583354 1 Jan van Rijn 14 Supervised Classification 2228 weka.SMO_PolyKernel(11) 2869 weka.classifiers.functions.SMO -- -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" E 1.0 2082 C 250007 2082 C 1.0 2228 N 0 2228 L 0.001 2228 P 1.0E-12 2228 V -1 2228 W 1 2228 K weka.classifiers.functions.supportVector.PolyKernel 2228 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 2016199 description https://api.openml.org/data/download/2016199/weka_generated_run1822072335336375672.xml -1 2016201 model_readable https://api.openml.org/data/download/2016201/WekaModel_weka.classifiers.functions.SMO5934836626193041502.model -1 2016200 model_serialized https://api.openml.org/data/download/2016200/WekaSerialized_weka.classifiers.functions.SMO3541290734309437357.model -1 2016202 predictions https://api.openml.org/data/download/2016202/weka_generated_predictions2317407087689996433.arff area_under_roc_curve 0.970763 [0.999818,0.94304,0.992031,0.983129,0.951925,0.99054,0.939749,0.987093,0.992265,0.928036] average_cost 0 f_measure 0.839927 [0.997494,0.775309,0.949749,0.907692,0.81203,0.925,0.59204,0.895735,0.982368,0.561856] kappa 0.822778 kb_relative_information_score 576.937015 mean_absolute_error 0.161038 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 0.840114 [1,0.765854,0.954545,0.931579,0.81407,0.925,0.589109,0.851351,0.989848,0.579787] predictive_accuracy 0.8405 prior_entropy 3.321928 recall 0.8405 [0.995,0.785,0.945,0.885,0.81,0.925,0.595,0.945,0.975,0.545] relative_absolute_error 0.894654 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.273811 root_relative_squared_error 0.912704 scimark_benchmark 1105.295826 [492.3061384281668, 904.8861138868751, 520.9809642695474, 1084.584170462671, 2523.721741400358] total_cost 0 usercpu_time_millis 580 usercpu_time_millis_testing 10 usercpu_time_millis_training 570 area_under_roc_curve 0.973361 [0.998333,0.953333,0.996389,0.994444,0.960278,1,0.93125,0.991806,0.997222,0.910556] area_under_roc_curve 0.970361 [1,0.937083,0.996667,0.988333,0.936111,0.983056,0.942639,0.987917,0.99375,0.938056] area_under_roc_curve 0.963778 [1,0.928472,0.999306,0.940972,0.957778,0.992222,0.905556,0.970694,1,0.942778] area_under_roc_curve 0.983764 [1,0.95375,0.997917,0.994444,0.981111,0.987917,0.975,0.990694,0.989028,0.967778] area_under_roc_curve 0.966236 [1,0.921667,0.986667,0.98375,0.96125,0.989861,0.939583,0.980556,1,0.899028] area_under_roc_curve 0.972222 [1,0.946944,0.994028,0.972083,0.941944,0.994444,0.946667,0.994444,1,0.931667] area_under_roc_curve 0.971472 [1,0.954167,0.988889,0.989583,0.965278,0.988472,0.947778,0.983333,1,0.897222] area_under_roc_curve 0.975069 [1,0.950833,0.997222,0.995417,0.922361,0.995556,0.938333,0.991667,0.994306,0.965] area_under_roc_curve 0.968653 [1,0.925556,0.997222,0.997222,0.9725,0.982222,0.921667,0.991667,1,0.898472] area_under_roc_curve 0.965736 [1,0.962917,0.965833,0.983194,0.931806,0.990833,0.944028,0.991667,0.950694,0.936389] 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 0.821967 [0.974359,0.818182,0.95,0.888889,0.818182,1,0.45,0.9,0.97561,0.444444] f_measure 0.829804 [1,0.780488,0.95,0.864865,0.789474,0.857143,0.578947,0.883721,0.974359,0.619048] f_measure 0.831916 [1,0.744186,0.974359,0.871795,0.844444,0.923077,0.604651,0.871795,1,0.484848] f_measure 0.885065 [1,0.789474,0.974359,0.952381,0.857143,0.9,0.769231,0.871795,0.974359,0.761905] f_measure 0.797641 [1,0.684211,0.974359,0.85,0.727273,0.871795,0.564103,0.818182,1,0.486486] f_measure 0.851933 [1,0.820513,0.926829,0.923077,0.864865,0.952381,0.608696,0.952381,1,0.470588] f_measure 0.816794 [1,0.769231,0.918919,0.926829,0.8,0.923077,0.571429,0.869565,1,0.388889] f_measure 0.877794 [1,0.761905,0.97561,0.95,0.764706,0.926829,0.761905,0.930233,0.95,0.756757] f_measure 0.846661 [1,0.810811,0.97561,0.97561,0.85,0.947368,0.411765,0.930233,1,0.565217] f_measure 0.82774 [1,0.772727,0.878049,0.857143,0.8,0.95,0.564103,0.930233,0.947368,0.577778] kappa 0.805556 kappa 0.811111 kappa 0.816667 kappa 0.872222 kappa 0.777778 kappa 0.838889 kappa 0.8 kappa 0.866667 kappa 0.833333 kappa 0.805556 kb_relative_information_score 57.912645 kb_relative_information_score 57.701685 kb_relative_information_score 56.771497 kb_relative_information_score 58.542332 kb_relative_information_score 57.349013 kb_relative_information_score 57.913132 kb_relative_information_score 57.690793 kb_relative_information_score 58.217991 kb_relative_information_score 57.717754 kb_relative_information_score 57.120174 mean_absolute_error 0.160956 mean_absolute_error 0.161022 mean_absolute_error 0.1614 mean_absolute_error 0.160689 mean_absolute_error 0.161178 mean_absolute_error 0.160933 mean_absolute_error 0.161044 mean_absolute_error 0.1608 mean_absolute_error 0.161044 mean_absolute_error 0.161311 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 0.825238 [1,0.75,0.95,1,0.75,1,0.45,0.9,0.952381,0.5] precision 0.83327 [1,0.761905,0.95,0.941176,0.833333,0.818182,0.611111,0.826087,1,0.590909] precision 0.83731 [1,0.695652,1,0.894737,0.76,0.947368,0.565217,0.894737,1,0.615385] precision 0.887209 [1,0.833333,1,0.909091,0.818182,0.9,0.789474,0.894737,1,0.727273] precision 0.799198 [1,0.722222,1,0.85,0.666667,0.894737,0.578947,0.75,1,0.529412] precision 0.856348 [1,0.842105,0.904762,0.947368,0.941176,0.909091,0.538462,0.909091,1,0.571429] precision 0.819379 [1,0.789474,1,0.904762,0.8,0.947368,0.545455,0.769231,1,0.4375] precision 0.883335 [1,0.727273,0.952381,0.95,0.928571,0.904762,0.727273,0.869565,0.95,0.823529] precision 0.850668 [1,0.882353,0.952381,0.952381,0.85,1,0.5,0.869565,1,0.5] precision 0.841732 [1,0.708333,0.857143,1,0.933333,0.95,0.578947,0.869565,1,0.52] predictive_accuracy 0.825 predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.885 predictive_accuracy 0.8 predictive_accuracy 0.855 predictive_accuracy 0.82 predictive_accuracy 0.88 predictive_accuracy 0.85 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 0.825 [0.95,0.9,0.95,0.8,0.9,1,0.45,0.9,1,0.4] recall 0.83 [1,0.8,0.95,0.8,0.75,0.9,0.55,0.95,0.95,0.65] recall 0.835 [1,0.8,0.95,0.85,0.95,0.9,0.65,0.85,1,0.4] recall 0.885 [1,0.75,0.95,1,0.9,0.9,0.75,0.85,0.95,0.8] recall 0.8 [1,0.65,0.95,0.85,0.8,0.85,0.55,0.9,1,0.45] recall 0.855 [1,0.8,0.95,0.9,0.8,1,0.7,1,1,0.4] recall 0.82 [1,0.75,0.85,0.95,0.8,0.9,0.6,1,1,0.35] recall 0.88 [1,0.8,1,0.95,0.65,0.95,0.8,1,0.95,0.7] recall 0.85 [1,0.75,1,1,0.85,0.9,0.35,1,1,0.65] recall 0.825 [1,0.85,0.9,0.75,0.7,0.95,0.55,1,0.9,0.65] relative_absolute_error 0.894197 relative_absolute_error 0.894568 relative_absolute_error 0.896667 relative_absolute_error 0.892716 relative_absolute_error 0.895432 relative_absolute_error 0.894074 relative_absolute_error 0.894691 relative_absolute_error 0.893333 relative_absolute_error 0.894691 relative_absolute_error 0.896173 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 0.273634 root_mean_squared_error 0.273802 root_mean_squared_error 0.274454 root_mean_squared_error 0.273232 root_mean_squared_error 0.274073 root_mean_squared_error 0.273569 root_mean_squared_error 0.273841 root_mean_squared_error 0.273379 root_mean_squared_error 0.273807 root_mean_squared_error 0.274318 root_relative_squared_error 0.912113 root_relative_squared_error 0.912673 root_relative_squared_error 0.914846 root_relative_squared_error 0.910774 root_relative_squared_error 0.913577 root_relative_squared_error 0.911897 root_relative_squared_error 0.912805 root_relative_squared_error 0.911262 root_relative_squared_error 0.912691 root_relative_squared_error 0.914393 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 1470 usercpu_time_millis 600 usercpu_time_millis 520 usercpu_time_millis 510 usercpu_time_millis 600 usercpu_time_millis 490 usercpu_time_millis 770 usercpu_time_millis 510 usercpu_time_millis 530 usercpu_time_millis 550 usercpu_time_millis_testing 40 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 1430 usercpu_time_millis_training 590 usercpu_time_millis_training 520 usercpu_time_millis_training 510 usercpu_time_millis_training 590 usercpu_time_millis_training 480 usercpu_time_millis_training 770 usercpu_time_millis_training 500 usercpu_time_millis_training 530 usercpu_time_millis_training 550