2040463 2742 Wouter Nuijten 145682 Supervised Classification area_under_roc_curve 5978 weka.AttributeSelectedClassifier_J48(2) 181183 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.InfoGainAttributeEval " -S "weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 5886 M 2 5886 E weka.attributeSelection.InfoGainAttributeEval 5978 S weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1 5978 W weka.classifiers.trees.J48 5978 weka weka_3.8.1 313 spectrometer https://www.openml.org/data/download/52217/phpHNcI2h -1 5030818 description https://api.openml.org/data/download/5030818/weka_generated_run6742824426954666593.xml -1 5030820 model_readable https://api.openml.org/data/download/5030820/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier751657160724172158.model -1 5030819 model_serialized https://api.openml.org/data/download/5030819/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier51479989785486926.model -1 5030821 predictions https://api.openml.org/data/download/5030821/weka_generated_predictions4318946964029507067.arff area_under_roc_curve 0.759887 [0.658144,0.498113,0.622274,0.499057,0.744802,0.498106,0.690595,0.862508,0.799599,0.779223,0.976733,0.558915,0.739087,0.730968,0.724095,0.659539,0.77352,0.710974,0.766068,0.907544,0.654534,0.693186,0.620493,0.619307,0.661932,0.499057,0.49717,0.830808,0.661616,0.532744,0.813557,0.759442,0.848495,0.994867,0.49717,0.494329,0.499057,0.496226,0.5,0.499053,0.496212,0.491493,0.499057,0.499057,0.661616,0.498113,0.495283,0.499057] average_cost 0 f_measure 0.467088 [0,0,0.190476,0,0,0,0.222222,0.692308,0.592593,0.608696,0.925926,0,0.444444,0.42623,0.45,0.125,0.457143,0.38806,0.457831,0.819048,0.210526,0.333333,0.2,0.2,0.25,0,0,0.571429,0,0,0.637363,0.486486,0.529412,0.615385,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0] kappa 0.444588 kb_relative_information_score 233.817317 mean_absolute_error 0.022469 mean_prior_absolute_error 0.039641 number_of_instances 531 [3,1,7,1,2,3,10,24,13,12,26,15,27,31,19,19,30,35,42,55,9,10,4,4,3,1,1,3,3,8,45,20,18,5,1,2,1,1,1,3,3,2,1,1,3,1,1,1] precision 0.466771 [0,0,0.142857,0,0,0,0.25,0.642857,0.571429,0.636364,0.892857,0,0.444444,0.433333,0.428571,0.153846,0.4,0.40625,0.463415,0.86,0.2,0.375,0.166667,0.166667,0.2,0,0,0.5,0,0,0.630435,0.529412,0.5625,0.5,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0] predictive_accuracy 0.472693 prior_entropy 4.846691 recall 0.472693 [0,0,0.285714,0,0,0,0.2,0.75,0.615385,0.583333,0.961538,0,0.444444,0.419355,0.473684,0.105263,0.533333,0.371429,0.452381,0.781818,0.222222,0.3,0.25,0.25,0.333333,0,0,0.666667,0,0,0.644444,0.45,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0] relative_absolute_error 0.56681 root_mean_prior_squared_error 0.140616 root_mean_squared_error 0.139914 root_relative_squared_error 0.995014 total_cost 0 area_under_roc_curve 0.771671 [0.0,0.0,0.490566,0.0,0.0,0.5,0.5,0.971154,0.490566,0.471698,1,0.461538,0.816993,0.647059,0.461538,0.725962,0.986928,0.74,0.85,0.889796,0.5,0.990566,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.971698,0.989796,0.951923,1,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5] area_under_roc_curve 0.716229 [0.0,0.0,0.490385,0.5,0.990385,0.5,0.490385,0.980392,0.5,1,1,0.676471,0.82,0.61,0.730392,0.735294,0.796667,0.581633,0.744898,0.885417,0.490385,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.461538,0.727041,0.490196,0.745098,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.773973 [0.0,0.0,0.442308,0.0,0.5,0.0,0.961538,0.990196,0.990385,0.461538,0.99,0.470588,0.83,0.986667,0.745098,0.735294,0.826667,0.813333,0.696429,0.904255,0.480769,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.451923,0.714286,0.730392,0.995098,0.990385,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.804468 [0.0,0.0,0.990385,0.0,0.0,0.0,0.5,0.98,1,0.990385,0.833333,0.45098,0.983333,0.646667,1,0.735294,0.796667,0.806667,0.591837,0.984043,0.480769,1,0.5,0.990385,0.0,0.0,0.0,1,0.0,0.490385,0.739796,0.980392,0.490385,1,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.804575 [0.0,0.5,0.490385,0.0,0.0,0.0,0.5,0.656667,0.691176,1,1,0.696078,0.970588,0.986667,0.490196,0.971154,0.62,0.803333,0.739796,0.989362,0.490385,0.490385,1,0.0,0.0,0.0,0.0,1,0.0,0.5,0.979592,1,1,1,0.0,0.0,0.0,0.0,0.0,0.0,0.490385,0.0,0.0,0.0,0.5,0.0,0.0,0.0] area_under_roc_curve 0.735104 [0.0,0.0,0.490385,0.0,0.0,0.0,0.980769,0.833333,1,0.471154,1,0.5,0.480392,0.813333,0.470588,0.470588,0.823333,0.793333,0.834184,0.822695,0.961538,0.490385,0.5,0.0,0.0,0.0,0.0,0.0,0.5,0.490385,0.704082,0.490196,0.95098,0.980769,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.490385,0.0,0.0,0.0] area_under_roc_curve 0.754415 [0.0,0.0,0.971154,0.0,0.0,0.0,0.5,0.99,0.745098,1,1,0.490385,0.470588,0.47,1,0.696078,0.786667,0.49,0.696429,0.902482,0.0,0.490385,0.490385,0.0,0.0,0.0,0.0,0.0,1,0.0,0.777083,0.75,0.72549,0.971154,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,0.0] area_under_roc_curve 0.759375 [0.5,0.0,0.0,0.0,0.0,0.0,1,0.740196,0.5,0.490385,0.990196,0.971154,0.63,0.716837,0.75,0.715686,0.61,0.530612,0.858333,0.897917,1,0.5,0.0,0.0,0.990385,0.0,0.0,0.0,0.5,0.0,1,0.965686,0.740196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0] area_under_roc_curve 0.763189 [0.971154,0.0,0.0,0.0,0.0,0.0,0.980769,0.75,1,0.75,0.990196,0.461538,0.66,0.656667,0.990385,0.490196,0.823333,0.854592,0.883333,0.895833,0.490385,0.990385,0.0,0.0,0.490385,0.0,0.0,0.0,0.0,0.480769,0.6875,0.740196,0.990196,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0] area_under_roc_curve 0.716896 [0.5,0.0,0.0,0.0,0.0,0.5,0.490385,0.740196,1,0.990196,1,0.461538,0.656667,0.806667,0.735294,0.470588,0.643333,0.714286,0.693878,0.8875,0.980769,0.980769,0.0,0.0,0.5,0.0,0.5,0.0,0.0,0.432692,0.78125,0.5,0.740196,0.0,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0] 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 average_cost 0 f_measure 0.43895 [0,0,0,0,0,0,0,0.666667,0,0,1,0,0.666667,0.333333,0,0,0.857143,0.571429,0.5,0.8,0,0.666667,0,0,0,0,0,0,0,0,0.769231,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.373046 [0,0,0,0,0,0,0,0.666667,0,1,1,0,0.4,0.222222,0.333333,0.5,0.333333,0,0.571429,0.8,0,0,0,0,0,0,0,0,0,0,0.571429,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.462477 [0,0,0,0,0,0,0,0.8,0.5,0,0.857143,0,0.666667,0.666667,0.5,0,0.571429,0.666667,0.285714,0.727273,0,0,0,0,0,0,0,0,0,0,0.571429,0.666667,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.564158 [0,0,0.666667,0,0,0,0,0.857143,1,0.666667,0.8,0,0.857143,0.5,1,0,0.4,0.5,0.333333,0.923077,0,0.666667,0,0.666667,0,0,0,1,0,0,0.571429,0.666667,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.571975 [0,0,0,0,0,0,0,0.4,0.333333,1,1,0,0.571429,0.8,0,0.5,0.333333,0.666667,0.666667,0.923077,0,0,1,0,0,0,0,1,0,0,0.8,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.363465 [0,0,0,0,0,0,0.5,0.8,1,0,1,0,0,0.5,0,0,0.666667,0,0.5,0.727273,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.437597 [0,0,0.5,0,0,0,0,0.857143,0.666667,1,1,0,0,0,1,0,0.444444,0,0.363636,0.666667,0,0,0,0,0,0,0,0,0,0,0.6,0.666667,0.333333,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] f_measure 0.386467 [0,0,0,0,0,0,1,0.5,0,0,0.8,0,0,0.5,0.666667,0,0.166667,0,0.25,0.888889,1,0,0,0,0.666667,0,0,0,0,0,0.909091,0.571429,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.506556 [0,0,0,0,0,0,0,0.666667,1,0.666667,0.8,0,0.4,0.4,0.666667,0,0.666667,0.666667,0.727273,0.888889,0,0.666667,0,0,0,0,0,0,0,0,0.5,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.407308 [0,0,0,0,0,0,0,0.5,1,0.8,1,0,0.4,0.4,0.5,0,0.333333,0.444444,0.285714,0.8,0.666667,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.452571 kappa 0.346413 kappa 0.445648 kappa 0.581893 kappa 0.58205 kappa 0.362646 kappa 0.422398 kappa 0.379063 kappa 0.484281 kappa 0.384875 kb_relative_information_score 22.931731 kb_relative_information_score 19.550527 kb_relative_information_score 22.917289 kb_relative_information_score 29.998372 kb_relative_information_score 28.06937 kb_relative_information_score 20.207508 kb_relative_information_score 23.418089 kb_relative_information_score 21.828285 kb_relative_information_score 25.011788 kb_relative_information_score 19.884357 mean_absolute_error 0.02201 mean_absolute_error 0.025494 mean_absolute_error 0.022478 mean_absolute_error 0.017693 mean_absolute_error 0.018582 mean_absolute_error 0.025131 mean_absolute_error 0.023255 mean_absolute_error 0.024613 mean_absolute_error 0.020534 mean_absolute_error 0.02491 mean_prior_absolute_error 0.039681 mean_prior_absolute_error 0.039673 mean_prior_absolute_error 0.039638 mean_prior_absolute_error 0.039627 mean_prior_absolute_error 0.039672 mean_prior_absolute_error 0.039645 mean_prior_absolute_error 0.039604 mean_prior_absolute_error 0.039587 mean_prior_absolute_error 0.039629 mean_prior_absolute_error 0.039657 number_of_instances 54 [0,0,1,0,0,1,1,2,1,1,2,2,3,3,2,2,3,4,4,5,1,1,0,1,0,0,0,0,0,1,5,2,2,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1] number_of_instances 53 [0,0,1,1,1,1,1,2,1,1,3,2,3,3,2,2,3,4,4,5,1,1,0,1,0,1,0,0,0,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] number_of_instances 53 [0,0,1,0,1,0,1,2,1,1,3,2,3,3,2,2,3,3,4,6,1,1,0,1,0,0,0,1,0,1,4,2,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,1,1,3,2,3,3,2,2,3,3,4,6,1,1,1,1,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] number_of_instances 53 [0,1,1,0,0,0,1,3,2,1,3,2,2,3,2,1,3,3,4,6,1,1,1,0,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,1,1,1,0,0,0,0,0,1,1,4,2,2,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,0,1,1,0,0,0,0,0,1,0,5,2,2,1,0,1,0,0,0,0,0,1,0,0,1,0,0,0] number_of_instances 53 [1,0,0,0,0,0,1,2,1,1,2,1,3,4,2,2,3,4,5,5,1,1,0,0,1,0,0,0,1,0,5,2,2,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0] number_of_instances 53 [1,0,0,0,0,0,1,2,1,2,2,1,3,3,1,2,3,4,5,5,1,1,0,0,1,0,0,0,0,1,5,2,2,0,0,0,1,0,0,1,0,0,0,1,0,1,0,0] number_of_instances 53 [1,0,0,0,0,1,1,2,1,2,2,1,3,3,2,2,3,4,4,5,1,1,0,0,1,0,1,0,0,1,5,2,2,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0] precision 0.417438 [0,0,0,0,0,0,0,0.5,0,0,1,0,0.666667,0.333333,0,0,0.75,0.666667,0.5,0.8,0,0.5,0,0,0,0,0,0,0,0,0.625,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.393082 [0,0,0,0,0,0,0,0.5,0,1,1,0,0.5,0.166667,0.25,0.5,0.333333,0,0.666667,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.48522 [0,0,0,0,0,0,0,0.666667,0.333333,0,0.75,0,0.666667,0.666667,0.5,0,0.5,0.666667,0.333333,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,1,1,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.585085 [0,0,0.5,0,0,0,0,0.75,1,0.5,1,0,0.75,1,1,0,0.5,0.4,0.5,0.857143,0,0.5,0,0.5,0,0,0,1,0,0,0.666667,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.583827 [0,0,0,0,0,0,0,0.5,0.25,1,1,0,0.4,1,0,0.333333,0.333333,0.666667,1,0.857143,0,0,1,0,0,0,0,1,0,0,0.666667,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.361635 [0,0,0,0,0,0,0.333333,1,1,0,1,0,0,0.4,0,0,0.666667,0,0.375,0.8,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.475966 [0,0,0.333333,0,0,0,0,0.75,1,1,1,0,0,0,1,0,0.333333,0,0.285714,1,0,0,0,0,0,0,0,0,0,0,0.6,1,0.25,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] precision 0.392453 [0,0,0,0,0,0,1,0.5,0,0,0.666667,0,0,0.5,1,0,0.111111,0,0.333333,1,1,0,0,0,0.5,0,0,0,0,0,0.833333,0.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.542138 [0,0,0,0,0,0,0,1,1,1,0.666667,0,0.5,0.5,0.5,0,0.666667,0.6,0.666667,1,0,0.5,0,0,0,0,0,0,0,0,0.666667,0.5,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.410692 [0,0,0,0,0,0,0,0.5,1,0.666667,1,0,0.5,0.5,0.5,0,0.333333,0.4,0.333333,0.8,0.5,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.481481 predictive_accuracy 0.377358 predictive_accuracy 0.471698 predictive_accuracy 0.603774 predictive_accuracy 0.603774 predictive_accuracy 0.396226 predictive_accuracy 0.45283 predictive_accuracy 0.415094 predictive_accuracy 0.509434 predictive_accuracy 0.415094 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 recall 0.481481 [0,0,0,0,0,0,0,1,0,0,1,0,0.666667,0.333333,0,0,1,0.5,0.5,0.8,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.377358 [0,0,0,0,0,0,0,1,0,1,1,0,0.333333,0.333333,0.5,0.5,0.333333,0,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.471698 [0,0,0,0,0,0,0,1,1,0,1,0,0.666667,0.666667,0.5,0,0.666667,0.666667,0.25,0.666667,0,0,0,0,0,0,0,0,0,0,0.5,0.5,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.603774 [0,0,1,0,0,0,0,1,1,1,0.666667,0,1,0.333333,1,0,0.333333,0.666667,0.25,1,0,1,0,1,0,0,0,1,0,0,0.5,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.603774 [0,0,0,0,0,0,0,0.333333,0.5,1,1,0,1,0.666667,0,1,0.333333,0.666667,0.5,1,0,0,1,0,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.396226 [0,0,0,0,0,0,1,0.666667,1,0,1,0,0,0.666667,0,0,0.666667,0,0.75,0.666667,0,0,0,0,0,0,0,0,0,0,0.25,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.45283 [0,0,1,0,0,0,0,1,0.5,1,1,0,0,0,1,0,0.666667,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0.6,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] recall 0.415094 [0,0,0,0,0,0,1,0.5,0,0,1,0,0,0.5,0.5,0,0.333333,0,0.2,0.8,1,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.509434 [0,0,0,0,0,0,0,0.5,1,0.5,1,0,0.333333,0.333333,1,0,0.666667,0.75,0.8,0.8,0,1,0,0,0,0,0,0,0,0,0.4,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415094 [0,0,0,0,0,0,0,0.5,1,1,1,0,0.333333,0.333333,0.5,0,0.333333,0.5,0.25,0.8,1,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.554664 relative_absolute_error 0.642598 relative_absolute_error 0.567092 relative_absolute_error 0.446495 relative_absolute_error 0.468396 relative_absolute_error 0.633894 relative_absolute_error 0.587183 relative_absolute_error 0.62175 relative_absolute_error 0.518159 relative_absolute_error 0.628128 root_mean_prior_squared_error 0.140756 root_mean_prior_squared_error 0.140729 root_mean_prior_squared_error 0.140604 root_mean_prior_squared_error 0.140565 root_mean_prior_squared_error 0.140725 root_mean_prior_squared_error 0.140628 root_mean_prior_squared_error 0.140483 root_mean_prior_squared_error 0.14042 root_mean_prior_squared_error 0.14057 root_mean_prior_squared_error 0.140671 root_mean_squared_error 0.139061 root_mean_squared_error 0.150455 root_mean_squared_error 0.137294 root_mean_squared_error 0.124182 root_mean_squared_error 0.121936 root_mean_squared_error 0.150587 root_mean_squared_error 0.144965 root_mean_squared_error 0.144115 root_mean_squared_error 0.134164 root_mean_squared_error 0.148966 root_relative_squared_error 0.987955 root_relative_squared_error 1.069107 root_relative_squared_error 0.976459 root_relative_squared_error 0.883449 root_relative_squared_error 0.866488 root_relative_squared_error 1.070814 root_relative_squared_error 1.031904 root_relative_squared_error 1.026313 root_relative_squared_error 0.954425 root_relative_squared_error 1.058967 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