119707 2 Joaquin Vanschoren 14 Supervised Classification 411 weka.AdaBoostM1_LMT(2) 641 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0 I 10 411 P 100 411 S 1 411 W weka.classifiers.trees.LMT 411 I -1 412 M 15 412 W 0.0 412 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 370190 description https://api.openml.org/data/download/370190/weka_generated_run5561634618543944189.xml -1 370193 model_readable https://api.openml.org/data/download/370193/WekaModel_weka.classifiers.meta.AdaBoostM17451825301795446089.model -1 370192 model_serialized https://api.openml.org/data/download/370192/WekaSerialized_weka.classifiers.meta.AdaBoostM11453157376156764386.model -1 370191 predictions https://api.openml.org/data/download/370191/weka_generated_predictions2683912631296354807.arff area_under_roc_curve 0.969905 [0.999343,0.937625,0.985487,0.974849,0.962889,0.991271,0.934221,0.989011,0.998692,0.925667] average_cost 0 build_cpu_time 602.6513 build_memory 1283293386.4 f_measure 0.835863 [0.994975,0.767327,0.926209,0.869565,0.807018,0.92112,0.611374,0.893827,0.977215,0.59] kappa 0.815556 kb_relative_information_score 1657.003713 mean_absolute_error 0.034868 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 0.838348 [1,0.759804,0.943005,0.890052,0.809045,0.937824,0.581081,0.882927,0.989744,0.59] predictive_accuracy 0.834 prior_entropy 3.321928 recall 0.834 [0.99,0.775,0.91,0.85,0.805,0.905,0.645,0.905,0.965,0.59] relative_absolute_error 0.193709 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.175782 root_relative_squared_error 0.58594 scimark_benchmark 924.673302 [518.6561651880337, 1000.7556336989805, 471.97440834681885, 883.2345206461015, 1748.7457828491113] total_cost 0 area_under_roc_curve 0.974986 [1,0.956944,0.996528,0.952639,0.985556,0.999444,0.944722,0.994167,0.999722,0.920139] area_under_roc_curve 0.966194 [1,0.905972,0.997222,0.974306,0.981667,0.960972,0.917917,0.9925,0.999722,0.931667] area_under_roc_curve 0.971431 [1,0.943472,0.995556,0.945833,0.965556,0.993333,0.935833,0.983472,1,0.95125] area_under_roc_curve 0.985667 [0.990833,0.988333,0.964167,0.998611,0.996389,0.994167,0.982222,0.998056,1,0.943889] area_under_roc_curve 0.965597 [1,0.920417,0.999444,0.945278,0.979722,0.988611,0.924167,0.988472,1,0.909861] area_under_roc_curve 0.964889 [1,0.906111,0.96625,0.956528,0.956111,0.9975,0.968056,0.996806,1,0.901528] area_under_roc_curve 0.968833 [1,0.915556,0.966944,0.995833,0.950278,0.993611,0.944028,0.961528,1,0.960556] area_under_roc_curve 0.975819 [1,0.956806,0.99125,0.996389,0.953611,0.9975,0.93875,0.989861,0.998889,0.935139] area_under_roc_curve 0.971111 [1,0.930833,0.999722,0.997361,0.970417,0.989444,0.918472,0.997778,1,0.907083] area_under_roc_curve 0.954806 [1,0.958889,0.978889,0.994444,0.9,0.999444,0.849722,0.991389,0.988611,0.886667] 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 592.228 build_cpu_time 628.543 build_cpu_time 572.912 build_cpu_time 581.792 build_cpu_time 601.963 build_cpu_time 614.703 build_cpu_time 645.744 build_cpu_time 573.566 build_cpu_time 627.038 build_cpu_time 588.024 build_memory 1732122360 build_memory 1274452944 build_memory 709334352 build_memory 752181280 build_memory 1867092000 build_memory 1703571952 build_memory 1550118264 build_memory 900637432 build_memory 1363359544 build_memory 980063736 f_measure 0.835586 [0.974359,0.772727,0.95,0.864865,0.809524,0.974359,0.652174,0.810811,0.97561,0.571429] f_measure 0.791537 [1,0.7,0.857143,0.8,0.790698,0.878049,0.526316,0.842105,0.97561,0.545455] f_measure 0.837382 [1,0.790698,0.947368,0.777778,0.769231,0.878049,0.634146,0.894737,1,0.681818] f_measure 0.914132 [0.974359,0.894737,0.95,0.97561,0.930233,0.947368,0.790698,0.97561,1,0.702703] f_measure 0.813776 [1,0.731707,0.95,0.857143,0.780488,0.842105,0.6,0.85,1,0.526316] f_measure 0.833974 [1,0.682927,0.904762,0.820513,0.789474,0.9,0.73913,0.9,0.974359,0.628571] f_measure 0.858888 [1,0.780488,0.918919,0.926829,0.820513,0.926829,0.7,0.883721,1,0.631579] f_measure 0.838284 [1,0.736842,0.923077,0.842105,0.829268,0.974359,0.634146,0.904762,0.947368,0.590909] f_measure 0.820521 [1,0.742857,0.97561,0.952381,0.756757,0.947368,0.4,0.930233,1,0.5] f_measure 0.807879 [1,0.837209,0.878049,0.857143,0.777778,0.947368,0.425532,0.930233,0.888889,0.536585] kappa 0.816667 kappa 0.766667 kappa 0.816667 kappa 0.905556 kappa 0.794444 kappa 0.816667 kappa 0.844444 kappa 0.816667 kappa 0.8 kappa 0.777778 kb_relative_information_score 166.254742 kb_relative_information_score 155.738384 kb_relative_information_score 166.396535 kb_relative_information_score 181.481634 kb_relative_information_score 160.83962 kb_relative_information_score 167.547758 kb_relative_information_score 171.128798 kb_relative_information_score 164.697771 kb_relative_information_score 163.099438 kb_relative_information_score 159.819034 mean_absolute_error 0.034244 mean_absolute_error 0.043836 mean_absolute_error 0.034581 mean_absolute_error 0.020992 mean_absolute_error 0.039579 mean_absolute_error 0.032855 mean_absolute_error 0.028993 mean_absolute_error 0.036006 mean_absolute_error 0.037167 mean_absolute_error 0.040422 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 0.845056 [1,0.708333,0.95,0.941176,0.772727,1,0.576923,0.882353,0.952381,0.666667] precision 0.79931 [1,0.7,1,0.8,0.73913,0.857143,0.555556,0.888889,0.952381,0.5] precision 0.844924 [1,0.73913,1,0.875,0.789474,0.857143,0.619048,0.944444,1,0.625] precision 0.917261 [1,0.944444,0.95,0.952381,0.869565,1,0.73913,0.952381,1,0.764706] precision 0.813882 [1,0.714286,0.95,0.818182,0.761905,0.888889,0.6,0.85,1,0.555556] precision 0.839292 [1,0.666667,0.863636,0.842105,0.833333,0.9,0.653846,0.9,1,0.733333] precision 0.860629 [1,0.761905,1,0.904762,0.842105,0.904762,0.7,0.826087,1,0.666667] precision 0.844791 [1,0.777778,0.947368,0.888889,0.809524,1,0.619048,0.863636,1,0.541667] precision 0.827957 [1,0.866667,0.952381,0.909091,0.823529,1,0.4,0.869565,1,0.458333] precision 0.82785 [1,0.782609,0.857143,1,0.875,1,0.37037,0.869565,1,0.52381] predictive_accuracy 0.835 predictive_accuracy 0.79 predictive_accuracy 0.835 predictive_accuracy 0.915 predictive_accuracy 0.815 predictive_accuracy 0.835 predictive_accuracy 0.86 predictive_accuracy 0.835 predictive_accuracy 0.82 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 0.835 [0.95,0.85,0.95,0.8,0.85,0.95,0.75,0.75,1,0.5] recall 0.79 [1,0.7,0.75,0.8,0.85,0.9,0.5,0.8,1,0.6] recall 0.835 [1,0.85,0.9,0.7,0.75,0.9,0.65,0.85,1,0.75] recall 0.915 [0.95,0.85,0.95,1,1,0.9,0.85,1,1,0.65] recall 0.815 [1,0.75,0.95,0.9,0.8,0.8,0.6,0.85,1,0.5] recall 0.835 [1,0.7,0.95,0.8,0.75,0.9,0.85,0.9,0.95,0.55] recall 0.86 [1,0.8,0.85,0.95,0.8,0.95,0.7,0.95,1,0.6] recall 0.835 [1,0.7,0.9,0.8,0.85,0.95,0.65,0.95,0.9,0.65] recall 0.82 [1,0.65,1,1,0.7,0.9,0.4,1,1,0.55] recall 0.8 [1,0.9,0.9,0.75,0.7,0.9,0.5,1,0.8,0.55] relative_absolute_error 0.190247 relative_absolute_error 0.243534 relative_absolute_error 0.192118 relative_absolute_error 0.116623 relative_absolute_error 0.219881 relative_absolute_error 0.182531 relative_absolute_error 0.161072 relative_absolute_error 0.200033 relative_absolute_error 0.206484 relative_absolute_error 0.224569 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 0.173209 root_mean_squared_error 0.199301 root_mean_squared_error 0.174947 root_mean_squared_error 0.126982 root_mean_squared_error 0.188057 root_mean_squared_error 0.173504 root_mean_squared_error 0.160948 root_mean_squared_error 0.176046 root_mean_squared_error 0.182516 root_mean_squared_error 0.191996 root_relative_squared_error 0.577362 root_relative_squared_error 0.664337 root_relative_squared_error 0.583158 root_relative_squared_error 0.423274 root_relative_squared_error 0.626856 root_relative_squared_error 0.578345 root_relative_squared_error 0.536495 root_relative_squared_error 0.586821 root_relative_squared_error 0.608386 root_relative_squared_error 0.639986 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