2192637 1856 Miguel Cachada 14 Supervised Classification 5926 weka.SMO_PolyKernel(15) 288758 weka.classifiers.functions.SMO -- -C 0.1 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4" C 0.1 5926 N 0 5926 L 0.001 5926 P 1.0E-12 5926 V -1 5926 W 1 5926 K weka.classifiers.functions.supportVector.PolyKernel 5926 calibrator true 5926 E 1.0 5927 C 250007 5927 study_70 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 5339253 description https://api.openml.org/data/download/5339253/weka_generated_run8798180005679504287.xml -1 5339255 model_readable https://api.openml.org/data/download/5339255/WekaModel_weka.classifiers.functions.SMO7555411072268628535.model -1 5339254 model_serialized https://api.openml.org/data/download/5339254/WekaSerialized_weka.classifiers.functions.SMO8163689919269108040.model -1 5339256 predictions https://api.openml.org/data/download/5339256/weka_generated_predictions8162633004632226026.arff area_under_roc_curve 0.962832 [0.999672,0.930329,0.989431,0.979653,0.935312,0.984149,0.926483,0.980328,0.982422,0.92054] average_cost 0 f_measure 0.81151 [0.994975,0.736077,0.944724,0.872727,0.773684,0.905941,0.475645,0.868966,0.977444,0.56492] kappa 0.792778 kb_relative_information_score 570.764028 mean_absolute_error 0.161302 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.814497 [1,0.713615,0.949495,0.908108,0.816667,0.897059,0.557047,0.804255,0.979899,0.518828] predictive_accuracy 0.8135 prior_entropy 3.321928 recall 0.8135 [0.99,0.76,0.94,0.84,0.735,0.915,0.415,0.945,0.975,0.62] relative_absolute_error 0.896123 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.274448 root_relative_squared_error 0.914826 total_cost 0 area_under_roc_curve 0.963944 [0.998333,0.939306,0.996389,0.990972,0.941528,1,0.881389,0.985972,0.997222,0.908333] area_under_roc_curve 0.965819 [1,0.959444,0.97625,0.992222,0.922361,0.979028,0.951389,0.971806,0.960556,0.945139] area_under_roc_curve 0.952875 [1,0.893333,0.995,0.928333,0.933056,0.984583,0.891528,0.963194,1,0.939722] area_under_roc_curve 0.969417 [0.998333,0.924306,0.999722,0.992917,0.970417,0.986806,0.952222,0.977361,0.960417,0.931667] area_under_roc_curve 0.961708 [1,0.897917,0.984861,0.977917,0.947083,0.985833,0.946111,0.977778,1,0.899583] area_under_roc_curve 0.966472 [1,0.932778,0.994444,0.989583,0.929722,0.986111,0.937778,0.991667,1,0.902639] area_under_roc_curve 0.965514 [1,0.941389,0.994722,0.982778,0.935,0.956111,0.943333,0.983333,1,0.918472] area_under_roc_curve 0.970472 [1,0.941389,0.996667,0.982917,0.9175,0.994167,0.936111,0.983333,0.994306,0.958333] area_under_roc_curve 0.965278 [1,0.914306,0.997222,0.995972,0.950139,0.975278,0.927361,0.986111,1,0.906389] area_under_roc_curve 0.950875 [1,0.956944,0.959306,0.970417,0.923056,0.996806,0.905972,0.986111,0.914306,0.895833] 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 0.781509 [0.974359,0.734694,0.95,0.857143,0.829268,1,0.222222,0.871795,0.97561,0.4] f_measure 0.816904 [1,0.820513,0.926829,0.894737,0.666667,0.837209,0.588235,0.818182,0.95,0.666667] f_measure 0.814722 [1,0.697674,0.974359,0.8,0.837209,0.9,0.451613,0.85,1,0.636364] f_measure 0.824058 [0.974359,0.769231,0.974359,0.926829,0.772727,0.878049,0.545455,0.871795,0.95,0.577778] f_measure 0.795656 [1,0.628571,0.974359,0.85,0.736842,0.857143,0.526316,0.833333,1,0.55] f_measure 0.812983 [1,0.780488,0.952381,0.864865,0.769231,0.923077,0.444444,0.930233,1,0.465116] f_measure 0.814552 [1,0.714286,0.918919,0.878049,0.764706,0.85,0.6,0.869565,1,0.55] f_measure 0.849464 [1,0.731707,0.95,0.871795,0.8,0.923077,0.684211,0.869565,0.95,0.714286] f_measure 0.818273 [1,0.736842,0.97561,0.95,0.705882,0.926829,0.344828,0.888889,1,0.653846] f_measure 0.776739 [1,0.73913,0.85,0.823529,0.833333,0.974359,0.294118,0.888889,0.947368,0.416667] kappa 0.761111 kappa 0.8 kappa 0.8 kappa 0.805556 kappa 0.777778 kappa 0.794444 kappa 0.794444 kappa 0.833333 kappa 0.811111 kappa 0.75 kb_relative_information_score 57.007233 kb_relative_information_score 57.07053 kb_relative_information_score 56.018226 kb_relative_information_score 57.596806 kb_relative_information_score 57.086901 kb_relative_information_score 57.351013 kb_relative_information_score 57.289966 kb_relative_information_score 57.834017 kb_relative_information_score 57.446197 kb_relative_information_score 56.063138 mean_absolute_error 0.161311 mean_absolute_error 0.161311 mean_absolute_error 0.161689 mean_absolute_error 0.161133 mean_absolute_error 0.161267 mean_absolute_error 0.161156 mean_absolute_error 0.161244 mean_absolute_error 0.160956 mean_absolute_error 0.161156 mean_absolute_error 0.1618 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 0.787733 [1,0.62069,0.95,1,0.809524,1,0.25,0.894737,0.952381,0.4] precision 0.823821 [1,0.842105,0.904762,0.944444,0.75,0.782609,0.714286,0.75,0.95,0.6] precision 0.820448 [1,0.652174,1,0.8,0.782609,0.9,0.636364,0.85,1,0.583333] precision 0.831676 [1,0.789474,1,0.904762,0.708333,0.857143,0.692308,0.894737,0.95,0.52] precision 0.799913 [1,0.733333,1,0.85,0.777778,0.818182,0.555556,0.714286,1,0.55] precision 0.815336 [1,0.761905,0.909091,0.941176,0.789474,0.947368,0.5,0.869565,1,0.434783] precision 0.823676 [1,0.681818,1,0.857143,0.928571,0.85,0.6,0.769231,1,0.55] precision 0.8563 [1,0.714286,0.95,0.894737,0.933333,0.947368,0.722222,0.769231,0.95,0.681818] precision 0.832887 [1,0.777778,0.952381,0.95,0.857143,0.904762,0.555556,0.8,1,0.53125] precision 0.795563 [1,0.653846,0.85,1,0.9375,1,0.357143,0.8,1,0.357143] predictive_accuracy 0.785 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.825 predictive_accuracy 0.8 predictive_accuracy 0.815 predictive_accuracy 0.815 predictive_accuracy 0.85 predictive_accuracy 0.83 predictive_accuracy 0.775 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 0.785 [0.95,0.9,0.95,0.75,0.85,1,0.2,0.85,1,0.4] recall 0.82 [1,0.8,0.95,0.85,0.6,0.9,0.5,0.9,0.95,0.75] recall 0.82 [1,0.75,0.95,0.8,0.9,0.9,0.35,0.85,1,0.7] recall 0.825 [0.95,0.75,0.95,0.95,0.85,0.9,0.45,0.85,0.95,0.65] recall 0.8 [1,0.55,0.95,0.85,0.7,0.9,0.5,1,1,0.55] recall 0.815 [1,0.8,1,0.8,0.75,0.9,0.4,1,1,0.5] recall 0.815 [1,0.75,0.85,0.9,0.65,0.85,0.6,1,1,0.55] recall 0.85 [1,0.75,0.95,0.85,0.7,0.9,0.65,1,0.95,0.75] recall 0.83 [1,0.7,1,0.95,0.6,0.95,0.25,1,1,0.85] recall 0.775 [1,0.85,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5] relative_absolute_error 0.896173 relative_absolute_error 0.896173 relative_absolute_error 0.898271 relative_absolute_error 0.895185 relative_absolute_error 0.895926 relative_absolute_error 0.895309 relative_absolute_error 0.895802 relative_absolute_error 0.894197 relative_absolute_error 0.895309 relative_absolute_error 0.898889 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 0.274471 root_mean_squared_error 0.274475 root_mean_squared_error 0.27515 root_mean_squared_error 0.274152 root_mean_squared_error 0.274366 root_mean_squared_error 0.274163 root_mean_squared_error 0.274348 root_mean_squared_error 0.27381 root_mean_squared_error 0.274184 root_mean_squared_error 0.275356 root_relative_squared_error 0.914903 root_relative_squared_error 0.914915 root_relative_squared_error 0.917167 root_relative_squared_error 0.913841 root_relative_squared_error 0.914552 root_relative_squared_error 0.913877 root_relative_squared_error 0.914492 root_relative_squared_error 0.9127 root_relative_squared_error 0.913946 root_relative_squared_error 0.917852 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