,0.955752] f_measure 0.9857291169840281 [0.990826,0.991304,0.990991,0.973913,0.982759,1,1,0.991304,0.972477,0.963636] f_measure 0.9770898486537956 [1,0.964912,0.990991,0.973451,0.991304,0.990991,0.99115,0.972973,0.972477,0.923077] f_measure 0.9785408128720922 [0.990826,0.974359,1,1,0.974359,0.981818,0.972477,0.982759,0.972477,0.936937] f_measure 0.9606000009195967 [0.981818,0.95,1,0.964912,0.956522,0.943396,0.973451,0.99115,0.895238,0.948276] f_measure 0.9787861072206165 [0.990991,0.973451,1,0.982143,1,0.955752,0.981818,0.982456,0.982143,0.93913] f_measure 0.9733080602028269 [0.99115,0.973913,0.990826,0.947368,0.982143,0.982143,0.990991,0.964912,0.954955,0.955752] f_measure 0.9698309564115972 [0.99115,0.966102,0.981481,0.973913,0.990991,0.972477,1,0.973451,0.927273,0.921739] f_measure 0.9751209563738591 [0.973451,0.957983,0.982143,0.982456,0.990991,0.972973,0.972973,1,0.954128,0.964286] kappa 0.9762749905895017 kappa 0.9802290892716424 kappa 0.9841827706185114 kappa 0.9742978160531353 kappa 0.9762739889883727 kappa 0.9565007828029624 kappa 0.9762749905895017 kappa 0.9703435295773162 kappa 0.9663883875643366 kappa 0.9723204328538309 kb_relative_information_score 0.9631446388895304 kb_relative_information_score 0.9670767227374472 kb_relative_information_score 0.9690917823727716 kb_relative_information_score 0.9638496288172465 kb_relative_information_score 0.9667909903033286 kb_relative_information_score 0.9487519465610447 kb_relative_information_score 0.9647891548369865 kb_relative_information_score 0.9599582883832727 kb_relative_information_score 0.9571424983685926 kb_relative_information_score 0.9658108925316832 mean_absolute_error 0.011253852364927035 mean_absolute_error 0.010740416208836302 mean_absolute_error 0.010527124766287388 mean_absolute_error 0.011658861488972062 mean_absolute_error 0.01029143163300408 mean_absolute_error 0.014505243497442437 mean_absolute_error 0.011283272380531494 mean_absolute_error 0.011819146486843415 mean_absolute_error 0.012523560342798218 mean_absolute_error 0.010588672777709257 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 0.9788228997872778 [1,0.949153,0.982456,0.982143,0.981818,1,0.964912,0.982456,0.964286,0.981481] precision 0.9825714839000512 [1,1,0.982456,0.982456,0.982456,0.949153,1,1,0.981818,0.947368] precision 0.985909620234618 [1,0.982759,1,0.965517,0.966102,1,1,0.982759,0.981481,0.981481] precision 0.9778864414046033 [1,0.964912,1,0.982143,0.982759,1,0.982456,1,0.981481,0.885246] precision 0.9790714714956226 [1,0.95,1,1,0.95,0.981818,1,0.966102,0.981481,0.962963] precision 0.9615932424847826 [0.981818,0.904762,1,0.964912,0.948276,0.980392,0.964912,1,0.94,0.932203] precision 0.9791619425697968 [1,0.982143,1,1,1,0.947368,0.981818,0.982456,0.982143,0.915254] precision 0.9734629033873854 [0.982456,0.965517,1,0.947368,1,0.982143,0.982143,0.964912,0.963636,0.947368] precision 0.9704289821569744 [0.982456,0.95,1,0.965517,1,1,1,0.964912,0.944444,0.898305] precision 0.9757034628395042 [0.964912,0.919355,0.982143,0.982456,1,0.981818,0.981818,1,0.981132,0.964286] predictive_accuracy 0.9786476868327402 predictive_accuracy 0.9822064056939501 predictive_accuracy 0.9857651245551601 predictive_accuracy 0.9768683274021351 predictive_accuracy 0.9786476868327402 predictive_accuracy 0.9608540925266904 predictive_accuracy 0.9786476868327402 predictive_accuracy 0.9733096085409252 predictive_accuracy 0.9697508896797153 predictive_accuracy 0.9750889679715303 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 0.06252252177317373 relative_absolute_error 0.05967004759745393 relative_absolute_error 0.05848495068673263 relative_absolute_error 0.06477247628237737 relative_absolute_error 0.05717560401235921 relative_absolute_error 0.08058607275327447 relative_absolute_error 0.06268568305618526 relative_absolute_error 0.06566280115219486 relative_absolute_error 0.06957614151994604 relative_absolute_error 0.058826352374933374 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 0.0630190904855166 root_mean_squared_error 0.05592827288768766 root_mean_squared_error 0.053538261916095 root_mean_squared_error 0.060633335023048664 root_mean_squared_error 0.05758398490992348 root_mean_squared_error 0.07885867786107768 root_mean_squared_error 0.058689834029861165 root_mean_squared_error 0.06632571582780071 root_mean_squared_error 0.07036893642885256 root_mean_squared_error 0.05978867624694805 root_relative_squared_error 0.21006585811998985 root_relative_squared_error 0.1864295493128579 root_relative_squared_error 0.17846238573276468 root_relative_squared_error 0.2021128298880068 root_relative_squared_error 0.19194851298219306 root_relative_squared_error 0.2628648568669501 root_relative_squared_error 0.19563395742416728 root_relative_squared_error 0.2210870499272747 root_relative_squared_error 0.23456412117861866 root_relative_squared_error 0.19929545711482669 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 0.9788490033862084 [1,0.982456,1,0.948276,0.947368,1,0.982143,1,0.981818,0.946429] unweighted_recall 0.9823275272821551 [1,0.964912,1,0.965517,0.982456,1,1,0.964286,0.981818,0.964286] unweighted_recall 0.9856482114376851 [0.981818,1,0.982143,0.982456,1,1,1,1,0.963636,0.946429] unweighted_recall 0.9769400774663932 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.947368,0.963636,0.964286] unweighted_recall 0.9785982000455684 [0.981818,1,1,1,1,0.981818,0.946429,1,0.963636,0.912281] unweighted_recall 0.9604790385053542 [0.981818,1,1,0.964912,0.964912,0.909091,0.982143,0.982456,0.854545,0.964912] unweighted_recall 0.978695602642971 [0.982143,0.964912,1,0.964912,1,0.964286,0.981818,0.982456,0.982143,0.964286] unweighted_recall 0.9734324447482342 [1,0.982456,0.981818,0.947368,0.964912,0.982143,1,0.964912,0.946429,0.964286] unweighted_recall 0.9696708267534039 [1,0.982759,0.963636,0.982456,0.982143,0.946429,1,0.982143,0.910714,0.946429] unweighted_recall 0.9750313283208019 [0.982143,1,0.982143,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.964286] usercpu_time_millis 6464.286686999685 usercpu_time_millis 6590.145836000147 usercpu_time_millis 5941.294404000018 usercpu_time_millis 5557.416516999865 usercpu_time_millis 5550.460712000131 usercpu_time_millis 5579.494706000105 usercpu_time_millis 5536.36214800008 usercpu_time_millis 5552.202720999958 usercpu_time_millis 5551.0156919999645 usercpu_time_millis 5552.880577000224 usercpu_time_millis_testing 23.34536099988327 usercpu_time_millis_testing 24.240977000090425 usercpu_time_millis_testing 22.540273999993587 usercpu_time_millis_testing 22.629769999866767 usercpu_time_millis_testing 22.569256999986465 usercpu_time_millis_testing 22.612046000176633 usercpu_time_millis_testing 22.394837000092593 usercpu_time_millis_testing 22.7088139999978 usercpu_time_millis_testing 22.825046999969345 usercpu_time_millis_testing 22.43500200006565 usercpu_time_millis_training 6440.941325999802 usercpu_time_millis_training 6565.904859000057 usercpu_time_millis_training 5918.754130000025 usercpu_time_millis_training 5534.786746999998 usercpu_time_millis_training 5527.891455000145 usercpu_time_millis_training 5556.882659999928 usercpu_time_millis_training 5513.967310999988 usercpu_time_millis_training 5529.49390699996 usercpu_time_millis_training 5528.190644999995 usercpu_time_millis_training 5530.445575000158 wall_clock_time_millis 6493.401050567627 wall_clock_time_millis 6602.01096534729 wall_clock_time_millis 5942.15726852417 wall_clock_time_millis 5558.300256729126 wall_clock_time_millis 5554.264783859253 wall_clock_time_millis 5584.294319152832 wall_clock_time_millis 5537.7197265625 wall_clock_time_millis 5552.614450454712 wall_clock_time_millis 5551.196575164795 wall_clock_time_millis 5552.940845489502 wall_clock_time_millis_testing 23.348569869995117 wall_clock_time_millis_testing 24.243831634521484 wall_clock_time_millis_testing 22.543907165527344 wall_clock_time_millis_testing 22.63498306274414 wall_clock_time_millis_testing 22.572994232177734 wall_clock_time_millis_testing 22.61638641357422 wall_clock_time_millis_testing 22.397994995117188 wall_clock_time_millis_testing 22.711992263793945 wall_clock_time_millis_testing 22.82881736755371 wall_clock_time_millis_testing 22.438764572143555 wall_clock_time_millis_training 6470.052480697632 wall_clock_time_millis_training 6577.767133712769 wall_clock_time_millis_training 5919.613361358643 wall_clock_time_millis_training 5535.665273666382 wall_clock_time_millis_training 5531.691789627075 wall_clock_time_millis_training 5561.677932739258 wall_clock_time_millis_training 5515.321731567383 wall_clock_time_millis_training 5529.902458190918 wall_clock_time_millis_training 5528.367757797241 wall_clock_time_millis_training 5530.502080917358 weighted_recall 0.9786476868327402 [1,0.982456,1,0.948276,0.947368,1,0.982143,1,0.981818,0.946429] weighted_recall 0.9822064056939501 [1,0.964912,1,0.965517,0.982456,1,1,0.964286,0.981818,0.964286] weighted_recall 0.9857651245551602 [0.981818,1,0.982143,0.982456,1,1,1,1,0.963636,0.946429] weighted_recall 0.9768683274021353 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.947368,0.963636,0.964286] weighted_recall 0.9786476868327402 [0.981818,1,1,1,1,0.981818,0.946429,1,0.963636,0.912281] weighted_recall 0.9608540925266904 [0.981818,1,1,0.964912,0.964912,0.909091,0.982143,0.982456,0.854545,0.964912] weighted_recall 0.9786476868327402 [0.982143,0.964912,1,0.964912,1,0.964286,0.981818,0.982456,0.982143,0.964286] weighted_recall 0.9733096085409253 [1,0.982456,0.981818,0.947368,0.964912,0.982143,1,0.964912,0.946429,0.964286] weighted_recall 0.9697508896797153 [1,0.982759,0.963636,0.982456,0.982143,0.946429,1,0.982143,0.910714,0.946429] weighted_recall 0.9750889679715302 [0.982143,1,0.982143,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.964286]