10588225 32117 VAIBHAV JAISWAL 18 Supervised Classification 19168 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8304106 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 19168 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"}}] 19168 verbose false 19168 algorithm "SAMME.R" 19169 base_estimator null 19169 learning_rate 1.0 19169 n_estimators 50 19169 random_state 0 19169 openml-python Sklearn_1.0.2. 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 22104017 description https://api.openml.org/data/download/22104017/description.xml -1 22104018 predictions https://api.openml.org/data/download/22104018/predictions.arff area_under_roc_curve 0.4836174999999999 [0.788428,0.260599,0.707117,0.704401,0.70804,0.239818,0.181267,0.270528,0.772322,0.203656] average_cost 0 kappa -0.07944444444444446 kb_relative_information_score 0.08282800904420645 mean_absolute_error 0.18105000943451405 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.0285 [0,0,0.095,0.095,0.09,0,0,0,0.005,0] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.0285 prior_entropy 3.3219280948872383 relative_absolute_error 1.0058333857472692 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.31494124993320893 root_relative_squared_error 1.0498041664440136 total_cost 0 unweighted_recall 0.028500000000000004 [0,0,0.095,0.095,0.09,0,0,0,0.005,0] area_under_roc_curve 0.4951666666666666 [0.827917,0.272222,0.672778,0.705139,0.7,0.24875,0.167639,0.272222,0.844444,0.240556] area_under_roc_curve 0.4946111111111111 [0.805556,0.261111,0.738889,0.711111,0.705556,0.244444,0.173889,0.261111,0.838889,0.205556] area_under_roc_curve 0.5005555555555555 [0.808472,0.283333,0.699583,0.716667,0.711111,0.288889,0.18625,0.283333,0.841667,0.18625] area_under_roc_curve 0.4818333333333334 [0.794444,0.255556,0.678611,0.722361,0.705556,0.195278,0.166667,0.255556,0.833333,0.210972] area_under_roc_curve 0.4888888888888889 [0.811111,0.266667,0.711111,0.716667,0.711111,0.238889,0.166667,0.266667,0.833333,0.166667] area_under_roc_curve 0.48611111111111105 [0.805556,0.263889,0.708333,0.736111,0.708333,0.208333,0.166667,0.263889,0.833333,0.166667] area_under_roc_curve 0.36238888888888887 [0.136944,0.296944,0.734861,0.557083,0.744167,0.225,0.285,0.291667,0.115278,0.236944] area_under_roc_curve 0.48333333333333334 [0.8,0.261111,0.705556,0.738889,0.705556,0.194444,0.166667,0.261111,0.833333,0.166667] area_under_roc_curve 0.49005555555555547 [0.813889,0.266667,0.711111,0.716389,0.694861,0.238889,0.163889,0.266667,0.836111,0.192083] area_under_roc_curve 0.49069444444444443 [0.813889,0.280139,0.713889,0.725,0.713889,0.22,0.163889,0.263889,0.836111,0.17625] 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 -0.11111111111111112 kappa -0.11111111111111112 kappa -0.00555555555555556 kappa -0.11111111111111112 kappa -0.11111111111111112 kappa -0.11111111111111112 kappa -0.00555555555555556 kappa -0.11111111111111112 kappa -0.00555555555555556 kappa -0.11111111111111112 kb_relative_information_score 0.09346926985975447 kb_relative_information_score 0.09445008114724601 kb_relative_information_score 0.09216462232328812 kb_relative_information_score 0.08919196444655375 kb_relative_information_score 0.09031948445209892 kb_relative_information_score 0.08995812018532133 kb_relative_information_score 0.007540795608439295 kb_relative_information_score 0.08940138148941022 kb_relative_information_score 0.09061842968230764 kb_relative_information_score 0.0911659412476162 mean_absolute_error 0.17960298880343956 mean_absolute_error 0.17959227855328613 mean_absolute_error 0.1796221754414827 mean_absolute_error 0.18036628123700157 mean_absolute_error 0.1800610972154811 mean_absolute_error 0.18016570171353624 mean_absolute_error 0.19090464060359125 mean_absolute_error 0.18028119957402988 mean_absolute_error 0.1799692786039035 mean_absolute_error 0.17993445259937776 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 predictive_accuracy 0 predictive_accuracy 0.095 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0.095 predictive_accuracy 0 predictive_accuracy 0.095 predictive_accuracy 0 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 0.997794382241332 relative_absolute_error 0.9977348808515907 relative_absolute_error 0.997900974674905 relative_absolute_error 1.0020348957611211 relative_absolute_error 1.0003394289748961 relative_absolute_error 1.0009205650752024 relative_absolute_error 1.0605813366866192 relative_absolute_error 1.0015622198557228 relative_absolute_error 0.9998293255772428 relative_absolute_error 0.999635847774322 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 0.3089309355778421 root_mean_squared_error 0.30914848221927693 root_mean_squared_error 0.3086797923281756 root_mean_squared_error 0.3106140299692083 root_mean_squared_error 0.30981968996693027 root_mean_squared_error 0.31008730689147773 root_mean_squared_error 0.3590725911446785 root_mean_squared_error 0.3103722420381514 root_mean_squared_error 0.30961836011510446 root_mean_squared_error 0.30957156010853976 root_relative_squared_error 1.0297697852594743 root_relative_squared_error 1.0304949407309236 root_relative_squared_error 1.0289326410939195 root_relative_squared_error 1.0353800998973615 root_relative_squared_error 1.0327322998897683 root_relative_squared_error 1.0336243563049263 root_relative_squared_error 1.196908637148929 root_relative_squared_error 1.034574140127172 root_relative_squared_error 1.0320612003836822 root_relative_squared_error 1.0319052003617997 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 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0.095 [0,0,0.95,0,0,0,0,0,0,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0.095 [0,0,0,0,0.9,0,0,0,0.05,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] unweighted_recall 0.095 [0,0,0,0.95,0,0,0,0,0,0] unweighted_recall 0 [0,0,0,0,0,0,0,0,0,0] usercpu_time_millis 187.5 usercpu_time_millis 156.25 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 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 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 171.875 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 171.875 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 wall_clock_time_millis 180.89580535888672 wall_clock_time_millis 169.90160942077637 wall_clock_time_millis 170.90106010437012 wall_clock_time_millis 165.90332984924316 wall_clock_time_millis 171.90051078796387 wall_clock_time_millis 171.87738418579102 wall_clock_time_millis 166.88227653503418 wall_clock_time_millis 173.90155792236328 wall_clock_time_millis 172.89972305297852 wall_clock_time_millis 171.9207763671875 wall_clock_time_millis_testing 12.989282608032227 wall_clock_time_millis_testing 11.99197769165039 wall_clock_time_millis_testing 10.993003845214844 wall_clock_time_millis_testing 10.99252700805664 wall_clock_time_millis_testing 11.992454528808594 wall_clock_time_millis_testing 11.992454528808594 wall_clock_time_millis_testing 10.993480682373047 wall_clock_time_millis_testing 10.993242263793945 wall_clock_time_millis_testing 11.99197769165039 wall_clock_time_millis_testing 11.992454528808594 wall_clock_time_millis_training 167.9065227508545 wall_clock_time_millis_training 157.90963172912598 wall_clock_time_millis_training 159.90805625915527 wall_clock_time_millis_training 154.91080284118652 wall_clock_time_millis_training 159.90805625915527 wall_clock_time_millis_training 159.88492965698242 wall_clock_time_millis_training 155.88879585266113 wall_clock_time_millis_training 162.90831565856934 wall_clock_time_millis_training 160.90774536132812 wall_clock_time_millis_training 159.9283218383789 weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0.095 [0,0,0.95,0,0,0,0,0,0,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0.095 [0,0,0,0,0.9,0,0,0,0.05,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0] weighted_recall 0.095 [0,0,0,0.95,0,0,0,0,0,0] weighted_recall 0 [0,0,0,0,0,0,0,0,0,0]