10588205 32117 VAIBHAV JAISWAL 18 Supervised Classification 19165 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1) 8304104 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 19165 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"}}] 19165 verbose false 19165 C 1.0 19166 break_ties false 19166 cache_size 200 19166 class_weight null 19166 coef0 0.0 19166 decision_function_shape "ovr" 19166 degree 3 19166 gamma "scale" 19166 kernel "rbf" 19166 max_iter -1 19166 probability false 19166 random_state 0 19166 shrinking true 19166 tol 0.001 19166 verbose false 19166 openml-python Sklearn_1.0.2. 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 22103977 description https://api.openml.org/data/download/22103977/description.xml -1 22103978 predictions https://api.openml.org/data/download/22103978/predictions.arff area_under_roc_curve 0.5125 [0.9925,0.430278,0.489167,0.534722,0.459722,0.444722,0.426667,0.446111,0.455,0.446111] average_cost 0 f_measure 0.1245185646225954 [0.992443,0,0.066852,0.161039,0,0,0,0,0.0199,0.00495] kappa 0.02499999999999999 kb_relative_information_score 0.08234780203301158 mean_absolute_error 0.17549999999999433 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.1225 [0.985,0,0.06,0.155,0,0,0,0,0.02,0.005] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.12677432066631086 [1,0,0.075472,0.167568,0,0,0,0,0.019802,0.004902] predictive_accuracy 0.1225 prior_entropy 3.3219280948872383 relative_absolute_error 0.9749999999999385 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.41892720131306144 root_relative_squared_error 1.39642400437685 total_cost 0 unweighted_recall 0.12249999999999998 [0.985,0,0.06,0.155,0,0,0,0,0.02,0.005] area_under_roc_curve 0.5083333333333332 [0.975,0.438889,0.488889,0.533333,0.447222,0.408333,0.419444,0.444444,0.486111,0.441667] area_under_roc_curve 0.5166666666666666 [1,0.427778,0.488889,0.561111,0.472222,0.45,0.416667,0.447222,0.463889,0.438889] area_under_roc_curve 0.5083333333333334 [0.975,0.416667,0.45,0.552778,0.466667,0.461111,0.444444,0.444444,0.433333,0.438889] area_under_roc_curve 0.5138888888888888 [1,0.436111,0.502778,0.527778,0.447222,0.447222,0.422222,0.447222,0.463889,0.444444] area_under_roc_curve 0.5138888888888888 [1,0.444444,0.5,0.536111,0.463889,0.433333,0.419444,0.444444,0.455556,0.441667] area_under_roc_curve 0.5083333333333333 [1,0.436111,0.525,0.463889,0.45,0.425,0.427778,0.444444,0.463889,0.447222] area_under_roc_curve 0.5055555555555555 [0.975,0.422222,0.452778,0.527778,0.461111,0.475,0.436111,0.444444,0.419444,0.441667] area_under_roc_curve 0.5083333333333333 [1,0.427778,0.455556,0.536111,0.463889,0.436111,0.419444,0.45,0.447222,0.447222] area_under_roc_curve 0.5194444444444444 [1,0.436111,0.513889,0.55,0.463889,0.455556,0.422222,0.444444,0.436111,0.472222] area_under_roc_curve 0.5222222222222223 [1,0.416667,0.513889,0.558333,0.461111,0.455556,0.438889,0.45,0.480556,0.447222] 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 0.11910772406128442 [0.974359,0,0.058824,0.157895,0,0,0,0,0,0] f_measure 0.13158614731082152 [1,0,0.058824,0.210526,0,0,0,0,0.046512,0] f_measure 0.11694809255784865 [0.974359,0,0,0.195122,0,0,0,0,0,0] f_measure 0.12654771451483562 [1,0,0.068966,0.15,0,0,0,0,0.046512,0] f_measure 0.1262162162162162 [1,0,0.1,0.162162,0,0,0,0,0,0] f_measure 0.1146341463414634 [1,0,0.146341,0,0,0,0,0,0,0] f_measure 0.11243589743589742 [0.974359,0,0,0.15,0,0,0,0,0,0] f_measure 0.11621621621621621 [1,0,0,0.162162,0,0,0,0,0,0] f_measure 0.13547619047619047 [1,0,0.114286,0.190476,0,0,0,0,0,0.05] f_measure 0.14045203023926428 [1,0,0.114286,0.205128,0,0,0,0,0.085106,0] kappa 0.016666666666666666 kappa 0.03333333333333333 kappa 0.016666666666666666 kappa 0.02777777777777777 kappa 0.02777777777777777 kappa 0.016666666666666666 kappa 0.011111111111111105 kappa 0.016666666666666666 kappa 0.03888888888888889 kappa 0.04444444444444445 kb_relative_information_score 0.07450462085380229 kb_relative_information_score 0.0901909832122132 kb_relative_information_score 0.0745046208538022 kb_relative_information_score 0.08496219575940947 kb_relative_information_score 0.08496219575940954 kb_relative_information_score 0.07450462085380237 kb_relative_information_score 0.06927583340099874 kb_relative_information_score 0.0745046208538022 kb_relative_information_score 0.09541977066501682 kb_relative_information_score 0.10064855811782034 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17399999999999977 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.1749999999999998 mean_absolute_error 0.1749999999999998 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17199999999999974 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] precision 0.1238095238095238 [1,0,0.071429,0.166667,0,0,0,0,0,0] precision 0.1337129054520359 [1,0,0.071429,0.222222,0,0,0,0,0.043478,0] precision 0.11904761904761905 [1,0,0,0.190476,0,0,0,0,0,0] precision 0.13045893719806764 [1,0,0.111111,0.15,0,0,0,0,0.043478,0] precision 0.12764705882352942 [1,0,0.1,0.176471,0,0,0,0,0,0] precision 0.11428571428571428 [1,0,0.142857,0,0,0,0,0,0,0] precision 0.115 [1,0,0,0.15,0,0,0,0,0,0] precision 0.11764705882352942 [1,0,0,0.176471,0,0,0,0,0,0] precision 0.13651515151515153 [1,0,0.133333,0.181818,0,0,0,0,0,0.05] precision 0.1417933723196881 [1,0,0.133333,0.210526,0,0,0,0,0.074074,0] predictive_accuracy 0.115 predictive_accuracy 0.13 predictive_accuracy 0.115 predictive_accuracy 0.125 predictive_accuracy 0.125 predictive_accuracy 0.115 predictive_accuracy 0.11 predictive_accuracy 0.115 predictive_accuracy 0.135 predictive_accuracy 0.14 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 0.9833333333333334 relative_absolute_error 0.9666666666666665 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9722222222222221 relative_absolute_error 0.9722222222222221 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9555555555555552 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 0.42071367935925236 root_mean_squared_error 0.4171330722922839 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.4183300132670375 root_mean_squared_error 0.4183300132670375 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.41593268686170815 root_mean_squared_error 0.4147288270665541 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.3904435743076138 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.3944333775567928 root_relative_squared_error 1.3944333775567928 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.3824294235551813 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 0.11499999999999999 [0.95,0,0.05,0.15,0,0,0,0,0,0] unweighted_recall 0.13 [1,0,0.05,0.2,0,0,0,0,0.05,0] unweighted_recall 0.11499999999999999 [0.95,0,0,0.2,0,0,0,0,0,0] unweighted_recall 0.125 [1,0,0.05,0.15,0,0,0,0,0.05,0] unweighted_recall 0.125 [1,0,0.1,0.15,0,0,0,0,0,0] unweighted_recall 0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0] unweighted_recall 0.10999999999999999 [0.95,0,0,0.15,0,0,0,0,0,0] unweighted_recall 0.11499999999999999 [1,0,0,0.15,0,0,0,0,0,0] unweighted_recall 0.135 [1,0,0.1,0.2,0,0,0,0,0,0.05] unweighted_recall 0.14 [1,0,0.1,0.2,0,0,0,0,0.1,0] usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 62.5 usercpu_time_millis_training 46.875 usercpu_time_millis_training 62.5 wall_clock_time_millis 78.95255088806152 wall_clock_time_millis 82.95083045959473 wall_clock_time_millis 86.95101737976074 wall_clock_time_millis 80.95097541809082 wall_clock_time_millis 84.94949340820312 wall_clock_time_millis 81.95185661315918 wall_clock_time_millis 79.95319366455078 wall_clock_time_millis 93.92189979553223 wall_clock_time_millis 81.95185661315918 wall_clock_time_millis 81.95114135742188 wall_clock_time_millis_testing 29.9837589263916 wall_clock_time_millis_testing 31.002283096313477 wall_clock_time_millis_testing 35.95924377441406 wall_clock_time_millis_testing 29.982566833496094 wall_clock_time_millis_testing 32.00197219848633 wall_clock_time_millis_testing 29.982566833496094 wall_clock_time_millis_testing 28.98406982421875 wall_clock_time_millis_testing 38.9559268951416 wall_clock_time_millis_testing 29.982566833496094 wall_clock_time_millis_testing 29.98185157775879 wall_clock_time_millis_training 48.96879196166992 wall_clock_time_millis_training 51.94854736328125 wall_clock_time_millis_training 50.99177360534668 wall_clock_time_millis_training 50.96840858459473 wall_clock_time_millis_training 52.9475212097168 wall_clock_time_millis_training 51.969289779663086 wall_clock_time_millis_training 50.96912384033203 wall_clock_time_millis_training 54.965972900390625 wall_clock_time_millis_training 51.969289779663086 wall_clock_time_millis_training 51.969289779663086 weighted_recall 0.115 [0.95,0,0.05,0.15,0,0,0,0,0,0] weighted_recall 0.13 [1,0,0.05,0.2,0,0,0,0,0.05,0] weighted_recall 0.115 [0.95,0,0,0.2,0,0,0,0,0,0] weighted_recall 0.125 [1,0,0.05,0.15,0,0,0,0,0.05,0] weighted_recall 0.125 [1,0,0.1,0.15,0,0,0,0,0,0] weighted_recall 0.115 [1,0,0.15,0,0,0,0,0,0,0] weighted_recall 0.11 [0.95,0,0,0.15,0,0,0,0,0,0] weighted_recall 0.115 [1,0,0,0.15,0,0,0,0,0,0] weighted_recall 0.135 [1,0,0.1,0.2,0,0,0,0,0,0.05] weighted_recall 0.14 [1,0,0.1,0.2,0,0,0,0,0.1,0]