134640 2 Joaquin Vanschoren 14 Supervised Classification 420 weka.AdaBoostM1_RandomTree(2) 672 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.001 -S 1 I 20 420 P 100 420 S 1 420 W weka.classifiers.trees.RandomTree 420 K 0 421 M 1.0 421 S 1 421 V 0.001 421 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 429558 description https://api.openml.org/data/download/429558/weka_generated_run7790736705279191661.xml -1 429561 model_readable https://api.openml.org/data/download/429561/WekaModel_weka.classifiers.meta.AdaBoostM1517655828566354637.model -1 429560 model_serialized https://api.openml.org/data/download/429560/WekaSerialized_weka.classifiers.meta.AdaBoostM13630019646742303031.model -1 429559 predictions https://api.openml.org/data/download/429559/weka_generated_predictions7700043633635635658.arff area_under_roc_curve 0.821389 [0.970833,0.728611,0.88,0.7975,0.825556,0.843333,0.686944,0.872222,0.918333,0.690556] average_cost 0 build_cpu_time 0.0544 build_memory 862565702.4 f_measure 0.677834 [0.938272,0.521964,0.781095,0.636591,0.665072,0.739583,0.444444,0.77,0.846535,0.434783] kappa 0.642778 kb_relative_information_score 1327.577934 mean_absolute_error 0.0643 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 0.67804 [0.926829,0.540107,0.777228,0.638191,0.637615,0.771739,0.459893,0.77,0.838235,0.420561] predictive_accuracy 0.6785 prior_entropy 3.321928 recall 0.6785 [0.95,0.505,0.785,0.635,0.695,0.71,0.43,0.77,0.855,0.45] relative_absolute_error 0.357222 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.253574 root_relative_squared_error 0.845248 scimark_benchmark 946.909114 [563.9316768738721, 1015.5230404536866, 483.44967579697345, 912.7576668351037, 1758.8835103978397] total_cost 0 area_under_roc_curve 0.788889 [0.963889,0.713889,0.827778,0.702778,0.830556,0.838889,0.608333,0.866667,0.875,0.661111] area_under_roc_curve 0.805556 [0.947222,0.730556,0.855556,0.755556,0.769444,0.861111,0.736111,0.830556,0.916667,0.652778] area_under_roc_curve 0.816667 [0.95,0.777778,0.866667,0.805556,0.875,0.783333,0.713889,0.866667,0.933333,0.594444] area_under_roc_curve 0.847222 [0.969444,0.622222,0.841667,0.825,0.933333,0.897222,0.788889,0.866667,0.983333,0.744444] area_under_roc_curve 0.822222 [1,0.644444,0.888889,0.830556,0.861111,0.866667,0.622222,0.936111,0.916667,0.655556] area_under_roc_curve 0.841667 [0.994444,0.777778,0.894444,0.827778,0.811111,0.813889,0.652778,0.966667,0.988889,0.688889] area_under_roc_curve 0.858333 [0.975,0.819444,0.869444,0.877778,0.833333,0.908333,0.758333,0.877778,0.941667,0.722222] area_under_roc_curve 0.825 [0.997222,0.727778,0.908333,0.775,0.702778,0.908333,0.697222,0.886111,0.897222,0.75] area_under_roc_curve 0.811111 [0.994444,0.763889,0.919444,0.783333,0.8,0.736111,0.711111,0.788889,0.919444,0.694444] area_under_roc_curve 0.797222 [0.916667,0.708333,0.927778,0.791667,0.838889,0.819444,0.580556,0.836111,0.811111,0.741667] 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 0.056 build_cpu_time 0.056 build_cpu_time 0.055 build_cpu_time 0.058 build_cpu_time 0.055 build_cpu_time 0.055 build_cpu_time 0.053 build_cpu_time 0.054 build_cpu_time 0.055 build_cpu_time 0.047 build_memory 1084525848 build_memory 1196531320 build_memory 1218932232 build_memory 1218932232 build_memory 1241333200 build_memory 1241333200 build_memory 1261888976 build_memory 46166880 build_memory 46166880 build_memory 69846256 f_measure 0.624201 [0.883721,0.465116,0.666667,0.486486,0.682927,0.736842,0.292683,0.789474,0.857143,0.380952] f_measure 0.648681 [0.923077,0.540541,0.714286,0.578947,0.55814,0.75,0.488889,0.682927,0.85,0.4] f_measure 0.668008 [0.947368,0.6,0.789474,0.65,0.711111,0.631579,0.465116,0.789474,0.818182,0.277778] f_measure 0.720064 [0.926829,0.333333,0.756757,0.651163,0.818182,0.864865,0.666667,0.789474,0.869565,0.52381] f_measure 0.6775 [1,0.368421,0.8,0.682927,0.75,0.789474,0.333333,0.837209,0.85,0.363636] f_measure 0.709049 [0.952381,0.6,0.842105,0.666667,0.684211,0.702703,0.4,0.904762,0.909091,0.428571] f_measure 0.744591 [0.974359,0.742857,0.810811,0.727273,0.7,0.790698,0.594595,0.727273,0.878049,0.5] f_measure 0.681206 [0.97561,0.526316,0.790698,0.585366,0.486486,0.790698,0.461538,0.780488,0.864865,0.55] f_measure 0.662257 [0.952381,0.533333,0.871795,0.631579,0.619048,0.571429,0.454545,0.666667,0.871795,0.45] f_measure 0.631352 [0.85,0.514286,0.782609,0.685714,0.625,0.742857,0.258065,0.717949,0.684211,0.45283] kappa 0.577778 kappa 0.611111 kappa 0.633333 kappa 0.694444 kappa 0.644444 kappa 0.683333 kappa 0.716667 kappa 0.65 kappa 0.622222 kappa 0.594444 kb_relative_information_score 120.522431 kb_relative_information_score 126.796976 kb_relative_information_score 130.980006 kb_relative_information_score 142.483338 kb_relative_information_score 133.071521 kb_relative_information_score 140.391823 kb_relative_information_score 146.666368 kb_relative_information_score 134.117278 kb_relative_information_score 128.888491 kb_relative_information_score 123.659703 mean_absolute_error 0.076 mean_absolute_error 0.07 mean_absolute_error 0.066 mean_absolute_error 0.055 mean_absolute_error 0.064 mean_absolute_error 0.057 mean_absolute_error 0.051 mean_absolute_error 0.063 mean_absolute_error 0.068 mean_absolute_error 0.073 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 0.635377 [0.826087,0.434783,0.636364,0.529412,0.666667,0.777778,0.285714,0.833333,1,0.363636] precision 0.652361 [0.947368,0.588235,0.681818,0.611111,0.521739,0.75,0.44,0.666667,0.85,0.466667] precision 0.672062 [1,0.6,0.833333,0.65,0.64,0.666667,0.434783,0.833333,0.75,0.3125] precision 0.725573 [0.904762,0.375,0.823529,0.608696,0.75,0.941176,0.75,0.833333,0.769231,0.5] precision 0.677983 [1,0.388889,0.8,0.666667,0.75,0.833333,0.375,0.782609,0.85,0.333333] precision 0.7094 [0.909091,0.6,0.888889,0.636364,0.722222,0.764706,0.466667,0.863636,0.833333,0.409091] precision 0.752569 [1,0.866667,0.882353,0.666667,0.7,0.73913,0.647059,0.666667,0.857143,0.5] precision 0.68138 [0.952381,0.555556,0.73913,0.571429,0.529412,0.73913,0.473684,0.761905,0.941176,0.55] precision 0.671947 [0.909091,0.48,0.894737,0.666667,0.590909,0.666667,0.416667,0.75,0.894737,0.45] precision 0.653103 [0.85,0.6,0.692308,0.8,0.535714,0.866667,0.363636,0.736842,0.722222,0.363636] predictive_accuracy 0.62 predictive_accuracy 0.65 predictive_accuracy 0.67 predictive_accuracy 0.725 predictive_accuracy 0.68 predictive_accuracy 0.715 predictive_accuracy 0.745 predictive_accuracy 0.685 predictive_accuracy 0.66 predictive_accuracy 0.635 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 0.62 [0.95,0.5,0.7,0.45,0.7,0.7,0.3,0.75,0.75,0.4] recall 0.65 [0.9,0.5,0.75,0.55,0.6,0.75,0.55,0.7,0.85,0.35] recall 0.67 [0.9,0.6,0.75,0.65,0.8,0.6,0.5,0.75,0.9,0.25] recall 0.725 [0.95,0.3,0.7,0.7,0.9,0.8,0.6,0.75,1,0.55] recall 0.68 [1,0.35,0.8,0.7,0.75,0.75,0.3,0.9,0.85,0.4] recall 0.715 [1,0.6,0.8,0.7,0.65,0.65,0.35,0.95,1,0.45] recall 0.745 [0.95,0.65,0.75,0.8,0.7,0.85,0.55,0.8,0.9,0.5] recall 0.685 [1,0.5,0.85,0.6,0.45,0.85,0.45,0.8,0.8,0.55] recall 0.66 [1,0.6,0.85,0.6,0.65,0.5,0.5,0.6,0.85,0.45] recall 0.635 [0.85,0.45,0.9,0.6,0.75,0.65,0.2,0.7,0.65,0.6] relative_absolute_error 0.422222 relative_absolute_error 0.388889 relative_absolute_error 0.366667 relative_absolute_error 0.305556 relative_absolute_error 0.355556 relative_absolute_error 0.316667 relative_absolute_error 0.283333 relative_absolute_error 0.35 relative_absolute_error 0.377778 relative_absolute_error 0.405556 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 0.275681 root_mean_squared_error 0.264575 root_mean_squared_error 0.256905 root_mean_squared_error 0.234521 root_mean_squared_error 0.252982 root_mean_squared_error 0.238747 root_mean_squared_error 0.225832 root_mean_squared_error 0.250998 root_mean_squared_error 0.260768 root_mean_squared_error 0.270185 root_relative_squared_error 0.918937 root_relative_squared_error 0.881917 root_relative_squared_error 0.856349 root_relative_squared_error 0.781736 root_relative_squared_error 0.843274 root_relative_squared_error 0.795822 root_relative_squared_error 0.752773 root_relative_squared_error 0.83666 root_relative_squared_error 0.869227 root_relative_squared_error 0.900617 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