2298202 1856 Miguel Cachada 18 Supervised Classification 5920 weka.MultilayerPerceptron(8) 385896 weka.classifiers.functions.MultilayerPerceptron -- -L 0.3 -M 0.2 -N 100 -V 0 -S 0 -E 20 -H o -D L 0.3 5920 M 0.2 5920 N 100 5920 V 0 5920 S 0 5920 E 20 5920 H o 5920 D true 5920 study_70 weka weka_3.8.1 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 5552197 description https://api.openml.org/data/download/5552197/weka_generated_run3279538435177985606.xml -1 5552199 model_readable https://api.openml.org/data/download/5552199/WekaModel_weka.classifiers.functions.MultilayerPerceptron2756047647951550060.model -1 5552198 model_serialized https://api.openml.org/data/download/5552198/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron4187580247055976661.model -1 5552200 predictions https://api.openml.org/data/download/5552200/weka_generated_predictions7862431676551950998.arff area_under_roc_curve 0.950779 [0.98845,0.992219,0.9481,0.894825,0.937747,0.941525,0.939501,0.956164,0.990481,0.918774] average_cost 0 f_measure 0.67446 [0.992443,0.915663,0.683438,0.435045,0.56383,0.566038,0.619231,0.686499,0.979592,0.302817] kappa 0.655 kb_relative_information_score 1163.573018 mean_absolute_error 0.116901 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.688604 [1,0.883721,0.588448,0.549618,0.602273,0.614035,0.503125,0.632911,1,0.511905] predictive_accuracy 0.6895 prior_entropy 3.321928 recall 0.6895 [0.985,0.95,0.815,0.36,0.53,0.525,0.805,0.75,0.96,0.215] relative_absolute_error 0.649449 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.220554 root_relative_squared_error 0.735181 total_cost 0 area_under_roc_curve 0.930028 [0.960278,0.985556,0.916389,0.845833,0.927222,0.935,0.977222,0.935556,1,0.817222] area_under_roc_curve 0.958028 [1,0.996389,0.9475,0.932778,0.922222,0.941389,0.945694,0.959722,0.992222,0.942361] area_under_roc_curve 0.9485 [0.958333,0.997778,0.975,0.931667,0.948056,0.904167,0.899306,0.953611,1,0.917083] area_under_roc_curve 0.955375 [1,0.998611,0.920417,0.882778,0.953889,0.966667,0.940417,0.958056,0.994444,0.938472] area_under_roc_curve 0.950306 [1,1,0.959444,0.852222,0.947222,0.935278,0.945833,0.942222,0.983333,0.9375] area_under_roc_curve 0.962583 [1,0.993611,0.955556,0.929722,0.956667,0.936944,0.95375,0.964444,1,0.935139] area_under_roc_curve 0.949278 [0.965833,0.994444,0.946111,0.911111,0.956667,0.941389,0.931806,0.957222,1,0.888194] area_under_roc_curve 0.958861 [1,0.995556,0.974444,0.906111,0.940556,0.951667,0.932917,0.973056,0.966667,0.947639] area_under_roc_curve 0.945944 [1,0.98,0.951667,0.893889,0.8875,0.944444,0.935556,0.956389,0.983333,0.926667] area_under_roc_curve 0.958361 [1,0.980556,0.965833,0.894444,0.952778,0.953611,0.944861,0.969167,0.983611,0.93875] 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 0.684372 [0.974359,0.878049,0.636364,0.424242,0.6,0.594595,0.444444,0.625,1,0.666667] f_measure 0.649647 [1,0.926829,0.612245,0.451613,0.5,0.444444,0.553191,0.680851,0.974359,0.352941] f_measure 0.650577 [0.974359,0.909091,0.641509,0.540541,0.578947,0.457143,0.530612,0.666667,1,0.206897] f_measure 0.695127 [1,0.904762,0.680851,0.457143,0.514286,0.722222,0.690909,0.636364,0.974359,0.37037] f_measure 0.680922 [1,0.97561,0.697674,0.388889,0.594595,0.628571,0.642857,0.666667,0.974359,0.24] f_measure 0.648087 [1,0.926829,0.727273,0.352941,0.451613,0.521739,0.677966,0.727273,1,0.095238] f_measure 0.69881 [0.974359,0.863636,0.75,0.457143,0.615385,0.540541,0.703704,0.75,1,0.333333] f_measure 0.66858 [1,0.926829,0.734694,0.451613,0.578947,0.529412,0.655738,0.765957,0.947368,0.095238] f_measure 0.668398 [1,0.9,0.695652,0.482759,0.55814,0.702703,0.555556,0.666667,0.974359,0.148148] f_measure 0.642397 [1,0.95,0.666667,0.333333,0.615385,0.526316,0.62069,0.684211,0.947368,0.08] kappa 0.661111 kappa 0.622222 kappa 0.627778 kappa 0.677778 kappa 0.666667 kappa 0.65 kappa 0.688889 kappa 0.672222 kappa 0.65 kappa 0.633333 kb_relative_information_score 116.627041 kb_relative_information_score 118.276117 kb_relative_information_score 116.243344 kb_relative_information_score 115.921772 kb_relative_information_score 115.150615 kb_relative_information_score 118.308187 kb_relative_information_score 116.675834 kb_relative_information_score 117.939573 kb_relative_information_score 112.670277 kb_relative_information_score 115.760258 mean_absolute_error 0.1144 mean_absolute_error 0.115334 mean_absolute_error 0.11712 mean_absolute_error 0.117412 mean_absolute_error 0.117417 mean_absolute_error 0.116095 mean_absolute_error 0.117426 mean_absolute_error 0.116318 mean_absolute_error 0.119481 mean_absolute_error 0.118005 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 0.716724 [1,0.857143,0.583333,0.538462,0.6,0.647059,0.857143,0.535714,1,0.548387] precision 0.662351 [1,0.904762,0.517241,0.636364,0.5625,0.5,0.481481,0.592593,1,0.428571] precision 0.661277 [1,0.833333,0.515152,0.588235,0.611111,0.533333,0.448276,0.75,1,0.333333] precision 0.724254 [1,0.863636,0.592593,0.533333,0.6,0.8125,0.542857,0.583333,1,0.714286] precision 0.709388 [1,0.952381,0.652174,0.4375,0.647059,0.733333,0.5,0.571429,1,0.6] precision 0.727739 [1,0.904762,0.666667,0.428571,0.636364,0.461538,0.512821,0.666667,1,1] precision 0.749649 [1,0.791667,0.642857,0.533333,0.631579,0.588235,0.558824,0.75,1,1] precision 0.757025 [1,0.904762,0.62069,0.636364,0.611111,0.642857,0.487805,0.666667,1,1] precision 0.69065 [1,0.9,0.615385,0.777778,0.521739,0.764706,0.441176,0.6,1,0.285714] precision 0.656245 [1,0.95,0.529412,0.5,0.631579,0.555556,0.473684,0.722222,1,0.2] predictive_accuracy 0.695 predictive_accuracy 0.66 predictive_accuracy 0.665 predictive_accuracy 0.71 predictive_accuracy 0.7 predictive_accuracy 0.685 predictive_accuracy 0.72 predictive_accuracy 0.705 predictive_accuracy 0.685 predictive_accuracy 0.67 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 0.695 [0.95,0.9,0.7,0.35,0.6,0.55,0.3,0.75,1,0.85] recall 0.66 [1,0.95,0.75,0.35,0.45,0.4,0.65,0.8,0.95,0.3] recall 0.665 [0.95,1,0.85,0.5,0.55,0.4,0.65,0.6,1,0.15] recall 0.71 [1,0.95,0.8,0.4,0.45,0.65,0.95,0.7,0.95,0.25] recall 0.7 [1,1,0.75,0.35,0.55,0.55,0.9,0.8,0.95,0.15] recall 0.685 [1,0.95,0.8,0.3,0.35,0.6,1,0.8,1,0.05] recall 0.72 [0.95,0.95,0.9,0.4,0.6,0.5,0.95,0.75,1,0.2] recall 0.705 [1,0.95,0.9,0.35,0.55,0.45,1,0.9,0.9,0.05] recall 0.685 [1,0.9,0.8,0.35,0.6,0.65,0.75,0.75,0.95,0.1] recall 0.67 [1,0.95,0.9,0.25,0.6,0.5,0.9,0.65,0.9,0.05] relative_absolute_error 0.635554 relative_absolute_error 0.640747 relative_absolute_error 0.650665 relative_absolute_error 0.652291 relative_absolute_error 0.652316 relative_absolute_error 0.644974 relative_absolute_error 0.652364 relative_absolute_error 0.646213 relative_absolute_error 0.663781 relative_absolute_error 0.655581 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 0.221608 root_mean_squared_error 0.2191 root_mean_squared_error 0.220721 root_mean_squared_error 0.220616 root_mean_squared_error 0.221308 root_mean_squared_error 0.21778 root_mean_squared_error 0.220491 root_mean_squared_error 0.218531 root_mean_squared_error 0.224203 root_mean_squared_error 0.221118 root_relative_squared_error 0.738693 root_relative_squared_error 0.730332 root_relative_squared_error 0.735735 root_relative_squared_error 0.735388 root_relative_squared_error 0.737695 root_relative_squared_error 0.725934 root_relative_squared_error 0.734969 root_relative_squared_error 0.728436 root_relative_squared_error 0.747344 root_relative_squared_error 0.737061 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