10588204 32117 VAIBHAV JAISWAL 18 Supervised Classification 19163 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1) 8304081 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19163 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19163 verbose false 19163 priors null 19164 var_smoothing 1e-09 19164 openml-python Sklearn_1.0.2. 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 22103975 description https://api.openml.org/data/download/22103975/description.xml -1 22103976 predictions https://api.openml.org/data/download/22103976/predictions.arff area_under_roc_curve 0.5256758333333333 [0.994706,0.486331,0.741986,0.734797,0.656828,0.141336,0.170358,0.423806,0.546578,0.360033] average_cost 0 kappa 0.017222222222222222 kb_relative_information_score 0.09175018514538971 mean_absolute_error 0.1750679615780684 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.1155 [0.985,0,0.115,0.02,0,0,0,0,0.03,0.005] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.1155 prior_entropy 3.3219280948872383 relative_absolute_error 0.9725997865447944 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.39875526214622503 root_relative_squared_error 1.3291842071540632 total_cost 0 unweighted_recall 0.1155 [0.985,0,0.115,0.02,0,0,0,0,0.03,0.005] area_under_roc_curve 0.5323055555555556 [0.982778,0.459444,0.707222,0.747222,0.653056,0.103056,0.158333,0.448056,0.613889,0.45] area_under_roc_curve 0.5251527777777778 [1,0.475833,0.753333,0.751944,0.661667,0.082222,0.166667,0.420833,0.558056,0.380972] area_under_roc_curve 0.5215416666666666 [0.983333,0.471389,0.683611,0.745833,0.658056,0.130278,0.193333,0.445278,0.542222,0.362083] area_under_roc_curve 0.5220694444444445 [1,0.491944,0.73,0.741389,0.66,0.070278,0.169444,0.435556,0.535,0.387083] area_under_roc_curve 0.5265277777777778 [1,0.489167,0.733889,0.754444,0.701111,0.091389,0.166667,0.396111,0.5625,0.37] area_under_roc_curve 0.5211527777777777 [1,0.520278,0.776111,0.633333,0.645,0.097778,0.166667,0.422778,0.555,0.394583] area_under_roc_curve 0.5247916666666667 [0.985,0.484444,0.720278,0.708611,0.656111,0.129444,0.181111,0.450833,0.520278,0.411806] area_under_roc_curve 0.5256527777777777 [1,0.471389,0.744167,0.745833,0.650278,0.083333,0.166667,0.437778,0.596667,0.360417] area_under_roc_curve 0.538125 [1,0.508889,0.825278,0.7325,0.64375,0.081111,0.166667,0.438333,0.5675,0.417222] area_under_roc_curve 0.5180277777777778 [1,0.479167,0.744167,0.786389,0.642778,0.071389,0.169444,0.433333,0.684167,0.169444] 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 kappa 0.005555555555555545 kappa 0.02222222222222221 kappa -0.00555555555555556 kappa 0.016666666666666666 kappa 0.016666666666666666 kappa 0.016666666666666666 kappa 0.011111111111111105 kappa 0.011111111111111105 kappa 0.05555555555555554 kappa 0.02222222222222221 kb_relative_information_score 0.07743042101650721 kb_relative_information_score 0.09045064985438607 kb_relative_information_score 0.07825880330875484 kb_relative_information_score 0.08444902349162874 kb_relative_information_score 0.08920195146540362 kb_relative_information_score 0.0947747748256988 kb_relative_information_score 0.08371020688581804 kb_relative_information_score 0.09621021091362404 kb_relative_information_score 0.12494694186275022 kb_relative_information_score 0.09806886782928938 mean_absolute_error 0.17734260364637017 mean_absolute_error 0.17537769038304535 mean_absolute_error 0.1774325434110014 mean_absolute_error 0.17595817582192744 mean_absolute_error 0.17521575441315437 mean_absolute_error 0.17473993010652505 mean_absolute_error 0.17671896223177264 mean_absolute_error 0.17416466620685064 mean_absolute_error 0.16965340577216964 mean_absolute_error 0.17407588378790328 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] predictive_accuracy 0.105 predictive_accuracy 0.12 predictive_accuracy 0.095 predictive_accuracy 0.115 predictive_accuracy 0.115 predictive_accuracy 0.115 predictive_accuracy 0.11 predictive_accuracy 0.11 predictive_accuracy 0.15 predictive_accuracy 0.12 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.9852366869242798 relative_absolute_error 0.9743205021280308 relative_absolute_error 0.9857363522833422 relative_absolute_error 0.9775454212329313 relative_absolute_error 0.9734208578508587 relative_absolute_error 0.9707773894806959 relative_absolute_error 0.9817720123987379 relative_absolute_error 0.9675814789269491 relative_absolute_error 0.942518920956499 relative_absolute_error 0.9670882432661305 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.3986914767815732 root_mean_squared_error 0.3992766251646499 root_mean_squared_error 0.4020367100399219 root_mean_squared_error 0.4000211996610034 root_mean_squared_error 0.39944789991251783 root_mean_squared_error 0.3991485874314824 root_mean_squared_error 0.4047125818620735 root_mean_squared_error 0.3971144698108645 root_mean_squared_error 0.3889827390169534 root_mean_squared_error 0.3979352089689044 root_relative_squared_error 1.3289715892719114 root_relative_squared_error 1.3309220838821672 root_relative_squared_error 1.3401223667997406 root_relative_squared_error 1.3334039988700122 root_relative_squared_error 1.3314929997083933 root_relative_squared_error 1.3304952914382755 root_relative_squared_error 1.3490419395402458 root_relative_squared_error 1.3237148993695493 root_relative_squared_error 1.2966091300565123 root_relative_squared_error 1.3264506965630156 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 0.10500000000000001 [0.95,0,0.1,0,0,0,0,0,0,0] unweighted_recall 0.12 [1,0,0.15,0,0,0,0,0,0.05,0] unweighted_recall 0.095 [0.95,0,0,0,0,0,0,0,0,0] unweighted_recall 0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0] unweighted_recall 0.11500000000000002 [1,0,0.1,0,0,0,0,0,0.05,0] unweighted_recall 0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0] unweighted_recall 0.10999999999999999 [0.95,0,0.15,0,0,0,0,0,0,0] unweighted_recall 0.11000000000000001 [1,0,0,0,0,0,0,0,0.1,0] unweighted_recall 0.15 [1,0,0.2,0.2,0,0,0,0,0.05,0.05] unweighted_recall 0.12 [1,0,0.15,0,0,0,0,0,0.05,0] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 18.024206161499023 wall_clock_time_millis 17.989397048950195 wall_clock_time_millis 16.99042320251465 wall_clock_time_millis 9.993791580200195 wall_clock_time_millis 4.997730255126953 wall_clock_time_millis 4.997730255126953 wall_clock_time_millis 4.996776580810547 wall_clock_time_millis 4.997491836547852 wall_clock_time_millis 4.997730255126953 wall_clock_time_millis 4.99725341796875 wall_clock_time_millis_testing 3.996133804321289 wall_clock_time_millis_testing 3.0226707458496094 wall_clock_time_millis_testing 3.997325897216797 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 0.9982585906982422 wall_clock_time_millis_testing 1.0008811950683594 wall_clock_time_millis_testing 0.9999275207519531 wall_clock_time_millis_testing 0.9992122650146484 wall_clock_time_millis_testing 1.0001659393310547 wall_clock_time_millis_testing 0.9984970092773438 wall_clock_time_millis_training 14.028072357177734 wall_clock_time_millis_training 14.966726303100586 wall_clock_time_millis_training 12.993097305297852 wall_clock_time_millis_training 7.993936538696289 wall_clock_time_millis_training 3.999471664428711 wall_clock_time_millis_training 3.9968490600585938 wall_clock_time_millis_training 3.9968490600585938 wall_clock_time_millis_training 3.998279571533203 wall_clock_time_millis_training 3.9975643157958984 wall_clock_time_millis_training 3.9987564086914062 weighted_recall 0.105 [0.95,0,0.1,0,0,0,0,0,0,0] weighted_recall 0.12 [1,0,0.15,0,0,0,0,0,0.05,0] weighted_recall 0.095 [0.95,0,0,0,0,0,0,0,0,0] weighted_recall 0.115 [1,0,0.15,0,0,0,0,0,0,0] weighted_recall 0.115 [1,0,0.1,0,0,0,0,0,0.05,0] weighted_recall 0.115 [1,0,0.15,0,0,0,0,0,0,0] weighted_recall 0.11 [0.95,0,0.15,0,0,0,0,0,0,0] weighted_recall 0.11 [1,0,0,0,0,0,0,0,0.1,0] weighted_recall 0.15 [1,0,0.2,0.2,0,0,0,0,0.05,0.05] weighted_recall 0.12 [1,0,0.15,0,0,0,0,0,0.05,0]