7808770 3886 Benjamin Strang 28 Supervised Classification 7122 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 5838497 memory null 7122 axis 0 7123 copy true 7123 missing_values "NaN" 7123 strategy "mean" 7123 verbose 0 7123 class_weight null 7124 criterion "gini" 7124 max_depth null 7124 max_features null 7124 max_leaf_nodes null 7124 min_impurity_decrease 0.0 7124 min_impurity_split null 7124 min_samples_leaf 1 7124 min_samples_split 2 7124 min_weight_fraction_leaf 0.0 7124 presort false 7124 random_state 32626 7124 splitter "best" 7124 openml-python Sklearn_0.19.0. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 16541513 description https://api.openml.org/data/download/16541513/description.xml -1 16541514 predictions https://api.openml.org/data/download/16541514/predictions.arff area_under_roc_curve 0.9464115447088273 [0.981075,0.942082,0.947082,0.942845,0.936942,0.954231,0.975235,0.958262,0.911892,0.914887] average_cost 0 f_measure 0.9036356212262372 [0.966576,0.887543,0.910407,0.887166,0.890265,0.924051,0.949333,0.934646,0.841155,0.846222] kappa 0.8928404763575809 kb_relative_information_score 5053.3369499056425 mean_absolute_error 0.019288256227758184 mean_prior_absolute_error 0.17999735782507298 number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.9038560656504753 [0.96745,0.876923,0.917883,0.874363,0.895018,0.932482,0.941799,0.947368,0.841155,0.845471] predictive_accuracy 0.90355871886121 prior_entropy 3.3218330631942767 recall 0.90355871886121 [0.965704,0.898424,0.903052,0.90035,0.885563,0.915771,0.956989,0.922261,0.841155,0.846975] relative_absolute_error 0.10715855199665271 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.1388821667016978 root_relative_squared_error 0.4629439594390902 total_cost 0 area_under_roc_curve 0.9446501799928239 [0.987951,0.941428,0.969262,0.891591,0.90634,0.953381,0.959345,0.953381,0.942711,0.944488] area_under_roc_curve 0.9476224183023251 [0.970755,0.943408,0.951405,0.951936,0.915112,0.960333,0.989095,0.925607,0.939753,0.929595] area_under_roc_curve 0.9495850601267998 [0.980832,0.931666,0.942476,0.928696,0.959962,0.979178,0.980167,0.979486,0.913466,0.899809] area_under_roc_curve 0.9446287643943196 [0.981818,0.946239,0.942476,0.933646,0.9502,0.950416,0.989095,0.95317,0.930446,0.869106] area_under_roc_curve 0.9406995523323879 [0.960678,0.947229,0.951405,0.941428,0.940438,0.958705,0.931571,0.95416,0.904375,0.917092] area_under_roc_curve 0.9446111230623963 [0.988937,0.937467,0.933547,0.944259,0.933646,0.94151,0.986131,0.971704,0.877873,0.930676] area_under_roc_curve 0.9466050258228808 [0.972226,0.913132,0.950601,0.957982,0.957982,0.977202,0.967796,0.968734,0.897833,0.902809] area_under_roc_curve 0.9505693352973065 [0.990083,0.925864,0.96681,0.936477,0.925864,0.935524,0.997041,0.980476,0.90775,0.941523] area_under_roc_curve 0.9475911802011177 [0.989095,0.975814,0.921356,0.971565,0.950416,0.925607,0.990083,0.963298,0.878,0.908773] area_under_roc_curve 0.947610848041326 [0.988107,0.957982,0.941488,0.971704,0.929595,0.960333,0.962309,0.931571,0.927619,0.904785] 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 0.9003423420186022 [0.964286,0.894737,0.938053,0.844037,0.854545,0.93578,0.920354,0.93578,0.854701,0.864407] f_measure 0.9062286570603071 [0.954128,0.910714,0.918919,0.913793,0.864865,0.928571,0.973451,0.897196,0.833333,0.867257] f_measure 0.9096036938974471 [0.972477,0.877193,0.909091,0.854701,0.921739,0.955752,0.964286,0.956522,0.810345,0.873786] f_measure 0.9008437872655262 [0.981481,0.87395,0.909091,0.892857,0.904348,0.910714,0.973451,0.928571,0.880734,0.754386] f_measure 0.8937907143989551 [0.93578,0.881356,0.918919,0.894737,0.886957,0.918919,0.882883,0.936937,0.8,0.880734] f_measure 0.9000256938178719 [0.972973,0.864407,0.899083,0.859504,0.892857,0.907407,0.948276,0.955752,0.831683,0.869565] f_measure 0.9033758791386826 [0.963636,0.849558,0.917431,0.905983,0.905983,0.93913,0.928571,0.931034,0.857143,0.836364] f_measure 0.9112865998563351 [0.982143,0.890909,0.920354,0.857143,0.890909,0.915888,0.973451,0.964912,0.87619,0.842975] f_measure 0.9052695613058509 [0.973451,0.92562,0.87037,0.894309,0.910714,0.897196,0.982143,0.954128,0.819048,0.824561] f_measure 0.9056639687178282 [0.964912,0.905983,0.900901,0.955752,0.867257,0.928571,0.945455,0.882883,0.852174,0.851852] kappa 0.8892918576468891 kappa 0.8952178593289384 kappa 0.8991676458378774 kappa 0.8892801733691236 kappa 0.8813762048828537 kappa 0.8892739407457967 kappa 0.8932340772846247 kappa 0.9011478806598114 kappa 0.8952056939201289 kappa 0.8952141731397051 kb_relative_information_score 503.53317514606164 kb_relative_information_score 506.62018702404384 kb_relative_information_score 508.6874356552764 kb_relative_information_score 503.4585743830736 kb_relative_information_score 499.23718347304884 kb_relative_information_score 503.41687975671687 kb_relative_information_score 505.5287017250084 kb_relative_information_score 509.75091376063256 kb_relative_information_score 506.5074571711619 kb_relative_information_score 506.5964418109228 mean_absolute_error 0.019928825622775787 mean_absolute_error 0.0188612099644128 mean_absolute_error 0.01814946619217081 mean_absolute_error 0.019928825622775787 mean_absolute_error 0.021352313167259766 mean_absolute_error 0.019928825622775787 mean_absolute_error 0.019217081850533797 mean_absolute_error 0.017793594306049817 mean_absolute_error 0.0188612099644128 mean_absolute_error 0.0188612099644128 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 0.9026992756950601 [0.947368,0.894737,0.929825,0.901961,0.886792,0.962264,0.912281,0.962264,0.806452,0.822581] precision 0.9085417456736167 [0.962963,0.927273,0.927273,0.913793,0.888889,0.928571,0.964912,0.941176,0.769231,0.859649] precision 0.911953676874888 [0.981481,0.877193,0.925926,0.833333,0.913793,0.947368,0.964286,0.948276,0.770492,0.957447] precision 0.9019787555822162 [1,0.83871,0.925926,0.909091,0.896552,0.910714,0.964912,0.945455,0.888889,0.741379] precision 0.8954336401022255 [0.944444,0.852459,0.927273,0.894737,0.87931,0.910714,0.890909,0.962963,0.766667,0.923077] precision 0.9023091044567575 [0.964286,0.836066,0.924528,0.8125,0.909091,0.924528,0.916667,0.964286,0.913043,0.862069] precision 0.9042303812960096 [0.981481,0.857143,0.925926,0.883333,0.883333,0.915254,0.912281,0.915254,0.918367,0.851852] precision 0.9147022279522861 [0.982143,0.924528,0.896552,0.822581,0.924528,0.960784,0.948276,0.964912,0.938776,0.784615] precision 0.9075367869173578 [0.964912,0.888889,0.886792,0.833333,0.910714,0.941176,0.982143,0.981132,0.877551,0.810345] precision 0.9062828236797142 [0.948276,0.883333,0.909091,0.964286,0.859649,0.928571,0.962963,0.890909,0.830508,0.884615] predictive_accuracy 0.900355871886121 predictive_accuracy 0.905693950177936 predictive_accuracy 0.9092526690391459 predictive_accuracy 0.900355871886121 predictive_accuracy 0.8932384341637011 predictive_accuracy 0.900355871886121 predictive_accuracy 0.9039145907473309 predictive_accuracy 0.911032028469751 predictive_accuracy 0.905693950177936 predictive_accuracy 0.905693950177936 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 prior_entropy 3.3218330631942767 recall 0.900355871886121 [0.981818,0.894737,0.946429,0.793103,0.824561,0.910714,0.928571,0.910714,0.909091,0.910714] recall 0.905693950177936 [0.945455,0.894737,0.910714,0.913793,0.842105,0.928571,0.982143,0.857143,0.909091,0.875] recall 0.9092526690391459 [0.963636,0.877193,0.892857,0.877193,0.929825,0.964286,0.964286,0.964912,0.854545,0.803571] recall 0.900355871886121 [0.963636,0.912281,0.892857,0.877193,0.912281,0.910714,0.982143,0.912281,0.872727,0.767857] recall 0.8932384341637011 [0.927273,0.912281,0.910714,0.894737,0.894737,0.927273,0.875,0.912281,0.836364,0.842105] recall 0.900355871886121 [0.981818,0.894737,0.875,0.912281,0.877193,0.890909,0.982143,0.947368,0.763636,0.877193] recall 0.9039145907473309 [0.946429,0.842105,0.909091,0.929825,0.929825,0.964286,0.945455,0.947368,0.803571,0.821429] recall 0.9110320284697508 [0.982143,0.859649,0.945455,0.894737,0.859649,0.875,1,0.964912,0.821429,0.910714] recall 0.905693950177936 [0.982143,0.965517,0.854545,0.964912,0.910714,0.857143,0.982143,0.928571,0.767857,0.839286] recall 0.905693950177936 [0.982143,0.929825,0.892857,0.947368,0.875,0.928571,0.928571,0.875,0.875,0.821429] relative_absolute_error 0.1107176808003079 relative_absolute_error 0.10478637647171998 relative_absolute_error 0.10083196112949472 relative_absolute_error 0.11071744751473926 relative_absolute_error 0.11862600325536687 relative_absolute_error 0.11071760303834244 relative_absolute_error 0.10676299051557486 relative_absolute_error 0.09885462084775452 relative_absolute_error 0.10478571411012885 relative_absolute_error 0.10478519894579158 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 0.14116949253566008 root_mean_squared_error 0.13733612039231632 root_mean_squared_error 0.13471995469183773 root_mean_squared_error 0.14116949253566008 root_mean_squared_error 0.14612430724304484 root_mean_squared_error 0.14116949253566008 root_mean_squared_error 0.13862568972067837 root_mean_squared_error 0.13339263212805202 root_mean_squared_error 0.13733612039231632 root_mean_squared_error 0.13733612039231632 root_relative_squared_error 0.4705699552532005 root_relative_squared_error 0.4577919128761871 root_relative_squared_error 0.4490703220398632 root_relative_squared_error 0.47056896374560503 root_relative_squared_error 0.48708583696891694 root_relative_squared_error 0.4705696247499722 root_relative_squared_error 0.46208841324909045 root_relative_squared_error 0.44464478296461574 root_relative_squared_error 0.4577890191430585 root_relative_squared_error 0.45778676849967376 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 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 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 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125