250917 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 835877 description https://api.openml.org/data/download/835877/weka_generated_run5291191697444422114.xml -1 835880 model_readable https://api.openml.org/data/download/835880/WekaModel_weka.classifiers.meta.FilteredClassifier7189011027434277545.model -1 835879 model_serialized https://api.openml.org/data/download/835879/WekaSerialized_weka.classifiers.meta.FilteredClassifier5071379491817964574.model -1 835878 predictions https://api.openml.org/data/download/835878/weka_generated_predictions5110794289916100644.arff area_under_roc_curve 0.936419 [0.94312,0.852798,0.982285,0.984769,0.983543,0.904019,0.955973,0.967128,0.891862,0.997588,0.918599,0.895233,0.928702,0.743371,0.847457,0.867003,0.998898,0.781337,0.976862,0.926742,0.977922,0.972001,0.903899,0.835633,0.892339] average_cost 0 f_measure 0.819379 [0.899666,0.606357,0.923241,0.940476,0.945982,0.772222,0.88899,0.861048,0.449664,0.97479,0.832685,0.853859,0.601198,0.067797,0.62963,0.513369,0.896552,0.473552,0.938907,0.751841,0.95007,0.923913,0.741365,0,0.882682] kappa 0.804176 kb_relative_information_score 13072.480872 mean_absolute_error 0.018365 mean_prior_absolute_error 0.070994 number_of_instances 16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.814317 [0.934028,0.593301,0.945415,0.923977,0.922879,0.731579,0.886179,0.790795,0.62037,0.95082,0.8025,0.869565,0.604819,0.093023,0.708333,0.551724,0.8125,0.43318,0.966887,0.758544,0.939982,0.904255,0.749574,0,1] predictive_accuracy 0.827218 prior_entropy 3.812516 recall 0.827218 [0.867742,0.62,0.902083,0.957576,0.97027,0.817647,0.891818,0.945,0.352632,1,0.865229,0.83871,0.597619,0.053333,0.566667,0.48,1,0.522222,0.9125,0.745255,0.960377,0.944444,0.733333,0,0.79] relative_absolute_error 0.258681 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.109121 root_relative_squared_error 0.579529 scimark_benchmark 1294.782628 [833.7670332881751, 1000.2361411703304, 548.6672532353103, 1063.8961096609355, 3027.3466034945545] total_cost 0 usercpu_time_millis 14680 usercpu_time_millis_testing 450 usercpu_time_millis_training 14230 area_under_roc_curve 0.938358 [0.828704,0.995427,0.99441,0.996474,1,0.998476,0.964115,0.993902,0.493902,1,0.89912,0.537832,0.956019,0.990909,0.708841,0.988199,0.996951,0.990854,1,0.915033,1,1,1,0.905488,1] area_under_roc_curve 0.93351 [0.964213,1,1,0.996795,1,0.5,0.961381,0.743902,1,0.996815,0.919922,0.794479,0.927329,0.928354,1,0.926708,1,0.693598,1,0.968577,0.943988,0.75,0.889062,0.632622,0.487879] area_under_roc_curve 0.944799 [1,0.996951,1,1,0.996914,1,0.962406,1,0.993902,1,0.962812,1,0.839506,0.918182,0.414634,0.580124,1,0.378049,1,0.928806,1,1,0.991667,0.884146,1] area_under_roc_curve 0.943536 [1,0.996951,0.987578,0.99359,1,0.733232,0.978127,0.996951,0.734756,1,0.919966,1,0.868827,0.975758,0.989775,0.963354,1,0.693598,0.992843,0.945724,1,0.746951,0.803646,0.676829,1] area_under_roc_curve 0.946446 [1,0.996951,1,1,1,1,0.959672,0.743902,0.939024,0.996815,0.932257,0.660532,0.930435,0.993939,0.747444,0.989441,1,1,1,0.855204,1,1,0.99375,0.893293,1] area_under_roc_curve 0.918058 [0.75,0.682927,0.991304,0.996795,1,0.99697,0.928002,1,0.739329,0.996835,0.893987,0.786299,0.967593,0.875,0.993865,0.826087,1,0.993902,1,0.912359,0.989443,1,0.806771,0.378788,1] area_under_roc_curve 0.946035 [0.801636,0.996951,1,1,1,1,0.955457,1,0.995427,1,0.943013,0.996933,0.815586,0.518293,0.601227,0.993789,0.99697,0.384848,0.99537,0.942434,1,0.996951,0.965625,0.911585,1] area_under_roc_curve 0.947459 [1,0.996951,1,1,0.996933,0.748476,0.939964,0.746951,0.989329,0.996835,0.920025,0.792434,0.996273,0.963415,0.93047,0.958385,1,1,1,0.936652,0.996774,1,1,0.679878,1] area_under_roc_curve 0.931393 [0.800613,0.478659,1,1,1,0.996951,0.976646,0.996951,0.990854,1,0.920847,0.765849,0.993827,0.692073,1,0.717391,1,0.420732,1,0.904977,0.990909,1,1,0.655488,1] area_under_roc_curve 0.957185 [0.873457,0.996951,1,1,1,1,0.93347,0.996951,0.951515,1,0.964069,1,0.992284,0.987879,1,0.982609,1,0.975758,1,0.919878,0.948387,1,0.826042,0.935976,1] area_under_roc_curve 0.959403 [1,0.981707,1,1,1,1,0.957621,1,0.99697,1,0.928556,0.996933,0.820216,1,0.66311,0.981988,1,0.932927,1,0.979889,1,1,0.903125,0.945122,0.921212] area_under_roc_curve 0.918527 [0.829243,0.737805,1,0.996795,0.875,1,0.93871,1,0.963636,0.993631,0.895035,0.858796,0.992547,0.47561,0.905488,0.87205,0.996951,0.699695,0.99182,0.829814,1,0.996951,0.906771,0.966463,1] area_under_roc_curve 0.918901 [0.831288,0.996951,0.893789,1,0.996914,0.746951,0.960355,0.996951,0.49697,0.996815,0.860151,0.815951,0.859568,0.475758,0.878049,0.881988,1,1,0.993865,0.920348,0.991496,0.996951,0.908333,0.945122,0.484848] area_under_roc_curve 0.908269 [1,0.987805,1,1,1,1,0.924015,0.75,0.47561,1,0.896815,0.819018,0.490741,0.469697,0.650307,0.982609,0.99697,0.478659,0.833333,0.942669,1,1,0.9,0.932927,1] area_under_roc_curve 0.929117 [1,0.740854,1,0.996795,1,1,0.914787,0.996951,1,0.996835,0.872198,1,0.892547,0.978659,0.94274,0.873292,1,0.699695,1,0.930921,1,1,0.981771,0.930303,0.487879] area_under_roc_curve 0.944294 [1,1,0.98323,0.99359,0.875,0.734756,0.973229,0.996951,0.990909,0.996815,0.940394,0.817996,0.884472,0.984848,0.649284,0.780124,1,0.984756,1,0.978383,1,1,0.884896,0.689024,1] area_under_roc_curve 0.901406 [1,1,1,0.996795,1,0.746951,0.920141,1,0.734756,1,0.82401,0.793456,0.861883,0.442424,0.815951,0.960248,1,0.955793,0.996933,0.900704,0.90088,0.75,0.898958,0.957317,1] area_under_roc_curve 0.909429 [1,0.381098,0.874228,1,1,0.745427,0.902028,0.996951,0.481707,1,0.900691,0.770961,0.990683,0.929878,0.98773,0.985093,1,0.993939,1,0.895425,0.996481,1,0.708854,0.650915,1] area_under_roc_curve 0.917199 [1,1,1,0.9,1,0.99697,0.953178,1,0.685976,0.996815,0.878693,0.787321,1,0.631098,0.405488,0.811801,1,0.644817,1,0.99824,0.990323,1,0.840625,0.625,1] area_under_roc_curve 0.939103 [1,0.743902,1,1,0.993827,0.996951,0.957849,0.996951,0.481707,1,0.961974,0.996933,0.859568,0.484848,1,0.884472,1,0.99697,1,0.90813,0.94956,1,0.741667,0.929878,0.472727] area_under_roc_curve 0.924388 [1,0.484756,0.996894,0.95,0.996914,1,0.976988,1,0.987805,1,0.947308,0.815951,0.857253,0.73628,0.414634,0.761491,1,0.689024,0.833333,0.977627,0.906158,0.75,0.878125,0.957576,0.472727] area_under_roc_curve 0.94151 [1,0.739329,0.99441,0.996474,1,1,0.91866,0.996951,0.745427,1,0.972763,1,0.983025,0.993939,1,0.76646,1,0.705793,1,0.933271,0.951026,1,0.736458,0.966667,1] area_under_roc_curve 0.932116 [1,0.746951,0.995652,0.885704,1,0.996951,0.971292,1,1,1,0.913681,1,0.955247,0.405488,0.779141,0.917391,0.993939,0.66311,1,0.987782,0.946041,1,0.75,0.911585,1] area_under_roc_curve 0.909788 [1,0.987805,1,1,1,0.493939,0.911141,0.996951,1,0.996815,0.829876,0.774029,0.925926,0.987879,0.812883,0.732919,1,0.672256,1,0.958647,0.9739,1,0.909896,0.881098,1] area_under_roc_curve 0.923268 [0.796524,0.742378,1,0.99359,1,1,0.922078,1,0.670732,1,0.908234,1,0.908179,0.919207,0.98773,0.706832,0.99697,0.995427,0.996933,0.922932,1,0.75,0.80625,0.935976,1] area_under_roc_curve 0.946266 [0.821063,0.995427,0.893789,1,1,0.993902,0.960128,1,0.934451,0.996815,0.951498,1,0.993789,0.460606,0.925358,0.871429,1,0.689024,0.830266,0.940085,1,1,0.827083,0.942073,1] area_under_roc_curve 0.932799 [1,0.487805,0.996894,0.95,1,1,0.894053,0.996951,0.980183,1,0.940603,0.839506,0.974537,1,1,0.719876,0.99697,0.996951,1,0.968829,0.986804,1,0.908854,0.6875,1] area_under_roc_curve 0.917375 [1,0.484756,1,0.99359,1,1,0.862155,1,0.992378,1,0.94186,0.990798,0.837191,0.844512,0.662577,0.737267,1,1,0.996933,0.875817,0.991789,1,0.8875,0.89939,1] area_under_roc_curve 0.941963 [1,0.993902,0.976398,0.990385,1,1,0.941331,0.990854,0.733232,0.996815,0.947832,0.864198,0.882609,0.457317,1,0.988199,1,0.996951,1,0.936325,0.901173,1,0.995833,0.661585,1] area_under_roc_curve 0.945477 [1,0.748476,0.98882,0.992949,1,0.996951,0.988836,1,0.996951,0.996815,0.920071,0.808793,0.886957,0.466667,0.970348,0.995031,0.99697,0.693598,1,0.94032,0.996795,0.75,0.904167,0.644817,1] area_under_roc_curve 0.951528 [1,1,0.793789,0.993631,1,0.731707,0.970494,0.996951,0.977134,1,0.97004,0.799591,0.998457,0.670732,0.997955,0.974534,1,0.417683,1,0.898496,0.996795,1,0.986458,0.905488,1] area_under_roc_curve 0.938019 [1,0.692073,1,1,1,0.745427,0.973342,1,0.995427,1,0.918081,0.793456,0.968364,0.4,0.771984,0.860248,0.996951,0.657012,0.996914,0.930216,0.996774,0.99697,0.9,0.902439,1] area_under_roc_curve 0.948413 [1,1,0.993789,0.996795,1,1,0.980178,0.996951,0.981707,1,0.919338,0.822086,1,0.737805,0.813906,0.781988,1,0.996951,1,0.871476,1,1,0.984375,0.893293,1] area_under_roc_curve 0.953337 [1,0.998476,0.996894,0.946474,1,0.99697,0.940761,1,0.983232,1,0.947622,1,0.96142,0.863636,0.969325,0.831677,1,0.657012,1,0.926222,0.988563,1,0.988021,0.939024,1] area_under_roc_curve 0.924886 [1,0.993902,0.861111,0.996474,0.996914,0.745427,0.965026,1,0.692073,1,0.890111,0.800613,0.954475,0.405488,1,0.868323,0.993939,0.881098,0.99182,0.949013,0.98827,0.996951,0.823958,0.646341,1] area_under_roc_curve 0.904416 [0.802658,0.742378,0.996894,0.944231,0.993865,0.739329,0.935635,0.996951,0.702744,1,0.890844,0.762781,0.965278,0.4,0.320122,0.980124,0.996951,0.990854,0.742284,0.922227,0.996474,0.743902,0.904687,0.908537,0.472727] area_under_roc_curve 0.908998 [1,0.684451,0.887578,0.94359,1,1,0.917635,1,1,1,0.884978,1,0.967702,0.857576,0.531697,0.736025,1,0.521341,1,0.843389,1,1,0.981771,0.878049,1] area_under_roc_curve 0.931131 [0.794479,0.682927,0.993789,0.9,0.996914,0.996951,0.942812,0.996951,0.679878,1,0.935261,1,0.905093,0.669207,0.767894,0.847826,0.996951,0.646341,1,0.94032,0.999679,1,0.994271,0.881818,1] area_under_roc_curve 0.917084 [1,0.996951,1,1,1,0.99697,0.964343,1,0.737805,0.996815,0.878378,0.805726,0.985714,0.721037,0.656442,0.715528,0.99697,0.99697,1,0.877585,0.952493,0.5,0.821875,0.97561,1] area_under_roc_curve 0.938353 [0.804703,0.993902,1,0.992923,0.996933,0.996951,0.951697,1,0.971037,1,0.891578,0.588957,0.963975,0.990854,0.958841,0.869565,1,0.945122,1,0.90531,0.999038,1,0.991667,0.884146,1] area_under_roc_curve 0.906544 [1,0.689024,0.989969,0.987179,0.996914,0.746951,0.964684,1,0.61128,0.993631,0.858789,1,0.939815,0.884146,0.997955,0.834161,1,0.653963,1,0.859023,0.996474,1,0.6125,0.934451,0.484848] area_under_roc_curve 0.928563 [0.976483,0.719512,0.993789,0.996795,0.993827,0.984756,0.952039,1,0.719512,1,0.887911,0.808793,0.996914,1,0.996933,0.932298,1,0.993902,0.996933,0.863722,0.894135,1,0.994792,0.882622,0.475758] area_under_roc_curve 0.92424 [0.972393,0.411585,0.996894,0.95,0.875,0.996951,0.965482,1,0.679878,0.996835,0.884664,0.996933,0.938272,0.5625,1,0.988199,1,0.672256,1,0.96179,0.930792,0.75,0.994792,0.412121,1] area_under_roc_curve 0.955872 [1,0.996951,0.993789,0.996795,0.996933,1,0.975621,1,0.972561,0.996815,0.926147,0.783231,0.859568,0.993902,0.767894,0.878882,1,0.993902,1,0.977444,0.948387,1,0.976042,0.939394,1] area_under_roc_curve 0.930919 [1,0.742378,1,0.944091,1,0.496951,0.977558,0.996951,0.960366,0.996815,0.898806,1,0.81713,0.698171,0.993865,0.849068,1,0.890909,0.875,0.898966,0.996795,1,0.914062,0.917683,1] area_under_roc_curve 0.946605 [1,0.993902,0.990062,0.937721,1,1,0.956482,1,0.97561,0.996815,0.971525,0.993865,0.996914,0.487879,0.996951,0.971429,1,0.698171,1,0.854088,0.946154,1,0.807813,0.692073,1] area_under_roc_curve 0.948617 [0.966258,1,1,0.99359,1,1,0.961039,1,0.990909,1,0.939967,0.791411,0.968944,0.869697,0.933538,0.651553,1,0.993902,0.833333,0.943609,1,1,0.915104,0.875758,1] area_under_roc_curve 0.944476 [0.97137,0.746951,0.99441,0.996474,0.996914,1,0.978583,0.993902,0.993902,1,0.943746,0.794479,0.976852,0.99697,0.802658,0.738509,1,0.609756,1,0.96828,1,1,0.886458,0.653963,0.472727] area_under_roc_curve 0.930467 [1,1,0.891925,0.95,1,0.734756,0.948166,1,0.960366,1,0.903415,0.795501,0.983796,0.99697,0.95501,0.768323,1,0.993939,0.657464,0.931156,0.952493,0.993902,0.993229,0.939394,1] area_under_roc_curve 0.93955 [1,0.705793,1,1,1,0.417683,0.97152,1,1,1,0.951393,1,0.99537,0.660061,0.676829,0.821118,1,0.73628,0.996914,0.923402,0.895513,1,0.99375,0.695122,1] area_under_roc_curve 0.939811 [1,0.710366,1,1,1,1,0.953178,0.996951,1,1,0.917452,1,0.956019,0.698171,1,0.768944,1,0.713415,1,0.972274,0.942628,1,0.886458,0.672256,1] area_under_roc_curve 0.945882 [1,1,0.996894,0.95,1,1,0.942925,1,0.996951,0.996835,0.938613,1,0.814815,0.718182,0.822086,0.869565,1,0.66311,1,0.963816,0.996774,1,0.890625,0.89939,1] area_under_roc_curve 0.958113 [0.823108,1,1,1,1,0.996951,0.995101,0.996951,0.996951,1,0.947727,1,0.986883,0.928354,0.789366,0.753416,1,0.99697,1,0.923077,0.951026,1,0.903646,0.935976,1] area_under_roc_curve 0.949112 [0.854167,0.996951,1,1,0.833333,1,0.973456,1,0.996951,0.993631,0.907291,1,0.966049,0.990854,0.996951,0.965217,1,0.414634,1,0.944549,1,1,1,0.89939,0.493939] area_under_roc_curve 0.959737 [1,0.996951,0.985093,0.996795,1,1,0.99157,1,0.742378,1,0.971821,1,0.983025,0.429878,1,0.791304,1,1,1,0.944549,0.947756,1,0.821875,0.942073,1] area_under_roc_curve 0.92869 [1,0.699695,1,0.99359,0.996914,1,0.93085,0.75,1,1,0.909596,1,0.930556,0.39697,0.993902,0.732919,1,0.669207,1,0.938411,1,1,0.803646,0.917683,1] area_under_roc_curve 0.921749 [1,1,0.99441,0.996815,1,0.460606,0.945774,1,0.737805,0.993631,0.861303,0.560327,0.817901,0.409091,0.779141,0.961491,1,0.878049,1,0.93938,1,1,0.980729,0.905488,1] area_under_roc_curve 0.937583 [1,0.993902,0.985714,0.989423,0.875,1,0.940419,1,0.96189,0.996815,0.889168,1,0.983025,0.821212,0.996933,0.808696,1,0.684451,1,0.965695,0.947756,0.75,0.990625,0.95122,1] area_under_roc_curve 0.94222 [1,1,1,0.996795,1,1,0.971861,0.75,1,1,0.934109,1,0.819444,0.915152,0.962168,0.868323,1,0.347561,1,0.903195,1,1,0.795312,0.887195,1] area_under_roc_curve 0.926854 [1,0.743902,1,0.99359,1,1,0.93347,1,0.952744,1,0.921258,1,0.946759,0.853659,0.699695,0.863354,1,0.332317,0.997955,0.903218,1,0.996951,0.8875,0.393293,1] area_under_roc_curve 0.924996 [1,0.996951,0.893168,0.990385,0.875,0.746951,0.947824,0.996951,0.978659,0.996815,0.908653,1,0.998457,0.718182,0.586912,0.940373,0.99697,0.652439,1,0.90437,0.999679,1,0.741667,0.893293,1] area_under_roc_curve 0.932094 [0.851852,0.996951,0.887578,0.990385,0.996933,0.993902,0.964001,1,0.989329,1,0.897863,1,0.842593,0.40303,0.534765,0.871429,1,0.666159,1,0.936795,1,1,0.986458,0.946646,1] area_under_roc_curve 0.943179 [1,0.695122,1,0.949038,1,0.734756,0.946913,0.996951,0.992378,0.993631,0.9375,0.846451,0.925926,0.92378,0.992843,0.859627,0.99697,0.993939,1,0.886878,1,1,0.979688,0.905488,1] area_under_roc_curve 0.922239 [0.833333,0.743902,0.887578,0.996795,0.996933,1,0.96195,0.996951,0.73628,1,0.92929,0.731481,0.99537,0.891768,0.286585,0.980745,1,0.996951,1,0.889333,0.943402,1,0.900521,0.623476,0.472727] area_under_roc_curve 0.943852 [0.99182,0.745427,1,0.9,0.996914,0.996951,0.966621,0.996951,0.97561,1,0.942279,0.800613,1,0.478788,1,0.978882,1,0.457317,1,0.972274,0.996795,1,0.902083,0.684451,0.472727] area_under_roc_curve 0.946968 [1,1,1,1,1,1,0.937116,1,0.97561,1,0.956107,0.763804,0.944444,0.948171,0.805726,0.746584,0.99697,0.984756,1,0.911765,0.992962,1,0.886458,0.884146,1] area_under_roc_curve 0.952264 [1,0.743902,1,1,0.875,0.5,0.968444,1,0.940549,0.993631,0.973287,1,0.992284,0.746951,1,0.948447,1,0.72561,1,0.914239,0.999359,1,0.916146,0.678354,0.490909] area_under_roc_curve 0.908482 [0.799591,0.692073,1,1,1,1,0.923559,1,0.917683,0.996815,0.90991,0.82716,0.943673,0.378788,0.432515,0.850932,1,0.658537,0.833333,0.932801,0.996795,1,0.827604,0.881098,0.487879] area_under_roc_curve 0.931974 [0.664622,0.748476,1,1,0.993827,1,0.948052,0.996951,1,1,0.882778,1,0.787037,0.715152,0.99591,0.981366,0.996951,1,1,0.921288,1,1,0.894792,0.902439,0.475758] area_under_roc_curve 0.929226 [1,0.993902,0.991512,0.99359,1,0.746951,0.946229,1,0.998476,1,0.88393,0.993865,0.82716,0.408537,1,0.842857,1,0.990854,1,0.888135,0.996774,1,0.883854,0.911585,1] area_under_roc_curve 0.968554 [1,0.996933,1,1,1,1,0.98657,1,0.992331,1,0.947472,0.996914,0.885,0.472561,0.733539,0.9425,1,1,1,0.979423,0.992621,1,0.996855,0.929448,1] area_under_roc_curve 0.939945 [1,0.73773,1,1,1,1,0.967287,1,0.719325,1,0.923036,1,0.841615,0.716258,0.996914,0.876875,1,0.478659,0.833333,0.904447,0.947742,1,0.99109,0.932515,1] area_under_roc_curve 0.94374 [1,0.73773,1,1,0.996914,1,0.981864,1,0.734663,1,0.915857,1,0.9725,0.454268,0.996914,0.9475,1,0.71319,0.997942,0.950568,0.938387,0.996933,0.824948,0.960123,0.472561] area_under_roc_curve 0.935283 [0.80144,0.736196,1,0.996452,0.996894,1,0.893251,0.996933,0.992331,1,0.931588,1,0.958125,0.40184,0.904908,0.8675,1,0.996951,0.996914,0.947115,0.986129,1,0.975891,0.904908,1] area_under_roc_curve 0.937614 [1,0.996933,0.996875,0.95,1,1,0.974747,1,1,0.996795,0.872677,1,0.97205,0.890244,0.71319,0.985,1,0.671779,1,0.90894,0.93871,1,0.984277,0.654908,1] area_under_roc_curve 0.909091 [0.966049,0.748466,1,1,1,1,0.989096,1,0.998466,1,0.833298,1,0.654503,0.694785,0.769547,0.811875,0.996951,0.697853,1,0.90587,0.940378,1,0.740566,0.90184,1] area_under_roc_curve 0.956297 [1,0.717791,0.993125,0.993548,1,1,0.988522,0.743865,0.976994,1,0.933699,1,0.985248,0.970859,1,0.78375,1,0.696319,1,0.955535,1,1,0.90304,0.92638,1] area_under_roc_curve 0.954861 [1,0.996933,1,1,1,1,0.967631,0.996933,1,1,0.92272,0.996914,0.993012,1,0.708589,0.9875,0.993902,0.703988,1,0.857616,1,1,0.993711,0.90184,1] area_under_roc_curve 0.929384 [1,0.694785,1,1,1,1,0.898531,1,0.691718,1,0.917124,0.990741,0.929348,0.993902,0.550412,0.845625,1,0.690184,1,0.979896,0.995806,1,0.91195,0.949387,1] area_under_roc_curve 0.945397 [1,0.743865,1,1,1,1,0.972107,0.996933,0.984663,0.996815,0.919236,1,0.986801,0.97546,0.481481,0.750625,1,0.980061,0.833333,0.931174,1,1,0.975891,0.957317,1] area_under_roc_curve 0.948049 [0.833333,0.746933,1,1,1,0.996951,0.972107,1,1,1,0.916068,1,0.96625,0.368902,1,0.87125,0.996951,1,0.996894,0.953169,0.99026,1,0.901992,0.636503,1] area_under_roc_curve 0.956298 [1,1,1,1,1,0.736196,0.989555,0.996933,0.966258,1,0.971284,0.993827,0.859472,0.73773,0.613169,0.88125,0.996951,0.97561,1,0.880322,0.946774,1,0.997379,0.953988,1] area_under_roc_curve 0.918794 [0.796296,0.993865,0.99375,0.992903,1,0.996951,0.892447,0.75,0.927914,0.996795,0.875106,1,0.98875,0.692073,0.963992,0.975625,1,0.932515,0.830247,0.870151,1,1,0.993711,0.633436,1] area_under_roc_curve 0.948157 [0.965021,0.745399,1,0.993548,1,1,0.97096,0.996933,0.847561,1,0.915118,1,0.85,0.934049,1,0.690625,0.993865,1,1,0.928391,1,1,0.996855,0.886503,1] area_under_roc_curve 0.946629 [0.832305,0.726994,0.990625,0.995161,0.833333,1,0.974288,1,0.868098,0.996795,0.980785,0.832298,0.989907,0.79878,0.795267,0.98625,1,0.684049,0.993827,0.91498,1,0.996933,0.780398,0.682515,1] area_under_roc_curve 0.935604 [1,0.996933,1,1,1,0.493902,0.982094,0.993865,0.990798,0.996815,0.917652,0.848602,0.982919,0.878834,1,0.855,1,1,1,0.794702,0.948052,1,0.971698,0.674847,0.487805] area_under_roc_curve 0.963926 [1,0.996933,1,1,1,1,0.965335,0.996933,0.924847,1,0.92557,1,0.850155,0.952454,0.957055,0.971875,1,1,1,0.950331,0.996774,1,0.994235,0.895706,1] area_under_roc_curve 0.938537 [1,1,1,0.996774,1,0.993865,0.989784,0.996933,0.992331,1,0.881123,1,0.802019,0.387195,1,0.87,1,0.995399,0.993827,0.893567,0.904368,0.996933,0.912474,0.907975,1] area_under_roc_curve 0.953867 [0.989712,0.453988,0.994375,0.996795,1,0.730061,0.96281,1,1,1,0.963577,0.996914,0.982919,0.426829,0.753086,0.863125,1,0.690184,1,0.981315,0.996774,1,0.980608,0.894172,1] area_under_roc_curve 0.927522 [0.823045,0.996933,0.9875,0.996774,0.875,0.469512,0.962466,1,0.720859,0.993631,0.910684,0.798354,0.975932,0.817073,0.996914,0.65875,0.996933,0.996933,1,0.935904,0.950118,1,0.915094,0.966258,0.490854] area_under_roc_curve 0.938874 [0.80144,0.742331,1,1,0.996914,1,0.960055,0.75,0.990798,0.996815,0.91913,0.826087,0.999224,0.896341,0.954733,0.99375,1,0.843558,0.997671,0.852649,0.996753,0.996951,0.916143,0.892638,1] area_under_roc_curve 0.924601 [1,1,0.996875,0.846774,1,0.466463,0.957185,0.996933,0.986196,0.996795,0.878906,0.81893,1,0.961656,0.988683,0.976875,1,0.68865,1,0.869433,0.996774,1,0.899371,0.661043,1] area_under_roc_curve 0.922776 [1,1,0.985248,0.993548,1,0.466463,0.924128,0.996933,0.984663,1,0.878062,0.600823,0.867236,0.984756,0.996933,0.80625,1,0.983129,1,0.978713,0.996774,1,0.778302,0.690184,1] area_under_roc_curve 0.960793 [1,0.996933,1,1,1,0.748466,0.979683,1,0.981595,1,0.939702,1,0.958075,0.381098,1,0.920625,1,0.924847,1,0.970648,1,1,0.82914,0.889571,1] area_under_roc_curve 0.945674 [0.871894,1,0.99,0.996774,0.820988,0.996951,0.949151,1,1,1,0.952597,0.990741,0.996118,0.478659,0.580247,0.93625,1,0.691718,1,0.976721,1,1,0.889937,0.662577,1] area_under_roc_curve 0.930981 [1,0.993865,0.996875,0.946452,1,1,0.948118,0.43865,0.895706,1,0.927365,1,0.67236,0.380368,1,0.98125,1,0.85061,1,0.892384,0.996753,1,0.910377,0.889571,1] area_under_roc_curve 0.932834 [0.769547,0.739264,0.993012,0.996452,0.990683,1,0.980487,0.996933,0.693252,1,0.900338,1,0.939441,0.840491,0.611111,0.864375,0.996951,0.996951,0.995342,0.919111,1,0.996933,0.916143,0.889571,0.47561] area_under_roc_curve 0.940534 [0.832305,0.740798,0.99125,0.941239,1,1,0.990817,1,1,0.996795,0.951753,0.789095,0.975155,0.481595,0.949387,0.545,1,0.716258,0.995885,0.954588,1,0.996933,0.890985,0.960123,1] area_under_roc_curve 0.941567 [1,1,0.979814,0.990323,0.871894,0.746933,0.974633,1,0.969512,0.99359,0.882073,1,0.99146,0.742331,1,0.9825,0.996951,0.981595,0.833333,0.983047,0.996753,1,0.812369,0.957055,0.487805] area_under_roc_curve 0.91812 [0.800412,0.691718,0.893125,0.996774,1,0.993902,0.95489,1,1,1,0.882179,0.790123,0.881988,0.993902,0.605967,0.72125,0.996933,0.656442,0.994856,0.950095,0.993506,0.996951,0.916667,0.895706,1] 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 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 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 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 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 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 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 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 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 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 0.824899 [0.666667,0.5,0.888889,0.952381,1,0.8,0.923077,0.666667,0,1,0.820513,0.5,0.5,0,0.5,0.888889,0.8,0.666667,1,0.666667,1,1,1,0,1] f_measure 0.818073 [0.8,0.666667,0.888889,0.952381,1,0,0.914286,0.4,0.666667,0.947368,0.823529,0.8,0.571429,0,1,0.444444,1,0.666667,1,0.88,0.952381,0.666667,0.8,0,0] f_measure 0.827647 [1,0.8,1,1,0.888889,1,0.852941,1,0.5,1,0.843373,1,0.4,0,0,0.333333,1,0,1,0.857143,1,1,0.769231,0,1] f_measure 0.814216 [0.857143,0.5,0.75,0.909091,1,0.666667,0.939394,0.8,0.5,1,0.805195,1,0.75,0,0.571429,0.461538,1,0.4,0.8,0.8,1,0.5,0.6,0,1] f_measure 0.806127 [0.857143,0.666667,1,1,1,1,0.865672,0.4,0,0.947368,0.829268,0.5,0.333333,0,0,0.888889,1,1,1,0.642857,1,1,0.923077,0,1] f_measure 0.791155 [0.666667,0.4,0.888889,0.952381,1,0.666667,0.885246,1,0.666667,0.941176,0.790123,0.666667,0.666667,0,0.8,0.444444,1,0.666667,1,0.580645,0.952381,1,0.615385,0,1] f_measure 0.844646 [0.8,0.8,1,1,1,1,0.885714,1,0.5,1,0.883117,0.857143,0.333333,0,0.5,0.8,0.666667,0,0.857143,0.814815,1,0.8,0.8,0,1] f_measure 0.818687 [1,0.8,1,1,0.857143,0.666667,0.84058,0.5,0.4,0.941176,0.835443,0.8,0.727273,0,0.5,0.571429,1,1,1,0.666667,0.956522,1,1,0,1] f_measure 0.813726 [0.8,0,0.888889,1,1,0.8,0.9375,0.8,0.666667,1,0.775,0.666667,0.888889,0.4,1,0.333333,1,0,1,0.592593,0.952381,1,1,0,1] f_measure 0.866923 [0.857143,0.666667,1,1,1,1,0.935484,0.8,0,1,0.886076,1,0.666667,0,0.857143,0.6,1,0.333333,1,0.782609,0.909091,1,0.727273,0,1] f_measure 0.850656 [1,0,1,1,1,1,0.923077,1,0,1,0.883117,0.857143,0.25,0.666667,0.5,0.545455,1,0.5,1,0.88,1,1,0.666667,0,0] f_measure 0.798739 [0.8,0.666667,1,0.952381,0.857143,1,0.852941,1,0,0.9,0.837838,0.857143,0.833333,0,0,0.545455,0.8,0.4,0.8,0.64,1,0.8,0.769231,0,1] f_measure 0.795969 [0.8,0.8,0.888889,1,0.888889,0.666667,0.852941,0.8,0,0.947368,0.816901,0.666667,0.5,0,0,0.666667,1,1,0.8,0.733333,0.916667,0.8,0.769231,0,0] f_measure 0.777016 [1,0.666667,1,1,1,1,0.769231,0.666667,0,1,0.833333,0.666667,0,0,0.4,0.666667,0.666667,0,0.8,0.75,1,1,0.666667,0,1] f_measure 0.831047 [0.857143,0.666667,1,0.952381,1,1,0.857143,0.8,1,0.941176,0.873239,1,0.727273,0,0.5,0.285714,1,0.5,1,0.785714,1,1,0.705882,0,0] f_measure 0.812293 [0.857143,1,0.888889,0.909091,0.857143,0.666667,0.830769,0.8,0,0.947368,0.868421,0.8,0.571429,0,0.4,0.571429,1,0.5,1,0.758621,1,1,0.727273,0,1] f_measure 0.754217 [1,0.666667,0.909091,0.952381,1,0.5,0.83871,1,0,1,0.756757,0.571429,0.545455,0,0.4,0.461538,1,0.5,0.857143,0.740741,0.818182,0.666667,0.363636,0,1] f_measure 0.827927 [1,0,0.857143,1,1,0.666667,0.888889,0.8,0,1,0.85,0.8,0.769231,0,0.5,0.666667,1,0.5,1,0.916667,0.956522,1,0.545455,0,1] f_measure 0.804353 [0.888889,1,1,0.888889,1,0.666667,0.848485,1,0,0.947368,0.821918,0.8,1,0,0,0.25,1,0.4,1,0.928571,0.88,1,0.545455,0,1] f_measure 0.837115 [1,0.666667,1,1,0.8,0.8,0.9375,0.8,0,1,0.839506,0.857143,0.571429,0,0.857143,0.666667,1,0.666667,1,0.8,0.909091,1,0.6,0,0] f_measure 0.82272 [1,0,0.909091,0.947368,0.888889,1,0.901408,1,0.666667,1,0.883117,0.8,0.545455,0.5,0,0.444444,1,0.25,0.8,0.869565,0.9,0.666667,0.666667,0,0] f_measure 0.825478 [1,0.666667,0.888889,0.9,1,1,0.852459,0.8,0,1,0.876712,1,0.5,0.5,1,0.4,1,0.5,1,0.764706,0.952381,1,0.4,0,1] f_measure 0.83074 [1,0.666667,0.888889,0.823529,1,0.8,0.923077,1,0.666667,1,0.820513,1,0.666667,0,0.8,0.333333,0.5,0.5,1,0.875,0.952381,1,0.666667,0,1] f_measure 0.770961 [1,0.333333,1,1,1,0,0.885246,0.8,0.666667,0.947368,0.72973,0.444444,0,0,0.8,0.285714,1,0.666667,1,0.727273,0.814815,1,0.833333,0,1] f_measure 0.751606 [0.8,0,0.888889,0.909091,1,1,0.830769,1,0,1,0.8,1,0,0,0.666667,0,0.666667,0.5,0.857143,0.666667,1,0.666667,0.8,0,1] f_measure 0.847397 [0.8,0.5,0.888889,1,1,0.666667,0.927536,1,0,0.947368,0.886076,1,0.8,0,0.8,0.8,1,0,0.666667,0.740741,1,1,0.8,0,1] f_measure 0.837751 [1,0,0.909091,0.947368,1,1,0.848485,0.8,0.666667,1,0.875,0.857143,0.857143,0,0.857143,0.285714,0.666667,0.8,1,0.846154,0.909091,1,0.769231,0,1] f_measure 0.786784 [0.857143,0,1,0.952381,1,1,0.8,1,0.666667,1,0.842105,0.666667,0.5,0,0.4,0.363636,1,1,0.857143,0.75,0.88,1,0.6,0,1] f_measure 0.824848 [1,0.571429,0.75,0.869565,1,1,0.875,0.571429,0,0.947368,0.894737,0.857143,0.444444,0,0.8,0.8,1,0.8,1,0.814815,0.857143,1,0.833333,0,1] f_measure 0.863847 [0.857143,0.666667,0.75,0.909091,1,0.8,0.90625,1,0.8,0.947368,0.891892,0.8,0.8,0,0.8,0.833333,0.666667,0.666667,1,0.83871,0.952381,0.666667,0.909091,0,1] f_measure 0.841413 [1,0.8,0.75,0.9,1,0.666667,0.898551,0.8,0.4,1,0.897436,0.8,0.888889,0,0.5,0.6,1,0,1,0.8,0.952381,1,0.909091,0,1] f_measure 0.800284 [1,0.333333,1,0.941176,1,0.666667,0.895522,1,0.666667,1,0.814815,0.8,0.333333,0,0,0.444444,0.8,0.4,0.857143,0.740741,0.956522,0.666667,0.833333,0,1] f_measure 0.814601 [0.857143,1,0.888889,0.952381,1,1,0.869565,0.8,0,1,0.864865,0.8,1,0,0,0.545455,1,0.666667,1,0.689655,1,1,0.545455,0,1] f_measure 0.801428 [0.857143,0.666667,0.909091,0.9,1,0.666667,0.8125,1,0,1,0.864198,1,0.75,0,0.666667,0,1,0.5,1,0.740741,0.952381,1,0.714286,0,1] f_measure 0.791699 [1,0.571429,0.666667,0.952381,0.888889,0.666667,0.852459,1,0.666667,1,0.8,0.8,0.571429,0,0.6,0.615385,0.5,0.4,0.8,0.857143,0.909091,0.8,0.545455,0,1] f_measure 0.770437 [0.8,0,0.909091,0.842105,0.75,0.5,0.888889,0.8,0.666667,1,0.8,0.8,0.666667,0,0,0.545455,0.8,0.571429,0.666667,0.733333,0.952381,0.4,0.769231,0,0] f_measure 0.779253 [1,0.666667,0.75,0.857143,1,1,0.833333,1,0,1,0.814815,1,0.727273,0,0.5,0.5,1,0,1,0.416667,1,1,0.833333,0,1] f_measure 0.801223 [0.8,0.666667,0.833333,0.888889,0.888889,0.8,0.911765,0.8,0.666667,1,0.819277,1,0.4,0,0.8,0,0.8,0.4,1,0.8,0.952381,1,0.6,0,1] f_measure 0.787056 [1,0.8,1,1,1,0.666667,0.898551,1,0,0.947368,0.764706,0.8,0.615385,0,0.4,0.4,0.666667,0.4,1,0.714286,0.952381,0,0.615385,0,1] f_measure 0.776028 [0.8,0.666667,1,0.842105,0.857143,0.8,0.848485,1,0.666667,1,0.763158,0.4,0.444444,0.4,0.5,0.571429,1,0.4,1,0.642857,0.952381,1,0.727273,0,1] f_measure 0.773864 [1,0.666667,0.857143,0.833333,0.888889,0.5,0.941176,1,0,0.9,0.75,1,0.571429,0,0.8,0.4,1,0.5,1,0.692308,0.952381,1,0.5,0,0] f_measure 0.804412 [0.8,0.5,0.888889,0.952381,0.8,0.444444,0.90625,1,0.5,1,0.794521,0.8,0.75,0,0.75,0.333333,1,0.666667,0.857143,0.814815,0.818182,1,0.857143,0,0] f_measure 0.800438 [0.666667,0,0.909091,0.947368,0.857143,0.8,0.895522,1,0,0.941176,0.783784,0.857143,0.571429,0,1,0.888889,1,0.5,1,0.689655,0.818182,0.666667,0.857143,0,1] f_measure 0.855154 [1,0.8,0.888889,0.952381,0.857143,1,0.895522,1,0.666667,0.947368,0.864865,0.666667,0.571429,0.666667,0.5,0.75,1,0.666667,1,0.827586,0.909091,1,0.769231,0,1] f_measure 0.810497 [1,0,1,0.888889,1,0,0.952381,0.8,0,0.947368,0.8,1,0.444444,0,0.75,0.6,1,0,0.857143,0.814815,0.952381,1,0.833333,0,1] f_measure 0.836695 [0.857143,0.571429,0.75,0.8,1,1,0.84375,1,0.5,0.947368,0.921053,0.75,0.666667,0,0.8,0.666667,1,0.666667,1,0.8,0.947368,1,0.666667,0,1] f_measure 0.864267 [0.8,1,1,0.952381,1,1,0.911765,1,0,1,0.875,0.8,0.8,0,0.4,0.285714,1,0.666667,0.8,0.888889,1,1,0.833333,0,1] f_measure 0.803889 [0.8,0.666667,0.888889,0.9,0.888889,1,0.878788,0.666667,0.5,1,0.8,0.8,0.857143,0.666667,0.8,0.285714,1,0,1,0.689655,1,1,0.8,0,0] f_measure 0.81582 [1,0,0.8,0.888889,1,0.666667,0.925373,1,0,1,0.876712,0.8,0.615385,0,0.571429,0.4,1,0.5,0.4,0.714286,0.952381,0.666667,0.857143,0,1] f_measure 0.845823 [1,0.666667,1,1,1,0,0.90625,1,1,1,0.857143,1,0.8,0,0.5,0.666667,1,0.4,0.888889,0.785714,0.842105,1,0.857143,0,1] f_measure 0.833169 [1,0.666667,1,1,1,1,0.852941,0.8,0.666667,1,0.815789,1,0.571429,0,1,0.5,1,0.666667,1,0.75,0.947368,1,0.769231,0,1] f_measure 0.860199 [1,1,0.909091,0.947368,1,1,0.878788,1,0.666667,0.941176,0.868421,1,0.571429,0,0.666667,0.8,1,0.666667,1,0.774194,0.956522,1,0.8,0,1] f_measure 0.8519 [0.8,0.666667,1,0.947368,1,0.8,0.970588,0.8,0.666667,1,0.868421,1,0.666667,0,0,0.5,1,0.666667,1,0.75,0.952381,1,0.909091,0,1] f_measure 0.839594 [0.857143,0.5,1,1,0.8,1,0.925373,1,0.666667,0.9,0.853333,1,0.666667,0,0,0.666667,1,0,1,0.785714,1,1,1,0,0] f_measure 0.867426 [1,0.8,0.888889,0.952381,1,1,0.939394,1,0.5,1,0.906667,1,0.545455,0,1,0.444444,1,1,1,0.785714,0.947368,1,0.666667,0,1] f_measure 0.820947 [1,0.666667,1,0.909091,0.888889,1,0.895522,0.666667,0.666667,1,0.825,1,0.333333,0,0.666667,0.222222,1,0.666667,1,0.75,1,1,0.615385,0,1] f_measure 0.818277 [1,1,0.888889,0.947368,1,0,0.923077,1,0.5,0.9,0.805556,0.333333,0.5,0,0.5,0.444444,1,0.4,1,0.888889,1,1,0.588235,0,1] f_measure 0.791322 [0.857143,0.666667,0.8,0.869565,0.857143,1,0.888889,1,0,0.947368,0.783784,1,0.444444,0,0.75,0.285714,1,0,1,0.814815,0.947368,0.666667,0.8,0,1] f_measure 0.820461 [0.857143,1,1,0.952381,1,1,0.852941,0.666667,0.666667,1,0.860759,1,0.5,0,0.5,0.666667,1,0,1,0.666667,1,1,0.545455,0,1] f_measure 0.790449 [0.857143,0.5,1,0.952381,1,1,0.869565,1,0,1,0.790123,1,0.545455,0,0,0.571429,1,0,0.8,0.72,1,0.8,0.666667,0,1] f_measure 0.780373 [1,0.8,0.888889,0.909091,0.857143,0.666667,0.830769,0.8,0.5,0.947368,0.804878,1,0.857143,0,0.5,0.222222,0.666667,0.5,1,0.692308,0.952381,1,0.4,0,1] f_measure 0.795124 [0.857143,0.5,0.75,0.909091,0.857143,0.666667,0.848485,1,0.666667,1,0.826667,1,0.666667,0,0,0.666667,1,0.4,1,0.592593,1,1,0.8,0,1] f_measure 0.808444 [1,0.666667,1,0.842105,1,0.666667,0.909091,0.8,0.5,0.9,0.835443,0.857143,0.4,0,0.571429,0.545455,0.666667,0.5,1,0.666667,1,1,0.727273,0,1] f_measure 0.791443 [0.8,0.666667,0.75,0.952381,0.857143,0.666667,0.925373,0.8,0,1,0.823529,0.666667,0.888889,0,0,0.444444,1,0.8,1,0.695652,0.952381,1,0.6,0,0] f_measure 0.816514 [0.8,0,0.833333,0.888889,0.888889,0.8,0.878788,0.8,0,1,0.88,0.8,0.888889,0,1,0.545455,1,0,1,0.8,0.952381,1,0.727273,0,0] f_measure 0.81538 [1,1,1,1,1,0.8,0.865672,1,0,1,0.85,0.666667,0.666667,0,0.8,0.444444,0.666667,0.333333,1,0.666667,0.916667,1,0.727273,0,1] f_measure 0.847138 [1,0.5,1,1,0.857143,0,0.873239,1,0.666667,0.9,0.935065,1,0.666667,0,1,0.666667,1,0,1,0.740741,0.952381,1,0.909091,0,0] f_measure 0.801908 [0.8,0.666667,1,1,1,1,0.892308,1,0.333333,0.947368,0.825,0.857143,0.571429,0,0,0.444444,1,0.333333,0.8,0.785714,0.952381,1,0.615385,0,0] f_measure 0.816352 [0.4,0,1,1,0.8,1,0.911765,0.8,1,1,0.8,1,0.285714,0,0.666667,0.545455,0.8,0.666667,1,0.814815,1,1,0.769231,0,0] f_measure 0.814042 [1,0,0.857143,0.909091,1,0.5,0.892308,1,0.666667,1,0.857143,0.75,0.444444,0,1,0.363636,1,0.5,1,0.769231,0.956522,1,0.625,0,1] f_measure 0.8326 [1,0.8,1,0.947368,1,1,0.911765,1,0.666667,1,0.857143,0.857143,0.571429,0,0,0.444444,1,0,1,0.774194,0.88,1,0.857143,0,1] f_measure 0.806153 [1,0.333333,1,1,1,1,0.888889,1,0,1,0.861111,1,0.2,0,0.857143,0.4,1,0,0.8,0.636364,0.947368,1,0.666667,0,1] f_measure 0.801714 [1,0.333333,0.833333,0.888889,0.857143,1,0.909091,1,0.666667,1,0.816901,1,0.428571,0,0.75,0.666667,1,0,0.8,0.769231,0.857143,0.8,0.727273,0,0] f_measure 0.800029 [0.8,0.285714,1,0.952381,0.888889,1,0.811594,0.8,0.666667,1,0.864865,1,0.5,0,0,0.333333,1,0.666667,0.857143,0.833333,0.9,1,0.666667,0,1] f_measure 0.820973 [0.857143,0.666667,0.909091,0.947368,1,1,0.911765,1,0.666667,0.947368,0.756757,1,0.571429,0,0.5,0.727273,1,0.666667,1,0.666667,0.9,1,0.833333,0,1] f_measure 0.792893 [0.8,0.666667,1,1,1,1,0.955224,1,0.666667,1,0.717949,1,0.285714,0,0.666667,0.4,0.666667,0.333333,1,0.72,0.869565,1,0.545455,0,1] f_measure 0.835205 [1,0.4,0.888889,0.909091,1,1,0.909091,0.4,0.5,1,0.810811,1,0.545455,0,1,0.666667,1,0.666667,1,0.740741,1,1,0.909091,0,1] f_measure 0.878037 [1,0.8,1,1,1,1,0.925373,0.8,1,1,0.90411,0.857143,0.75,0,0.666667,0.666667,0.5,0.666667,1,0.714286,1,1,0.769231,0,1] f_measure 0.808674 [1,0.5,1,1,1,1,0.83871,1,0.5,1,0.860759,0.666667,0,0,0.333333,0.363636,1,0.5,1,0.8,0.952381,1,0.727273,0,1] f_measure 0.826706 [1,0.5,1,1,1,1,0.885714,0.8,0.5,0.941176,0.833333,1,0.545455,0,0,0.4,1,0.4,0.8,0.833333,1,1,0.833333,0,1] f_measure 0.868098 [0.8,0.666667,1,0.947368,1,0.666667,0.953846,1,0.666667,1,0.829268,1,0.727273,0,1,0.8,0.666667,1,0.888889,0.72,0.952381,1,0.909091,0,1] f_measure 0.82427 [1,1,1,1,1,0.666667,0.923077,0.8,0,1,0.820513,0.75,0.666667,0,0.5,0.5,0.666667,0,1,0.689655,0.947368,1,0.923077,0,1] f_measure 0.771851 [0.8,0.571429,0.888889,0.909091,1,0.666667,0.84375,0.666667,0.666667,0.947368,0.753247,1,0.666667,0,0.666667,0.5,1,0.333333,0.666667,0.56,1,1,0.727273,0,1] f_measure 0.831162 [0.8,0.5,1,0.9,1,0.666667,0.952381,0.8,0,1,0.795181,1,0.75,0,1,0.222222,0.666667,1,1,0.8,1,1,0.727273,0,1] f_measure 0.813337 [0.8,0.666667,0.769231,0.823529,0.8,0.666667,0.90411,1,0,0.947368,0.85,0.75,0.75,0,0.8,0.666667,1,0.5,0.8,0.782609,1,0.8,0.6,0,1] f_measure 0.815385 [1,0.8,1,1,1,0,0.895522,0.666667,0.5,0.941176,0.820513,0.857143,0.545455,0,1,0.571429,1,1,1,0.666667,0.909091,1,0.727273,0,0] f_measure 0.851248 [0.857143,0.571429,1,1,1,0.8,0.909091,0.8,0,1,0.853333,1,0.666667,0,0.666667,0.4,1,1,1,0.888889,0.952381,1,0.833333,0,1] f_measure 0.808709 [1,1,1,0.952381,1,0.666667,0.914286,0.8,0,1,0.779221,1,0.4,0,1,0.666667,1,0.5,0.8,0.615385,0.857143,0.8,0.833333,0,1] f_measure 0.835942 [0.8,0,0.888889,0.947368,1,0.5,0.909091,1,1,1,0.857143,0.857143,0.545455,0,0.5,0.444444,1,0.5,1,0.846154,0.952381,1,0.833333,0,1] f_measure 0.801375 [0.8,0.8,0.888889,0.952381,0.857143,0,0.898551,1,0,0.888889,0.810127,0.8,0.444444,0,0.857143,0.333333,0.8,0.8,1,0.785714,0.952381,1,0.833333,0,0] f_measure 0.840636 [0.8,0.5,1,1,0.857143,1,0.878788,0.666667,0.5,0.941176,0.85,0.857143,0.857143,0,0.571429,0.888889,1,0.666667,0.857143,0.714286,0.956522,0.666667,0.909091,0,1] f_measure 0.795076 [0.857143,0.666667,0.909091,0.777778,1,0,0.909091,0.8,0.666667,0.947368,0.805556,0.666667,0.888889,0.333333,0.571429,0.5,1,0.333333,1,0.592593,0.952381,1,0.727273,0,1] f_measure 0.79603 [1,1,0.857143,0.909091,1,0,0.875,0.8,0.666667,1,0.821918,0.5,0.857143,0,0.666667,0,1,0.4,1,0.774194,0.952381,1,0.363636,0,1] f_measure 0.857928 [0.857143,0.8,1,1,1,0.5,0.875,1,0.5,1,0.85,1,0.571429,0,1,0.727273,1,0.666667,1,0.814815,1,1,0.727273,0,1] f_measure 0.823419 [0.857143,1,0.888889,0.952381,0.666667,0.666667,0.818182,1,0.666667,1,0.894737,0.666667,0.8,0,0,0.5,1,0.5,1,0.758621,1,1,0.8,0,1] f_measure 0.814364 [1,0.4,0.909091,0.9,1,1,0.923077,0,0,1,0.819277,1,0.571429,0,1,0.75,1,0,1,0.692308,0.956522,1,0.666667,0,1] f_measure 0.781733 [0.5,0.5,0.857143,0.9,0.727273,1,0.909091,0.8,0.5,1,0.794872,1,0.285714,0,0.5,0.6,0.666667,0.666667,0.857143,0.666667,1,0.8,0.8,0,0] f_measure 0.836172 [0.8,0.666667,0.8,0.888889,1,1,0.956522,1,0.666667,0.947368,0.906667,0.8,0.5,0,0.666667,0.222222,1,0,0.8,0.866667,1,0.8,0.714286,0,1] f_measure 0.810008 [1,1,0.857143,0.909091,0.75,0.666667,0.909091,1,0,0.9,0.789474,1,0.857143,0,1,0.285714,0.666667,0.5,0.8,0.787879,0.956522,1,0.8,0,0] f_measure 0.772312 [0.8,0.666667,0.888889,0.952381,1,0.4,0.861538,1,0.666667,1,0.78481,0.8,0,0,0.4,0.222222,0.8,0.5,0.8,0.733333,0.916667,0.666667,0.8,0,1] kappa 0.81573 kappa 0.812837 kappa 0.834414 kappa 0.795634 kappa 0.807185 kappa 0.767813 kappa 0.835616 kappa 0.80795 kappa 0.795087 kappa 0.850506 kappa 0.843287 kappa 0.788752 kappa 0.782429 kappa 0.762479 kappa 0.811042 kappa 0.795592 kappa 0.729454 kappa 0.815957 kappa 0.789487 kappa 0.829063 kappa 0.808211 kappa 0.803894 kappa 0.815578 kappa 0.755813 kappa 0.745546 kappa 0.84212 kappa 0.835677 kappa 0.775538 kappa 0.816364 kappa 0.85733 kappa 0.835671 kappa 0.787285 kappa 0.808929 kappa 0.794707 kappa 0.770092 kappa 0.755703 kappa 0.772063 kappa 0.793498 kappa 0.769858 kappa 0.754881 kappa 0.766371 kappa 0.790242 kappa 0.78896 kappa 0.843338 kappa 0.802113 kappa 0.816852 kappa 0.855676 kappa 0.793 kappa 0.802947 kappa 0.836668 kappa 0.822197 kappa 0.849873 kappa 0.843306 kappa 0.836278 kappa 0.857125 kappa 0.808021 kappa 0.796859 kappa 0.776472 kappa 0.814908 kappa 0.786677 kappa 0.766777 kappa 0.782259 kappa 0.794842 kappa 0.779429 kappa 0.809352 kappa 0.808124 kappa 0.848904 kappa 0.78775 kappa 0.809164 kappa 0.797339 kappa 0.834178 kappa 0.787415 kappa 0.781998 kappa 0.787353 kappa 0.80794 kappa 0.772737 kappa 0.815222 kappa 0.869868 kappa 0.80099 kappa 0.815061 kappa 0.855045 kappa 0.814329 kappa 0.746481 kappa 0.820832 kappa 0.805416 kappa 0.800459 kappa 0.842413 kappa 0.799808 kappa 0.821473 kappa 0.79927 kappa 0.827312 kappa 0.774944 kappa 0.774553 kappa 0.84875 kappa 0.814514 kappa 0.8062 kappa 0.765987 kappa 0.827773 kappa 0.807138 kappa 0.751838 kb_relative_information_score 132.599943 kb_relative_information_score 126.078146 kb_relative_information_score 134.438002 kb_relative_information_score 130.958092 kb_relative_information_score 129.170582 kb_relative_information_score 123.245313 kb_relative_information_score 133.821739 kb_relative_information_score 133.776583 kb_relative_information_score 128.87035 kb_relative_information_score 139.896577 kb_relative_information_score 138.93224 kb_relative_information_score 127.785361 kb_relative_information_score 127.125138 kb_relative_information_score 123.288965 kb_relative_information_score 134.21228 kb_relative_information_score 130.659284 kb_relative_information_score 124.457021 kb_relative_information_score 130.131948 kb_relative_information_score 127.431358 kb_relative_information_score 133.664032 kb_relative_information_score 126.372476 kb_relative_information_score 133.80188 kb_relative_information_score 130.808769 kb_relative_information_score 126.687139 kb_relative_information_score 124.376245 kb_relative_information_score 134.458399 kb_relative_information_score 134.901542 kb_relative_information_score 128.873226 kb_relative_information_score 132.367034 kb_relative_information_score 135.418253 kb_relative_information_score 135.343299 kb_relative_information_score 131.271297 kb_relative_information_score 134.07518 kb_relative_information_score 131.816887 kb_relative_information_score 127.904893 kb_relative_information_score 121.390803 kb_relative_information_score 125.81521 kb_relative_information_score 126.183914 kb_relative_information_score 127.350066 kb_relative_information_score 129.458486 kb_relative_information_score 121.51451 kb_relative_information_score 130.097622 kb_relative_information_score 127.651146 kb_relative_information_score 137.428209 kb_relative_information_score 130.798128 kb_relative_information_score 135.575495 kb_relative_information_score 132.745264 kb_relative_information_score 127.762643 kb_relative_information_score 132.514903 kb_relative_information_score 134.612961 kb_relative_information_score 134.580431 kb_relative_information_score 137.239459 kb_relative_information_score 138.323054 kb_relative_information_score 137.180345 kb_relative_information_score 139.04917 kb_relative_information_score 131.227768 kb_relative_information_score 128.296615 kb_relative_information_score 130.079599 kb_relative_information_score 132.768149 kb_relative_information_score 126.598567 kb_relative_information_score 124.722237 kb_relative_information_score 127.970125 kb_relative_information_score 130.425932 kb_relative_information_score 124.091158 kb_relative_information_score 132.512483 kb_relative_information_score 133.149595 kb_relative_information_score 135.827659 kb_relative_information_score 122.89952 kb_relative_information_score 133.339511 kb_relative_information_score 132.395331 kb_relative_information_score 133.97766 kb_relative_information_score 129.397228 kb_relative_information_score 129.160868 kb_relative_information_score 128.212327 kb_relative_information_score 133.586744 kb_relative_information_score 125.221456 kb_relative_information_score 133.870098 kb_relative_information_score 141.578828 kb_relative_information_score 130.798636 kb_relative_information_score 133.158707 kb_relative_information_score 136.538991 kb_relative_information_score 133.032894 kb_relative_information_score 122.801173 kb_relative_information_score 134.157535 kb_relative_information_score 126.219222 kb_relative_information_score 129.031109 kb_relative_information_score 139.207798 kb_relative_information_score 131.232027 kb_relative_information_score 130.10051 kb_relative_information_score 127.158162 kb_relative_information_score 131.70778 kb_relative_information_score 129.034864 kb_relative_information_score 127.547823 kb_relative_information_score 137.545253 kb_relative_information_score 129.216702 kb_relative_information_score 128.493809 kb_relative_information_score 123.307449 kb_relative_information_score 129.375599 kb_relative_information_score 132.342169 kb_relative_information_score 122.871912 mean_absolute_error 0.017867 mean_absolute_error 0.01819 mean_absolute_error 0.016399 mean_absolute_error 0.018577 mean_absolute_error 0.019239 mean_absolute_error 0.021772 mean_absolute_error 0.016469 mean_absolute_error 0.017496 mean_absolute_error 0.018628 mean_absolute_error 0.015106 mean_absolute_error 0.016315 mean_absolute_error 0.019931 mean_absolute_error 0.019641 mean_absolute_error 0.020179 mean_absolute_error 0.017789 mean_absolute_error 0.01795 mean_absolute_error 0.022268 mean_absolute_error 0.01869 mean_absolute_error 0.020002 mean_absolute_error 0.015945 mean_absolute_error 0.018077 mean_absolute_error 0.017482 mean_absolute_error 0.017646 mean_absolute_error 0.021456 mean_absolute_error 0.021554 mean_absolute_error 0.016333 mean_absolute_error 0.017152 mean_absolute_error 0.020429 mean_absolute_error 0.016936 mean_absolute_error 0.015709 mean_absolute_error 0.016088 mean_absolute_error 0.018608 mean_absolute_error 0.017255 mean_absolute_error 0.018674 mean_absolute_error 0.019943 mean_absolute_error 0.021991 mean_absolute_error 0.020532 mean_absolute_error 0.019548 mean_absolute_error 0.02068 mean_absolute_error 0.020815 mean_absolute_error 0.021424 mean_absolute_error 0.019434 mean_absolute_error 0.019332 mean_absolute_error 0.01676 mean_absolute_error 0.017751 mean_absolute_error 0.016993 mean_absolute_error 0.017041 mean_absolute_error 0.019314 mean_absolute_error 0.01836 mean_absolute_error 0.016228 mean_absolute_error 0.017461 mean_absolute_error 0.015816 mean_absolute_error 0.016213 mean_absolute_error 0.016052 mean_absolute_error 0.014499 mean_absolute_error 0.018238 mean_absolute_error 0.019653 mean_absolute_error 0.020279 mean_absolute_error 0.017181 mean_absolute_error 0.019224 mean_absolute_error 0.021337 mean_absolute_error 0.020589 mean_absolute_error 0.018888 mean_absolute_error 0.020475 mean_absolute_error 0.017322 mean_absolute_error 0.018163 mean_absolute_error 0.015036 mean_absolute_error 0.020335 mean_absolute_error 0.017905 mean_absolute_error 0.019467 mean_absolute_error 0.016394 mean_absolute_error 0.019086 mean_absolute_error 0.01863 mean_absolute_error 0.019645 mean_absolute_error 0.017979 mean_absolute_error 0.019862 mean_absolute_error 0.016716 mean_absolute_error 0.013753 mean_absolute_error 0.018939 mean_absolute_error 0.017581 mean_absolute_error 0.015695 mean_absolute_error 0.016776 mean_absolute_error 0.02235 mean_absolute_error 0.017013 mean_absolute_error 0.018806 mean_absolute_error 0.01913 mean_absolute_error 0.015559 mean_absolute_error 0.018458 mean_absolute_error 0.017931 mean_absolute_error 0.018747 mean_absolute_error 0.017442 mean_absolute_error 0.020113 mean_absolute_error 0.019132 mean_absolute_error 0.016154 mean_absolute_error 0.018105 mean_absolute_error 0.017917 mean_absolute_error 0.021251 mean_absolute_error 0.017057 mean_absolute_error 0.017296 mean_absolute_error 0.020808 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.070926 mean_prior_absolute_error 0.071001 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07092 mean_prior_absolute_error 0.071006 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070935 mean_prior_absolute_error 0.070986 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071026 mean_prior_absolute_error 0.070993 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071003 mean_prior_absolute_error 0.071007 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.071047 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.071045 mean_prior_absolute_error 0.070987 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071038 mean_prior_absolute_error 0.071029 mean_prior_absolute_error 0.071009 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071021 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070982 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.07104 mean_prior_absolute_error 0.070995 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.070941 mean_prior_absolute_error 0.070888 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071015 mean_prior_absolute_error 0.071027 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07095 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.070996 mean_prior_absolute_error 0.070967 mean_prior_absolute_error 0.070983 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070938 mean_prior_absolute_error 0.070985 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.070956 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070948 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.070961 mean_prior_absolute_error 0.070957 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070974 mean_prior_absolute_error 0.070947 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.07096 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.070972 mean_prior_absolute_error 0.070984 mean_prior_absolute_error 0.070961 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,1,9,37,4,5,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,11,1,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,37,4,5,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,8,37,3,4,1,3,5,2,2,4,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,3,5,2,2,3,14,10,1,6,1,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,5,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,37,3,5,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,4,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,38,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,1,9,38,3,5,1,3,5,2,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,2,1,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,9,4,1,33,2,2,9,37,3,4,1,3,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,38,3,4,2,2,5,1,2,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1] number_of_instances 165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1] number_of_instances 165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1] number_of_instances 165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] precision 0.830905 [1,0.5,1,0.909091,1,0.666667,0.9375,0.5,0,1,0.780488,1,0.5,0,0.5,1,0.666667,0.5,1,0.642857,1,1,1,0,1] precision 0.827185 [1,0.5,0.8,0.909091,1,0,0.864865,0.333333,1,0.9,0.744681,1,1,0,1,0.5,1,1,1,0.916667,1,1,1,0,0] precision 0.833217 [1,0.666667,1,1,0.8,1,0.828571,1,0.5,1,0.76087,1,1,0,0,1,1,0,1,0.857143,1,1,0.714286,0,1] precision 0.824461 [0.75,0.5,1,0.833333,1,1,0.939394,0.666667,0.5,1,0.775,1,0.75,0,0.5,0.375,1,0.333333,1,0.909091,1,0.5,0.75,0,1] precision 0.810062 [0.75,0.5,1,1,1,1,0.852941,0.333333,0,0.9,0.772727,1,1,0,0,1,1,1,1,0.6,1,1,0.857143,0,1] precision 0.809877 [1,0.333333,1,0.909091,1,0.5,0.964286,1,1,0.888889,0.727273,0.666667,1,0,1,0.5,1,0.5,1,0.529412,1,1,0.571429,0,1] precision 0.851575 [1,0.666667,1,1,1,1,0.837838,1,0.5,1,0.85,0.75,0.5,0,1,0.8,0.5,0,1,0.846154,1,0.666667,1,0,1] precision 0.827717 [1,0.666667,1,1,0.75,1,0.805556,0.5,0.333333,0.888889,0.804878,1,0.666667,0,1,1,1,1,1,0.727273,0.916667,1,1,0,1] precision 0.832199 [1,0,0.8,1,1,0.666667,0.967742,0.666667,1,1,0.738095,0.666667,0.8,0.333333,1,1,1,0,1,0.571429,1,1,1,0,1] precision 0.884438 [1,0.5,1,1,1,1,1,0.666667,0,1,0.833333,1,0.6,0,0.75,0.6,1,0.2,1,1,0.909091,1,0.8,0,1] precision 0.845708 [1,0,1,1,1,1,0.9375,1,0,1,0.85,0.75,0.25,1,0.5,0.5,1,0.5,1,0.916667,1,1,0.555556,0,0] precision 0.796112 [1,1,1,0.909091,1,1,0.828571,1,0,0.818182,0.837838,1,0.714286,0,0,0.5,0.666667,0.333333,1,0.666667,1,0.666667,0.714286,0,1] precision 0.796205 [1,0.666667,1,1,0.8,1,0.828571,0.666667,0,0.9,0.852941,0.666667,0.5,0,0,0.75,1,1,1,0.6875,0.846154,0.666667,0.714286,0,0] precision 0.777225 [1,0.5,1,1,1,1,0.78125,1,0,1,0.857143,0.666667,0,0,0.5,0.571429,0.5,0,1,0.666667,1,1,0.555556,0,1] precision 0.851366 [0.75,1,1,0.909091,1,1,0.9,0.666667,1,0.888889,0.911765,1,0.666667,0,1,0.5,1,0.5,1,0.785714,1,1,0.545455,0,0] precision 0.825042 [0.75,1,1,0.833333,1,1,0.84375,0.666667,0,0.9,0.846154,1,0.444444,0,0.5,1,1,0.5,1,0.733333,1,1,0.8,0,1] precision 0.761258 [1,1,0.833333,0.909091,1,0.5,0.896552,1,0,1,0.756757,0.5,0.428571,0,0.5,0.375,1,0.5,0.75,0.714286,0.818182,1,0.4,0,1] precision 0.834222 [1,0,1,1,1,1,0.933333,0.666667,0,1,0.790698,1,0.625,0,0.4,0.75,1,0.333333,1,1,0.916667,1,0.6,0,1] precision 0.804073 [0.8,1,1,1,1,0.5,0.848485,1,0,0.9,0.833333,1,1,0,0,0.333333,1,0.333333,1,0.866667,0.785714,1,0.6,0,1] precision 0.840384 [1,1,1,1,0.666667,0.666667,0.967742,0.666667,0,1,0.772727,0.75,0.666667,0,0.75,0.75,1,0.5,1,0.909091,0.909091,1,0.75,0,0] precision 0.832252 [1,0,0.833333,1,0.8,1,0.842105,1,1,1,0.85,1,0.428571,0.5,0,0.5,1,0.166667,1,1,1,1,0.666667,0,0] precision 0.842159 [1,1,1,0.9,1,1,0.928571,0.666667,0,1,0.888889,1,0.375,0.333333,1,0.4,1,0.5,1,0.65,1,1,0.5,0,1] precision 0.843823 [1,1,1,0.875,1,0.666667,0.9375,1,1,1,0.780488,1,0.6,0,1,0.285714,0.333333,0.5,1,0.777778,1,1,1,0,1] precision 0.781081 [1,0.25,1,1,1,0,0.964286,0.666667,1,0.9,0.72973,0.333333,0,0,1,0.5,1,1,1,0.631579,0.6875,1,0.833333,0,1] precision 0.747201 [1,0,0.8,0.833333,1,1,0.84375,1,0,1,0.708333,1,0,0,0.5,0,0.5,0.5,0.75,0.8,1,1,1,0,1] precision 0.84359 [1,0.5,1,1,1,0.5,0.888889,1,0,0.9,0.833333,1,0.8,0,1,0.8,1,0,0.666667,0.769231,1,1,1,0,1] precision 0.834249 [1,0,0.833333,1,1,1,0.848485,0.666667,1,1,0.813953,1,1,0,0.75,0.5,0.5,0.666667,1,0.846154,0.909091,1,0.714286,0,1] precision 0.784387 [0.75,0,1,0.909091,1,1,0.8125,1,1,1,0.820513,0.5,0.5,0,0.5,0.333333,1,1,0.75,0.818182,0.785714,1,0.75,0,1] precision 0.827518 [1,0.4,1,0.769231,1,1,0.903226,0.4,0,0.9,0.871795,1,0.5,0,0.666667,0.8,1,0.666667,1,0.846154,0.9,1,0.833333,0,1] precision 0.874031 [0.75,1,1,0.833333,1,0.666667,0.935484,1,0.666667,0.9,0.891892,1,0.8,0,1,0.714286,0.5,1,1,0.764706,0.909091,1,1,0,1] precision 0.847694 [1,0.666667,1,0.818182,1,1,0.861111,0.666667,0.333333,1,0.853659,1,0.8,0,1,0.6,1,0,1,0.909091,0.909091,1,1,0,1] precision 0.802531 [1,0.25,1,1,1,1,0.882353,1,1,1,0.75,1,0.5,0,0,0.5,0.666667,0.333333,1,0.769231,0.916667,0.5,0.833333,0,1] precision 0.804865 [0.75,1,1,0.909091,1,1,0.833333,0.666667,0,1,0.864865,1,1,0,0,0.5,1,0.5,1,0.666667,1,1,0.6,0,1] precision 0.792441 [0.75,1,0.833333,0.9,1,0.5,0.83871,1,0,1,0.795455,1,0.75,0,0.666667,0,1,0.5,1,0.769231,1,1,0.625,0,1] precision 0.815241 [1,0.4,1,0.909091,0.8,1,0.928571,1,1,1,0.789474,1,0.666667,0,0.428571,0.5,0.333333,0.333333,1,0.857143,0.909091,0.666667,0.6,0,1] precision 0.776512 [1,0,0.833333,0.888889,0.6,0.5,0.933333,0.666667,1,1,0.789474,1,0.6,0,0,0.5,0.666667,0.4,1,0.6875,0.909091,0.333333,0.714286,0,0] precision 0.776459 [1,1,1,0.818182,1,1,0.769231,1,0,1,0.75,1,0.666667,0,1,0.666667,1,0,1,0.454545,1,1,0.833333,0,1] precision 0.815257 [1,1,0.714286,1,0.8,0.666667,0.885714,0.666667,1,1,0.73913,1,1,0,1,0,0.666667,0.333333,1,0.909091,0.909091,1,0.75,0,1] precision 0.792535 [1,0.666667,1,1,1,0.5,0.861111,1,0,0.9,0.83871,1,0.5,0,0.5,0.4,0.5,0.25,1,0.714286,1,0,0.571429,0,1] precision 0.786267 [1,0.5,1,0.8,0.75,0.666667,0.848485,1,1,1,0.74359,0.5,0.5,0.333333,0.5,1,1,0.333333,1,0.642857,0.909091,1,0.8,0,1] precision 0.776804 [1,1,1,0.714286,0.8,0.5,0.914286,1,0,0.818182,0.697674,1,0.666667,0,1,0.4,1,0.5,1,0.75,0.909091,1,1,0,0] precision 0.827721 [1,0.5,1,0.909091,0.666667,0.285714,0.935484,1,0.5,1,0.805556,1,0.75,0,0.6,1,1,0.5,0.75,0.846154,0.818182,1,0.75,0,0] precision 0.79681 [0.666667,0,0.833333,1,1,0.666667,0.882353,1,0,0.888889,0.783784,0.75,0.666667,0,1,1,1,0.5,1,0.625,0.818182,1,0.75,0,1] precision 0.867737 [1,0.666667,1,0.909091,0.75,1,0.882353,1,1,0.9,0.864865,0.666667,0.666667,1,1,1,1,0.5,1,0.8,0.909091,1,0.714286,0,1] precision 0.803044 [1,0,1,0.888889,1,0,1,0.666667,0,0.9,0.744186,1,0.4,0,0.6,0.6,1,0,1,0.846154,0.909091,1,0.833333,0,1] precision 0.866253 [0.75,0.4,1,0.727273,1,1,0.870968,1,0.5,0.9,0.921053,0.6,1,0,0.666667,0.5,1,1,1,0.909091,1,1,1,0,1] precision 0.866923 [1,1,1,0.909091,1,1,0.885714,1,0,1,0.833333,1,0.8,0,0.5,0.5,1,0.5,1,0.923077,1,1,0.833333,0,1] precision 0.811697 [1,1,1,0.9,0.8,1,0.878788,0.5,0.5,1,0.708333,1,1,0.5,1,0.5,1,0,1,0.666667,1,1,1,0,0] precision 0.822821 [1,0,0.8,1,1,1,0.911765,1,0,1,0.888889,1,0.444444,0,0.5,0.4,1,0.333333,0.5,0.714286,1,0.5,0.75,0,1] precision 0.843784 [1,1,1,1,1,0,0.935484,1,1,1,0.825,1,0.666667,0,0.5,0.75,1,0.333333,0.8,0.785714,0.888889,1,0.75,0,1] precision 0.835575 [1,1,1,1,1,1,0.828571,0.666667,1,1,0.794872,1,0.666667,0,1,0.666667,1,1,1,0.666667,1,1,0.714286,0,1] precision 0.862758 [1,1,0.833333,1,1,1,0.878788,1,1,0.888889,0.846154,1,0.666667,0,0.666667,0.8,1,1,1,0.705882,0.916667,1,1,0,1] precision 0.858785 [1,1,1,1,1,0.666667,0.942857,0.666667,0.5,1,0.846154,1,0.5,0,0,0.666667,1,0.5,1,0.818182,1,1,1,0,1] precision 0.830524 [1,0.5,1,1,1,1,0.911765,1,0.5,0.818182,0.842105,1,0.6,0,0,0.571429,1,0,1,0.785714,1,1,1,0,0] precision 0.865926 [1,0.666667,1,0.909091,1,1,0.939394,1,0.5,1,0.894737,1,0.428571,0,1,0.5,1,1,1,0.785714,1,1,0.666667,0,1] precision 0.827477 [1,1,1,0.833333,0.8,1,0.882353,1,1,1,0.767442,1,0.5,0,1,0.25,1,1,1,0.818182,1,1,0.571429,0,1] precision 0.830574 [1,1,1,0.9,1,0,0.9375,1,0.5,0.818182,0.828571,0.333333,0.5,0,1,0.5,1,0.333333,1,0.923077,1,1,0.454545,0,1] precision 0.798726 [0.75,0.5,0.8,0.769231,1,1,0.933333,1,0,0.9,0.783784,1,0.4,0,0.6,0.5,1,0,1,0.846154,1,1,0.666667,0,1] precision 0.817986 [0.75,1,1,0.909091,1,1,0.828571,1,1,1,0.809524,1,0.5,0,1,0.571429,1,0,1,0.692308,1,1,0.6,0,1] precision 0.782636 [0.75,0.5,1,0.909091,1,1,0.833333,1,0,1,0.744186,1,0.428571,0,0,1,1,0,1,0.75,1,0.666667,0.666667,0,1] precision 0.785651 [1,0.666667,1,0.833333,1,1,0.84375,0.666667,0.5,0.9,0.733333,1,1,0,1,0.25,0.5,0.5,1,0.75,0.909091,1,0.5,0,1] precision 0.796383 [1,0.5,1,0.833333,0.75,0.5,0.848485,1,1,1,0.815789,1,0.6,0,0,0.75,1,0.333333,1,0.615385,1,1,0.666667,0,1] precision 0.820251 [1,1,1,0.888889,1,1,0.909091,0.666667,0.5,0.818182,0.804878,1,1,0,0.5,0.5,0.5,0.333333,1,0.642857,1,1,0.8,0,1] precision 0.805539 [1,1,1,0.909091,0.75,0.5,0.911765,0.666667,0,1,0.729167,1,0.8,0,0,0.5,1,0.666667,1,0.888889,1,1,0.75,0,0] precision 0.811208 [1,0,0.714286,1,0.8,0.666667,0.878788,0.666667,0,1,0.868421,1,0.8,0,1,0.5,1,0,1,0.75,0.909091,1,0.8,0,0] precision 0.812039 [1,1,1,1,1,0.666667,0.852941,1,0,1,0.790698,0.666667,1,0,1,0.5,0.5,0.25,1,0.727273,0.846154,1,0.8,0,1] precision 0.839169 [1,0.5,1,1,1,0,0.815789,1,1,0.818182,0.9,1,1,0,1,0.571429,1,0,1,0.769231,0.909091,1,1,0,0] precision 0.801733 [1,1,1,1,1,1,0.90625,1,0.25,0.9,0.767442,1,0.666667,0,0,0.5,1,0.25,1,0.785714,0.909091,1,0.571429,0,0] precision 0.80866 [0.5,0,1,1,0.666667,1,0.885714,0.666667,1,1,0.789474,1,0.333333,0,0.666667,0.5,0.666667,1,1,0.846154,1,1,0.714286,0,0] precision 0.819433 [1,0,1,0.833333,1,0.5,0.90625,1,1,1,0.909091,0.6,0.4,0,1,0.333333,1,0.5,1,0.769231,0.916667,1,0.5,0,1] precision 0.827218 [1,0.666667,1,1,1,1,0.885714,1,1,1,0.846154,0.75,1,0,0,0.5,1,0,1,0.705882,0.785714,1,0.75,0,1] precision 0.817263 [1,0.25,1,1,1,1,0.820513,1,0,1,0.885714,1,0.166667,0,0.75,0.4,1,0,1,0.875,1,1,0.555556,0,1] precision 0.813248 [1,0.25,0.714286,1,0.75,1,0.909091,1,1,1,0.852941,1,0.333333,0,0.6,0.571429,1,0,1,0.833333,0.818182,0.666667,0.8,0,0] precision 0.817732 [1,0.2,1,0.909091,0.8,1,0.777778,0.666667,1,1,0.864865,1,0.666667,0,0,1,1,0.5,0.75,0.909091,0.9,1,0.555556,0,1] precision 0.820834 [0.75,0.5,0.833333,1,1,1,0.885714,1,1,0.9,0.756757,1,0.666667,0,0.5,0.666667,1,1,1,0.692308,0.9,1,0.833333,0,1] precision 0.795013 [1,1,1,1,1,1,0.941176,1,1,1,0.682927,1,0.333333,0,0.666667,0.4,0.5,0.25,1,0.75,0.833333,1,0.6,0,1] precision 0.841819 [1,0.333333,1,0.833333,1,1,0.909091,0.333333,0.5,1,0.810811,1,0.428571,0,1,0.75,1,1,1,0.769231,1,1,1,0,1] precision 0.880549 [1,0.666667,1,1,1,1,0.911765,0.666667,1,1,0.916667,0.75,0.75,0,1,0.75,0.333333,1,1,0.714286,1,1,0.714286,0,1] precision 0.800583 [1,0.5,1,1,1,1,0.896552,1,0.5,1,0.809524,0.5,0,0,0.333333,0.333333,1,0.5,1,0.75,0.909091,1,0.8,0,1] precision 0.824282 [1,0.5,1,1,1,1,0.837838,0.666667,0.5,0.888889,0.857143,1,0.428571,0,0,0.4,1,0.333333,1,0.909091,1,1,0.833333,0,1] precision 0.878256 [1,1,1,1,1,0.5,0.96875,1,1,1,0.755556,1,0.666667,0,1,0.8,0.5,1,0.8,0.818182,1,1,1,0,1] precision 0.830715 [1,1,1,1,1,1,0.9375,0.666667,0,1,0.780488,0.6,1,0,1,0.428571,0.5,0,1,0.666667,1,1,0.857143,0,1] precision 0.784256 [1,0.4,1,0.833333,1,0.5,0.870968,1,1,0.9,0.725,1,0.75,0,0.666667,0.428571,1,0.25,0.666667,0.636364,1,1,0.8,0,1] precision 0.83491 [1,0.5,1,0.9,1,0.5,1,0.666667,0,1,0.717391,1,1,0,1,0.25,0.5,1,1,0.833333,1,1,0.8,0,1] precision 0.821146 [1,1,0.625,1,1,0.5,0.825,1,0,0.9,0.790698,0.75,0.75,0,1,0.75,1,0.5,1,0.9,1,0.666667,0.75,0,1] precision 0.825178 [1,0.666667,1,1,1,0,0.882353,0.5,0.5,0.888889,0.780488,1,0.428571,0,1,1,1,1,1,0.8,0.909091,1,0.8,0,0] precision 0.85387 [0.75,0.4,1,1,1,0.666667,0.909091,0.666667,0,1,0.842105,1,1,0,1,0.4,1,1,1,0.923077,0.909091,1,0.833333,0,1] precision 0.812312 [1,1,1,0.909091,1,0.5,0.864865,0.666667,0,1,0.75,1,1,0,1,0.75,1,0.5,1,0.666667,0.9,0.666667,0.833333,0,1] precision 0.842506 [1,0,1,0.9,1,0.5,0.909091,1,1,1,0.825,0.75,0.428571,0,1,0.5,1,0.5,1,0.916667,0.909091,1,0.833333,0,1] precision 0.805746 [1,0.666667,1,0.909091,1,0,0.861111,1,0,0.8,0.761905,1,0.4,0,0.75,1,0.666667,0.666667,1,0.785714,1,1,0.833333,0,0] precision 0.846668 [1,0.5,1,1,0.75,1,0.878788,1,0.5,0.888889,0.790698,1,1,0,0.5,1,1,1,1,0.714286,0.916667,0.5,1,0,1] precision 0.803697 [0.75,1,0.833333,0.875,1,0,0.909091,0.666667,1,0.9,0.828571,0.666667,0.8,0.25,0.5,0.666667,1,0.25,1,0.571429,0.909091,1,0.8,0,1] precision 0.80816 [1,1,1,0.833333,1,0,0.903226,0.666667,1,1,0.833333,1,1,0,0.5,0,1,0.333333,1,0.705882,0.909091,1,0.4,0,1] precision 0.855551 [0.75,0.666667,1,1,1,0.5,0.903226,1,0.5,1,0.809524,1,0.666667,0,1,0.666667,1,1,1,0.785714,1,1,0.8,0,1] precision 0.825969 [1,1,1,0.909091,0.666667,0.5,0.818182,1,1,1,0.871795,0.5,0.666667,0,0,0.666667,1,0.5,1,0.6875,1,1,1,0,1] precision 0.808295 [1,0.333333,0.833333,0.9,1,1,0.9375,0,0,1,0.73913,1,0.666667,0,1,1,1,0,1,0.75,0.916667,1,0.666667,0,1] precision 0.794008 [1,0.5,1,0.9,0.571429,1,0.909091,0.666667,0.5,1,0.756098,1,0.333333,0,1,0.6,0.5,0.5,1,0.625,1,0.666667,1,0,0] precision 0.837355 [1,1,0.8,0.888889,1,1,0.916667,1,1,0.9,0.894737,1,0.5,0,1,0.25,1,0,1,0.8125,1,0.666667,0.625,0,1] precision 0.810254 [1,1,1,0.833333,0.75,1,0.909091,1,0,0.818182,0.769231,1,1,0,1,0.5,0.5,0.5,1,0.65,0.916667,1,1,0,0] precision 0.782069 [1,1,1,0.909091,1,0.25,0.875,1,1,1,0.738095,1,0,0,0.5,0.25,0.666667,0.5,1,0.6875,0.846154,0.5,1,0,1] predictive_accuracy 0.837349 predictive_accuracy 0.837349 predictive_accuracy 0.855422 predictive_accuracy 0.819277 predictive_accuracy 0.831325 predictive_accuracy 0.795181 predictive_accuracy 0.855422 predictive_accuracy 0.831325 predictive_accuracy 0.819277 predictive_accuracy 0.86747 predictive_accuracy 0.861446 predictive_accuracy 0.813253 predictive_accuracy 0.807229 predictive_accuracy 0.789157 predictive_accuracy 0.831325 predictive_accuracy 0.819277 predictive_accuracy 0.759036 predictive_accuracy 0.837349 predictive_accuracy 0.813253 predictive_accuracy 0.849398 predictive_accuracy 0.831325 predictive_accuracy 0.825301 predictive_accuracy 0.837349 predictive_accuracy 0.783133 predictive_accuracy 0.777108 predictive_accuracy 0.861446 predictive_accuracy 0.855422 predictive_accuracy 0.801205 predictive_accuracy 0.837349 predictive_accuracy 0.873494 predictive_accuracy 0.855422 predictive_accuracy 0.813253 predictive_accuracy 0.831325 predictive_accuracy 0.819277 predictive_accuracy 0.795181 predictive_accuracy 0.783133 predictive_accuracy 0.801205 predictive_accuracy 0.819277 predictive_accuracy 0.795181 predictive_accuracy 0.783133 predictive_accuracy 0.795181 predictive_accuracy 0.813253 predictive_accuracy 0.813253 predictive_accuracy 0.861446 predictive_accuracy 0.825301 predictive_accuracy 0.837349 predictive_accuracy 0.873494 predictive_accuracy 0.819277 predictive_accuracy 0.825301 predictive_accuracy 0.855422 predictive_accuracy 0.843373 predictive_accuracy 0.86747 predictive_accuracy 0.861446 predictive_accuracy 0.855422 predictive_accuracy 0.873494 predictive_accuracy 0.831325 predictive_accuracy 0.819277 predictive_accuracy 0.801205 predictive_accuracy 0.837349 predictive_accuracy 0.813253 predictive_accuracy 0.795181 predictive_accuracy 0.807229 predictive_accuracy 0.819277 predictive_accuracy 0.807229 predictive_accuracy 0.831325 predictive_accuracy 0.831325 predictive_accuracy 0.86747 predictive_accuracy 0.813253 predictive_accuracy 0.831325 predictive_accuracy 0.819277 predictive_accuracy 0.854545 predictive_accuracy 0.812121 predictive_accuracy 0.806061 predictive_accuracy 0.812121 predictive_accuracy 0.830303 predictive_accuracy 0.8 predictive_accuracy 0.836364 predictive_accuracy 0.884848 predictive_accuracy 0.824242 predictive_accuracy 0.836364 predictive_accuracy 0.872727 predictive_accuracy 0.836364 predictive_accuracy 0.775758 predictive_accuracy 0.842424 predictive_accuracy 0.830303 predictive_accuracy 0.824242 predictive_accuracy 0.860606 predictive_accuracy 0.824242 predictive_accuracy 0.842424 predictive_accuracy 0.824242 predictive_accuracy 0.848485 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.836364 predictive_accuracy 0.830303 predictive_accuracy 0.793939 predictive_accuracy 0.848485 predictive_accuracy 0.830303 predictive_accuracy 0.781818 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.837349 [0.5,0.5,0.8,1,1,1,0.909091,1,0,1,0.864865,0.333333,0.5,0,0.5,0.8,1,1,1,0.692308,1,1,1,0,1] recall 0.837349 [0.666667,1,1,1,1,0,0.969697,0.5,0.5,1,0.921053,0.666667,0.4,0,1,0.4,1,0.5,1,0.846154,0.909091,0.5,0.666667,0,0] recall 0.855422 [1,1,1,1,1,1,0.878788,1,0.5,1,0.945946,1,0.25,0,0,0.2,1,0,1,0.857143,1,1,0.833333,0,1] recall 0.819277 [1,0.5,0.6,1,1,0.5,0.939394,1,0.5,1,0.837838,1,0.75,0,0.666667,0.6,1,0.5,0.666667,0.714286,1,0.5,0.5,0,1] recall 0.831325 [1,1,1,1,1,1,0.878788,0.5,0,1,0.894737,0.333333,0.2,0,0,0.8,1,1,1,0.692308,1,1,1,0,1] recall 0.795181 [0.5,0.5,0.8,1,1,1,0.818182,1,0.5,1,0.864865,0.666667,0.5,0,0.666667,0.4,1,1,1,0.642857,0.909091,1,0.666667,0,1] recall 0.855422 [0.666667,1,1,1,1,1,0.939394,1,0.5,1,0.918919,1,0.25,0,0.333333,0.8,1,0,0.75,0.785714,1,1,0.666667,0,1] recall 0.831325 [1,1,1,1,1,0.5,0.878788,0.5,0.5,1,0.868421,0.666667,0.8,0,0.333333,0.4,1,1,1,0.615385,1,1,1,0,1] recall 0.819277 [0.666667,0,1,1,1,1,0.909091,1,0.5,1,0.815789,0.666667,1,0.5,1,0.2,1,0,1,0.615385,0.909091,1,1,0,1] recall 0.86747 [0.75,1,1,1,1,1,0.878788,1,0,1,0.945946,1,0.75,0,1,0.6,1,1,1,0.642857,0.909091,1,0.666667,0,1] recall 0.861446 [1,0,1,1,1,1,0.909091,1,0,1,0.918919,1,0.25,0.5,0.5,0.6,1,0.5,1,0.846154,1,1,0.833333,0,0] recall 0.813253 [0.666667,0.5,1,1,0.75,1,0.878788,1,0,1,0.837838,0.75,1,0,0,0.6,1,0.5,0.666667,0.615385,1,1,0.833333,0,1] recall 0.807229 [0.666667,1,0.8,1,1,0.5,0.878788,1,0,1,0.783784,0.666667,0.5,0,0,0.6,1,1,0.666667,0.785714,1,1,0.833333,0,0] recall 0.789157 [1,1,1,1,1,1,0.757576,0.5,0,1,0.810811,0.666667,0,0,0.333333,0.8,1,0,0.666667,0.857143,1,1,0.833333,0,1] recall 0.831325 [1,0.5,1,1,1,1,0.818182,1,1,1,0.837838,1,0.8,0,0.333333,0.2,1,0.5,1,0.785714,1,1,1,0,0] recall 0.819277 [1,1,0.8,1,0.75,0.5,0.818182,1,0,1,0.891892,0.666667,0.8,0,0.333333,0.4,1,0.5,1,0.785714,1,1,0.666667,0,1] recall 0.759036 [1,0.5,1,1,1,0.5,0.787879,1,0,1,0.756757,0.666667,0.75,0,0.333333,0.6,1,0.5,1,0.769231,0.818182,0.5,0.333333,0,1] recall 0.837349 [1,0,0.75,1,1,0.5,0.848485,1,0,1,0.918919,0.666667,1,0,0.666667,0.6,1,1,1,0.846154,1,1,0.5,0,1] recall 0.813253 [1,1,1,0.8,1,1,0.848485,1,0,1,0.810811,0.666667,1,0,0,0.2,1,0.5,1,1,1,1,0.5,0,1] recall 0.849398 [1,0.5,1,1,1,1,0.909091,1,0,1,0.918919,1,0.5,0,1,0.6,1,1,1,0.714286,0.909091,1,0.5,0,0] recall 0.831325 [1,0,1,0.9,1,1,0.969697,1,0.5,1,0.918919,0.666667,0.75,0.5,0,0.4,1,0.5,0.666667,0.769231,0.818182,0.5,0.666667,0,0] recall 0.825301 [1,0.5,0.8,0.9,1,1,0.787879,1,0,1,0.864865,1,0.75,1,1,0.4,1,0.5,1,0.928571,0.909091,1,0.333333,0,1] recall 0.837349 [1,0.5,0.8,0.777778,1,1,0.909091,1,0.5,1,0.864865,1,0.75,0,0.666667,0.4,1,0.5,1,1,0.909091,1,0.5,0,1] recall 0.783133 [1,0.5,1,1,1,0,0.818182,1,0.5,1,0.72973,0.666667,0,0,0.666667,0.2,1,0.5,1,0.857143,1,1,0.833333,0,1] recall 0.777108 [0.666667,0,1,1,1,1,0.818182,1,0,1,0.918919,1,0,0,1,0,1,0.5,1,0.571429,1,0.5,0.666667,0,1] recall 0.861446 [0.666667,0.5,0.8,1,1,1,0.969697,1,0,1,0.945946,1,0.8,0,0.666667,0.8,1,0,0.666667,0.714286,1,1,0.666667,0,1] recall 0.855422 [1,0,1,0.9,1,1,0.848485,1,0.5,1,0.945946,0.75,0.75,0,1,0.2,1,1,1,0.846154,0.909091,1,0.833333,0,1] recall 0.801205 [1,0,1,1,1,1,0.787879,1,0.5,1,0.864865,1,0.5,0,0.333333,0.4,1,1,1,0.692308,1,1,0.5,0,1] recall 0.837349 [1,1,0.6,1,1,1,0.848485,1,0,1,0.918919,0.75,0.4,0,1,0.8,1,1,1,0.785714,0.818182,1,0.833333,0,1] recall 0.873494 [1,0.5,0.6,1,1,1,0.878788,1,1,1,0.891892,0.666667,0.8,0,0.666667,1,1,0.5,1,0.928571,1,0.5,0.833333,0,1] recall 0.855422 [1,1,0.6,1,1,0.5,0.939394,1,0.5,1,0.945946,0.666667,1,0,0.333333,0.6,1,0,1,0.714286,1,1,0.833333,0,1] recall 0.813253 [1,0.5,1,0.888889,1,0.5,0.909091,1,0.5,1,0.891892,0.666667,0.25,0,0,0.4,1,0.5,0.75,0.714286,1,1,0.833333,0,1] recall 0.831325 [1,1,0.8,1,1,1,0.909091,1,0,1,0.864865,0.666667,1,0,0,0.6,1,1,1,0.714286,1,1,0.5,0,1] recall 0.819277 [1,0.5,1,0.9,1,1,0.787879,1,0,1,0.945946,1,0.75,0,0.666667,0,1,0.5,1,0.714286,0.909091,1,0.833333,0,1] recall 0.795181 [1,1,0.5,1,1,0.5,0.787879,1,0.5,1,0.810811,0.666667,0.5,0,1,0.8,1,0.5,0.666667,0.857143,0.909091,1,0.5,0,1] recall 0.783133 [0.666667,0,1,0.8,1,0.5,0.848485,1,0.5,1,0.810811,0.666667,0.75,0,0,0.6,1,1,0.5,0.785714,1,0.5,0.833333,0,0] recall 0.801205 [1,0.5,0.6,0.9,1,1,0.909091,1,0,1,0.891892,1,0.8,0,0.333333,0.4,1,0,1,0.384615,1,1,0.833333,0,1] recall 0.819277 [0.666667,0.5,1,0.8,1,1,0.939394,1,0.5,1,0.918919,1,0.25,0,0.666667,0,1,0.5,1,0.714286,1,1,0.5,0,1] recall 0.795181 [1,1,1,1,1,1,0.939394,1,0,1,0.702703,0.666667,0.8,0,0.333333,0.4,1,1,1,0.714286,0.909091,0,0.666667,0,1] recall 0.783133 [0.666667,1,1,0.888889,1,1,0.848485,1,0.5,1,0.783784,0.333333,0.4,0.5,0.5,0.4,1,0.5,1,0.642857,1,1,0.666667,0,1] recall 0.795181 [1,0.5,0.75,1,1,0.5,0.969697,1,0,1,0.810811,1,0.5,0,0.666667,0.4,1,0.5,1,0.642857,1,1,0.333333,0,0] recall 0.813253 [0.666667,0.5,0.8,1,1,1,0.878788,1,0.5,1,0.783784,0.666667,0.75,0,1,0.2,1,1,1,0.785714,0.818182,1,1,0,0] recall 0.813253 [0.666667,0,1,0.9,0.75,1,0.909091,1,0,1,0.783784,1,0.5,0,1,0.8,1,0.5,1,0.769231,0.818182,0.5,1,0,1] recall 0.861446 [1,1,0.8,1,1,1,0.909091,1,0.5,1,0.864865,0.666667,0.5,0.5,0.333333,0.6,1,1,1,0.857143,0.909091,1,0.833333,0,1] recall 0.825301 [1,0,1,0.888889,1,0,0.909091,1,0,1,0.864865,1,0.5,0,1,0.6,1,0,0.75,0.785714,1,1,0.833333,0,1] recall 0.837349 [1,1,0.6,0.888889,1,1,0.818182,1,0.5,1,0.921053,1,0.5,0,1,1,1,0.5,1,0.714286,0.9,1,0.5,0,1] recall 0.873494 [0.666667,1,1,1,1,1,0.939394,1,0,1,0.921053,0.666667,0.8,0,0.333333,0.2,1,1,0.666667,0.857143,1,1,0.833333,0,1] recall 0.819277 [0.666667,0.5,0.8,0.9,1,1,0.878788,1,0.5,1,0.918919,0.666667,0.75,1,0.666667,0.2,1,0,1,0.714286,1,1,0.666667,0,0] recall 0.825301 [1,0,0.8,0.8,1,0.5,0.939394,1,0,1,0.864865,0.666667,1,0,0.666667,0.4,1,1,0.333333,0.714286,0.909091,1,1,0,1] recall 0.855422 [1,0.5,1,1,1,0,0.878788,1,1,1,0.891892,1,1,0,0.5,0.6,1,0.5,1,0.785714,0.8,1,1,0,1] recall 0.843373 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.837838,1,0.5,0,1,0.4,1,0.5,1,0.857143,0.9,1,0.833333,0,1] recall 0.86747 [1,1,1,0.9,1,1,0.878788,1,0.5,1,0.891892,1,0.5,0,0.666667,0.8,1,0.5,1,0.857143,1,1,0.666667,0,1] recall 0.861446 [0.666667,0.5,1,0.9,1,1,1,1,1,1,0.891892,1,1,0,0,0.4,1,1,1,0.692308,0.909091,1,0.833333,0,1] recall 0.855422 [0.75,0.5,1,1,0.666667,1,0.939394,1,1,1,0.864865,1,0.75,0,0,0.8,1,0,1,0.785714,1,1,1,0,0] recall 0.873494 [1,1,0.8,1,1,1,0.939394,1,0.5,1,0.918919,1,0.75,0,1,0.4,1,1,1,0.785714,0.9,1,0.666667,0,1] recall 0.831325 [1,0.5,1,1,1,1,0.909091,0.5,0.5,1,0.891892,1,0.25,0,0.5,0.2,1,0.5,1,0.692308,1,1,0.666667,0,1] recall 0.819277 [1,1,0.8,1,1,0,0.909091,1,0.5,1,0.783784,0.333333,0.5,0,0.333333,0.4,1,0.5,1,0.857143,1,1,0.833333,0,1] recall 0.801205 [1,1,0.8,1,0.75,1,0.848485,1,0,1,0.783784,1,0.5,0,1,0.2,1,0,1,0.785714,0.9,0.5,1,0,1] recall 0.837349 [1,1,1,1,1,1,0.878788,0.5,0.5,1,0.918919,1,0.5,0,0.333333,0.8,1,0,1,0.642857,1,1,0.5,0,1] recall 0.813253 [1,0.5,1,1,1,1,0.909091,1,0,1,0.842105,1,0.75,0,0,0.4,1,0,0.666667,0.692308,1,1,0.666667,0,1] recall 0.795181 [1,1,0.8,1,0.75,0.5,0.818182,1,0.5,1,0.891892,1,0.75,0,0.333333,0.2,1,0.5,1,0.642857,1,1,0.333333,0,1] recall 0.807229 [0.75,0.5,0.6,1,1,1,0.848485,1,0.5,1,0.837838,1,0.75,0,0,0.6,1,0.5,1,0.571429,1,1,1,0,1] recall 0.819277 [1,0.5,1,0.8,1,0.5,0.909091,1,0.5,1,0.868421,0.75,0.25,0,0.666667,0.6,1,1,1,0.692308,1,1,0.666667,0,1] recall 0.807229 [0.666667,0.5,0.6,1,1,1,0.939394,1,0,1,0.945946,0.5,1,0,0,0.4,1,1,1,0.571429,0.909091,1,0.5,0,0] recall 0.831325 [0.666667,0,1,0.8,1,1,0.878788,1,0,1,0.891892,0.666667,1,0,1,0.6,1,0,1,0.857143,1,1,0.666667,0,0] recall 0.831325 [1,1,1,1,1,1,0.878788,1,0,1,0.918919,0.666667,0.5,0,0.666667,0.4,1,0.5,1,0.615385,1,1,0.666667,0,1] recall 0.86747 [1,0.5,1,1,0.75,0,0.939394,1,0.5,1,0.972973,1,0.5,0,1,0.8,1,0,1,0.714286,1,1,0.833333,0,0] recall 0.813253 [0.666667,0.5,1,1,1,1,0.878788,1,0.5,1,0.891892,0.75,0.5,0,0,0.4,1,0.5,0.666667,0.785714,1,1,0.666667,0,0] recall 0.831325 [0.333333,0,1,1,1,1,0.939394,1,1,1,0.810811,1,0.25,0,0.666667,0.6,1,0.5,1,0.785714,1,1,0.833333,0,0] recall 0.819277 [1,0,0.75,1,1,0.5,0.878788,1,0.5,1,0.810811,1,0.5,0,1,0.4,1,0.5,1,0.769231,1,1,0.833333,0,1] recall 0.854545 [1,1,1,0.9,1,1,0.939394,1,0.5,1,0.868421,1,0.4,0,0,0.4,1,0,1,0.857143,1,1,1,0,1] recall 0.812121 [1,0.5,1,1,1,1,0.969697,1,0,1,0.837838,1,0.25,0,1,0.4,1,0,0.666667,0.5,0.9,1,0.833333,0,1] recall 0.806061 [1,0.5,1,0.8,1,1,0.909091,1,0.5,1,0.783784,1,0.6,0,1,0.8,1,0,0.666667,0.714286,0.9,1,0.666667,0,0] recall 0.812121 [0.666667,0.5,1,1,1,1,0.848485,1,0.5,1,0.864865,1,0.4,0,0,0.2,1,1,1,0.769231,0.9,1,0.833333,0,1] recall 0.830303 [1,1,1,0.9,1,1,0.939394,1,0.5,1,0.756757,1,0.5,0,0.5,0.8,1,0.5,1,0.642857,0.9,1,0.833333,0,1] recall 0.8 [0.666667,0.5,1,1,1,1,0.969697,1,0.5,1,0.756757,1,0.25,0,0.666667,0.4,1,0.5,1,0.692308,0.909091,1,0.5,0,1] recall 0.836364 [1,0.5,0.8,1,1,1,0.909091,0.5,0.5,1,0.810811,1,0.75,0,1,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1] recall 0.884848 [1,1,1,1,1,1,0.939394,1,1,1,0.891892,1,0.75,0,0.5,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1] recall 0.824242 [1,0.5,1,1,1,1,0.787879,1,0.5,1,0.918919,1,0,0,0.333333,0.4,1,0.5,1,0.857143,1,1,0.666667,0,1] recall 0.836364 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.810811,1,0.75,0,0,0.4,1,0.5,0.666667,0.769231,1,1,0.833333,0,1] recall 0.872727 [0.666667,0.5,1,0.9,1,1,0.939394,1,0.5,1,0.918919,1,0.8,0,1,0.8,1,1,1,0.642857,0.909091,1,0.833333,0,1] recall 0.836364 [1,1,1,1,1,0.5,0.909091,1,0,1,0.864865,1,0.5,0,0.333333,0.6,1,0,1,0.714286,0.9,1,1,0,1] recall 0.775758 [0.666667,1,0.8,1,1,1,0.818182,0.5,0.5,1,0.783784,1,0.6,0,0.666667,0.6,1,0.5,0.666667,0.5,1,1,0.666667,0,1] recall 0.842424 [0.666667,0.5,1,0.9,1,1,0.909091,1,0,1,0.891892,1,0.6,0,1,0.2,1,1,1,0.769231,1,1,0.666667,0,1] recall 0.830303 [0.666667,0.5,1,0.7,0.666667,1,1,1,0,1,0.918919,0.75,0.75,0,0.666667,0.6,1,0.5,0.666667,0.692308,1,1,0.5,0,1] recall 0.824242 [1,1,1,1,1,0,0.909091,1,0.5,1,0.864865,0.75,0.75,0,1,0.4,1,1,1,0.571429,0.909091,1,0.666667,0,0] recall 0.860606 [1,1,1,1,1,1,0.909091,1,0,1,0.864865,1,0.5,0,0.5,0.4,1,1,1,0.857143,1,1,0.833333,0,1] recall 0.824242 [1,1,1,1,1,1,0.969697,1,0,1,0.810811,1,0.25,0,1,0.6,1,0.5,0.666667,0.571429,0.818182,1,0.833333,0,1] recall 0.842424 [0.666667,0,0.8,1,1,0.5,0.909091,1,1,1,0.891892,1,0.75,0,0.333333,0.4,1,0.5,1,0.785714,1,1,0.833333,0,1] recall 0.824242 [0.666667,1,0.8,1,0.75,0,0.939394,1,0,1,0.864865,0.666667,0.5,0,1,0.2,1,1,1,0.785714,0.909091,1,0.833333,0,0] recall 0.848485 [0.666667,0.5,1,1,1,1,0.878788,0.5,0.5,1,0.918919,0.75,0.75,0,0.666667,0.8,1,0.5,0.75,0.714286,1,1,0.833333,0,1] recall 0.8 [1,0.5,1,0.7,1,0,0.909091,1,0.5,1,0.783784,0.666667,1,0.5,0.666667,0.4,1,0.5,1,0.615385,1,1,0.666667,0,1] recall 0.8 [1,1,0.75,1,1,0,0.848485,1,0.5,1,0.810811,0.333333,0.75,0,1,0,1,0.5,1,0.857143,1,1,0.333333,0,1] recall 0.866667 [1,1,1,1,1,0.5,0.848485,1,0.5,1,0.894737,1,0.5,0,1,0.8,1,0.5,1,0.846154,1,1,0.666667,0,1] recall 0.836364 [0.75,1,0.8,1,0.666667,1,0.818182,1,0.5,1,0.918919,1,1,0,0,0.4,1,0.5,1,0.846154,1,1,0.666667,0,1] recall 0.830303 [1,0.5,1,0.9,1,1,0.909091,0,0,1,0.918919,1,0.5,0,1,0.6,1,0,1,0.642857,1,1,0.666667,0,1] recall 0.793939 [0.333333,0.5,0.75,0.9,1,1,0.909091,1,0.5,1,0.837838,1,0.25,0,0.333333,0.6,1,1,0.75,0.714286,1,1,0.666667,0,0] recall 0.848485 [0.666667,0.5,0.8,0.888889,1,1,1,1,0.5,1,0.918919,0.666667,0.5,0,0.5,0.2,1,0,0.666667,0.928571,1,1,0.833333,0,1] recall 0.830303 [1,1,0.75,1,0.75,0.5,0.909091,1,0,1,0.810811,1,0.75,0,1,0.2,1,0.5,0.666667,1,1,1,0.666667,0,0] recall 0.781818 [0.666667,0.5,0.8,1,1,1,0.848485,1,0.5,1,0.837838,0.666667,0,0,0.333333,0.2,1,0.5,0.666667,0.785714,1,1,0.666667,0,1] relative_absolute_error 0.251567 relative_absolute_error 0.256456 relative_absolute_error 0.230965 relative_absolute_error 0.261521 relative_absolute_error 0.271272 relative_absolute_error 0.306625 relative_absolute_error 0.231908 relative_absolute_error 0.246596 relative_absolute_error 0.262613 relative_absolute_error 0.212801 relative_absolute_error 0.229701 relative_absolute_error 0.280612 relative_absolute_error 0.276667 relative_absolute_error 0.284253 relative_absolute_error 0.250534 relative_absolute_error 0.252789 relative_absolute_error 0.313467 relative_absolute_error 0.263065 relative_absolute_error 0.281623 relative_absolute_error 0.224613 relative_absolute_error 0.254508 relative_absolute_error 0.246257 relative_absolute_error 0.248485 relative_absolute_error 0.302245 relative_absolute_error 0.303496 relative_absolute_error 0.230007 relative_absolute_error 0.241496 relative_absolute_error 0.287556 relative_absolute_error 0.238585 relative_absolute_error 0.221219 relative_absolute_error 0.22647 relative_absolute_error 0.261983 relative_absolute_error 0.242996 relative_absolute_error 0.263064 relative_absolute_error 0.280812 relative_absolute_error 0.309642 relative_absolute_error 0.289103 relative_absolute_error 0.27526 relative_absolute_error 0.291341 relative_absolute_error 0.293019 relative_absolute_error 0.30165 relative_absolute_error 0.273684 relative_absolute_error 0.272136 relative_absolute_error 0.236067 relative_absolute_error 0.249893 relative_absolute_error 0.239537 relative_absolute_error 0.24039 relative_absolute_error 0.271997 relative_absolute_error 0.258621 relative_absolute_error 0.228503 relative_absolute_error 0.245846 relative_absolute_error 0.222734 relative_absolute_error 0.228231 relative_absolute_error 0.226103 relative_absolute_error 0.204169 relative_absolute_error 0.25678 relative_absolute_error 0.276757 relative_absolute_error 0.285584 relative_absolute_error 0.241862 relative_absolute_error 0.270948 relative_absolute_error 0.300467 relative_absolute_error 0.289917 relative_absolute_error 0.26622 relative_absolute_error 0.288409 relative_absolute_error 0.24391 relative_absolute_error 0.255708 relative_absolute_error 0.211725 relative_absolute_error 0.286371 relative_absolute_error 0.252052 relative_absolute_error 0.274052 relative_absolute_error 0.231377 relative_absolute_error 0.268927 relative_absolute_error 0.262527 relative_absolute_error 0.2767 relative_absolute_error 0.253338 relative_absolute_error 0.279813 relative_absolute_error 0.235539 relative_absolute_error 0.193872 relative_absolute_error 0.266807 relative_absolute_error 0.247615 relative_absolute_error 0.221201 relative_absolute_error 0.236375 relative_absolute_error 0.314949 relative_absolute_error 0.239558 relative_absolute_error 0.264965 relative_absolute_error 0.269609 relative_absolute_error 0.219232 relative_absolute_error 0.260161 relative_absolute_error 0.252586 relative_absolute_error 0.26419 relative_absolute_error 0.245809 relative_absolute_error 0.283278 relative_absolute_error 0.269568 relative_absolute_error 0.227692 relative_absolute_error 0.255094 relative_absolute_error 0.252501 relative_absolute_error 0.299348 relative_absolute_error 0.240333 relative_absolute_error 0.243663 relative_absolute_error 0.293233 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188112 root_mean_prior_squared_error 0.188311 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188094 root_mean_prior_squared_error 0.188322 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188135 root_mean_prior_squared_error 0.188271 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188375 root_mean_prior_squared_error 0.188288 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188315 root_mean_prior_squared_error 0.188327 root_mean_prior_squared_error 0.18841 root_mean_prior_squared_error 0.188431 root_mean_prior_squared_error 0.18837 root_mean_prior_squared_error 0.188277 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188278 root_mean_prior_squared_error 0.188341 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188372 root_mean_prior_squared_error 0.188426 root_mean_prior_squared_error 0.188272 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188384 root_mean_prior_squared_error 0.188332 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188358 root_mean_prior_squared_error 0.188364 root_mean_prior_squared_error 0.188351 root_mean_prior_squared_error 0.18826 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188295 root_mean_prior_squared_error 0.188401 root_mean_prior_squared_error 0.188151 root_mean_prior_squared_error 0.188009 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.188282 root_mean_prior_squared_error 0.188357 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188378 root_mean_prior_squared_error 0.188342 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188175 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188349 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.188356 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188296 root_mean_prior_squared_error 0.188221 root_mean_prior_squared_error 0.188263 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188143 root_mean_prior_squared_error 0.188267 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188359 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188191 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188168 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188202 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188237 root_mean_prior_squared_error 0.188166 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188201 root_mean_prior_squared_error 0.188281 root_mean_prior_squared_error 0.188232 root_mean_prior_squared_error 0.188264 root_mean_prior_squared_error 0.188202 root_mean_squared_error 0.107845 root_mean_squared_error 0.107501 root_mean_squared_error 0.10002 root_mean_squared_error 0.108674 root_mean_squared_error 0.108243 root_mean_squared_error 0.119848 root_mean_squared_error 0.101271 root_mean_squared_error 0.107605 root_mean_squared_error 0.112112 root_mean_squared_error 0.095042 root_mean_squared_error 0.094164 root_mean_squared_error 0.116612 root_mean_squared_error 0.117085 root_mean_squared_error 0.120258 root_mean_squared_error 0.109141 root_mean_squared_error 0.108979 root_mean_squared_error 0.128667 root_mean_squared_error 0.110133 root_mean_squared_error 0.116903 root_mean_squared_error 0.101078 root_mean_squared_error 0.110702 root_mean_squared_error 0.105584 root_mean_squared_error 0.108411 root_mean_squared_error 0.123777 root_mean_squared_error 0.121222 root_mean_squared_error 0.100205 root_mean_squared_error 0.102451 root_mean_squared_error 0.118901 root_mean_squared_error 0.106667 root_mean_squared_error 0.098337 root_mean_squared_error 0.098946 root_mean_squared_error 0.109737 root_mean_squared_error 0.105759 root_mean_squared_error 0.109374 root_mean_squared_error 0.115156 root_mean_squared_error 0.124643 root_mean_squared_error 0.119647 root_mean_squared_error 0.113182 root_mean_squared_error 0.117309 root_mean_squared_error 0.118552 root_mean_squared_error 0.123038 root_mean_squared_error 0.113517 root_mean_squared_error 0.114024 root_mean_squared_error 0.09943 root_mean_squared_error 0.108444 root_mean_squared_error 0.104856 root_mean_squared_error 0.098835 root_mean_squared_error 0.110227 root_mean_squared_error 0.110163 root_mean_squared_error 0.099218 root_mean_squared_error 0.104191 root_mean_squared_error 0.099455 root_mean_squared_error 0.096187 root_mean_squared_error 0.097699 root_mean_squared_error 0.090707 root_mean_squared_error 0.109552 root_mean_squared_error 0.114597 root_mean_squared_error 0.113286 root_mean_squared_error 0.106069 root_mean_squared_error 0.111924 root_mean_squared_error 0.119942 root_mean_squared_error 0.115008 root_mean_squared_error 0.109819 root_mean_squared_error 0.113272 root_mean_squared_error 0.105566 root_mean_squared_error 0.107316 root_mean_squared_error 0.096446 root_mean_squared_error 0.11597 root_mean_squared_error 0.107732 root_mean_squared_error 0.113049 root_mean_squared_error 0.098252 root_mean_squared_error 0.110436 root_mean_squared_error 0.111511 root_mean_squared_error 0.114309 root_mean_squared_error 0.108116 root_mean_squared_error 0.117252 root_mean_squared_error 0.102085 root_mean_squared_error 0.090764 root_mean_squared_error 0.109664 root_mean_squared_error 0.105742 root_mean_squared_error 0.09492 root_mean_squared_error 0.103317 root_mean_squared_error 0.125299 root_mean_squared_error 0.101145 root_mean_squared_error 0.108453 root_mean_squared_error 0.109346 root_mean_squared_error 0.094237 root_mean_squared_error 0.111124 root_mean_squared_error 0.103496 root_mean_squared_error 0.112209 root_mean_squared_error 0.104705 root_mean_squared_error 0.115804 root_mean_squared_error 0.116132 root_mean_squared_error 0.095982 root_mean_squared_error 0.108719 root_mean_squared_error 0.107771 root_mean_squared_error 0.118447 root_mean_squared_error 0.10379 root_mean_squared_error 0.107249 root_mean_squared_error 0.121906 root_relative_squared_error 0.57252 root_relative_squared_error 0.571474 root_relative_squared_error 0.531142 root_relative_squared_error 0.576825 root_relative_squared_error 0.575471 root_relative_squared_error 0.636397 root_relative_squared_error 0.537693 root_relative_squared_error 0.571844 root_relative_squared_error 0.595912 root_relative_squared_error 0.504817 root_relative_squared_error 0.499859 root_relative_squared_error 0.61904 root_relative_squared_error 0.62184 root_relative_squared_error 0.638733 root_relative_squared_error 0.579565 root_relative_squared_error 0.57867 root_relative_squared_error 0.682907 root_relative_squared_error 0.584473 root_relative_squared_error 0.620603 root_relative_squared_error 0.536855 root_relative_squared_error 0.58765 root_relative_squared_error 0.560786 root_relative_squared_error 0.57561 root_relative_squared_error 0.657421 root_relative_squared_error 0.643585 root_relative_squared_error 0.532043 root_relative_squared_error 0.543873 root_relative_squared_error 0.63102 root_relative_squared_error 0.566561 root_relative_squared_error 0.522125 root_relative_squared_error 0.525168 root_relative_squared_error 0.582518 root_relative_squared_error 0.561554 root_relative_squared_error 0.580921 root_relative_squared_error 0.61138 root_relative_squared_error 0.661735 root_relative_squared_error 0.635191 root_relative_squared_error 0.600911 root_relative_squared_error 0.623119 root_relative_squared_error 0.629255 root_relative_squared_error 0.653172 root_relative_squared_error 0.602756 root_relative_squared_error 0.605183 root_relative_squared_error 0.528054 root_relative_squared_error 0.575602 root_relative_squared_error 0.557293 root_relative_squared_error 0.525693 root_relative_squared_error 0.585278 root_relative_squared_error 0.585096 root_relative_squared_error 0.526753 root_relative_squared_error 0.553121 root_relative_squared_error 0.52809 root_relative_squared_error 0.510516 root_relative_squared_error 0.518872 root_relative_squared_error 0.481596 root_relative_squared_error 0.581553 root_relative_squared_error 0.608454 root_relative_squared_error 0.601521 root_relative_squared_error 0.562999 root_relative_squared_error 0.594787 root_relative_squared_error 0.636824 root_relative_squared_error 0.610611 root_relative_squared_error 0.583606 root_relative_squared_error 0.601583 root_relative_squared_error 0.560463 root_relative_squared_error 0.569641 root_relative_squared_error 0.512043 root_relative_squared_error 0.615771 root_relative_squared_error 0.571826 root_relative_squared_error 0.600069 root_relative_squared_error 0.522826 root_relative_squared_error 0.586703 root_relative_squared_error 0.592485 root_relative_squared_error 0.607072 root_relative_squared_error 0.574413 root_relative_squared_error 0.622811 root_relative_squared_error 0.542361 root_relative_squared_error 0.482416 root_relative_squared_error 0.582495 root_relative_squared_error 0.561542 root_relative_squared_error 0.504401 root_relative_squared_error 0.548885 root_relative_squared_error 0.665745 root_relative_squared_error 0.53698 root_relative_squared_error 0.576136 root_relative_squared_error 0.581037 root_relative_squared_error 0.500664 root_relative_squared_error 0.590559 root_relative_squared_error 0.549705 root_relative_squared_error 0.596213 root_relative_squared_error 0.55637 root_relative_squared_error 0.614978 root_relative_squared_error 0.616948 root_relative_squared_error 0.510091 root_relative_squared_error 0.577549 root_relative_squared_error 0.572636 root_relative_squared_error 0.629096 root_relative_squared_error 0.551396 root_relative_squared_error 0.569673 root_relative_squared_error 0.647738 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 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 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 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 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 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 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 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 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 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 12880 usercpu_time_millis 12180 usercpu_time_millis 12550 usercpu_time_millis 12570 usercpu_time_millis 12430 usercpu_time_millis 12720 usercpu_time_millis 11920 usercpu_time_millis 11790 usercpu_time_millis 12500 usercpu_time_millis 12400 usercpu_time_millis 12010 usercpu_time_millis 11960 usercpu_time_millis 12070 usercpu_time_millis 12700 usercpu_time_millis 12360 usercpu_time_millis 11640 usercpu_time_millis 11870 usercpu_time_millis 12200 usercpu_time_millis 12260 usercpu_time_millis 11960 usercpu_time_millis 11790 usercpu_time_millis 12220 usercpu_time_millis 12970 usercpu_time_millis 12720 usercpu_time_millis 12660 usercpu_time_millis 12030 usercpu_time_millis 12430 usercpu_time_millis 11890 usercpu_time_millis 12050 usercpu_time_millis 12310 usercpu_time_millis 12410 usercpu_time_millis 12270 usercpu_time_millis 12560 usercpu_time_millis 12310 usercpu_time_millis 12410 usercpu_time_millis 12400 usercpu_time_millis 12330 usercpu_time_millis 12790 usercpu_time_millis 12030 usercpu_time_millis 12460 usercpu_time_millis 11730 usercpu_time_millis 11960 usercpu_time_millis 12610 usercpu_time_millis 12630 usercpu_time_millis 12210 usercpu_time_millis 12340 usercpu_time_millis 12370 usercpu_time_millis 12390 usercpu_time_millis 11690 usercpu_time_millis 12230 usercpu_time_millis 12530 usercpu_time_millis 12170 usercpu_time_millis 12440 usercpu_time_millis 12990 usercpu_time_millis 12250 usercpu_time_millis 12210 usercpu_time_millis 12360 usercpu_time_millis 11730 usercpu_time_millis 12130 usercpu_time_millis 12230 usercpu_time_millis 12150 usercpu_time_millis 12450 usercpu_time_millis 12340 usercpu_time_millis 12680 usercpu_time_millis 11770 usercpu_time_millis 12730 usercpu_time_millis 12280 usercpu_time_millis 11770 usercpu_time_millis 12190 usercpu_time_millis 12360 usercpu_time_millis 11750 usercpu_time_millis 12080 usercpu_time_millis 11890 usercpu_time_millis 12920 usercpu_time_millis 12010 usercpu_time_millis 12110 usercpu_time_millis 12170 usercpu_time_millis 12120 usercpu_time_millis 12090 usercpu_time_millis 11980 usercpu_time_millis 12350 usercpu_time_millis 12380 usercpu_time_millis 12520 usercpu_time_millis 12500 usercpu_time_millis 12310 usercpu_time_millis 11910 usercpu_time_millis 12790 usercpu_time_millis 11850 usercpu_time_millis 11980 usercpu_time_millis 12170 usercpu_time_millis 12370 usercpu_time_millis 12770 usercpu_time_millis 11790 usercpu_time_millis 12650 usercpu_time_millis 12040 usercpu_time_millis 12380 usercpu_time_millis 11930 usercpu_time_millis 11970 usercpu_time_millis 12330 usercpu_time_millis 12070 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 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 60 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_training 12820 usercpu_time_millis_training 12130 usercpu_time_millis_training 12510 usercpu_time_millis_training 12530 usercpu_time_millis_training 12390 usercpu_time_millis_training 12680 usercpu_time_millis_training 11880 usercpu_time_millis_training 11750 usercpu_time_millis_training 12460 usercpu_time_millis_training 12360 usercpu_time_millis_training 11960 usercpu_time_millis_training 11920 usercpu_time_millis_training 12030 usercpu_time_millis_training 12650 usercpu_time_millis_training 12320 usercpu_time_millis_training 11600 usercpu_time_millis_training 11820 usercpu_time_millis_training 12160 usercpu_time_millis_training 12220 usercpu_time_millis_training 11900 usercpu_time_millis_training 11750 usercpu_time_millis_training 12170 usercpu_time_millis_training 12920 usercpu_time_millis_training 12670 usercpu_time_millis_training 12620 usercpu_time_millis_training 11990 usercpu_time_millis_training 12390 usercpu_time_millis_training 11840 usercpu_time_millis_training 12010 usercpu_time_millis_training 12260 usercpu_time_millis_training 12360 usercpu_time_millis_training 12230 usercpu_time_millis_training 12520 usercpu_time_millis_training 12270 usercpu_time_millis_training 12360 usercpu_time_millis_training 12360 usercpu_time_millis_training 12290 usercpu_time_millis_training 12740 usercpu_time_millis_training 11990 usercpu_time_millis_training 12420 usercpu_time_millis_training 11690 usercpu_time_millis_training 11920 usercpu_time_millis_training 12570 usercpu_time_millis_training 12580 usercpu_time_millis_training 12170 usercpu_time_millis_training 12290 usercpu_time_millis_training 12330 usercpu_time_millis_training 12350 usercpu_time_millis_training 11650 usercpu_time_millis_training 12190 usercpu_time_millis_training 12480 usercpu_time_millis_training 12120 usercpu_time_millis_training 12400 usercpu_time_millis_training 12950 usercpu_time_millis_training 12210 usercpu_time_millis_training 12170 usercpu_time_millis_training 12320 usercpu_time_millis_training 11690 usercpu_time_millis_training 12090 usercpu_time_millis_training 12190 usercpu_time_millis_training 12110 usercpu_time_millis_training 12400 usercpu_time_millis_training 12290 usercpu_time_millis_training 12630 usercpu_time_millis_training 11730 usercpu_time_millis_training 12680 usercpu_time_millis_training 12240 usercpu_time_millis_training 11730 usercpu_time_millis_training 12140 usercpu_time_millis_training 12310 usercpu_time_millis_training 11710 usercpu_time_millis_training 12040 usercpu_time_millis_training 11850 usercpu_time_millis_training 12870 usercpu_time_millis_training 11970 usercpu_time_millis_training 12060 usercpu_time_millis_training 12130 usercpu_time_millis_training 12080 usercpu_time_millis_training 12050 usercpu_time_millis_training 11940 usercpu_time_millis_training 12300 usercpu_time_millis_training 12340 usercpu_time_millis_training 12470 usercpu_time_millis_training 12460 usercpu_time_millis_training 12260 usercpu_time_millis_training 11870 usercpu_time_millis_training 12740 usercpu_time_millis_training 11810 usercpu_time_millis_training 11940 usercpu_time_millis_training 12120 usercpu_time_millis_training 12320 usercpu_time_millis_training 12730 usercpu_time_millis_training 11740 usercpu_time_millis_training 12600 usercpu_time_millis_training 12000 usercpu_time_millis_training 12340 usercpu_time_millis_training 11890 usercpu_time_millis_training 11930 usercpu_time_millis_training 12290 usercpu_time_millis_training 12020