10398517 9667 Sila Guler 146825 Supervised Classification 17292 sklearn.ensemble.forest.RandomForestClassifier(57) 8236286 bootstrap true 17292 class_weight null 17292 criterion "gini" 17292 max_depth 9 17292 max_features "auto" 17292 max_leaf_nodes null 17292 min_impurity_decrease 0.0 17292 min_impurity_split null 17292 min_samples_leaf 1 17292 min_samples_split 2 17292 min_weight_fraction_leaf 0.0 17292 n_estimators 7 17292 n_jobs null 17292 oob_score false 17292 random_state 64681 17292 verbose 0 17292 warm_start false 17292 openml-python Sklearn_0.21.3. 40996 Fashion-MNIST https://www.openml.org/data/download/18238735/phpnBqZGZ -1 21718789 description https://api.openml.org/data/download/21718789/description.xml -1 21718790 predictions https://api.openml.org/data/download/21718790/predictions.arff area_under_roc_curve 0.9827198716553288 [0.983166,0.997229,0.969237,0.988286,0.969135,0.996793,0.935706,0.99488,0.996048,0.996718] average_cost 0 f_measure 0.8277263453923057 [0.799779,0.963305,0.710656,0.840142,0.717061,0.932393,0.549016,0.89556,0.949039,0.920311] kappa 0.8121904761904762 kb_relative_information_score 0.7853251550653481 mean_absolute_error 0.06213849957574261 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.8311996172817494 [0.774168,0.990492,0.702232,0.791956,0.667076,0.960048,0.688726,0.879702,0.945674,0.911921] predictive_accuracy 0.8309714285714286 prior_entropy 3.321928094891228 recall 0.8309714285714286 [0.827143,0.937571,0.719286,0.894571,0.775143,0.906286,0.456429,0.912,0.952429,0.928857] relative_absolute_error 0.34521388653157126 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.15969553464565825 root_relative_squared_error 0.5323184488186048 total_cost 0 area_under_roc_curve 0.982398775510204 [0.985029,0.996001,0.966507,0.987415,0.965623,0.995683,0.941454,0.994841,0.995725,0.995709] area_under_roc_curve 0.9825997732426305 [0.982603,0.998197,0.96813,0.987448,0.966845,0.997067,0.937403,0.995283,0.995931,0.997089] area_under_roc_curve 0.9822917460317461 [0.981645,0.997322,0.96935,0.988632,0.969327,0.998091,0.929805,0.996428,0.995904,0.996413] area_under_roc_curve 0.9836281519274378 [0.984848,0.998344,0.973464,0.987123,0.972194,0.995972,0.936967,0.994255,0.996506,0.996609] area_under_roc_curve 0.983129716553288 [0.980461,0.99838,0.969114,0.990227,0.969763,0.99765,0.936631,0.994535,0.997573,0.996962] area_under_roc_curve 0.9829380272108845 [0.982319,0.99651,0.969641,0.987512,0.970041,0.996885,0.938987,0.995138,0.994931,0.997416] area_under_roc_curve 0.9836557482993198 [0.987024,0.997588,0.968788,0.987991,0.970732,0.997323,0.938859,0.995219,0.996051,0.996982] area_under_roc_curve 0.9814408956916101 [0.98249,0.997841,0.964526,0.988687,0.965526,0.996102,0.933372,0.993748,0.995746,0.99637] area_under_roc_curve 0.9831842403628118 [0.980557,0.994615,0.974336,0.99038,0.972918,0.996726,0.93369,0.994232,0.997446,0.996941] area_under_roc_curve 0.9824388888888889 [0.985132,0.997731,0.969152,0.98797,0.969486,0.996563,0.931266,0.995344,0.994827,0.996919] 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 0.8254411524686491 [0.81203,0.957871,0.707198,0.834887,0.701522,0.932551,0.542432,0.893557,0.947969,0.924394] f_measure 0.8276149631536839 [0.794219,0.965517,0.708807,0.829009,0.705017,0.935766,0.558574,0.906294,0.949104,0.923843] f_measure 0.8257277119390567 [0.785814,0.969388,0.703757,0.834551,0.720579,0.938001,0.513652,0.905396,0.95584,0.930299] f_measure 0.8297914359998864 [0.806158,0.963289,0.726508,0.840347,0.723658,0.935578,0.557823,0.887482,0.93892,0.918149] f_measure 0.8301416236152931 [0.788555,0.966276,0.698678,0.851178,0.72,0.945588,0.572183,0.894251,0.95218,0.912526] f_measure 0.8273905668657298 [0.796143,0.960886,0.709025,0.827169,0.72129,0.922287,0.565553,0.895397,0.953405,0.92275] f_measure 0.8300630641012049 [0.828311,0.964207,0.713699,0.84052,0.71039,0.934718,0.548951,0.897275,0.944365,0.918195] f_measure 0.8222080737329601 [0.790244,0.967177,0.691376,0.837675,0.711436,0.918562,0.559933,0.881857,0.954089,0.909732] f_measure 0.8270350782044864 [0.77973,0.954412,0.738044,0.856759,0.732226,0.928571,0.519931,0.887029,0.951443,0.922207] f_measure 0.8319023651915913 [0.816882,0.963891,0.709408,0.849629,0.724559,0.932253,0.55102,0.907042,0.943101,0.921238] kappa 0.8098412698412698 kappa 0.8115873015873015 kappa 0.8107936507936508 kappa 0.8141269841269841 kappa 0.8149206349206349 kappa 0.8112698412698414 kappa 0.8146031746031747 kappa 0.8053968253968253 kappa 0.8125396825396826 kappa 0.8168253968253969 kb_relative_information_score 0.7867590542752135 kb_relative_information_score 0.7849274769924897 kb_relative_information_score 0.7862485296758982 kb_relative_information_score 0.7867823219885137 kb_relative_information_score 0.7857062669670992 kb_relative_information_score 0.7839700555882758 kb_relative_information_score 0.7878468487129708 kb_relative_information_score 0.7780631587844331 kb_relative_information_score 0.7864529159911412 kb_relative_information_score 0.7864949216873023 mean_absolute_error 0.06162445123916344 mean_absolute_error 0.062105202430469346 mean_absolute_error 0.06174431640433135 mean_absolute_error 0.061999078429803935 mean_absolute_error 0.062453240462444895 mean_absolute_error 0.06264910913061987 mean_absolute_error 0.061797562884256585 mean_absolute_error 0.06336555250577569 mean_absolute_error 0.06199671205539912 mean_absolute_error 0.06164977021514587 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] precision 0.8301363170621514 [0.778506,0.992343,0.692202,0.781796,0.653514,0.957831,0.699774,0.876374,0.945946,0.923077] precision 0.8308020252682516 [0.766268,0.992459,0.704802,0.775841,0.662893,0.956716,0.688285,0.887671,0.952518,0.920567] precision 0.8278794130525716 [0.765583,0.989583,0.711988,0.780124,0.667479,0.958271,0.637712,0.888583,0.953125,0.926346] precision 0.8329681208762695 [0.790123,0.990937,0.713499,0.78921,0.674907,0.959459,0.689076,0.873961,0.933616,0.914894] precision 0.8355244347667791 [0.770805,0.99247,0.68114,0.805096,0.665455,0.974242,0.745413,0.888575,0.937673,0.894376] precision 0.8319427089317014 [0.768617,0.993893,0.716788,0.781449,0.657647,0.947289,0.706638,0.874659,0.956835,0.915612] precision 0.8350410423424646 [0.81293,0.986547,0.685526,0.806833,0.65119,0.972222,0.707207,0.878249,0.94302,0.906685] precision 0.824817035426988 [0.771429,0.988077,0.6899,0.7867,0.665423,0.944193,0.677485,0.868421,0.958213,0.898329] precision 0.8301443615671729 [0.739744,0.983333,0.737518,0.809403,0.684472,0.968944,0.660793,0.866485,0.937587,0.913165] precision 0.8346123541612814 [0.780234,0.995434,0.692517,0.804598,0.689922,0.962006,0.680672,0.894444,0.939093,0.907202] predictive_accuracy 0.8288571428571428 predictive_accuracy 0.8304285714285714 predictive_accuracy 0.8297142857142857 predictive_accuracy 0.8327142857142857 predictive_accuracy 0.8334285714285714 predictive_accuracy 0.8301428571428572 predictive_accuracy 0.8331428571428572 predictive_accuracy 0.8248571428571428 predictive_accuracy 0.8312857142857143 predictive_accuracy 0.8351428571428572 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 recall 0.8288571428571428 [0.848571,0.925714,0.722857,0.895714,0.757143,0.908571,0.442857,0.911429,0.95,0.925714] recall 0.8304285714285714 [0.824286,0.94,0.712857,0.89,0.752857,0.915714,0.47,0.925714,0.945714,0.927143] recall 0.8297142857142857 [0.807143,0.95,0.695714,0.897143,0.782857,0.918571,0.43,0.922857,0.958571,0.934286] recall 0.8327142857142857 [0.822857,0.937143,0.74,0.898571,0.78,0.912857,0.468571,0.901429,0.944286,0.921429] recall 0.8334285714285714 [0.807143,0.941429,0.717143,0.902857,0.784286,0.918571,0.464286,0.9,0.967143,0.931429] recall 0.8301428571428572 [0.825714,0.93,0.701429,0.878571,0.798571,0.898571,0.471429,0.917143,0.95,0.93] recall 0.8331428571428572 [0.844286,0.942857,0.744286,0.877143,0.781429,0.9,0.448571,0.917143,0.945714,0.93] recall 0.8248571428571428 [0.81,0.947143,0.692857,0.895714,0.764286,0.894286,0.477143,0.895714,0.95,0.921429] recall 0.8312857142857143 [0.824286,0.927143,0.738571,0.91,0.787143,0.891429,0.428571,0.908571,0.965714,0.931429] recall 0.8351428571428572 [0.857143,0.934286,0.727143,0.9,0.762857,0.904286,0.462857,0.92,0.947143,0.935714] relative_absolute_error 0.3423580624398083 relative_absolute_error 0.3450289023915078 relative_absolute_error 0.3430239800240744 relative_absolute_error 0.3444393246100333 relative_absolute_error 0.34696244701359424 relative_absolute_error 0.3480506062812331 relative_absolute_error 0.34331979380143685 relative_absolute_error 0.35203084725432104 relative_absolute_error 0.3444261780855621 relative_absolute_error 0.3424987234174884 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_squared_error 0.1593705301256748 root_mean_squared_error 0.15960245086327554 root_mean_squared_error 0.15904939214242222 root_mean_squared_error 0.1590652789188605 root_mean_squared_error 0.15975064673238693 root_mean_squared_error 0.16037305812983937 root_mean_squared_error 0.15857775671691882 root_mean_squared_error 0.16215317920544384 root_mean_squared_error 0.15986479752118313 root_mean_squared_error 0.15911995073367569 root_relative_squared_error 0.5312351004189247 root_relative_squared_error 0.5320081695442606 root_relative_squared_error 0.5301646404747494 root_relative_squared_error 0.5302175963962104 root_relative_squared_error 0.5325021557746319 root_relative_squared_error 0.5345768604328067 root_relative_squared_error 0.5285925223897381 root_relative_squared_error 0.5405105973514883 root_relative_squared_error 0.5328826584039525 root_relative_squared_error 0.5303998357789277 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 3046.875 usercpu_time_millis 3031.25 usercpu_time_millis 3078.125 usercpu_time_millis 3062.5 usercpu_time_millis 3062.5 usercpu_time_millis 3046.875 usercpu_time_millis 3031.25 usercpu_time_millis 3125 usercpu_time_millis 3031.25 usercpu_time_millis 3046.875 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 3031.25 usercpu_time_millis_training 3015.625 usercpu_time_millis_training 3062.5 usercpu_time_millis_training 3046.875 usercpu_time_millis_training 3046.875 usercpu_time_millis_training 3031.25 usercpu_time_millis_training 3015.625 usercpu_time_millis_training 3109.375 usercpu_time_millis_training 3015.625 usercpu_time_millis_training 3031.25 wall_clock_time_millis 3047.9001998901367 wall_clock_time_millis 3036.88907623291 wall_clock_time_millis 3086.793899536133 wall_clock_time_millis 3059.7894191741943 wall_clock_time_millis 3065.812110900879 wall_clock_time_millis 3043.872356414795 wall_clock_time_millis 3041.8753623962402 wall_clock_time_millis 3126.649856567383 wall_clock_time_millis 3025.91609954834 wall_clock_time_millis 3062.8178119659424 wall_clock_time_millis_testing 15.996932983398438 wall_clock_time_millis_testing 15.957832336425781 wall_clock_time_millis_testing 15.96832275390625 wall_clock_time_millis_testing 15.957117080688477 wall_clock_time_millis_testing 15.95759391784668 wall_clock_time_millis_testing 15.957832336425781 wall_clock_time_millis_testing 15.930414199829102 wall_clock_time_millis_testing 15.956878662109375 wall_clock_time_millis_testing 15.945911407470703 wall_clock_time_millis_testing 15.929698944091797 wall_clock_time_millis_training 3031.9032669067383 wall_clock_time_millis_training 3020.9312438964844 wall_clock_time_millis_training 3070.8255767822266 wall_clock_time_millis_training 3043.832302093506 wall_clock_time_millis_training 3049.854516983032 wall_clock_time_millis_training 3027.914524078369 wall_clock_time_millis_training 3025.944948196411 wall_clock_time_millis_training 3110.6929779052734 wall_clock_time_millis_training 3009.970188140869 wall_clock_time_millis_training 3046.8881130218506