2298242 1856 Miguel Cachada 32 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 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 5552283 description https://api.openml.org/data/download/5552283/weka_generated_run4445026457865398043.xml -1 5552285 model_readable https://api.openml.org/data/download/5552285/WekaModel_weka.classifiers.functions.MultilayerPerceptron1374813326613469375.model -1 5552284 model_serialized https://api.openml.org/data/download/5552284/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron325547405774483309.model -1 5552286 predictions https://api.openml.org/data/download/5552286/weka_generated_predictions2324355818609940835.arff area_under_roc_curve 0.962812 [0.990605,0.978463,0.998315,0.99574,0.999396,0.675541,0.998786,0.994305,0.99224,0.992396] average_cost 0 f_measure 0.924689 [0.968366,0.910326,0.973513,0.929401,0.975484,0.736471,0.929677,0.974812,0.953333,0.880519] kappa 0.919931 kb_relative_information_score 9822.107491 mean_absolute_error 0.029183 mean_prior_absolute_error 0.179968 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.933124 [0.972639,0.943662,0.967213,0.879121,0.960203,0.970543,0.872199,0.983943,0.957895,0.810359] predictive_accuracy 0.927948 prior_entropy 3.320774 recall 0.927948 [0.964129,0.879265,0.979895,0.985782,0.991259,0.593365,0.995265,0.965849,0.948815,0.963981] relative_absolute_error 0.162154 root_mean_prior_squared_error 0.299973 root_mean_squared_error 0.11131 root_relative_squared_error 0.371066 total_cost 0 area_under_roc_curve 0.963541 [0.993008,0.981833,0.999885,0.998947,0.99734,0.672922,0.999715,0.998496,0.992246,0.986447] area_under_roc_curve 0.963654 [0.968793,0.958249,0.993785,0.992659,0.999448,0.733295,0.999715,0.992509,0.995596,0.993129] area_under_roc_curve 0.960696 [0.994963,0.988672,0.999302,0.994433,0.999706,0.643969,0.999693,0.994256,0.989968,0.985878] area_under_roc_curve 0.970029 [0.994363,0.986338,0.999314,0.991885,0.999258,0.73326,0.994577,0.995405,0.998927,0.997873] area_under_roc_curve 0.959323 [0.990017,0.981752,0.998709,0.997729,0.998931,0.660387,0.999339,0.99081,0.976737,0.986692] area_under_roc_curve 0.961485 [0.987951,0.975296,0.999947,0.999173,0.999956,0.666752,0.996215,0.984745,0.999377,0.995343] area_under_roc_curve 0.964386 [0.987354,0.975857,0.999047,0.998071,0.999797,0.693928,0.999553,0.995939,0.990447,0.993782] area_under_roc_curve 0.956853 [0.999305,0.984215,0.997774,0.992656,0.999644,0.589751,0.999629,0.998611,0.999031,0.993523] area_under_roc_curve 0.958833 [0.993739,0.979036,0.997702,0.992699,1,0.629233,0.999401,0.99862,0.988067,0.993521] area_under_roc_curve 0.968013 [0.994915,0.971293,0.998038,0.997068,0.999653,0.722459,0.99962,0.994862,0.995193,0.995744] 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 0.919735 [0.947826,0.920354,0.982906,0.949309,0.969957,0.707317,0.963636,0.978166,0.92823,0.831933] f_measure 0.927085 [0.951111,0.9,0.969432,0.949772,0.961702,0.786127,0.963303,0.96,0.949309,0.870293] f_measure 0.922208 [0.965517,0.941176,0.991379,0.941176,0.969697,0.707317,0.913043,0.968889,0.933962,0.869565] f_measure 0.939277 [0.973451,0.91453,0.973684,0.95814,0.982759,0.804469,0.958525,0.968889,0.957346,0.891775] f_measure 0.914702 [0.964912,0.899083,0.95279,0.925764,0.978355,0.701149,0.932735,0.982301,0.941748,0.852174] f_measure 0.930173 [0.977974,0.914027,0.982301,0.920354,0.9869,0.752941,0.87395,0.977778,0.981132,0.919643] f_measure 0.925862 [0.969163,0.90566,0.969957,0.933333,0.962343,0.751445,0.917749,0.977778,0.956522,0.902655] f_measure 0.921017 [0.9869,0.912442,0.969432,0.889831,0.991304,0.666667,0.929825,0.982456,0.985782,0.877193] f_measure 0.923693 [0.986784,0.914027,0.978355,0.907489,0.991304,0.695122,0.917749,0.969163,0.961538,0.896552] f_measure 0.923215 [0.96,0.880734,0.964912,0.923767,0.961702,0.779661,0.933333,0.982456,0.937198,0.896552] kappa 0.915128 kappa 0.921202 kappa 0.918093 kappa 0.934273 kappa 0.909 kappa 0.925183 kappa 0.921131 kappa 0.9181 kappa 0.920116 kappa 0.917086 kb_relative_information_score 981.073554 kb_relative_information_score 984.761385 kb_relative_information_score 975.385212 kb_relative_information_score 997.919919 kb_relative_information_score 974.038907 kb_relative_information_score 985.32229 kb_relative_information_score 983.386135 kb_relative_information_score 979.212724 kb_relative_information_score 980.205009 kb_relative_information_score 980.802355 mean_absolute_error 0.029441 mean_absolute_error 0.028841 mean_absolute_error 0.030568 mean_absolute_error 0.026733 mean_absolute_error 0.03016 mean_absolute_error 0.02857 mean_absolute_error 0.028695 mean_absolute_error 0.029337 mean_absolute_error 0.029733 mean_absolute_error 0.029746 mean_prior_absolute_error 0.179968 mean_prior_absolute_error 0.179968 mean_prior_absolute_error 0.179966 mean_prior_absolute_error 0.179966 mean_prior_absolute_error 0.179967 mean_prior_absolute_error 0.179967 mean_prior_absolute_error 0.179969 mean_prior_absolute_error 0.17997 mean_prior_absolute_error 0.17997 mean_prior_absolute_error 0.179969 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.929945 [0.947826,0.928571,0.966387,0.919643,0.94958,0.983051,0.929825,0.973913,0.941748,0.75] precision 0.935548 [0.972727,0.933962,0.973684,0.912281,0.933884,1,0.9375,0.972973,0.927928,0.781955] precision 0.932846 [0.957265,0.971963,0.982906,0.896552,0.957265,0.983051,0.84,0.990909,0.925234,0.806452] precision 0.945059 [0.982143,0.89916,0.973684,0.936364,0.974359,0.986301,0.928571,0.990909,0.95283,0.81746] precision 0.921659 [0.964912,0.951456,0.932773,0.861789,0.974138,0.897059,0.881356,0.991071,0.960396,0.784] precision 0.941232 [0.982301,0.95283,0.991071,0.866667,0.991228,1,0.781955,0.990991,0.971963,0.865546] precision 0.93467 [0.973451,0.979592,0.94958,0.882353,0.927419,0.970149,0.848,0.990991,0.970588,0.842975] precision 0.933525 [0.982609,0.961165,0.965217,0.807692,0.982759,0.964286,0.868852,0.982456,0.990476,0.813008] precision 0.934197 [0.99115,0.943925,0.965812,0.85124,0.982759,0.966102,0.848,0.973451,0.980392,0.825397] precision 0.929627 [0.972973,0.923077,0.973451,0.872881,0.933884,0.958333,0.882353,0.982456,0.960396,0.825397] predictive_accuracy 0.923636 predictive_accuracy 0.929091 predictive_accuracy 0.926297 predictive_accuracy 0.940855 predictive_accuracy 0.918107 predictive_accuracy 0.932666 predictive_accuracy 0.929026 predictive_accuracy 0.926297 predictive_accuracy 0.928116 predictive_accuracy 0.925387 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 recall 0.923636 [0.947826,0.912281,1,0.980952,0.991228,0.552381,1,0.982456,0.915094,0.933962] recall 0.929091 [0.930435,0.868421,0.965217,0.990476,0.991228,0.647619,0.990566,0.947368,0.971698,0.981132] recall 0.926297 [0.973913,0.912281,1,0.990476,0.982456,0.552381,1,0.947826,0.942857,0.943396] recall 0.940855 [0.964912,0.930435,0.973684,0.980952,0.991304,0.679245,0.990476,0.947826,0.961905,0.980952] recall 0.918107 [0.964912,0.852174,0.973684,1,0.982609,0.575472,0.990476,0.973684,0.92381,0.933333] recall 0.932666 [0.973684,0.878261,0.973684,0.981132,0.982609,0.603774,0.990476,0.964912,0.990476,0.980952] recall 0.929026 [0.964912,0.842105,0.991228,0.990566,1,0.613208,1,0.964912,0.942857,0.971429] recall 0.926297 [0.991228,0.868421,0.973684,0.990566,1,0.509434,1,0.982456,0.981132,0.952381] recall 0.928116 [0.982456,0.885965,0.991228,0.971698,1,0.542857,1,0.964912,0.943396,0.981132] recall 0.925387 [0.947368,0.842105,0.956522,0.980952,0.991228,0.657143,0.990566,0.982456,0.915094,0.981132] relative_absolute_error 0.16359 relative_absolute_error 0.160256 relative_absolute_error 0.169857 relative_absolute_error 0.148546 relative_absolute_error 0.167587 relative_absolute_error 0.15875 relative_absolute_error 0.159445 relative_absolute_error 0.163012 relative_absolute_error 0.165212 relative_absolute_error 0.165286 root_mean_prior_squared_error 0.299973 root_mean_prior_squared_error 0.299973 root_mean_prior_squared_error 0.29997 root_mean_prior_squared_error 0.29997 root_mean_prior_squared_error 0.299972 root_mean_prior_squared_error 0.299972 root_mean_prior_squared_error 0.299974 root_mean_prior_squared_error 0.299977 root_mean_prior_squared_error 0.299977 root_mean_prior_squared_error 0.299974 root_mean_squared_error 0.112919 root_mean_squared_error 0.110475 root_mean_squared_error 0.114573 root_mean_squared_error 0.100647 root_mean_squared_error 0.11742 root_mean_squared_error 0.108907 root_mean_squared_error 0.111532 root_mean_squared_error 0.113 root_mean_squared_error 0.111539 root_mean_squared_error 0.111306 root_relative_squared_error 0.376431 root_relative_squared_error 0.368284 root_relative_squared_error 0.38195 root_relative_squared_error 0.335525 root_relative_squared_error 0.391438 root_relative_squared_error 0.363056 root_relative_squared_error 0.371806 root_relative_squared_error 0.376694 root_relative_squared_error 0.371827 root_relative_squared_error 0.371051 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