580024 1 Jan van Rijn 14 Supervised Classification 3910 weka.AdaBoostM1_IBk(5) 6353 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" K 1 1721 W 0 1721 A true 1721 P 100 3910 S 1 3910 I 10 3910 W weka.classifiers.lazy.IBk 3910 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 2002876 description https://api.openml.org/data/download/2002876/weka_generated_run5305365509371125350.xml -1 2002878 model_readable https://api.openml.org/data/download/2002878/WekaModel_weka.classifiers.meta.AdaBoostM1464890444870362190.model -1 2002877 model_serialized https://api.openml.org/data/download/2002877/WekaSerialized_weka.classifiers.meta.AdaBoostM17803705977438424283.model -1 2002879 predictions https://api.openml.org/data/download/2002879/weka_generated_predictions2671685934502824651.arff area_under_roc_curve 0.889659 [0.999722,0.884939,0.968678,0.919617,0.920989,0.920111,0.69145,0.924867,0.987522,0.678694] average_cost 0 f_measure 0.802734 [0.997506,0.757647,0.956743,0.889474,0.849383,0.89418,0.442786,0.846715,0.967901,0.425] kappa 0.779444 kb_relative_information_score 1581.462587 mean_absolute_error 0.040474 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 0.805836 [0.995025,0.715556,0.974093,0.938889,0.839024,0.949438,0.440594,0.824645,0.956098,0.425] predictive_accuracy 0.8015 prior_entropy 3.321928 recall 0.8015 [1,0.805,0.94,0.845,0.86,0.845,0.445,0.87,0.98,0.425] relative_absolute_error 0.224855 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.198705 root_relative_squared_error 0.66235 scimark_benchmark 1622.541369 [927.7875768212957, 1156.6357358668909, 579.9307610530151, 1506.5747043863128, 3941.778068403907] total_cost 0 usercpu_time_millis 2610 usercpu_time_millis_testing 1310 usercpu_time_millis_training 1300 area_under_roc_curve 0.883889 [1,0.928056,0.972361,0.900556,0.886667,0.922361,0.626944,0.889444,1,0.7125] area_under_roc_curve 0.886722 [1,0.914306,0.975139,0.900556,0.867361,0.897778,0.693194,0.96125,0.969583,0.688056] area_under_roc_curve 0.9 [1,0.886111,0.975,0.875,0.955556,0.95,0.675,0.966667,1,0.716667] area_under_roc_curve 0.9 [1,0.883333,0.975,0.941667,0.963889,0.9,0.811111,0.894444,0.975,0.655556] area_under_roc_curve 0.872222 [1,0.780556,0.95,0.894444,0.941667,0.891667,0.716667,0.908333,0.997222,0.641667] area_under_roc_curve 0.897222 [0.997222,0.905556,1,0.847222,0.925,0.972222,0.65,0.936111,0.997222,0.741667] area_under_roc_curve 0.903222 [1,0.900417,0.950278,0.972361,0.944722,0.925,0.770556,0.914306,0.997222,0.657361] area_under_roc_curve 0.894444 [1,0.861111,0.997222,0.969444,0.863889,0.922222,0.741667,0.916667,0.972222,0.7] area_under_roc_curve 0.894444 [1,0.883333,0.975,0.994444,0.966667,0.85,0.619444,0.969444,1,0.686111] area_under_roc_curve 0.864556 [1,0.905972,0.917083,0.900556,0.895,0.969583,0.610278,0.892222,0.966806,0.588056] 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 0.789412 [1,0.782609,0.95,0.888889,0.780488,0.894737,0.342857,0.8,1,0.454545] f_measure 0.804187 [1,0.829268,0.974359,0.888889,0.789474,0.864865,0.45,0.863636,0.926829,0.454545] f_measure 0.819883 [1,0.780488,0.974359,0.857143,0.826087,0.947368,0.432432,0.904762,1,0.47619] f_measure 0.819848 [1,0.761905,0.974359,0.878049,0.883721,0.888889,0.583333,0.842105,0.974359,0.411765] f_measure 0.770489 [1,0.615385,0.947368,0.842105,0.878049,0.820513,0.47619,0.790698,0.97561,0.358974] f_measure 0.813059 [0.97561,0.772727,1,0.8,0.918919,0.95,0.388889,0.837209,0.97561,0.511628] f_measure 0.82302 [1,0.73913,0.947368,0.95,0.9,0.918919,0.55814,0.829268,0.97561,0.411765] f_measure 0.810172 [1,0.75,0.97561,0.926829,0.769231,0.894737,0.511628,0.85,0.95,0.473684] f_measure 0.808669 [1,0.761905,0.974359,0.952381,0.904762,0.823529,0.324324,0.926829,1,0.418605] f_measure 0.755492 [1,0.772727,0.85,0.888889,0.842105,0.926829,0.292683,0.820513,0.904762,0.25641] kappa 0.766667 kappa 0.777778 kappa 0.8 kappa 0.8 kappa 0.744444 kappa 0.794444 kappa 0.805556 kappa 0.788889 kappa 0.788889 kappa 0.727778 kb_relative_information_score 155.747315 kb_relative_information_score 157.832821 kb_relative_information_score 162.006353 kb_relative_information_score 162.006353 kb_relative_information_score 151.572823 kb_relative_information_score 160.963 kb_relative_information_score 163.050786 kb_relative_information_score 159.919647 kb_relative_information_score 159.919647 kb_relative_information_score 148.443844 mean_absolute_error 0.04276 mean_absolute_error 0.040773 mean_absolute_error 0.036795 mean_absolute_error 0.036795 mean_absolute_error 0.04674 mean_absolute_error 0.03779 mean_absolute_error 0.035798 mean_absolute_error 0.038784 mean_absolute_error 0.038784 mean_absolute_error 0.049721 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 0.796532 [1,0.692308,0.95,1,0.761905,0.944444,0.4,0.8,1,0.416667] precision 0.814713 [1,0.809524,1,1,0.833333,0.941176,0.45,0.791667,0.904762,0.416667] precision 0.828144 [1,0.761905,1,1,0.730769,1,0.470588,0.863636,1,0.454545] precision 0.829939 [1,0.727273,1,0.857143,0.826087,1,0.5,0.888889,1,0.5] precision 0.773419 [1,0.631579,1,0.888889,0.857143,0.842105,0.454545,0.73913,0.952381,0.368421] precision 0.81948 [0.952381,0.708333,1,0.933333,1,0.95,0.4375,0.782609,0.952381,0.478261] precision 0.828749 [1,0.653846,1,0.95,0.9,1,0.521739,0.809524,0.952381,0.5] precision 0.811932 [1,0.75,0.952381,0.904762,0.789474,0.944444,0.478261,0.85,0.95,0.5] precision 0.814901 [1,0.727273,1,0.909091,0.863636,1,0.352941,0.904762,1,0.391304] precision 0.76066 [1,0.708333,0.85,1,0.888889,0.904762,0.285714,0.842105,0.863636,0.263158] predictive_accuracy 0.79 predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.77 predictive_accuracy 0.815 predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.81 predictive_accuracy 0.755 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 0.79 [1,0.9,0.95,0.8,0.8,0.85,0.3,0.8,1,0.5] recall 0.8 [1,0.85,0.95,0.8,0.75,0.8,0.45,0.95,0.95,0.5] recall 0.82 [1,0.8,0.95,0.75,0.95,0.9,0.4,0.95,1,0.5] recall 0.82 [1,0.8,0.95,0.9,0.95,0.8,0.7,0.8,0.95,0.35] recall 0.77 [1,0.6,0.9,0.8,0.9,0.8,0.5,0.85,1,0.35] recall 0.815 [1,0.85,1,0.7,0.85,0.95,0.35,0.9,1,0.55] recall 0.825 [1,0.85,0.9,0.95,0.9,0.85,0.6,0.85,1,0.35] recall 0.81 [1,0.75,1,0.95,0.75,0.85,0.55,0.85,0.95,0.45] recall 0.81 [1,0.8,0.95,1,0.95,0.7,0.3,0.95,1,0.45] recall 0.755 [1,0.85,0.85,0.8,0.8,0.95,0.3,0.8,0.95,0.25] relative_absolute_error 0.237553 relative_absolute_error 0.226518 relative_absolute_error 0.204417 relative_absolute_error 0.204417 relative_absolute_error 0.259666 relative_absolute_error 0.209942 relative_absolute_error 0.198879 relative_absolute_error 0.215467 relative_absolute_error 0.215467 relative_absolute_error 0.276227 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 0.204379 root_mean_squared_error 0.199461 root_mean_squared_error 0.189219 root_mean_squared_error 0.189219 root_mean_squared_error 0.213889 root_mean_squared_error 0.191829 root_mean_squared_error 0.186573 root_mean_squared_error 0.194404 root_mean_squared_error 0.194404 root_mean_squared_error 0.220753 root_relative_squared_error 0.681263 root_relative_squared_error 0.664869 root_relative_squared_error 0.63073 root_relative_squared_error 0.63073 root_relative_squared_error 0.712964 root_relative_squared_error 0.63943 root_relative_squared_error 0.621909 root_relative_squared_error 0.648013 root_relative_squared_error 0.648013 root_relative_squared_error 0.735845 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 1390 usercpu_time_millis 1250 usercpu_time_millis 1200 usercpu_time_millis 1260 usercpu_time_millis 1160 usercpu_time_millis 890 usercpu_time_millis 880 usercpu_time_millis 880 usercpu_time_millis 1010 usercpu_time_millis 950 usercpu_time_millis_testing 210 usercpu_time_millis_testing 150 usercpu_time_millis_testing 190 usercpu_time_millis_testing 190 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 190 usercpu_time_millis_testing 130 usercpu_time_millis_training 1180 usercpu_time_millis_training 1100 usercpu_time_millis_training 1010 usercpu_time_millis_training 1070 usercpu_time_millis_training 1020 usercpu_time_millis_training 750 usercpu_time_millis_training 740 usercpu_time_millis_training 740 usercpu_time_millis_training 820 usercpu_time_millis_training 820