113103 2 Joaquin Vanschoren 14 Supervised Classification 405 weka.AdaBoostM1_J48(2) 629 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 I 10 405 P 100 405 S 1 405 W weka.classifiers.trees.J48 405 C 0.25 365 M 2 365 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 345642 description https://api.openml.org/data/download/345642/weka_generated_run5252636051206345540.xml -1 345645 model_readable https://api.openml.org/data/download/345645/WekaModel_weka.classifiers.meta.AdaBoostM16781800970367861842.model -1 345644 model_serialized https://api.openml.org/data/download/345644/WekaSerialized_weka.classifiers.meta.AdaBoostM18480172754137831156.model -1 345643 predictions https://api.openml.org/data/download/345643/weka_generated_predictions7534813985776631145.arff area_under_roc_curve 0.963213 [0.999889,0.943494,0.989421,0.974504,0.956035,0.989628,0.887929,0.987721,0.996408,0.907106] average_cost 0 build_cpu_time 9.1022 build_memory 855333572.8 f_measure 0.815112 [0.982456,0.798995,0.937656,0.880597,0.773196,0.915842,0.501279,0.868293,0.959799,0.533007] kappa 0.795 kb_relative_information_score 1632.019113 mean_absolute_error 0.037364 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.815114 [0.984925,0.80303,0.935323,0.876238,0.797872,0.906863,0.513089,0.847619,0.964646,0.521531] predictive_accuracy 0.8155 prior_entropy 3.321928 recall 0.8155 [0.98,0.795,0.94,0.885,0.75,0.925,0.49,0.89,0.955,0.545] relative_absolute_error 0.207578 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.18266 root_relative_squared_error 0.608867 scimark_benchmark 943.403854 [565.5774034618904, 1004.1454393001591, 482.14720472367435, 910.2221860532421, 1754.9270356714871] total_cost 0 area_under_roc_curve 0.957764 [1,0.983194,0.972222,0.964583,0.980556,0.971806,0.847778,0.992639,0.998611,0.86625] area_under_roc_curve 0.954319 [0.999722,0.928333,0.999167,0.963889,0.917361,0.987361,0.892083,0.989167,0.996944,0.869167] area_under_roc_curve 0.946819 [1,0.927083,0.998056,0.910972,0.958472,0.997222,0.788889,0.989306,1,0.898194] area_under_roc_curve 0.978514 [0.999167,0.96125,0.971944,0.997778,0.983611,0.990278,0.955833,0.995278,0.999722,0.930278] area_under_roc_curve 0.960153 [1,0.890556,0.993611,0.968611,0.962778,0.994583,0.891389,0.958889,1,0.941111] area_under_roc_curve 0.971306 [1,0.958194,0.999722,0.996667,0.99,0.998333,0.906806,0.995,0.997222,0.871111] area_under_roc_curve 0.967806 [1,0.956389,0.971111,0.990278,0.965833,0.991667,0.882639,0.991806,1,0.928333] area_under_roc_curve 0.963875 [1,0.930139,0.996667,0.99125,0.931944,0.992222,0.899444,0.992917,0.972639,0.931528] area_under_roc_curve 0.971403 [1,0.937778,1,1,0.958472,0.970972,0.927083,0.992917,1,0.926806] area_under_roc_curve 0.961403 [1,0.965,0.993611,0.963333,0.908472,0.999444,0.889306,0.991667,0.997778,0.905417] 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 build_cpu_time 9.091 build_cpu_time 9.098 build_cpu_time 9.269 build_cpu_time 9.292 build_cpu_time 8.749 build_cpu_time 9.293 build_cpu_time 8.721 build_cpu_time 9.601 build_cpu_time 9.115 build_cpu_time 8.793 build_memory 585399016 build_memory 1225005224 build_memory 389475992 build_memory 898406288 build_memory 1407492672 build_memory 579102080 build_memory 1064639792 build_memory 284419560 build_memory 800620336 build_memory 1318774768 f_measure 0.763329 [1,0.744186,0.904762,0.810811,0.727273,0.947368,0.35,0.820513,0.95,0.378378] f_measure 0.79672 [0.95,0.829268,0.952381,0.894737,0.648649,0.904762,0.55814,0.829268,0.9,0.5] f_measure 0.791651 [0.974359,0.8,0.95,0.871795,0.772727,0.95,0.368421,0.764706,0.97561,0.488889] f_measure 0.844072 [0.974359,0.820513,0.923077,0.904762,0.857143,0.9,0.514286,0.95,0.974359,0.622222] f_measure 0.824032 [1,0.736842,0.947368,0.863636,0.769231,0.9,0.540541,0.878049,1,0.604651] f_measure 0.827085 [0.97561,0.85,0.97561,0.894737,0.8,0.930233,0.545455,0.904762,0.95,0.444444] f_measure 0.819094 [0.974359,0.75,0.857143,0.85,0.8,0.863636,0.631579,0.869565,0.97561,0.619048] f_measure 0.823764 [1,0.769231,0.97561,0.904762,0.736842,0.894737,0.55,0.909091,0.947368,0.55] f_measure 0.826911 [1,0.820513,1,0.952381,0.769231,0.9,0.411765,0.85,1,0.565217] f_measure 0.825606 [0.97561,0.871795,0.883721,0.85,0.857143,0.974359,0.52381,0.883721,0.923077,0.512821] kappa 0.738889 kappa 0.777778 kappa 0.766667 kappa 0.827778 kappa 0.805556 kappa 0.811111 kappa 0.8 kappa 0.805556 kappa 0.811111 kappa 0.805556 kb_relative_information_score 155.97071 kb_relative_information_score 161.092377 kb_relative_information_score 157.745445 kb_relative_information_score 168.103146 kb_relative_information_score 163.55595 kb_relative_information_score 164.396664 kb_relative_information_score 162.496135 kb_relative_information_score 165.662208 kb_relative_information_score 168.558104 kb_relative_information_score 164.438374 mean_absolute_error 0.044023 mean_absolute_error 0.039364 mean_absolute_error 0.042528 mean_absolute_error 0.033872 mean_absolute_error 0.038111 mean_absolute_error 0.035358 mean_absolute_error 0.037415 mean_absolute_error 0.034813 mean_absolute_error 0.032088 mean_absolute_error 0.036069 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 0.766218 [1,0.695652,0.863636,0.882353,0.666667,1,0.35,0.842105,0.95,0.411765] precision 0.797634 [0.95,0.809524,0.909091,0.944444,0.705882,0.863636,0.521739,0.809524,0.9,0.5625] precision 0.801291 [1,0.8,0.95,0.894737,0.708333,0.95,0.388889,0.928571,0.952381,0.44] precision 0.848129 [1,0.842105,0.947368,0.863636,0.818182,0.9,0.6,0.95,1,0.56] precision 0.826951 [1,0.777778,1,0.791667,0.789474,0.9,0.588235,0.857143,1,0.565217] precision 0.831574 [0.952381,0.85,0.952381,0.944444,0.933333,0.869565,0.5,0.863636,0.95,0.5] precision 0.830419 [1,0.75,1,0.85,0.933333,0.791667,0.666667,0.769231,0.952381,0.590909] precision 0.826105 [1,0.789474,0.952381,0.863636,0.777778,0.944444,0.55,0.833333,1,0.55] precision 0.829067 [1,0.842105,1,0.909091,0.789474,0.9,0.5,0.85,1,0.5] precision 0.832298 [0.952381,0.894737,0.826087,0.85,1,1,0.5,0.826087,0.947368,0.526316] predictive_accuracy 0.765 predictive_accuracy 0.8 predictive_accuracy 0.79 predictive_accuracy 0.845 predictive_accuracy 0.825 predictive_accuracy 0.83 predictive_accuracy 0.82 predictive_accuracy 0.825 predictive_accuracy 0.83 predictive_accuracy 0.825 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 0.765 [1,0.8,0.95,0.75,0.8,0.9,0.35,0.8,0.95,0.35] recall 0.8 [0.95,0.85,1,0.85,0.6,0.95,0.6,0.85,0.9,0.45] recall 0.79 [0.95,0.8,0.95,0.85,0.85,0.95,0.35,0.65,1,0.55] recall 0.845 [0.95,0.8,0.9,0.95,0.9,0.9,0.45,0.95,0.95,0.7] recall 0.825 [1,0.7,0.9,0.95,0.75,0.9,0.5,0.9,1,0.65] recall 0.83 [1,0.85,1,0.85,0.7,1,0.6,0.95,0.95,0.4] recall 0.82 [0.95,0.75,0.75,0.85,0.7,0.95,0.6,1,1,0.65] recall 0.825 [1,0.75,1,0.95,0.7,0.85,0.55,1,0.9,0.55] recall 0.83 [1,0.8,1,1,0.75,0.9,0.35,0.85,1,0.65] recall 0.825 [1,0.85,0.95,0.85,0.75,0.95,0.55,0.95,0.9,0.5] relative_absolute_error 0.244572 relative_absolute_error 0.218691 relative_absolute_error 0.236265 relative_absolute_error 0.188175 relative_absolute_error 0.21173 relative_absolute_error 0.196434 relative_absolute_error 0.207862 relative_absolute_error 0.193403 relative_absolute_error 0.178264 relative_absolute_error 0.200385 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 0.199399 root_mean_squared_error 0.188068 root_mean_squared_error 0.197227 root_mean_squared_error 0.170619 root_mean_squared_error 0.180856 root_mean_squared_error 0.180524 root_mean_squared_error 0.184607 root_mean_squared_error 0.17598 root_mean_squared_error 0.167658 root_mean_squared_error 0.179033 root_relative_squared_error 0.664662 root_relative_squared_error 0.626892 root_relative_squared_error 0.657422 root_relative_squared_error 0.56873 root_relative_squared_error 0.602854 root_relative_squared_error 0.601745 root_relative_squared_error 0.615356 root_relative_squared_error 0.586602 root_relative_squared_error 0.55886 root_relative_squared_error 0.596776 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