10154614 7789 Sarim Zafar 28 Supervised Classification 8945 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2) 8080244 class_weight null 8906 criterion "gini" 8906 max_depth null 8906 max_features null 8906 max_leaf_nodes null 8906 min_impurity_decrease 0.0 8906 min_impurity_split null 8906 min_samples_leaf 1 8906 min_samples_split 2 8906 min_weight_fraction_leaf 0.0 8906 presort false 8906 random_state 13758 8906 splitter "best" 8906 memory null 8945 copy true 8946 fill_value null 8946 missing_values NaN 8946 strategy "mean" 8946 verbose 0 8946 openml-python Sklearn_0.20.2. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 21229795 description https://api.openml.org/data/download/21229795/description.xml -1 21229796 predictions https://api.openml.org/data/download/21229796/predictions.arff area_under_roc_curve 0.950071765856171 [0.980977,0.951135,0.951965,0.938608,0.939198,0.962888,0.977923,0.961986,0.923315,0.913306] average_cost 0 f_measure 0.9101344618315503 [0.965704,0.899398,0.918626,0.895154,0.896185,0.937782,0.952128,0.93357,0.858169,0.845674] kappa 0.9001566795378395 kb_relative_information_score 5092.112250738714 mean_absolute_error 0.017971530249110478 mean_prior_absolute_error 0.17999735782507298 number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.910254988388448 [0.965704,0.883446,0.925319,0.902309,0.903399,0.943739,0.942105,0.936057,0.853571,0.847943] predictive_accuracy 0.9101423487544484 prior_entropy 3.3218330631942767 recall 0.9101423487544484 [0.965704,0.915937,0.912029,0.888112,0.889085,0.9319,0.962366,0.931095,0.862816,0.843416] relative_absolute_error 0.09984330029208412 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.13405793616608633 root_relative_squared_error 0.4468630727533294 total_cost 0 area_under_roc_curve 0.9505810136675398 [0.989923,0.94921,0.968274,0.883963,0.899548,0.97025,0.971238,0.980167,0.951802,0.945476] area_under_roc_curve 0.9515887155072227 [0.97886,0.944398,0.97819,0.954912,0.916102,0.971238,0.997036,0.924619,0.950816,0.900833] area_under_roc_curve 0.9505790725715226 [0.979846,0.947229,0.949428,0.931666,0.945388,0.998024,0.980167,0.978496,0.914452,0.880964] area_under_roc_curve 0.9465913673950365 [0.971741,0.934497,0.943464,0.942418,0.940438,0.961321,0.987119,0.969724,0.933405,0.881988] area_under_roc_curve 0.9485949688357052 [0.961664,0.940438,0.941488,0.960952,0.957982,0.960678,0.956381,0.960952,0.918397,0.926854] area_under_roc_curve 0.9416662093273901 [0.977873,0.964773,0.934536,0.920914,0.926854,0.949614,0.977202,0.95317,0.864838,0.946239] area_under_roc_curve 0.9525456353198994 [0.972226,0.95317,0.942496,0.947229,0.970714,0.986131,0.959692,0.969724,0.920666,0.902809] area_under_roc_curve 0.9594606823687257 [0.999012,0.943408,0.968782,0.934636,0.930676,0.953381,0.998028,0.979486,0.953381,0.935559] area_under_roc_curve 0.950553650315232 [0.989095,0.966201,0.940524,0.964773,0.957369,0.927583,0.989095,0.971238,0.880964,0.917702] area_under_roc_curve 0.9486009470512267 [0.989095,0.967744,0.952393,0.945388,0.947452,0.950416,0.963298,0.931571,0.944488,0.893881] 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 0.910691066578593 [0.981818,0.896552,0.929825,0.841121,0.859813,0.946429,0.954955,0.964286,0.864407,0.871795] f_measure 0.9128884510751165 [0.954955,0.918919,0.947368,0.938053,0.872727,0.954955,0.973913,0.888889,0.857143,0.821429] f_measure 0.9108220323269229 [0.963636,0.881356,0.902655,0.877193,0.927273,0.982456,0.964286,0.948276,0.817391,0.843137] f_measure 0.9042142055072365 [0.962963,0.842975,0.917431,0.902655,0.886957,0.936937,0.956522,0.93913,0.90566,0.792793] f_measure 0.9076361418747809 [0.944444,0.886957,0.900901,0.929825,0.905983,0.93578,0.896552,0.929825,0.846847,0.899083] f_measure 0.8944668899485503 [0.946429,0.9,0.907407,0.852174,0.899083,0.909091,0.93913,0.928571,0.788462,0.87395] f_measure 0.9145437266874313 [0.963636,0.928571,0.915888,0.881356,0.947368,0.948276,0.927273,0.93913,0.857143,0.836364] f_measure 0.9271769091187608 [0.99115,0.910714,0.936937,0.900901,0.869565,0.93578,0.982143,0.956522,0.93578,0.854701] f_measure 0.910654503174477 [0.973451,0.909091,0.899083,0.9,0.904348,0.914286,0.973451,0.954955,0.843137,0.834783] f_measure 0.9076476658789642 [0.973451,0.923077,0.927273,0.927273,0.886957,0.910714,0.954128,0.882883,0.864407,0.825688] kappa 0.9011548351466672 kappa 0.9031290123999648 kappa 0.901145794122924 kappa 0.8932310723332395 kappa 0.8971894557978688 kappa 0.8833462917292597 kappa 0.9050969575863331 kappa 0.91894040666995 kappa 0.9011388383637597 kappa 0.8971923492308072 kb_relative_information_score 509.81825876576926 kb_relative_information_score 510.8302432912848 kb_relative_information_score 509.73812431984874 kb_relative_information_score 505.5453258804704 kb_relative_information_score 507.59545726764225 kb_relative_information_score 500.28002785325333 kb_relative_information_score 511.7948076315391 kb_relative_information_score 519.1921585056481 kb_relative_information_score 509.65779431584684 kb_relative_information_score 507.66005290770306 mean_absolute_error 0.017793594306049817 mean_absolute_error 0.01743772241992882 mean_absolute_error 0.017793594306049817 mean_absolute_error 0.019217081850533797 mean_absolute_error 0.018505338078291807 mean_absolute_error 0.020996441281138773 mean_absolute_error 0.017081850533807827 mean_absolute_error 0.014590747330960859 mean_absolute_error 0.017793594306049817 mean_absolute_error 0.018505338078291807 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 0.9135625019034503 [0.981818,0.881356,0.913793,0.918367,0.92,0.946429,0.963636,0.964286,0.809524,0.836066] precision 0.9149021313621991 [0.946429,0.944444,0.931034,0.963636,0.90566,0.963636,0.949153,0.923077,0.796875,0.821429] precision 0.9131320317686207 [0.963636,0.852459,0.894737,0.877193,0.962264,0.965517,0.964286,0.932203,0.783333,0.934783] precision 0.9057442127164284 [0.981132,0.796875,0.943396,0.910714,0.87931,0.945455,0.932203,0.931034,0.941176,0.8] precision 0.9086376145750544 [0.962264,0.87931,0.909091,0.929825,0.883333,0.944444,0.866667,0.929825,0.839286,0.942308] precision 0.8960950916977071 [0.929825,0.857143,0.942308,0.844828,0.942308,0.909091,0.915254,0.945455,0.836735,0.83871] precision 0.9152614975435939 [0.981481,0.945455,0.942308,0.852459,0.947368,0.916667,0.927273,0.931034,0.857143,0.851852] precision 0.9282141468404518 [0.982456,0.927273,0.928571,0.925926,0.862069,0.962264,0.964912,0.948276,0.962264,0.819672] precision 0.9137962738133296 [0.964912,0.873016,0.907407,0.857143,0.881356,0.979592,0.964912,0.963636,0.934783,0.813559] precision 0.9091206479193147 [0.964912,0.9,0.944444,0.962264,0.864407,0.910714,0.981132,0.890909,0.822581,0.849057] predictive_accuracy 0.911032028469751 predictive_accuracy 0.9128113879003559 predictive_accuracy 0.911032028469751 predictive_accuracy 0.9039145907473309 predictive_accuracy 0.9074733096085409 predictive_accuracy 0.895017793594306 predictive_accuracy 0.9145907473309609 predictive_accuracy 0.9270462633451957 predictive_accuracy 0.911032028469751 predictive_accuracy 0.9074733096085409 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 0.9110320284697508 [0.981818,0.912281,0.946429,0.775862,0.807018,0.946429,0.946429,0.964286,0.927273,0.910714] recall 0.9128113879003559 [0.963636,0.894737,0.964286,0.913793,0.842105,0.946429,1,0.857143,0.927273,0.821429] recall 0.9110320284697508 [0.963636,0.912281,0.910714,0.877193,0.894737,1,0.964286,0.964912,0.854545,0.767857] recall 0.9039145907473309 [0.945455,0.894737,0.892857,0.894737,0.894737,0.928571,0.982143,0.947368,0.872727,0.785714] recall 0.9074733096085409 [0.927273,0.894737,0.892857,0.929825,0.929825,0.927273,0.928571,0.929825,0.854545,0.859649] recall 0.895017793594306 [0.963636,0.947368,0.875,0.859649,0.859649,0.909091,0.964286,0.912281,0.745455,0.912281] recall 0.9145907473309609 [0.946429,0.912281,0.890909,0.912281,0.947368,0.982143,0.927273,0.947368,0.857143,0.821429] recall 0.9270462633451957 [1,0.894737,0.945455,0.877193,0.877193,0.910714,1,0.964912,0.910714,0.892857] recall 0.9110320284697508 [0.982143,0.948276,0.890909,0.947368,0.928571,0.857143,0.982143,0.946429,0.767857,0.857143] recall 0.9074733096085409 [0.982143,0.947368,0.910714,0.894737,0.910714,0.910714,0.928571,0.875,0.910714,0.803571] relative_absolute_error 0.09885507214313208 relative_absolute_error 0.09687797070026943 relative_absolute_error 0.09885486385244581 relative_absolute_error 0.10676325296064144 relative_absolute_error 0.10280920282131803 relative_absolute_error 0.11664890320111079 relative_absolute_error 0.09490043601384436 relative_absolute_error 0.08106078909515876 relative_absolute_error 0.09885444727370649 relative_absolute_error 0.1028081197203993 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 0.13339263212805202 root_mean_squared_error 0.13205196863329535 root_mean_squared_error 0.13339263212805202 root_mean_squared_error 0.13862568972067837 root_mean_squared_error 0.13603432683808822 root_mean_squared_error 0.14490148819504503 root_mean_squared_error 0.13069755366420532 root_mean_squared_error 0.12079216585093944 root_mean_squared_error 0.13339263212805202 root_mean_squared_error 0.13603432683808822 root_relative_squared_error 0.44464681287812896 root_relative_squared_error 0.4401778872667552 root_relative_squared_error 0.44464587599151445 root_relative_squared_error 0.462089549155964 root_relative_squared_error 0.4534522366236042 root_relative_squared_error 0.48300973320018636 root_relative_squared_error 0.43566113402155154 root_relative_squared_error 0.402642975940812 root_relative_squared_error 0.44464400223605166 root_relative_squared_error 0.45344745949093374 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 59.925999999990154 usercpu_time_millis 58.480000000002974 usercpu_time_millis 59.212000000016474 usercpu_time_millis 65.18300000000465 usercpu_time_millis 60.39400000000228 usercpu_time_millis 59.849999999997294 usercpu_time_millis 60.2439999999973 usercpu_time_millis 60.220999999998526 usercpu_time_millis 57.471999999989976 usercpu_time_millis 57.66499999998587 usercpu_time_millis_testing 0.8820000000042683 usercpu_time_millis_testing 1.241000000007375 usercpu_time_millis_testing 0.8930000000049176 usercpu_time_millis_testing 1.061000000007084 usercpu_time_millis_testing 1.345999999998071 usercpu_time_millis_testing 0.8859999999941692 usercpu_time_millis_testing 0.9000000000014552 usercpu_time_millis_testing 1.082999999994172 usercpu_time_millis_testing 0.8869999999916445 usercpu_time_millis_testing 1.0439999999931615 usercpu_time_millis_training 59.043999999985886 usercpu_time_millis_training 57.2389999999956 usercpu_time_millis_training 58.319000000011556 usercpu_time_millis_training 64.12199999999757 usercpu_time_millis_training 59.04800000000421 usercpu_time_millis_training 58.964000000003125 usercpu_time_millis_training 59.343999999995845 usercpu_time_millis_training 59.138000000004354 usercpu_time_millis_training 56.58499999999833 usercpu_time_millis_training 56.620999999992705