593985 1 Jan van Rijn 14 Supervised Classification 4028 weka.FilteredClassifier_MultiSearch_Logistic(1) 6410 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.MultiFilter -F \"weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate \" -F \"weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\\\'T\\\'HH:mm:ss\" -F \"weka.filters.unsupervised.attribute.RemoveUseless -M 99.0\"" -W weka.classifiers.meta.MultiSearch -- -E ACC -search "weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)" -class-label 1 -algorithm "weka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1" -log-file /home/rijnjnvan/apps/weka-3-7-13 -S 1 -W weka.classifiers.functions.Logistic -- -R 1.0E-8 -M -1 R 1.0E-8 1805 M -1 1805 F weka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0" 4028 W weka.classifiers.meta.MultiSearch 4028 E ACC 4029 class-label 1 4029 search [weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)] 4029 algorithm weka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1 4029 log-file /home/rijnjnvan/apps/weka-3-7-13 4029 S 1 4029 W weka.classifiers.functions.Logistic 4029 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 2058974 description https://api.openml.org/data/download/2058974/weka_generated_run3025348196136482212.xml -1 2058977 model_readable https://api.openml.org/data/download/2058977/WekaModel_weka.classifiers.meta.FilteredClassifier5844903316264450612.model -1 2058976 model_serialized https://api.openml.org/data/download/2058976/WekaSerialized_weka.classifiers.meta.FilteredClassifier3181964484512460404.model -1 2058978 predictions https://api.openml.org/data/download/2058978/weka_generated_predictions7789945656828532969.arff -1 2058975 trace https://api.openml.org/data/download/2058975/optimization_trace8883202364199349301.arff area_under_roc_curve 0.978336 [0.999967,0.961036,0.995888,0.986783,0.965871,0.993517,0.949646,0.991958,0.994664,0.944031] average_cost 0 f_measure 0.824536 [0.99,0.751918,0.936709,0.879397,0.8,0.932331,0.593301,0.859857,0.972431,0.529412] kappa 0.806111 kb_relative_information_score 1624.940578 mean_absolute_error 0.051931 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64] precision 0.824876 [0.99,0.769634,0.948718,0.883838,0.790244,0.934673,0.568807,0.819005,0.974874,0.568966] predictive_accuracy 0.8255 prior_entropy 3.321928 recall 0.8255 [0.99,0.735,0.925,0.875,0.81,0.93,0.62,0.905,0.97,0.495] relative_absolute_error 0.288507 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.156106 root_relative_squared_error 0.520354 scimark_benchmark 1369.366909 [799.7435325887984, 1040.7534951855516, 542.2938452810938, 1247.7106428773866, 3216.3330274236596] total_cost 0 usercpu_time_millis 6780 usercpu_time_millis_testing 30 usercpu_time_millis_training 6750 area_under_roc_curve 0.981833 [0.999722,0.970556,0.999444,0.995833,0.971667,1,0.931944,0.991667,0.998889,0.958611] area_under_roc_curve 0.978583 [1,0.955833,0.998333,0.990556,0.947222,0.990833,0.958333,0.990833,0.998889,0.955] area_under_roc_curve 0.973528 [1,0.960278,1,0.960556,0.983333,0.995,0.906667,0.990556,1,0.938889] area_under_roc_curve 0.98675 [1,0.9725,0.996667,1,0.991111,0.995,0.978611,0.994444,0.973333,0.965833] area_under_roc_curve 0.975806 [1,0.946667,0.997222,0.961389,0.976667,0.991389,0.9575,0.994444,1,0.932778] area_under_roc_curve 0.980889 [1,0.966944,0.998611,0.987222,0.953333,0.998611,0.964722,0.993889,1,0.945556] area_under_roc_curve 0.981833 [1,0.975556,0.985833,0.996944,0.970278,0.994167,0.961389,0.992222,1,0.941944] area_under_roc_curve 0.982 [1,0.958056,0.996111,0.996944,0.960833,0.991389,0.955833,0.993056,0.998056,0.969722] area_under_roc_curve 0.978722 [1,0.948889,0.999722,0.996944,0.983889,0.986389,0.946944,0.995833,1,0.928611] area_under_roc_curve 0.973833 [1,0.978611,0.989722,0.996389,0.945833,0.996944,0.945556,0.989167,0.973056,0.923056] 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 0.798291 [0.974359,0.73913,0.926829,0.857143,0.857143,1,0.439024,0.769231,0.97561,0.444444] f_measure 0.805396 [1,0.756757,0.894737,0.837209,0.769231,0.9,0.55814,0.837209,0.974359,0.526316] f_measure 0.822047 [1,0.761905,0.947368,0.820513,0.844444,0.923077,0.590909,0.871795,0.97561,0.484848] f_measure 0.859267 [0.974359,0.722222,0.974359,0.97561,0.8,0.9,0.761905,0.85,0.95,0.684211] f_measure 0.782207 [0.97561,0.666667,0.947368,0.790698,0.717949,0.842105,0.619048,0.818182,1,0.444444] f_measure 0.846804 [1,0.742857,0.926829,0.829268,0.842105,0.952381,0.666667,0.952381,1,0.555556] f_measure 0.817509 [1,0.736842,0.918919,0.9,0.8,0.926829,0.590909,0.844444,1,0.457143] f_measure 0.848164 [0.97561,0.8,0.95,0.95,0.8,0.95,0.666667,0.878049,0.923077,0.588235] f_measure 0.856638 [1,0.742857,0.97561,0.97561,0.829268,0.974359,0.540541,0.909091,1,0.619048] f_measure 0.799345 [1,0.837209,0.904762,0.857143,0.722222,0.95,0.457143,0.863636,0.923077,0.478261] kappa 0.777778 kappa 0.783333 kappa 0.805556 kappa 0.844444 kappa 0.761111 kappa 0.833333 kappa 0.8 kappa 0.833333 kappa 0.844444 kappa 0.777778 kb_relative_information_score 159.375018 kb_relative_information_score 161.508522 kb_relative_information_score 158.795637 kb_relative_information_score 162.302202 kb_relative_information_score 159.212632 kb_relative_information_score 165.406236 kb_relative_information_score 162.649473 kb_relative_information_score 167.377392 kb_relative_information_score 167.292705 kb_relative_information_score 161.02076 mean_absolute_error 0.057344 mean_absolute_error 0.05427 mean_absolute_error 0.056075 mean_absolute_error 0.056009 mean_absolute_error 0.052522 mean_absolute_error 0.047864 mean_absolute_error 0.051549 mean_absolute_error 0.046789 mean_absolute_error 0.04594 mean_absolute_error 0.05095 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 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 0.804722 [1,0.653846,0.904762,1,0.818182,1,0.428571,0.789474,0.952381,0.5] precision 0.809996 [1,0.823529,0.944444,0.782609,0.789474,0.9,0.521739,0.782609,1,0.555556] precision 0.828092 [1,0.727273,1,0.842105,0.76,0.947368,0.541667,0.894737,0.952381,0.615385] precision 0.863438 [1,0.8125,1,0.952381,0.72,0.9,0.727273,0.85,0.95,0.722222] precision 0.784236 [0.952381,0.684211,1,0.73913,0.736842,0.888889,0.590909,0.75,1,0.5] precision 0.851302 [1,0.866667,0.904762,0.809524,0.888889,0.909091,0.6,0.909091,1,0.625] precision 0.821754 [1,0.777778,1,0.9,0.8,0.904762,0.541667,0.76,1,0.533333] precision 0.852118 [0.952381,0.8,0.95,0.95,0.8,0.95,0.6,0.857143,0.947368,0.714286] precision 0.859343 [1,0.866667,0.952381,0.952381,0.809524,1,0.588235,0.833333,1,0.590909] precision 0.810419 [1,0.782609,0.863636,1,0.8125,0.95,0.533333,0.791667,0.947368,0.423077] predictive_accuracy 0.8 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.86 predictive_accuracy 0.785 predictive_accuracy 0.85 predictive_accuracy 0.82 predictive_accuracy 0.85 predictive_accuracy 0.86 predictive_accuracy 0.8 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.8 [0.95,0.85,0.95,0.75,0.9,1,0.45,0.75,1,0.4] recall 0.805 [1,0.7,0.85,0.9,0.75,0.9,0.6,0.9,0.95,0.5] recall 0.825 [1,0.8,0.9,0.8,0.95,0.9,0.65,0.85,1,0.4] recall 0.86 [0.95,0.65,0.95,1,0.9,0.9,0.8,0.85,0.95,0.65] recall 0.785 [1,0.65,0.9,0.85,0.7,0.8,0.65,0.9,1,0.4] recall 0.85 [1,0.65,0.95,0.85,0.8,1,0.75,1,1,0.5] recall 0.82 [1,0.7,0.85,0.9,0.8,0.95,0.65,0.95,1,0.4] recall 0.85 [1,0.8,0.95,0.95,0.8,0.95,0.75,0.9,0.9,0.5] recall 0.86 [1,0.65,1,1,0.85,0.95,0.5,1,1,0.65] recall 0.8 [1,0.9,0.95,0.75,0.65,0.95,0.4,0.95,0.9,0.55] relative_absolute_error 0.318577 relative_absolute_error 0.301502 relative_absolute_error 0.31153 relative_absolute_error 0.311161 relative_absolute_error 0.291791 relative_absolute_error 0.265914 relative_absolute_error 0.286381 relative_absolute_error 0.259937 relative_absolute_error 0.25522 relative_absolute_error 0.283055 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.155195 root_mean_squared_error 0.159169 root_mean_squared_error 0.161513 root_mean_squared_error 0.149643 root_mean_squared_error 0.169492 root_mean_squared_error 0.151772 root_mean_squared_error 0.155659 root_mean_squared_error 0.148494 root_mean_squared_error 0.146421 root_mean_squared_error 0.162204 root_relative_squared_error 0.517318 root_relative_squared_error 0.530563 root_relative_squared_error 0.538377 root_relative_squared_error 0.498811 root_relative_squared_error 0.564974 root_relative_squared_error 0.505905 root_relative_squared_error 0.518864 root_relative_squared_error 0.494979 root_relative_squared_error 0.48807 root_relative_squared_error 0.54068 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 4710 usercpu_time_millis 4810 usercpu_time_millis 4530 usercpu_time_millis 3980 usercpu_time_millis 5780 usercpu_time_millis 5590 usercpu_time_millis 4770 usercpu_time_millis 5650 usercpu_time_millis 5440 usercpu_time_millis 5940 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 4690 usercpu_time_millis_training 4800 usercpu_time_millis_training 4530 usercpu_time_millis_training 3980 usercpu_time_millis_training 5780 usercpu_time_millis_training 5590 usercpu_time_millis_training 4770 usercpu_time_millis_training 5650 usercpu_time_millis_training 5440 usercpu_time_millis_training 5940