593848 2 Joaquin Vanschoren 14 Supervised Classification 4027 weka.FilteredClassifier_NaiveBayes(1) 6409 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.MultiFilter -F \"weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate \" -F \"weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\\\'T\\\'HH:mm:ss\" -F \"weka.filters.unsupervised.attribute.RemoveUseless -M 99.0\"" -W weka.classifiers.bayes.NaiveBayes F weka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0" 4027 W weka.classifiers.bayes.NaiveBayes 4027 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 2058410 description https://api.openml.org/data/download/2058410/weka_generated_run7060362611284883093.xml -1 2058413 model_readable https://api.openml.org/data/download/2058413/WekaModel_weka.classifiers.meta.FilteredClassifier573468664695819108.model -1 2058412 model_serialized https://api.openml.org/data/download/2058412/WekaSerialized_weka.classifiers.meta.FilteredClassifier1287676995212875394.model -1 2058411 predictions https://api.openml.org/data/download/2058411/weka_generated_predictions4894890055024936291.arff area_under_roc_curve 0.955128 [0.99,0.925317,0.982214,0.965435,0.928899,0.984131,0.911981,0.962383,0.988931,0.911987] average_cost 0 f_measure 0.760337 [0.966408,0.656904,0.904762,0.832,0.717557,0.868486,0.45953,0.801932,0.953086,0.442708] kappa 0.732778 kb_relative_information_score 1546.169681 mean_absolute_error 0.048256 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.766949 [1,0.564748,0.960674,0.891429,0.73057,0.862069,0.480874,0.775701,0.941463,0.461957] predictive_accuracy 0.7595 prior_entropy 3.321928 recall 0.7595 [0.935,0.785,0.855,0.78,0.705,0.875,0.44,0.83,0.965,0.425] relative_absolute_error 0.268087 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.199245 root_relative_squared_error 0.664149 scimark_benchmark 901.457988 [561.3905944076963, 1011.2594872886406, 485.85602057287946, 908.6447170417716, 1540.1391222386262] total_cost 0 usercpu_time_millis 410 usercpu_time_millis_testing 350 usercpu_time_millis_training 60 area_under_roc_curve 0.950042 [0.975,0.941111,0.994167,0.936667,0.930278,0.998889,0.851389,0.962222,0.995972,0.914722] area_under_roc_curve 0.953556 [1,0.931944,0.971389,0.968056,0.888611,0.9925,0.939167,0.936111,0.974306,0.933472] area_under_roc_curve 0.950153 [0.95,0.930833,0.997917,0.920972,0.948194,0.966667,0.906111,0.93875,0.996806,0.945278] area_under_roc_curve 0.965319 [1,0.921111,0.997222,0.989722,0.978889,0.995833,0.929028,0.914444,0.973889,0.953056] area_under_roc_curve 0.939292 [1,0.861389,0.970556,0.919167,0.926389,0.984583,0.889444,0.935833,1,0.905556] area_under_roc_curve 0.960292 [1,0.923472,1,0.962639,0.937778,0.970694,0.912222,0.990833,1,0.905278] area_under_roc_curve 0.958306 [1,0.901806,0.973056,0.990417,0.917222,0.965833,0.939167,0.986667,0.999722,0.909167] area_under_roc_curve 0.975681 [1,0.957361,0.998611,0.993889,0.951389,0.994444,0.935278,0.989028,0.999722,0.937083] area_under_roc_curve 0.965583 [1,0.92125,1,0.990278,0.927639,0.966111,0.955833,0.990556,1,0.904167] area_under_roc_curve 0.938097 [0.975,0.964722,0.916944,0.985833,0.889861,0.999722,0.885278,0.983889,0.948889,0.830833] 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 0.71083 [0.947368,0.641509,0.820513,0.842105,0.810811,0.95,0.157895,0.685714,0.952381,0.3] f_measure 0.75719 [1,0.638298,0.894737,0.923077,0.685714,0.829268,0.47619,0.780488,0.923077,0.421053] f_measure 0.769997 [0.918919,0.576923,0.888889,0.702703,0.772727,0.894737,0.631579,0.75,0.952381,0.611111] f_measure 0.779933 [0.918919,0.636364,0.888889,0.878049,0.744186,0.904762,0.611111,0.769231,0.883721,0.564103] f_measure 0.726843 [1,0.595745,0.864865,0.777778,0.604651,0.790698,0.461538,0.809524,1,0.363636] f_measure 0.748843 [0.974359,0.727273,1,0.8,0.65,0.878049,0.368421,0.844444,0.97561,0.27027] f_measure 0.778326 [0.947368,0.697674,0.918919,0.857143,0.702703,0.809524,0.594595,0.818182,0.97561,0.461538] f_measure 0.795391 [1,0.693878,0.923077,0.9,0.742857,0.842105,0.577778,0.829268,0.974359,0.470588] f_measure 0.789867 [0.974359,0.666667,0.947368,0.857143,0.731707,0.842105,0.424242,0.883721,0.97561,0.595745] f_measure 0.735848 [0.974359,0.703704,0.894737,0.75,0.736842,0.95,0.27027,0.818182,0.918919,0.341463] kappa 0.677778 kappa 0.727778 kappa 0.738889 kappa 0.755556 kappa 0.7 kappa 0.727778 kappa 0.755556 kappa 0.772222 kappa 0.766667 kappa 0.705556 kb_relative_information_score 146.569624 kb_relative_information_score 156.137975 kb_relative_information_score 153.208391 kb_relative_information_score 154.841813 kb_relative_information_score 146.281856 kb_relative_information_score 156.087063 kb_relative_information_score 158.82362 kb_relative_information_score 164.734578 kb_relative_information_score 161.610314 kb_relative_information_score 147.874445 mean_absolute_error 0.055051 mean_absolute_error 0.048119 mean_absolute_error 0.050391 mean_absolute_error 0.047814 mean_absolute_error 0.054815 mean_absolute_error 0.046533 mean_absolute_error 0.044745 mean_absolute_error 0.039255 mean_absolute_error 0.042662 mean_absolute_error 0.053174 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 0.725426 [1,0.515152,0.842105,0.888889,0.882353,0.95,0.166667,0.8,0.909091,0.3] precision 0.766516 [1,0.555556,0.944444,0.947368,0.8,0.809524,0.454545,0.761905,0.947368,0.444444] precision 0.789949 [1,0.46875,1,0.764706,0.708333,0.944444,0.666667,0.75,0.909091,0.6875] precision 0.788177 [1,0.583333,1,0.857143,0.695652,0.863636,0.6875,0.789474,0.826087,0.578947] precision 0.734699 [1,0.518519,0.941176,0.875,0.565217,0.73913,0.473684,0.772727,1,0.461538] precision 0.750253 [1,0.666667,1,0.933333,0.65,0.857143,0.388889,0.76,0.952381,0.294118] precision 0.783091 [1,0.652174,1,0.818182,0.764706,0.772727,0.647059,0.75,0.952381,0.473684] precision 0.809008 [1,0.586207,0.947368,0.9,0.866667,0.888889,0.52,0.809524,1,0.571429] precision 0.803862 [1,0.6,1,1,0.714286,0.888889,0.538462,0.826087,0.952381,0.518519] precision 0.76085 [1,0.558824,0.944444,1,0.777778,0.95,0.294118,0.75,1,0.333333] predictive_accuracy 0.71 predictive_accuracy 0.755 predictive_accuracy 0.765 predictive_accuracy 0.78 predictive_accuracy 0.73 predictive_accuracy 0.755 predictive_accuracy 0.78 predictive_accuracy 0.795 predictive_accuracy 0.79 predictive_accuracy 0.735 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 0.71 [0.9,0.85,0.8,0.8,0.75,0.95,0.15,0.6,1,0.3] recall 0.755 [1,0.75,0.85,0.9,0.6,0.85,0.5,0.8,0.9,0.4] recall 0.765 [0.85,0.75,0.8,0.65,0.85,0.85,0.6,0.75,1,0.55] recall 0.78 [0.85,0.7,0.8,0.9,0.8,0.95,0.55,0.75,0.95,0.55] recall 0.73 [1,0.7,0.8,0.7,0.65,0.85,0.45,0.85,1,0.3] recall 0.755 [0.95,0.8,1,0.7,0.65,0.9,0.35,0.95,1,0.25] recall 0.78 [0.9,0.75,0.85,0.9,0.65,0.85,0.55,0.9,1,0.45] recall 0.795 [1,0.85,0.9,0.9,0.65,0.8,0.65,0.85,0.95,0.4] recall 0.79 [0.95,0.75,0.9,0.75,0.75,0.8,0.35,0.95,1,0.7] recall 0.735 [0.95,0.95,0.85,0.6,0.7,0.95,0.25,0.9,0.85,0.35] relative_absolute_error 0.305839 relative_absolute_error 0.267329 relative_absolute_error 0.279949 relative_absolute_error 0.265631 relative_absolute_error 0.304526 relative_absolute_error 0.258514 relative_absolute_error 0.248585 relative_absolute_error 0.218082 relative_absolute_error 0.237009 relative_absolute_error 0.29541 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 0.216865 root_mean_squared_error 0.194945 root_mean_squared_error 0.201399 root_mean_squared_error 0.195948 root_mean_squared_error 0.218611 root_mean_squared_error 0.197053 root_mean_squared_error 0.189884 root_mean_squared_error 0.17636 root_mean_squared_error 0.181378 root_mean_squared_error 0.215212 root_relative_squared_error 0.722883 root_relative_squared_error 0.649817 root_relative_squared_error 0.671329 root_relative_squared_error 0.653161 root_relative_squared_error 0.728702 root_relative_squared_error 0.656842 root_relative_squared_error 0.632946 root_relative_squared_error 0.587867 root_relative_squared_error 0.604594 root_relative_squared_error 0.717375 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 90 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 110 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis_testing 30 usercpu_time_millis_testing 60 usercpu_time_millis_testing 60 usercpu_time_millis_testing 60 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_training 60 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 60 usercpu_time_millis_training 60 usercpu_time_millis_training 60