2297948 1856 Miguel Cachada 32 Supervised Classification 5920 weka.MultilayerPerceptron(8) 385773 weka.classifiers.functions.MultilayerPerceptron -- -L 0.3 -M 0.2 -N 100 -V 0 -S 0 -E 20 -H a -D L 0.3 5920 M 0.2 5920 N 100 5920 V 0 5920 S 0 5920 E 20 5920 H a 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 5551641 description https://api.openml.org/data/download/5551641/weka_generated_run6767051406044339056.xml -1 5551643 model_readable https://api.openml.org/data/download/5551643/WekaModel_weka.classifiers.functions.MultilayerPerceptron6733119283291350633.model -1 5551642 model_serialized https://api.openml.org/data/download/5551642/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron2088340164031747603.model -1 5551644 predictions https://api.openml.org/data/download/5551644/weka_generated_predictions7560146612027541244.arff area_under_roc_curve 0.964823 [0.985842,0.995167,0.999208,0.996589,0.999554,0.672771,0.998869,0.995835,0.997565,0.994121] average_cost 0 f_measure 0.937142 [0.976127,0.947687,0.98523,0.95386,0.963876,0.740785,0.948938,0.975221,0.957655,0.908448] kappa 0.934382 kb_relative_information_score 9971.130219 mean_absolute_error 0.026095 mean_prior_absolute_error 0.179968 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.944867 [0.986595,0.936752,0.979275,0.920635,0.937965,0.99362,0.907519,0.985689,0.940585,0.851575] predictive_accuracy 0.940957 prior_entropy 3.320774 recall 0.940957 [0.965879,0.95888,0.991259,0.989573,0.991259,0.590521,0.994318,0.964974,0.975355,0.97346] relative_absolute_error 0.145 root_mean_prior_squared_error 0.299973 root_mean_squared_error 0.101165 root_relative_squared_error 0.337246 total_cost 0 area_under_roc_curve 0.961935 [0.992064,0.999617,0.999859,0.999904,0.999333,0.631409,0.999924,0.999733,0.999108,0.981341] area_under_roc_curve 0.964742 [0.959002,0.998354,0.993194,0.992094,0.999235,0.701771,0.999943,0.999404,0.996289,0.996223] area_under_roc_curve 0.961671 [0.987301,0.994158,0.999063,0.996417,0.999617,0.642014,0.999923,0.995135,0.997317,0.990262] area_under_roc_curve 0.970755 [0.996482,0.992718,0.999599,0.991933,0.999629,0.736106,0.993849,0.99954,0.990414,0.99725] area_under_roc_curve 0.963941 [0.981931,0.999434,0.999982,0.999667,0.99977,0.664643,0.999013,0.992635,0.997557,0.993398] area_under_roc_curve 0.967044 [0.983587,0.997764,0.999982,0.999582,0.999903,0.698745,0.998707,0.985377,0.999751,0.997423] area_under_roc_curve 0.967977 [0.982723,0.996384,0.99984,0.999268,0.999779,0.700488,0.999696,0.995823,0.999186,0.996685] area_under_roc_curve 0.960558 [0.997613,0.988868,0.999813,0.999363,0.999804,0.61049,0.999268,0.999466,0.999496,0.997959] area_under_roc_curve 0.961506 [0.991856,0.997836,0.999884,0.988196,0.999938,0.6286,0.999192,0.999225,0.995079,0.998432] area_under_roc_curve 0.969819 [0.987212,0.988182,0.999973,0.999061,0.998531,0.724346,0.999819,0.993926,0.999316,0.996542] 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 0.937206 [0.960699,0.945607,0.987013,0.981132,0.978355,0.711656,0.963636,0.982759,0.976526,0.869565] f_measure 0.940467 [0.963964,0.925,0.973913,0.967442,0.965517,0.786127,0.985915,0.960352,0.967742,0.900433] f_measure 0.929456 [0.977974,0.939655,0.991379,0.945455,0.94958,0.699387,0.933333,0.959641,0.962617,0.919643] f_measure 0.947178 [0.99115,0.939655,0.9869,0.945455,0.978166,0.804469,0.936937,0.973913,0.980769,0.923767] f_measure 0.934789 [0.969432,0.961039,0.987013,0.963636,0.978541,0.72619,0.936937,0.986784,0.922374,0.899083] f_measure 0.941083 [0.964286,0.969432,0.991228,0.958904,0.962343,0.752941,0.933333,0.977578,0.971963,0.9163] f_measure 0.939404 [0.973451,0.965217,0.9869,0.958904,0.934959,0.760234,0.963303,0.96861,0.95283,0.919643] f_measure 0.930857 [0.991228,0.946903,0.978166,0.959276,0.982609,0.666667,0.929825,0.986667,0.933333,0.9163] f_measure 0.936871 [0.995595,0.953191,0.991228,0.928571,0.987013,0.703704,0.933921,0.977578,0.957346,0.921739] f_measure 0.934042 [0.973214,0.931507,0.978723,0.931507,0.92623,0.781609,0.976526,0.977974,0.953704,0.898678] kappa 0.935331 kappa 0.936348 kappa 0.927188 kappa 0.943373 kappa 0.932247 kappa 0.938318 kappa 0.936289 kappa 0.930231 kappa 0.93528 kappa 0.929211 kb_relative_information_score 995.009511 kb_relative_information_score 999.325573 kb_relative_information_score 990.526004 kb_relative_information_score 1003.145261 kb_relative_information_score 995.813158 kb_relative_information_score 1003.855302 kb_relative_information_score 1001.054778 kb_relative_information_score 990.795421 kb_relative_information_score 993.456186 kb_relative_information_score 998.149025 mean_absolute_error 0.026867 mean_absolute_error 0.026389 mean_absolute_error 0.027242 mean_absolute_error 0.02536 mean_absolute_error 0.025735 mean_absolute_error 0.02426 mean_absolute_error 0.025204 mean_absolute_error 0.027228 mean_absolute_error 0.026734 mean_absolute_error 0.025934 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 0.946732 [0.964912,0.904,0.982759,0.971963,0.965812,1,0.929825,0.966102,0.971963,0.806452] precision 0.947591 [1,0.880952,0.973913,0.945455,0.949153,1,0.981308,0.964602,0.945946,0.832] precision 0.938946 [0.991071,0.923729,0.982906,0.904348,0.91129,0.982759,0.875,0.990741,0.944954,0.872881] precision 0.952327 [1,0.931624,0.982609,0.904348,0.982456,0.986301,0.888889,0.973913,0.990291,0.872881] precision 0.942239 [0.965217,0.956897,0.974359,0.929825,0.966102,0.983871,0.888889,0.99115,0.885965,0.867257] precision 0.949605 [0.981818,0.973684,0.991228,0.929204,0.927419,1,0.875,1,0.954128,0.852459] precision 0.94708 [0.982143,0.956897,0.982609,0.929204,0.877863,1,0.9375,0.990826,0.943925,0.865546] precision 0.943429 [0.991228,0.955357,0.973913,0.921739,0.974138,1,0.868852,1,0.882353,0.852459] precision 0.947639 [1,0.92562,0.991228,0.881356,0.974359,1,0.876033,1,0.961905,0.854839] precision 0.940904 [0.990909,0.971429,0.958333,0.894737,0.869231,0.985507,0.971963,0.982301,0.936364,0.842975] predictive_accuracy 0.941818 predictive_accuracy 0.942727 predictive_accuracy 0.934486 predictive_accuracy 0.949045 predictive_accuracy 0.939035 predictive_accuracy 0.944495 predictive_accuracy 0.942675 predictive_accuracy 0.937216 predictive_accuracy 0.941765 predictive_accuracy 0.936306 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 0.941818 [0.956522,0.991228,0.991304,0.990476,0.991228,0.552381,1,1,0.981132,0.943396] recall 0.942727 [0.930435,0.973684,0.973913,0.990476,0.982456,0.647619,0.990566,0.95614,0.990566,0.981132] recall 0.934486 [0.965217,0.95614,1,0.990476,0.991228,0.542857,1,0.930435,0.980952,0.971698] recall 0.949045 [0.982456,0.947826,0.991228,0.990476,0.973913,0.679245,0.990476,0.973913,0.971429,0.980952] recall 0.939035 [0.973684,0.965217,1,1,0.991304,0.575472,0.990476,0.982456,0.961905,0.933333] recall 0.944495 [0.947368,0.965217,0.991228,0.990566,1,0.603774,1,0.95614,0.990476,0.990476] recall 0.942675 [0.964912,0.973684,0.991228,0.990566,1,0.613208,0.990566,0.947368,0.961905,0.980952] recall 0.937216 [0.991228,0.938596,0.982456,1,0.991228,0.5,1,0.973684,0.990566,0.990476] recall 0.941765 [0.991228,0.982456,0.991228,0.981132,1,0.542857,1,0.95614,0.95283,1] recall 0.936306 [0.95614,0.894737,1,0.971429,0.991228,0.647619,0.981132,0.973684,0.971698,0.962264] relative_absolute_error 0.149285 relative_absolute_error 0.14663 relative_absolute_error 0.151376 relative_absolute_error 0.140915 relative_absolute_error 0.142996 relative_absolute_error 0.134804 relative_absolute_error 0.140048 relative_absolute_error 0.151292 relative_absolute_error 0.148548 relative_absolute_error 0.144103 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 0.101638 root_mean_squared_error 0.099929 root_mean_squared_error 0.10567 root_mean_squared_error 0.097384 root_mean_squared_error 0.102454 root_mean_squared_error 0.097307 root_mean_squared_error 0.09955 root_mean_squared_error 0.103967 root_mean_squared_error 0.102693 root_mean_squared_error 0.100731 root_relative_squared_error 0.338822 root_relative_squared_error 0.333125 root_relative_squared_error 0.35227 root_relative_squared_error 0.324645 root_relative_squared_error 0.341545 root_relative_squared_error 0.324388 root_relative_squared_error 0.331861 root_relative_squared_error 0.346583 root_relative_squared_error 0.342335 root_relative_squared_error 0.3358 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