185534 2 Joaquin Vanschoren 4238 Supervised Classification predictive_accuracy 1077 weka.REPTree(9) 1847 weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 613964 description https://api.openml.org/data/download/613964/weka_generated_run8336268542290715079.xml -1 613967 model_readable https://api.openml.org/data/download/613967/WekaModel_weka.classifiers.trees.REPTree2789885590158377769.model -1 613966 model_serialized https://api.openml.org/data/download/613966/WekaSerialized_weka.classifiers.trees.REPTree5658018604920907745.model -1 613965 predictions https://api.openml.org/data/download/613965/weka_generated_predictions6485464122610479763.arff area_under_roc_curve 0.870291 [0.588932,0.9935,0.729038,0.758816,0.502378,0.869403,0.968522,0.663875,0.653276,0.609498,0.815576,0.747928,0.784236,0.954283,0.922702,0.98744,0.648756,0.978179,0.787833,0.934792] average_cost 0 f_measure 0.614365 [0.020833,0.957377,0.08656,0.349776,0,0.598131,0.883343,0.146552,0.018605,0,0.418224,0.355109,0.451014,0.803127,0.697649,0.786486,0.041667,0.935933,0.427401,0.788856] kappa 0.59298 kb_relative_information_score 8740.162718 mean_absolute_error 0.046274 mean_prior_absolute_error 0.089924 number_of_instances 15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.603458 [0.047619,0.954248,0.174312,0.443182,0,0.530387,0.846319,0.199219,0.057143,0,0.446384,0.538071,0.439548,0.746367,0.694233,0.6984,0.214286,0.965517,0.414141,0.810241] predictive_accuracy 0.638077 prior_entropy 3.738083 recall 0.638077 [0.013333,0.960526,0.057576,0.288889,0,0.685714,0.923754,0.115909,0.011111,0,0.393407,0.265,0.463095,0.869231,0.701099,0.9,0.023077,0.908108,0.441538,0.768571] relative_absolute_error 0.51459 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.162042 root_relative_squared_error 0.764471 scimark_benchmark 1066.718432 [769.4047143262483, 699.439175301466, 403.51064209415694, 1059.5958060841647, 2401.6418218213535] total_cost 0 usercpu_time_millis 49480 usercpu_time_millis_testing 10 usercpu_time_millis_training 49470 area_under_roc_curve 0.884306 [0.270968,1,0.887336,0.787417,0.445161,0.843015,0.992165,0.464901,0.822581,0.429032,0.940411,0.716283,0.849777,0.965964,0.963719,0.996918,0.893548,1,0.731307,0.969499] area_under_roc_curve 0.86374 [0.37013,1,0.672113,0.483444,0.0,0.889358,0.960331,0.783717,0.642857,0.425806,0.807256,0.738487,0.714732,0.892778,0.978425,0.999658,0.941935,1,0.887843,0.734375] area_under_roc_curve 0.895905 [0.311688,1,0.821546,0.662252,0.0,0.954284,0.98662,0.684768,0.431818,0.896774,0.950491,0.573191,0.922545,0.923778,0.963356,0.989726,0.932258,1,0.752017,0.788671] area_under_roc_curve 0.880714 [0.582792,1,0.657072,0.83245,0.429032,0.837316,0.979629,0.71875,0.245161,0.358065,0.868103,0.703947,0.811257,0.992222,0.979795,0.997603,0.403226,1,0.841044,0.996732] area_under_roc_curve 0.847197 [0.298701,1,0.649237,0.68543,0.46129,0.789858,0.969503,0.754967,0.993548,0.393548,0.767808,0.799342,0.768303,0.996644,0.851852,1,0.880645,1,0.702797,1] area_under_roc_curve 0.893624 [0.324675,1,0.925926,0.935099,0.0,0.854963,0.987705,0.562252,0.403226,0.980645,0.88511,0.907895,0.777232,0.993289,0.843537,0.998973,0.435484,1,0.878698,1] area_under_roc_curve 0.867561 [0.305195,1,0.659539,0.930464,0.0,0.847059,0.958534,0.675164,0.977419,0.454839,0.709373,0.846217,0.783036,0.996644,0.983562,0.943151,0.377419,0.996732,0.803658,0.854441] area_under_roc_curve 0.861326 [0.331169,0.937078,0.655773,0.833113,0.0,0.850919,0.987825,0.487664,0.38961,0.883871,0.908541,0.814145,0.683453,1,0.892668,0.992466,0.8,0.825708,0.81603,0.990132] area_under_roc_curve 0.889137 [0.980645,0.986064,0.744009,0.99404,0.0,0.929963,0.944913,0.540296,0.904221,0.43871,0.894521,0.814967,0.780576,0.899808,0.862812,0.986986,0.919355,1,0.870898,0.616558] area_under_roc_curve 0.889586 [0.270968,0.985642,0.941176,0.758889,0.0,0.95121,0.971794,0.544408,0.957792,0.422581,0.774376,0.834704,0.778671,0.993333,0.93802,0.996575,0.561688,1,0.820602,0.976974] area_under_roc_curve 0.871744 [0.958065,1,0.877467,0.91457,0.0,0.871691,0.95549,0.590461,0.886364,0.964516,0.819728,0.511513,0.737054,1,0.996221,0.993151,0.983871,1,0.607047,0.996711] area_under_roc_curve 0.880834 [0.980645,0.999578,0.656863,0.607285,0.467742,0.956801,0.992165,0.808388,0.952922,0.351613,0.642123,0.981086,0.738045,0.969444,0.921391,0.998488,0.819355,1,0.753093,1] area_under_roc_curve 0.828257 [0.993548,0.933699,0.566449,0.542384,0.0,0.871879,0.959016,0.439145,0.904221,0.373377,0.776712,0.659539,0.739103,0.996667,0.830688,0.983562,0.329032,0.875,0.673749,1] area_under_roc_curve 0.841025 [0.574675,1,0.907407,0.800662,0.0,0.908088,0.912869,0.717928,0.977419,0.715909,0.540816,0.430921,0.707787,0.900288,0.816327,0.990753,0.319355,1,0.889995,0.954248] area_under_roc_curve 0.853864 [0.43871,0.997124,0.766885,0.650993,0.445161,0.857353,0.972035,0.789404,0.863636,0.4,0.911565,0.624178,0.712865,0.919463,0.902494,0.985616,0.409677,0.852796,0.7695,0.818083] area_under_roc_curve 0.90712 [0.659091,1,0.79085,0.737748,0.0,0.885846,0.99554,0.777961,0.891234,0.412903,0.818594,0.575658,0.861405,0.989933,0.984127,0.997603,0.912903,1,0.866864,1] area_under_roc_curve 0.877207 [0.425325,1,0.685855,0.697351,0.0,0.867096,0.989151,0.689404,0.412903,0.429032,0.833711,0.643914,0.831473,0.919942,0.870748,0.994863,0.958065,0.989107,0.882195,0.875] area_under_roc_curve 0.860546 [0.418831,1,0.729847,0.783444,0.0,0.802757,0.934185,0.504112,0.970968,0.845161,0.90514,0.600329,0.825011,0.822627,0.928949,0.993151,0.912903,0.995066,0.785637,0.980263] area_under_roc_curve 0.875241 [0.974194,0.996622,0.889803,0.531126,0.0,0.876654,0.974566,0.549007,0.689935,0.987097,0.821995,0.831414,0.835167,0.911667,0.978458,0.983562,0.325806,0.875,0.75121,0.990196] area_under_roc_curve 0.866725 [0.311688,1,0.515251,0.747778,0.0,0.847059,0.963235,0.582237,0.344156,0.377419,0.884354,0.838816,0.858019,0.982778,0.86319,0.999658,0.818182,1,0.796665,0.970588] area_under_roc_curve 0.88895 [0.980645,1,0.892157,0.945695,0.0,0.881066,0.984812,0.503289,0.587662,0.99513,0.898715,0.998355,0.696361,1,0.835601,0.986986,0.582792,1,0.860947,0.834704] area_under_roc_curve 0.895172 [0.990323,1,0.810855,0.849007,0.412903,0.87114,0.976133,0.931743,0.353896,0.445161,0.722222,0.971217,0.832628,0.993333,0.897959,0.992063,0.341935,0.996711,0.88596,0.976974] area_under_roc_curve 0.882063 [1,0.987753,0.711329,0.590066,0.0,0.888971,0.95974,0.591283,0.899351,0.870968,0.841648,0.620888,0.808506,0.911111,0.897581,0.99863,0.899351,1,0.89887,0.837993] area_under_roc_curve 0.856472 [0.393548,1,0.712418,0.839073,0.0,0.861581,0.918033,0.555099,0.678571,0.412903,0.922147,0.788651,0.75328,0.902685,0.977702,0.986644,0.864516,1,0.680473,0.873355] area_under_roc_curve 0.8735 [0.329032,1,0.737473,0.854305,0.432258,0.863603,0.956244,0.783444,0.975649,0.390323,0.757748,0.662007,0.803005,0.985618,0.916478,0.987671,0.890323,1,0.764927,1] area_under_roc_curve 0.872186 [0.553571,1,0.625,0.737778,0.0,0.891176,0.972035,0.615132,0.87013,0.36129,0.957294,0.717105,0.782903,0.90652,0.877173,0.991308,0.341935,1,0.831899,0.826797] area_under_roc_curve 0.852181 [0.652597,0.98353,0.74183,0.75298,0.0,0.806761,0.966731,0.515232,0.87013,0.377419,0.898715,0.666941,0.786712,0.92186,0.926304,0.934618,0.925806,0.866776,0.747176,0.861842] area_under_roc_curve 0.863072 [0.266234,1,0.678649,0.642222,0.0,0.906066,0.936234,0.809211,0.212903,0.848387,0.83031,0.555099,0.816758,0.985618,0.823129,0.984247,0.396774,0.866776,0.874933,1] area_under_roc_curve 0.88483 [0.280645,1,0.598684,0.901987,0.0,0.832169,0.989754,0.789404,0.923701,0.851613,0.806878,0.833882,0.642615,0.989444,0.990552,0.994863,0.829032,1,0.905056,0.996732] area_under_roc_curve 0.874844 [0.608766,1,0.924342,0.918543,0.0,0.850551,0.970468,0.541118,0.25974,1,0.893802,0.689967,0.670969,0.993333,0.990552,0.989041,0.823052,0.830065,0.863367,0.980392] area_under_roc_curve 0.827805 [0.970968,0.9375,0.630719,0.735,0.0,0.793015,0.931895,0.742599,0.894481,0.425806,0.783069,0.502467,0.793271,0.993333,0.850685,0.995087,0.415584,1,0.643895,0.866776] area_under_roc_curve 0.863219 [0.912903,0.999521,0.634046,0.92,0.477419,0.888235,0.978905,0.574836,0.663961,0.390323,0.803099,0.784539,0.696361,0.993333,0.899849,0.978836,0.780645,0.997533,0.758472,0.862664] area_under_roc_curve 0.872633 [0.264516,1,0.718954,0.776821,0.0,0.832537,0.968177,0.4375,0.935065,0.390323,0.88511,0.838816,0.826492,0.996667,0.992819,0.982877,0.545455,1,0.739107,0.85773] area_under_roc_curve 0.883716 [0.290323,1,0.552288,0.543046,0.0,0.964338,0.991803,0.726974,0.637987,0.822581,0.931973,0.659539,0.706094,0.917546,0.98904,0.994178,0.390323,0.873355,0.846423,1] area_under_roc_curve 0.88843 [0.354839,0.995777,0.771382,0.895364,0.0,0.888419,0.995178,0.900493,0.444805,0.43871,0.826909,0.529605,0.788828,0.993333,0.807877,0.997945,0.887097,1,0.908015,0.832244] area_under_roc_curve 0.889309 [0.662338,1,0.745066,0.796667,0.0,0.937572,0.972019,0.722862,0.431818,0.812903,0.803099,0.747533,0.844054,0.989933,0.915344,0.986395,0.3,1,0.79532,0.997821] area_under_roc_curve 0.880252 [0.577922,1,0.8878,0.698013,0.0,0.831348,0.967213,0.789404,0.327922,0.403226,0.883976,0.994243,0.857385,0.81256,0.976568,0.979214,0.870968,1,0.742604,1] area_under_roc_curve 0.880748 [0.905844,0.995206,0.771382,0.752222,0.0,0.826103,0.970709,0.968874,0.636364,0.396774,0.821995,0.733553,0.822048,0.993333,0.914588,0.991686,0.880645,1,0.745024,0.996732] area_under_roc_curve 0.884166 [0.607143,1,0.833882,0.725828,0.0,0.804596,0.982642,0.880795,0.891234,0.803226,0.808012,0.828947,0.789886,0.993333,0.929705,0.981507,0.422581,0.998911,0.821678,1] area_under_roc_curve 0.857498 [0.887987,1,0.799342,0.675497,0.0,0.849449,0.944672,0.731908,0.633117,0.990323,0.665911,0.742599,0.680491,0.996667,0.958904,0.993151,0.883871,0.996732,0.786175,1] area_under_roc_curve 0.890449 [0.293548,1,0.899782,0.758889,0.0,0.913787,0.958896,0.694901,0.655844,0.354839,0.923658,0.700658,0.861828,0.908333,0.855253,0.992441,0.650974,1,0.837816,1] area_under_roc_curve 0.850865 [0.9,0.996644,0.761513,0.648333,0.480645,0.887316,0.941297,0.470199,0.386364,0.980645,0.690098,0.757401,0.857596,0.998333,0.82842,0.996918,1,0.820261,0.760893,1] area_under_roc_curve 0.906552 [0.825806,1,1,0.857222,0.0,0.931434,0.982281,0.666941,0.650974,1,0.917234,0.747533,0.720271,0.975556,0.907785,0.995205,0.970779,0.986842,0.894298,0.869243] area_under_roc_curve 0.87172 [0.741935,0.987753,0.980392,0.861111,0.0,0.873031,0.965043,0.729441,0.308442,0.851613,0.567649,0.625822,0.796445,0.915628,0.798186,0.982877,0.896774,1,0.923884,0.992599] area_under_roc_curve 0.839322 [0.958065,1,0.375,0.783889,0.0,0.809191,0.953954,0.511513,0.659091,0.425806,0.792895,0.92023,0.755819,0.993333,0.919501,0.993836,0.425806,1,0.701183,0.66122] area_under_roc_curve 0.865668 [0.983871,1,0.885691,0.572222,0.470968,0.829812,0.982763,0.663651,0.63961,0.964516,0.861644,0.955592,0.838129,0.993333,0.848828,0.995465,0.396104,1,0.653846,0.998911] area_under_roc_curve 0.852261 [0.673701,1,0.446623,0.411921,0.0,0.832309,0.952146,0.556954,0.623377,0.348387,0.816704,0.740132,0.873043,0.957814,0.993953,0.920257,0.751613,0.943257,0.772996,0.995066] area_under_roc_curve 0.854715 [0.589286,1,0.703125,0.931667,0.0,0.784007,0.981557,0.666225,0.698052,0.387097,0.761149,0.814145,0.713923,0.817222,0.982615,1,0.787097,1,0.75659,0.991285] area_under_roc_curve 0.907417 [0.568182,0.989443,0.684096,0.823841,0.0,0.930331,0.957932,0.662252,0.335484,0.696429,0.874906,0.997533,0.889759,0.993333,0.996599,1,0.383871,1,0.835664,0.987664] area_under_roc_curve 0.884904 [0.657468,1,0.736842,0.9,0.0,0.902574,0.991562,0.731086,0.774194,0.667208,0.760393,0.805921,0.711595,0.976111,0.878685,0.965753,0.864516,0.992599,0.851802,0.996732] area_under_roc_curve 0.894591 [0.996753,0.987753,0.848584,0.917222,0.0,0.885846,0.963838,0.823191,0.534091,0.912903,0.89418,0.352796,0.76788,1,0.883976,0.993575,0.977419,1,0.886767,0.983553] area_under_roc_curve 0.870693 [0.348387,1,0.869281,0.887222,0.974194,0.821324,0.976013,0.738411,0.702922,0.987097,0.890023,0.827303,0.655946,0.994727,0.891534,0.991438,0.43871,1,0.814685,0.825708] area_under_roc_curve 0.864253 [0.3,1,0.918301,0.862222,0.445161,0.844669,0.975892,0.671053,0.612013,0.393548,0.782691,0.814967,0.699323,0.901667,0.9161,1,0.977419,1,0.767886,0.991776] area_under_roc_curve 0.885343 [0.306452,1,0.681917,0.737778,0.0,0.881291,0.984932,0.629112,0.712662,0.964516,0.866096,0.717105,0.895683,0.991371,0.888133,0.995205,0.945161,1,0.711404,0.840461] area_under_roc_curve 0.901053 [0.383871,0.986486,0.583059,0.943889,0.0,0.865809,0.974687,0.710526,0.344156,0.383871,0.891156,0.715461,0.847651,0.995556,0.989418,0.996575,0.996774,1,0.906939,1] area_under_roc_curve 0.863227 [0.912903,1,0.53268,0.646111,0.441935,0.807146,0.972517,0.462171,0.685065,0.396774,0.683296,0.753289,0.882141,0.885556,0.921391,0.992808,0.654221,1,0.909629,0.996732] area_under_roc_curve 0.867068 [0.26129,1,0.892157,0.927222,0.43871,0.886477,0.989965,0.465461,0.871753,0.370968,0.803855,0.552632,0.749048,0.996667,0.98715,0.994521,0.667208,1,0.656536,0.998911] area_under_roc_curve 0.876543 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[0.337662,1,0.90305,0.592778,0.474194,0.927757,0.95323,0.578947,0.877419,0.441935,0.774754,0.636513,0.742488,0.99233,0.97997,1,0.390323,1,0.905863,1] area_under_roc_curve 0.887836 [0.306452,0.928571,0.781046,0.847222,0.458065,0.792739,0.97758,0.861589,0.650974,0.777419,0.884354,0.898026,0.831147,0.907778,0.988284,0.989041,0.906452,1,0.837009,0.856086] area_under_roc_curve 0.883314 [0.907468,0.988176,0.776688,0.595,0.0,0.860294,0.933703,0.685033,0.63961,0.62987,0.82124,0.931743,0.872768,0.906667,0.969388,0.996575,0.848387,1,0.87574,0.875] area_under_roc_curve 0.849255 [0.335484,0.996622,0.539216,0.774172,0.470968,0.909527,0.953954,0.926809,0.618506,0.409677,0.939531,0.452303,0.709903,0.898889,0.931507,0.977055,0.422078,1,0.7305,0.664488] area_under_roc_curve 0.867241 [0.993548,0.996644,0.577342,0.438889,0.493548,0.913971,0.970227,0.907072,0.344156,0.887097,0.73545,0.631579,0.852095,0.986667,0.888889,0.99863,0.662338,1,0.781334,0.990196] area_under_roc_curve 0.840589 [0.764516,1,0.785403,0.489404,0.451613,0.845755,0.984209,0.836424,0.373377,0.435484,0.850342,0.782895,0.83157,0.984444,0.782691,0.943151,0.702922,0.735197,0.599247,0.974946] area_under_roc_curve 0.879747 [0.623377,0.996644,0.637255,0.91,0.451613,0.89685,0.971553,0.777961,0.647727,0.403226,0.684807,0.634868,0.808929,0.996644,0.972033,0.986395,0.946429,1,0.878429,0.6875] area_under_roc_curve 0.86812 [0.974194,0.996644,0.579521,0.971523,0.451613,0.894669,0.972517,0.554305,0.305195,0.903226,0.833711,0.792763,0.725138,0.841802,0.974301,0.982993,0.390323,1,0.804465,0.956414] area_under_roc_curve 0.864485 [0.431818,0.996644,0.544662,0.634437,0.448387,0.936612,0.971432,0.898013,0.933442,0.412903,0.857143,0.759046,0.714981,0.895494,0.938776,0.994521,0.280645,1,0.717859,0.996732] area_under_roc_curve 0.898996 [0.912338,1,0.720044,0.856954,0.0,0.879754,0.969021,0.799338,0.890323,0.993548,0.911943,0.625822,0.840669,0.993289,0.959562,0.997945,0.655844,1,0.7383,0.98366] area_under_roc_curve 0.880022 [0.282468,1,0.882353,0.81,0.480645,0.834743,0.97999,0.701325,0.893548,0.835484,0.817082,0.950658,0.792213,0.996644,0.923658,0.999244,0.403226,1,0.785637,0.985839] area_under_roc_curve 0.831198 [0.561688,1,0.575163,0.633333,0.448387,0.948329,0.961066,0.55298,0.327922,0.435484,0.773243,0.391447,0.584003,0.993333,0.958428,0.988284,0.694805,1,0.822754,1] area_under_roc_curve 0.858893 [0.883117,1,0.466231,0.881667,0.0,0.841721,0.961275,0.671053,0.918831,0.364516,0.895314,0.529605,0.639509,0.972222,0.956538,0.984247,0.376623,0.995643,0.858795,0.852796] area_under_roc_curve 0.865731 [1,0.999155,0.6939,0.854305,0.448387,0.875735,0.96661,0.499338,0.644481,0.419355,0.845805,0.801809,0.786712,0.996667,0.916478,0.937671,0.903226,1,0.7383,0.84375] area_under_roc_curve 0.840701 [0.983871,0.987536,0.813725,0.731111,0.477419,0.851654,0.952989,0.700658,0.530844,0.874194,0.698035,0.712171,0.665468,0.998333,0.91421,0.996575,0.412338,1,0.717321,0.998911] area_under_roc_curve 0.854241 [0.848387,1,0.701525,0.690066,0.46129,0.861122,0.972373,0.600329,0.938312,0.393548,0.699169,0.96875,0.81183,0.997778,0.922525,0.992466,0.850649,1,0.541689,0.804276] area_under_roc_curve 0.844964 [0.292208,1,0.698257,0.726111,0.890323,0.862466,0.962512,0.859375,0.626623,0.4,0.904384,0.727796,0.539732,0.996644,0.829554,0.993197,0.599026,1,0.801506,1] area_under_roc_curve 0.860499 [0.980645,1,0.750545,0.66755,0.477419,0.803304,0.975089,0.636424,0.905844,0.432258,0.880952,0.583059,0.852518,0.996644,0.919123,0.91232,0.374194,0.986842,0.683701,0.987664] area_under_roc_curve 0.847357 [0.612013,1,0.814815,0.657616,0.941935,0.819439,0.959981,0.717219,0.912338,0.787097,0.778156,0.643092,0.728946,0.886865,0.789116,0.988356,0.280645,1,0.80312,1] area_under_roc_curve 0.880797 [0.392857,0.9375,0.771242,0.825166,0.0,0.913177,0.98204,0.818257,0.920455,0.422581,0.861678,0.761513,0.803851,0.993289,0.79743,1,0.353896,1,0.777569,0.996732] area_under_roc_curve 0.831892 [0.63474,1,0.458059,0.708609,0.480645,0.889358,0.958052,0.539735,0.428571,0.435484,0.747166,0.978618,0.728523,0.890221,0.986017,0.922147,1,1,0.638246,0.820261] area_under_roc_curve 0.847196 [0.668831,1,0.884868,0.719205,0.445161,0.861949,0.965043,0.654967,0.63474,0.383871,0.645503,0.907072,0.696205,0.883889,0.983749,0.973923,0.852273,0.994243,0.70737,0.962963] area_under_roc_curve 0.850865 [0.847403,1,0.824619,0.857616,0.406452,0.785824,0.957932,0.528783,0.816558,0.36129,0.877173,0.770559,0.735717,0.970757,0.929327,0.960695,0.503247,0.833333,0.729155,0.996711] area_under_roc_curve 0.882723 [0.964516,1,0.533769,0.980795,0.464516,0.900184,0.972999,0.743709,0.331169,0.990323,0.863568,0.703947,0.790732,0.893889,0.920257,0.99726,0.903226,1,0.754707,0.987664] area_under_roc_curve 0.868942 [0.248387,0.985139,0.728758,0.715556,0.416129,0.870037,0.958414,0.792763,0.623377,0.706169,0.634921,0.935855,0.844477,0.902778,0.826909,0.992808,0.874194,1,0.881657,0.920479] area_under_roc_curve 0.878518 [0.290323,0.987331,0.980392,0.610596,0.419355,0.912409,0.960463,0.426809,0.592532,0.803226,0.872638,0.733553,0.778348,0.996644,0.919863,0.989041,0.935065,1,0.820334,0.979441] area_under_roc_curve 0.88376 [0.906452,1,0.898693,0.811111,0.909677,0.851133,0.973481,0.805099,0.943182,0.883871,0.761527,0.747533,0.884046,0.979386,0.917234,0.994331,0.288961,1,0.670522,1] area_under_roc_curve 0.860707 [0.919355,1,0.565359,0.677778,0.474194,0.905494,0.958414,0.59404,0.608766,0.796774,0.894863,0.581414,0.720982,0.988495,0.981104,1,0.364516,0.875,0.765734,0.990132] area_under_roc_curve 0.882576 [0.272727,0.999521,0.846217,0.655629,0.948387,0.876873,0.979388,0.437748,0.283871,0.403226,0.81028,0.944901,0.935887,1,0.882464,0.987329,0.916129,1,0.767617,1] area_under_roc_curve 0.841434 [0.305195,1,0.46732,0.823179,0.0,0.85267,0.944672,0.541118,0.409091,0.594156,0.681028,0.9375,0.852009,0.842761,0.897959,0.936644,0.348387,0.861842,0.820871,0.82977] area_under_roc_curve 0.852619 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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 0.59185 [0,1,0,0.545455,0,0.553191,0.927536,0,0,0,0.4,0,0.444444,0.714286,0.666667,0.740741,0,1,0.344828,0.666667] f_measure 0.649338 [0,1,0,0,0,0.75,0.88,0.285714,0,0,0.533333,0.333333,0.387097,0.833333,0.727273,0.952381,0,1,0.588235,0.333333] f_measure 0.626127 [0,1,0.4,0,0,0.666667,0.868421,0,0,0,0.4,0.4,0.585366,0.923077,0.736842,0.869565,0,1,0.26087,0.8] f_measure 0.652862 [0,1,0,0.285714,0,0.55,0.929577,0,0,0,0.736842,0.333333,0.55,0.833333,0.777778,0.740741,0,1,0.518519,0.857143] f_measure 0.603633 [0,1,0,0,0,0.521739,0.861111,0.333333,0.5,0,0.285714,0.5,0.409091,0.933333,0.75,1,0,1,0.285714,1] f_measure 0.661349 [0,0.941176,0,0.571429,0,0.577778,0.944444,0,0,0,0.315789,0.666667,0.451613,0.875,0.5,0.909091,0,1,0.666667,1] f_measure 0.571653 [0,1,0,0.285714,0,0.564103,0.849315,0,0,0,0.266667,0.285714,0.25,0.736842,0.769231,0.782609,0,0.8,0.514286,0.571429] f_measure 0.638431 [0,0.875,0,0.5,0,0.612245,0.944444,0,0,0,0.461538,0.75,0.411765,1,0.736842,0.769231,0,0.8,0.380952,0.727273] f_measure 0.660855 [0,0.933333,0,0.888889,0,0.684211,0.864865,0,0,0,0.571429,0.4,0.606061,0.714286,0.714286,0.888889,0,1,0.473684,0] f_measure 0.66302 [0,0.933333,0,0.6,0,0.666667,0.868421,0,0,0,0.5,0.4,0.6,0.857143,0.7,0.8,0,1,0.538462,0.857143] f_measure 0.549247 [0,1,0,0.285714,0,0.465116,0.861111,0,0,0,0.5,0,0.222222,1,0.75,0.645161,0,1,0.222222,0.666667] f_measure 0.683367 [0,0.941176,0,0,0,0.731707,0.956522,0.4,0,0,0.4,0.857143,0.555556,0.714286,0.727273,0.875,0,1,0.518519,1] f_measure 0.573752 [0,0.875,0,0.25,0,0.521739,0.878788,0,0,0,0.588235,0.444444,0.242424,0.923077,0.625,0.689655,0,0.857143,0.322581,1] f_measure 0.585403 [0,1,0,0.363636,0,0.652174,0.849315,0,0,0,0.4,0,0.411765,0.714286,0.526316,0.761905,0,1,0.413793,0.8] f_measure 0.541814 [0,0.8,0,0.25,0,0.545455,0.909091,0,0,0,0.266667,0,0.292683,0.769231,0.714286,0.695652,0,0.666667,0.357143,0.8] f_measure 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[0,1,0,0.2,0,0.651163,0.864865,0,0,0,0.363636,0.4,0.358974,0.571429,0.666667,0.769231,0,1,0.344828,0.857143] f_measure 0.65557 [0,0.933333,0.333333,0.4,0,0.714286,0.916667,0.5,0,0,0.285714,0.5,0.555556,0.875,0.5,1,0,1,0.296296,0.857143] f_measure 0.606691 [0,1,0,0.5,0,0.583333,0.901408,0,0,0,0.421053,0.666667,0.514286,0.588235,0.736842,0.75,1,1,0.285714,0.666667] f_measure 0.550464 [0,1,0,0.333333,0,0.523077,0.865672,0,0,0,0.285714,0.333333,0.5,0.615385,0.75,0.75,0,0.857143,0.214286,0.666667] f_measure 0.563626 [0,1,0.5,0.5,0,0.5,0.898551,0,0,0,0.444444,0.285714,0.375,0.666667,0.461538,0.514286,0,0.8,0.380952,0.888889] f_measure 0.663988 [0,1,0,0.888889,0,0.590909,0.898551,0.285714,0,0,0.48,0.666667,0.5,0.769231,0.777778,0.857143,0,1,0.461538,0.666667] f_measure 0.612926 [0,0.923077,0,0.5,0,0.651163,0.891892,0.333333,0,0,0.266667,0.333333,0.466667,0.8,0.428571,0.782609,0,1,0.585366,0.571429] f_measure 0.622596 [0,0.933333,0,0.333333,0,0.666667,0.837838,0,0,0,0.6,0.285714,0.4,0.933333,0.666667,0.869565,0,1,0.461538,0.75] f_measure 0.638741 [0,1,0,0.444444,0,0.6,0.914286,0.571429,0,0,0.307692,0,0.666667,0.705882,0.588235,0.75,0,1,0.470588,1] f_measure 0.636293 [0,1,0,0.4,0,0.585366,0.876712,0.285714,0,0,0.705882,0.4,0.363636,0.823529,0.64,0.818182,0,0.857143,0.6,0.727273] f_measure 0.642076 [0,0.923077,0,0,0,0.619048,0.891892,0,0,0,0.571429,0.857143,0.666667,1,0.571429,0.736842,0,1,0.4,1] f_measure 0.56452 [0,1,0,0.25,0,0.619048,0.84058,0,0,0,0,0,0.487805,0.625,0.736842,0.761905,0,0.666667,0.516129,0.666667] f_measure 0.555867 [0,1,0.4,0,0,0.52381,0.852941,0,0,0,0.26087,0,0.470588,0.769231,0.571429,0.736842,0,0.8,0.421053,0.8] f_measure 0.598191 [0,1,0,0,0,0.697674,0.918919,0.5,0,0,0,0.285714,0.4375,1,0.8,0.608696,0,0.8,0.514286,0.571429] f_measure 0.593219 [0,0.833333,0,0.571429,0,0.615385,0.88,0,0,0,0.333333,0.285714,0.368421,0.714286,0.7,0.888889,0,0.888889,0.444444,0.8] f_measure 0.580808 [0,1,0,0.222222,0,0.512821,0.869565,0,0,0,0.333333,0.333333,0.465116,0.666667,0.75,0.8,0,1,0.37037,0.666667] f_measure 0.661613 [0,0.933333,0,0.6,0,0.619048,0.911765,0,0,0,0.777778,0.285714,0.470588,0.857143,0.823529,0.869565,0,1,0.432432,0.857143] f_measure 0.590354 [0,0.769231,0,0.222222,0,0.594595,0.861111,0,0,0,0.5,0,0.648649,0.75,0.947368,0.606061,0,0.5,0.26087,1] f_measure 0.611899 [0,0.933333,0,0.25,0,0.6,0.914286,0.333333,0,0,0.533333,0.4,0.533333,0.705882,0.571429,0.761905,0,0.888889,0.285714,0.75] f_measure 0.651764 [0,1,0.5,0.222222,0,0.685714,0.891892,0.285714,0,0,0.285714,0,0.571429,0.8,0.666667,0.888889,0,1,0.571429,0.857143] kappa 0.574637 kappa 0.638521 kappa 0.622118 kappa 0.646406 kappa 0.581227 kappa 0.65375 kappa 0.568186 kappa 0.631598 kappa 0.631803 kappa 0.660115 kappa 0.531272 kappa 0.670008 kappa 0.547868 kappa 0.558668 kappa 0.501043 kappa 0.704655 kappa 0.667732 kappa 0.555269 kappa 0.587895 kappa 0.556488 kappa 0.601782 kappa 0.627787 kappa 0.646357 kappa 0.553236 kappa 0.573553 kappa 0.540103 kappa 0.501135 kappa 0.593353 kappa 0.617806 kappa 0.637479 kappa 0.544789 kappa 0.562141 kappa 0.588809 kappa 0.609458 kappa 0.640055 kappa 0.648649 kappa 0.617912 kappa 0.605517 kappa 0.589455 kappa 0.55445 kappa 0.603805 kappa 0.54626 kappa 0.649293 kappa 0.596266 kappa 0.565116 kappa 0.565681 kappa 0.577749 kappa 0.624323 kappa 0.668346 kappa 0.591811 kappa 0.594843 kappa 0.568146 kappa 0.607771 kappa 0.627411 kappa 0.636663 kappa 0.594749 kappa 0.55756 kappa 0.589284 kappa 0.594071 kappa 0.613578 kappa 0.61478 kappa 0.536447 kappa 0.604134 kappa 0.567987 kappa 0.618106 kappa 0.581266 kappa 0.595911 kappa 0.596732 kappa 0.598916 kappa 0.605913 kappa 0.536598 kappa 0.591417 kappa 0.617222 kappa 0.513974 kappa 0.519249 kappa 0.559709 kappa 0.556426 kappa 0.537628 kappa 0.628656 kappa 0.577798 kappa 0.55834 kappa 0.640238 kappa 0.589587 kappa 0.515168 kappa 0.540099 kappa 0.634055 kappa 0.601967 kappa 0.609837 kappa 0.639123 kappa 0.626141 kappa 0.629988 kappa 0.545988 kappa 0.51131 kappa 0.602391 kappa 0.567168 kappa 0.554368 kappa 0.647661 kappa 0.57552 kappa 0.589113 kappa 0.638755 kb_relative_information_score 84.913849 kb_relative_information_score 90.905376 kb_relative_information_score 91.391854 kb_relative_information_score 90.184383 kb_relative_information_score 87.746773 kb_relative_information_score 98.377422 kb_relative_information_score 84.38928 kb_relative_information_score 88.939239 kb_relative_information_score 92.227377 kb_relative_information_score 93.461067 kb_relative_information_score 84.07542 kb_relative_information_score 95.933956 kb_relative_information_score 82.692045 kb_relative_information_score 82.55973 kb_relative_information_score 78.309249 kb_relative_information_score 99.743088 kb_relative_information_score 91.845842 kb_relative_information_score 84.911675 kb_relative_information_score 87.849101 kb_relative_information_score 77.550208 kb_relative_information_score 91.411759 kb_relative_information_score 90.356675 kb_relative_information_score 94.584244 kb_relative_information_score 85.324982 kb_relative_information_score 87.154709 kb_relative_information_score 81.456712 kb_relative_information_score 79.129636 kb_relative_information_score 83.417913 kb_relative_information_score 91.479368 kb_relative_information_score 88.80303 kb_relative_information_score 81.808392 kb_relative_information_score 83.485645 kb_relative_information_score 85.922371 kb_relative_information_score 90.084838 kb_relative_information_score 95.053235 kb_relative_information_score 93.725669 kb_relative_information_score 91.709442 kb_relative_information_score 90.768212 kb_relative_information_score 89.181533 kb_relative_information_score 82.660754 kb_relative_information_score 89.839302 kb_relative_information_score 83.339583 kb_relative_information_score 94.805737 kb_relative_information_score 88.211608 kb_relative_information_score 84.808014 kb_relative_information_score 85.74586 kb_relative_information_score 80.570565 kb_relative_information_score 90.494241 kb_relative_information_score 96.3194 kb_relative_information_score 86.920878 kb_relative_information_score 89.714248 kb_relative_information_score 87.894 kb_relative_information_score 90.811347 kb_relative_information_score 93.566066 kb_relative_information_score 95.488266 kb_relative_information_score 86.091799 kb_relative_information_score 85.632353 kb_relative_information_score 88.973404 kb_relative_information_score 86.457 kb_relative_information_score 89.613381 kb_relative_information_score 90.709434 kb_relative_information_score 82.398314 kb_relative_information_score 90.30967 kb_relative_information_score 85.982303 kb_relative_information_score 91.891272 kb_relative_information_score 83.294301 kb_relative_information_score 88.002835 kb_relative_information_score 85.641384 kb_relative_information_score 88.436691 kb_relative_information_score 87.471924 kb_relative_information_score 81.931317 kb_relative_information_score 92.846532 kb_relative_information_score 90.957659 kb_relative_information_score 78.418211 kb_relative_information_score 78.818043 kb_relative_information_score 83.584016 kb_relative_information_score 82.747274 kb_relative_information_score 81.295802 kb_relative_information_score 90.817926 kb_relative_information_score 86.062408 kb_relative_information_score 80.843656 kb_relative_information_score 90.003862 kb_relative_information_score 85.523073 kb_relative_information_score 78.015043 kb_relative_information_score 78.87225 kb_relative_information_score 93.581425 kb_relative_information_score 85.779338 kb_relative_information_score 88.01529 kb_relative_information_score 96.404317 kb_relative_information_score 89.415247 kb_relative_information_score 90.178822 kb_relative_information_score 77.877091 kb_relative_information_score 76.747273 kb_relative_information_score 87.227456 kb_relative_information_score 81.320426 kb_relative_information_score 82.717534 kb_relative_information_score 91.693593 kb_relative_information_score 84.495951 kb_relative_information_score 87.622619 kb_relative_information_score 91.388035 mean_absolute_error 0.049781 mean_absolute_error 0.042883 mean_absolute_error 0.042558 mean_absolute_error 0.043893 mean_absolute_error 0.045402 mean_absolute_error 0.039654 mean_absolute_error 0.04761 mean_absolute_error 0.044555 mean_absolute_error 0.043625 mean_absolute_error 0.043285 mean_absolute_error 0.048144 mean_absolute_error 0.041521 mean_absolute_error 0.049938 mean_absolute_error 0.049124 mean_absolute_error 0.050676 mean_absolute_error 0.039287 mean_absolute_error 0.04147 mean_absolute_error 0.046038 mean_absolute_error 0.046998 mean_absolute_error 0.049889 mean_absolute_error 0.044797 mean_absolute_error 0.044242 mean_absolute_error 0.042467 mean_absolute_error 0.047958 mean_absolute_error 0.047942 mean_absolute_error 0.048982 mean_absolute_error 0.051061 mean_absolute_error 0.047807 mean_absolute_error 0.043557 mean_absolute_error 0.046988 mean_absolute_error 0.048229 mean_absolute_error 0.049217 mean_absolute_error 0.046618 mean_absolute_error 0.044232 mean_absolute_error 0.038666 mean_absolute_error 0.042385 mean_absolute_error 0.044599 mean_absolute_error 0.044775 mean_absolute_error 0.045605 mean_absolute_error 0.050043 mean_absolute_error 0.046865 mean_absolute_error 0.047833 mean_absolute_error 0.043888 mean_absolute_error 0.04693 mean_absolute_error 0.045236 mean_absolute_error 0.04809 mean_absolute_error 0.049151 mean_absolute_error 0.042376 mean_absolute_error 0.041405 mean_absolute_error 0.048297 mean_absolute_error 0.046997 mean_absolute_error 0.04791 mean_absolute_error 0.045667 mean_absolute_error 0.041896 mean_absolute_error 0.041521 mean_absolute_error 0.045775 mean_absolute_error 0.047138 mean_absolute_error 0.046338 mean_absolute_error 0.045459 mean_absolute_error 0.044981 mean_absolute_error 0.046301 mean_absolute_error 0.048866 mean_absolute_error 0.043685 mean_absolute_error 0.048461 mean_absolute_error 0.043954 mean_absolute_error 0.048662 mean_absolute_error 0.045836 mean_absolute_error 0.045784 mean_absolute_error 0.04724 mean_absolute_error 0.04614 mean_absolute_error 0.048579 mean_absolute_error 0.044461 mean_absolute_error 0.043714 mean_absolute_error 0.04999 mean_absolute_error 0.051276 mean_absolute_error 0.047009 mean_absolute_error 0.049189 mean_absolute_error 0.049316 mean_absolute_error 0.04476 mean_absolute_error 0.047029 mean_absolute_error 0.049853 mean_absolute_error 0.045197 mean_absolute_error 0.046172 mean_absolute_error 0.051673 mean_absolute_error 0.052438 mean_absolute_error 0.043635 mean_absolute_error 0.047904 mean_absolute_error 0.046578 mean_absolute_error 0.041356 mean_absolute_error 0.044753 mean_absolute_error 0.045319 mean_absolute_error 0.051014 mean_absolute_error 0.05236 mean_absolute_error 0.045473 mean_absolute_error 0.04978 mean_absolute_error 0.048474 mean_absolute_error 0.044964 mean_absolute_error 0.048917 mean_absolute_error 0.046353 mean_absolute_error 0.044683 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089868 mean_prior_absolute_error 0.089978 mean_prior_absolute_error 0.08988 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.08991 mean_prior_absolute_error 0.089884 mean_prior_absolute_error 0.089853 mean_prior_absolute_error 0.089954 mean_prior_absolute_error 0.089807 mean_prior_absolute_error 0.089902 mean_prior_absolute_error 0.08994 mean_prior_absolute_error 0.089763 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.0899 mean_prior_absolute_error 0.089929 mean_prior_absolute_error 0.089877 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089869 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089906 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089935 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089866 mean_prior_absolute_error 0.08986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089905 mean_prior_absolute_error 0.089933 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089896 mean_prior_absolute_error 0.089899 mean_prior_absolute_error 0.089913 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089909 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089859 mean_prior_absolute_error 0.089931 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089889 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089953 mean_prior_absolute_error 0.089951 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089964 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089947 mean_prior_absolute_error 0.089919 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089893 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089904 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089867 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089958 mean_prior_absolute_error 0.089984 mean_prior_absolute_error 0.09001 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.090015 mean_prior_absolute_error 0.089968 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.090001 mean_prior_absolute_error 0.089938 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089963 mean_prior_absolute_error 0.089838 mean_prior_absolute_error 0.090012 number_of_instances 156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4] number_of_instances 156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3] number_of_instances 156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3] number_of_instances 156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4] number_of_instances 156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4] precision 0.583719 [0,1,0,0.5,0,0.481481,0.914286,0,0,0,0.6,0,0.4,0.714286,0.833333,0.588235,0,1,0.3125,0.666667] precision 0.635435 [0,1,0,0,0,0.714286,0.825,0.333333,0,0,0.666667,0.5,0.4,0.833333,0.666667,0.909091,0,1,0.47619,0.5] precision 0.629653 [0,1,1,0,0,0.576923,0.785714,0,0,0,0.5,1,0.48,1,0.777778,0.769231,0,1,0.3,1] precision 0.638699 [0,1,0,0.5,0,0.55,0.891892,0,0,0,0.7,0.5,0.478261,0.833333,0.875,0.588235,0,1,0.5,0.75] precision 0.621125 [0,1,0,0,0,0.444444,0.815789,1,0.333333,0,0.5,0.5,0.333333,0.875,0.857143,1,0,1,0.375,1] precision 0.649517 [0,0.888889,0,1,0,0.52,0.894737,0,0,0,0.3,1,0.466667,0.777778,0.454545,0.833333,0,1,0.642857,1] precision 0.562046 [0,1,0,0.5,0,0.578947,0.794872,0,0,0,0.333333,0.333333,0.375,0.583333,0.625,0.692308,0,1,0.409091,0.666667] precision 0.635801 [0,0.875,0,0.666667,0,0.517241,0.894737,0,0,0,0.75,0.75,0.411765,1,0.7,0.625,0,1,0.5,0.571429] precision 0.671393 [0,1,0,1,0,0.722222,0.8,0,0,0,0.545455,0.333333,0.625,0.714286,1,1,0,1,0.36,0] precision 0.657267 [0,1,0,0.75,0,0.608696,0.785714,0,0,0,0.454545,1,0.692308,0.75,0.636364,0.666667,0,1,0.538462,1] precision 0.552723 [0,1,0,0.5,0,0.434783,0.837838,0,0,0,0.571429,0,0.2,1,0.6,0.47619,0,1,0.4,1] precision 0.67002 [0,0.888889,0,0,0,0.714286,0.942857,0.333333,0,0,0.4,1,0.526316,0.625,0.615385,1,0,1,0.5,1] precision 0.572834 [0,0.875,0,0.333333,0,0.444444,0.90625,0,0,0,0.714286,0.4,0.25,0.857143,0.714286,0.526316,0,1,0.277778,1] precision 0.569907 [0,1,0,0.333333,0,0.576923,0.815789,0,0,0,0.5,0,0.411765,0.714286,0.5,0.727273,0,1,0.375,1] precision 0.557267 [0,0.75,0,0.333333,0,0.428571,0.9375,0,0,0,0.333333,0,0.25,0.833333,1,0.615385,0,1,0.333333,1] precision 0.707664 [0,1,0.5,1,0,0.6,0.944444,0.4,0,0,0.416667,0,0.619048,0.857143,0.642857,0.9,0,1,0.625,1] precision 0.700303 [0,0.8,0,1,0,0.736842,0.891892,0.5,0,0,0.6,1,0.416667,0.857143,0.875,0.769231,0,1,0.434783,1] precision 0.608092 [0,1,0,0.5,0,0.5,0.933333,0,0,0,0.333333,0.5,0.388889,0.714286,0.571429,0.8,0,1,0.375,1] precision 0.586107 [0,0.888889,0,0,0,0.464286,0.864865,0.2,0,0,0.75,0.666667,0.478261,1,0.583333,0.666667,0,1,0.166667,1] precision 0.566758 [0,1,0,0,0,0.377778,0.857143,0,0,0,0.25,0,0.588235,0.625,0.5,0.909091,0,1,0.625,1] precision 0.612004 [0,1,0,0.666667,0,0.483871,0.846154,0,0,0,0.714286,0.8,0.307692,1,0.5,0.9,0,1,0.333333,1] precision 0.62706 [0,1,0,0.8,0,0.529412,0.941176,0,0,0,0.333333,0.5,0.647059,0.75,0.538462,0.8,0,0.8,0.391304,0.6] precision 0.655449 [1,1,0,0.333333,0,0.615385,0.815789,0.333333,0,0,0.25,0.333333,0.444444,0.833333,1,1,0,1,0.666667,0.6] precision 0.610089 [0,1,0,0.75,0,0.538462,0.702703,0,0,0,1,1,0.461538,0.666667,0.777778,0.5,0,1,0.25,1] precision 0.605792 [0,0.875,0,0,0,0.483871,0.861111,1,1,0,0.75,0.333333,0.3,0.666667,0.538462,0.8,0,1,0.363636,1] precision 0.554015 [0,1,0,0,0,0.40625,0.8,0,0,0,0.75,0,0.333333,1,0.6,0.5625,0,1,0.555556,1] precision 0.564821 [0,0.875,0.333333,0.5,0,0.354839,0.837838,0,0,0,0.333333,1,0.230769,0.857143,1,0.636364,0,1,0.333333,0.6] precision 0.601569 [0,1,0,1,0,0.555556,0.756098,0,0,0,0.5,0,0.5,0.75,0.714286,0.434783,0,1,0.538462,1] precision 0.607513 [0,1,0,0.2,0,0.631579,0.804878,0.5,0,0,0.5,0,0.3125,1,0.727273,0.666667,0,1,0.615385,0.75] precision 0.624831 [0,1,0.5,1,0,0.517241,0.825,0,0,0,0.833333,0,0.466667,0.75,0.727273,0.666667,0,0.666667,0.533333,0.666667] precision 0.567123 [0,1,0,0.6,0,0.464286,0.75,0,0,0,0.272727,0,0.583333,0.75,0.75,0.888889,0,1,0.285714,0.75] precision 0.570581 [0,0.875,0,0.6,0,0.466667,0.941176,0,0,0,0.555556,0.5,0.444444,0.75,0.461538,0.571429,0,1,0.2,0.75] precision 0.565755 [0,1,0,0,0,0.483871,0.914286,0,0,0,0.333333,0,0.4375,0.857143,0.888889,0.5,0,1,0.4,0.428571] precision 0.609518 [0,1,0,0.333333,0,0.761905,0.785714,0,0,0,0.375,0,0.35,0.666667,0.727273,0.75,0,1,0.571429,1] precision 0.653285 [0,0.875,0,0.333333,0,0.615385,0.916667,0,0,0,0.277778,0,0.6,0.75,0.857143,1,0,1,0.538462,1] precision 0.680076 [0,1,0,0.4,0,0.555556,0.941176,1,0,0,0.571429,1,0.666667,0.7,0.666667,0.692308,0,1,0.352941,1] precision 0.633876 [0,1,0,0.333333,0,0.555556,0.837838,0,0,0,0.666667,1,0.478261,0.5,0.833333,0.727273,0,1,0.5,1] precision 0.607679 [0,0.857143,0,0.4,0,0.482759,0.941176,0.5,0,0,0.5,0,0.466667,0.75,0.6,0.692308,0,1,0.571429,0.75] precision 0.610704 [0,1,0,1,0,0.48,0.916667,0.142857,0,0,0.2,1,0.444444,0.6,0.666667,0.533333,0,1,0.5,1] precision 0.572117 [0,1,0,0.428571,0,0.428571,0.875,0.5,0,0,0.375,0.5,0.2,0.857143,0.666667,0.888889,0,0.75,0.3125,1] precision 0.630732 [0,1,0,0.5,0,0.444444,0.933333,0,0,0,0.444444,0,0.521739,0.714286,1,0.8,0,1,0.416667,1] precision 0.568771 [0,0.875,0,0.5,0,0.521739,0.805556,0,0,0,0.307692,0,0.434783,0.857143,1,0.833333,0,0.5,0.357143,1] precision 0.638774 [0,1,1,0.444444,0,0.714286,0.914286,0,0,0,0.5,0,0.4,0.625,0.636364,0.833333,0,0.5,0.5,1] precision 0.635623 [0,1,0.5,0.666667,0,0.419355,0.868421,0.5,0,0,0.2,0,0.625,0.666667,0.666667,0.857143,0,1,0.5,1] precision 0.574576 [0,0.888889,0,0.4,0,0.478261,0.731707,0,0,0,0.666667,0.5,0.391304,0.75,0.636364,0.75,0,1,0.6,0.5] precision 0.586319 [0,1,0,0.5,0,0.371429,0.888889,0,0,0,0.555556,1,0.45,0.75,0.666667,0.692308,0,1,0.25,1] precision 0.621332 [1,0.888889,0,0,0,0.484848,0.75,0,0,0,0.428571,1,0.526316,0.5,0.888889,1,0,1,0.6,1] precision 0.648572 [0,1,0.5,1,0,0.608696,0.825,0,0,0,0.5,1,0.444444,0.75,0.5625,0.5625,0,1,0.636364,1] precision 0.652961 [0,1,0,0,0,0.6,0.837838,0.166667,0,0,0.8,0.8,0.578947,0.75,0.75,0.625,0,1,0.6,1] precision 0.672514 [0,1,1,1,0,0.56,0.939394,0.222222,0,0,0.285714,0.5,0.5,1,0.875,0.5,0,1,0.4375,0.75] precision 0.599285 [0,1,0,0.5,0,0.619048,0.846154,0,0,0,0.533333,0,0.3,0.857143,0.8,0.727273,0,1,0.35,1] precision 0.618661 [0,0.777778,0,0.666667,0,0.48,0.914286,0.142857,0,0,1,1,0.285714,1,0.571429,0.666667,0,1,0.307692,0.666667] precision 0.66756 [0,1,0.333333,0.75,0,0.692308,0.914286,0.25,0,0,0.25,1,0.5,0.8,0.615385,1,0,1,0.333333,0.571429] precision 0.626536 [0,1,0,0,0,0.625,0.885714,0,0,0,0.714286,0.333333,0.631579,0.777778,0.6,0.714286,0,1,0.35,0.75] precision 0.680844 [0,0.777778,0,0.363636,0,0.6875,0.96875,0,0,0,0.454545,1,0.454545,0.857143,0.75,1,0.5,1,0.454545,1] precision 0.553152 [0,0.8,0,0,0,0.45,0.775,0,0,0,0.375,0.5,0.454545,0.666667,0.7,0.769231,0,1,0.588235,0.75] precision 0.535732 [0,0.777778,0,0.666667,0,0.521739,0.772727,0,0,0,0.277778,0,0.307692,0.857143,0.583333,0.833333,0,1,0.285714,1] precision 0.607439 [0,1,0,0.142857,0,0.571429,0.783784,0,0,0,0.428571,0.5,0.466667,0.714286,1,1,0,1,0.5,0.75] precision 0.633793 [0,1,0,1,0,0.545455,0.761905,0.4,0,0,0.666667,1,0.409091,0.625,0.857143,0.818182,0,1,0.307692,0.75] precision 0.636587 [0,1,0,0.333333,0,0.636364,0.878788,0,0,0,0.6,0.666667,0.47619,0.777778,0.9,0.642857,0,1,0.3,1] precision 0.649119 [0,1,0,1,0,0.6,0.933333,0.25,0,0,0.428571,1,0.421053,0.833333,0.615385,0.666667,0,0.8,0.454545,0.6] precision 0.574352 [0,1,0,0.5,0,0.46875,0.810811,0.5,0,0,0.454545,1,0.25,0.833333,0.625,0.571429,0,1,0.357143,1] precision 0.611553 [0,0.777778,0.2,0.25,0,0.666667,0.780488,0,0,0,0.5,1,0.416667,0.857143,0.7,0.588235,0,1,0.555556,1] precision 0.582084 [0,1,0,0.2,0,0.444444,0.825,0,0,0,0.333333,1,0.5,0.714286,0.8,0.625,0,1,0.375,1] precision 0.629957 [0,1,0,0.166667,0,0.535714,0.833333,0.333333,0,0,0.714286,0,0.45,0.714286,0.571429,0.769231,0,1,0.857143,1] precision 0.576966 [0,0.888889,0,0.333333,0,0.583333,0.8,0,0,0,0.461538,0,0.352941,0.625,0.666667,0.5625,0,1,0.75,1] precision 0.598695 [0,0.875,0,0,0,0.576923,0.804878,0.25,0,0,0.333333,1,0.461538,0.6,0.714286,0.769231,0,1,0.6,1] precision 0.654506 [0,0.875,0,0.333333,0,0.65,0.864865,0.222222,0,0,1,1,0.48,0.555556,0.666667,0.888889,0,1,0.3125,1] precision 0.597141 [0,0.875,0,0.2,0,0.518519,0.911765,0,0,0,0,1,0.454545,0.875,0.888889,0.428571,0.25,1,0.555556,1] precision 0.644185 [0,0.875,1,1,0,0.516129,0.695652,0.5,0,0,0.75,0.5,0.538462,0.625,0.7,0.857143,0,1,0.533333,0.666667] precision 0.538893 [0,0.875,0,0,0,0.517241,0.785714,0.333333,0,0,0.2,1,0.25,0.625,0.666667,1,0,1,0.235294,0.75] precision 0.637633 [0,1,0,0.666667,0,0.451613,0.935484,0,0,0,0.263158,1,0.4375,0.777778,0.666667,1,0,1,0.5,0.666667] precision 0.62326 [0,1,0,0.363636,0,0.705882,0.738095,0,0,0,1,0.5,0.47619,0.875,0.666667,0.818182,0,1,0.25,1] precision 0.55827 [0,1,0,0.2,0,0.538462,0.885714,0,0,0,0.1875,0,0.181818,0.75,0.8,1,0,1,0.466667,1] precision 0.541762 [0,1,0,0.25,0,0.5,0.861111,0,0,0,0.357143,0,0.428571,0.666667,0.538462,0.666667,0,1,0.291667,0.75] precision 0.579537 [0,1,0,0,0,0.459459,0.911765,0,0,0,0.25,0.4,0.473684,0.857143,0.666667,0.636364,0,1,0.666667,0.285714] precision 0.547292 [0,1,0,0,0,0.583333,0.717391,0.2,0,0,0.25,0,0.384615,0.857143,0.777778,0.9,0,1,0.352941,1] precision 0.544603 [0,1,0,0.2,0,0.410256,0.861111,0,0,0,0,0.333333,0.6,0.75,0.454545,0.833333,0,1,0.166667,1] precision 0.634775 [0,0.875,0,0.6,0,0.705882,0.885714,0.142857,0,0,0.454545,0.5,0.357143,0.875,0.857143,0.6,0,1,0.473684,1] precision 0.640696 [0,1,0,0.333333,0,0.5,0.916667,0.181818,0,0,0.5,1,0.692308,0.875,0.714286,0.5,0,1,0.266667,1] precision 0.594583 [0,1,0,0.2,0,0.583333,0.8,0,0,0,1,1,0.318182,0.571429,0.833333,0.625,0,1,0.3125,0.75] precision 0.641132 [0,1,0.333333,0.4,0,0.652174,0.868421,0.5,0,0,0.4,0.5,0.526316,0.777778,0.571429,1,0,1,0.285714,0.75] precision 0.594875 [0,1,0,0.666667,0,0.482759,0.864865,0,0,0,0.4,0.6,0.5,0.5,0.7,0.857143,1,1,0.375,0.666667] precision 0.579967 [0,1,0,1,0,0.377778,0.878788,0,0,0,0.25,0.5,0.583333,0.571429,0.857143,0.857143,0,1,0.2,0.666667] precision 0.585791 [0,1,1,0.666667,0,0.413793,0.885714,0,0,0,0.444444,0.333333,0.4,0.625,0.75,0.346154,0,1,0.5,0.8] precision 0.675364 [0,1,0,1,0,0.541667,0.885714,0.5,0,0,0.375,1,0.533333,0.714286,0.777778,0.818182,0,1,0.461538,1] precision 0.613925 [0,1,0,0.5,0,0.608696,0.825,0.5,0,0,0.333333,0.5,0.538462,1,0.6,0.692308,0,1,0.428571,0.5] precision 0.617754 [0,1,0,1,0,0.608696,0.775,0,0,0,0.545455,0.333333,0.368421,0.875,0.75,0.769231,0,1,0.461538,0.75] precision 0.662355 [0,1,0,0.666667,0,0.483871,0.888889,0.666667,0,0,0.5,0,0.56,0.6,0.625,0.6,0,1,1,1] precision 0.654096 [0,1,0,0.5,0,0.545455,0.820513,0.5,0,0,0.857143,1,0.352941,0.7,0.5,0.692308,0,1,0.857143,0.571429] precision 0.638611 [0,1,0,0,0,0.565217,0.825,0,0,0,0.8,1,0.56,1,0.8,0.777778,0,1,0.318182,1] precision 0.552671 [0,1,0,0.333333,0,0.565217,0.828571,0,0,0,0,0,0.4,0.555556,0.7,0.727273,0,1,0.444444,1] precision 0.579343 [0,1,1,0,0,0.478261,0.878788,0,0,0,0.214286,0,0.444444,0.833333,0.8,0.7,0,1,0.32,1] precision 0.56714 [0,1,0,0,0,0.652174,0.85,0.666667,0,0,0,0.333333,0.4375,1,0.727273,0.5,0,1,0.409091,0.5] precision 0.602123 [0,1,0,1,0,0.6,0.804878,0,0,0,0.666667,0.333333,0.333333,0.714286,0.636364,0.888889,0,0.8,0.428571,0.666667] precision 0.573208 [0,1,0,0.25,0,0.526316,0.857143,0,0,0,0.333333,0.5,0.37037,0.545455,0.857143,0.8,0,1,0.357143,0.6] precision 0.650975 [0,1,0,0.6,0,0.590909,0.911765,0,0,0,0.875,0.333333,0.470588,0.75,0.875,0.769231,0,1,0.333333,0.75] precision 0.589457 [0,1,0,0.25,0,0.611111,0.815789,0,0,0,0.571429,0,0.6,0.666667,0.9,0.434783,0,1,0.3,1] precision 0.630816 [0,0.875,0,0.5,0,0.571429,0.914286,0.5,0,0,0.666667,1,0.428571,0.6,0.8,0.727273,0,0.8,0.266667,0.6] precision 0.659896 [0,1,1,0.333333,0,0.75,0.825,0.5,0,0,0.4,0,0.461538,0.75,0.666667,1,0,1,0.454545,1] predictive_accuracy 0.621795 predictive_accuracy 0.679487 predictive_accuracy 0.666667 predictive_accuracy 0.685897 predictive_accuracy 0.628205 predictive_accuracy 0.692308 predictive_accuracy 0.615385 predictive_accuracy 0.673077 predictive_accuracy 0.673077 predictive_accuracy 0.698718 predictive_accuracy 0.583333 predictive_accuracy 0.705128 predictive_accuracy 0.596154 predictive_accuracy 0.608974 predictive_accuracy 0.557692 predictive_accuracy 0.737179 predictive_accuracy 0.705128 predictive_accuracy 0.602564 predictive_accuracy 0.634615 predictive_accuracy 0.608974 predictive_accuracy 0.647436 predictive_accuracy 0.666667 predictive_accuracy 0.685897 predictive_accuracy 0.602564 predictive_accuracy 0.621795 predictive_accuracy 0.596154 predictive_accuracy 0.557692 predictive_accuracy 0.641026 predictive_accuracy 0.660256 predictive_accuracy 0.679487 predictive_accuracy 0.596154 predictive_accuracy 0.608974 predictive_accuracy 0.634615 predictive_accuracy 0.653846 predictive_accuracy 0.679487 predictive_accuracy 0.685897 predictive_accuracy 0.660256 predictive_accuracy 0.647436 predictive_accuracy 0.634615 predictive_accuracy 0.602564 predictive_accuracy 0.647436 predictive_accuracy 0.596154 predictive_accuracy 0.685897 predictive_accuracy 0.641026 predictive_accuracy 0.615385 predictive_accuracy 0.615385 predictive_accuracy 0.628205 predictive_accuracy 0.666667 predictive_accuracy 0.705128 predictive_accuracy 0.634615 predictive_accuracy 0.641026 predictive_accuracy 0.615385 predictive_accuracy 0.647436 predictive_accuracy 0.666667 predictive_accuracy 0.673077 predictive_accuracy 0.641026 predictive_accuracy 0.608974 predictive_accuracy 0.634615 predictive_accuracy 0.641026 predictive_accuracy 0.653846 predictive_accuracy 0.653846 predictive_accuracy 0.589744 predictive_accuracy 0.647436 predictive_accuracy 0.615385 predictive_accuracy 0.660256 predictive_accuracy 0.628205 predictive_accuracy 0.641026 predictive_accuracy 0.641026 predictive_accuracy 0.641026 predictive_accuracy 0.653846 predictive_accuracy 0.589744 predictive_accuracy 0.634615 predictive_accuracy 0.660256 predictive_accuracy 0.564103 predictive_accuracy 0.570513 predictive_accuracy 0.608974 predictive_accuracy 0.608974 predictive_accuracy 0.589744 predictive_accuracy 0.666667 predictive_accuracy 0.621795 predictive_accuracy 0.608974 predictive_accuracy 0.679487 predictive_accuracy 0.634615 predictive_accuracy 0.570513 predictive_accuracy 0.589744 predictive_accuracy 0.673077 predictive_accuracy 0.647436 predictive_accuracy 0.653846 predictive_accuracy 0.679487 predictive_accuracy 0.666667 predictive_accuracy 0.673077 predictive_accuracy 0.596154 predictive_accuracy 0.564103 predictive_accuracy 0.647436 predictive_accuracy 0.615385 predictive_accuracy 0.602564 predictive_accuracy 0.685897 predictive_accuracy 0.621795 predictive_accuracy 0.634615 predictive_accuracy 0.679487 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 recall 0.621795 [0,1,0,0.6,0,0.65,0.941176,0,0,0,0.3,0,0.5,0.714286,0.555556,1,0,1,0.384615,0.666667] recall 0.679487 [0,1,0,0,0,0.789474,0.942857,0.25,0,0,0.444444,0.25,0.375,0.833333,0.8,1,0,1,0.769231,0.25] recall 0.666667 [0,1,0.25,0,0,0.789474,0.970588,0,0,0,0.333333,0.25,0.75,0.857143,0.7,1,0,1,0.230769,0.666667] recall 0.685897 [0,1,0,0.2,0,0.55,0.970588,0,0,0,0.777778,0.25,0.647059,0.833333,0.7,1,0,1,0.538462,1] recall 0.628205 [0,1,0,0,0,0.631579,0.911765,0.2,1,0,0.2,0.5,0.529412,1,0.666667,1,0,1,0.230769,1] recall 0.692308 [0,1,0,0.4,0,0.65,1,0,0,0,0.333333,0.5,0.4375,1,0.555556,1,0,1,0.692308,1] recall 0.615385 [0,1,0,0.2,0,0.55,0.911765,0,0,0,0.222222,0.25,0.1875,1,1,0.9,0,0.666667,0.692308,0.5] recall 0.673077 [0,0.875,0,0.4,0,0.75,1,0,0,0,0.333333,0.75,0.411765,1,0.777778,1,0,0.666667,0.307692,1] recall 0.673077 [0,0.875,0,0.8,0,0.65,0.941176,0,0,0,0.6,0.5,0.588235,0.714286,0.555556,0.8,0,1,0.692308,0] recall 0.698718 [0,0.875,0,0.5,0,0.736842,0.970588,0,0,0,0.555556,0.25,0.529412,1,0.777778,1,0,1,0.538462,0.75] recall 0.583333 [0,1,0,0.2,0,0.5,0.885714,0,0,0,0.444444,0,0.25,1,1,1,0,1,0.153846,0.5] recall 0.705128 [0,1,0,0,0,0.75,0.970588,0.5,0,0,0.4,0.75,0.588235,0.833333,0.888889,0.777778,0,1,0.538462,1] recall 0.596154 [0,0.875,0,0.2,0,0.631579,0.852941,0,0,0,0.5,0.5,0.235294,1,0.555556,1,0,0.75,0.384615,1] recall 0.608974 [0,1,0,0.4,0,0.75,0.885714,0,0,0,0.333333,0,0.411765,0.714286,0.555556,0.8,0,1,0.461538,0.666667] recall 0.557692 [0,0.857143,0,0.2,0,0.75,0.882353,0,0,0,0.222222,0,0.352941,0.714286,0.555556,0.8,0,0.5,0.384615,0.666667] recall 0.737179 [0,1,0.333333,0.2,0,0.75,1,0.5,0,0,0.555556,0,0.764706,0.857143,1,0.9,0,1,0.384615,1] recall 0.705128 [0,1,0,0.4,0,0.7,0.970588,0.2,0,0,0.333333,0.25,0.625,0.857143,0.777778,1,0,0.666667,0.769231,0.75] recall 0.602564 [0,1,0,0.4,0,0.75,0.823529,0,0,0,0.222222,0.25,0.411765,0.714286,0.888889,0.8,0,0.75,0.461538,0.25] recall 0.634615 [0,1,0,0,0,0.65,0.941176,0.2,0,0,0.666667,0.5,0.647059,0.833333,0.777778,0.8,0,0.75,0.076923,0.666667] recall 0.608974 [0,1,0,0,0,0.85,0.882353,0,0,0,0.333333,0,0.588235,0.833333,0.222222,1,0,1,0.384615,0.666667] recall 0.647436 [0,1,0,0.4,0,0.75,0.970588,0,0,0,0.555556,1,0.235294,1,0.333333,0.9,0,1,0.461538,0.75] recall 0.666667 [0,1,0,0.8,0,0.45,0.941176,0,0,0,0.222222,0.25,0.647059,1,0.777778,0.888889,0,1,0.692308,0.75] recall 0.685897 [1,0.875,0,0.4,0,0.8,0.911765,0.25,0,0,0.222222,0.25,0.470588,0.833333,0.777778,0.9,0,1,0.769231,0.75] recall 0.602564 [0,1,0,0.6,0,0.7,0.764706,0,0,0,0.444444,0.5,0.352941,0.571429,0.777778,0.9,0,1,0.307692,0.75] recall 0.621795 [0,1,0,0,0,0.75,0.911765,0.2,0.5,0,0.333333,0.25,0.352941,0.857143,0.777778,0.8,0,1,0.307692,1] recall 0.596154 [0,1,0,0,0,0.65,0.941176,0,0,0,0.333333,0,0.588235,0.714286,0.333333,1,0,1,0.384615,0.666667] recall 0.557692 [0,0.875,0.333333,0.2,0,0.578947,0.911765,0,0,0,0.222222,0.25,0.352941,0.857143,0.666667,0.777778,0,0.75,0.153846,0.75] recall 0.641026 [0,1,0,0.166667,0,0.75,0.911765,0,0,0,0.444444,0,0.411765,0.857143,0.555556,1,0,0.75,0.538462,1] recall 0.660256 [0,1,0,0.2,0,0.6,0.970588,0.6,0,0,0.333333,0,0.294118,0.833333,0.888889,1,0,1,0.615385,1] recall 0.679487 [0,1,0.25,0.6,0,0.75,0.970588,0,0,0,0.555556,0,0.411765,1,0.888889,0.8,0,0.666667,0.615385,0.666667] recall 0.596154 [0,0.875,0,0.5,0,0.65,0.882353,0,0,0,0.333333,0,0.411765,1,0.6,0.888889,0,1,0.307692,0.75] recall 0.608974 [0,1,0,0.5,0,0.7,0.941176,0,0,0,0.555556,0.25,0.235294,1,0.666667,0.888889,0,0.75,0.230769,0.75] recall 0.634615 [0,1,0,0,0,0.75,0.941176,0,0,0,0.222222,0,0.411765,1,0.888889,1,0,1,0.307692,0.75] recall 0.653846 [0,1,0,0.2,0,0.8,0.970588,0,0,0,0.333333,0,0.411765,0.857143,0.888889,0.9,0,0.75,0.307692,1] recall 0.679487 [0,0.875,0,0.4,0,0.8,0.970588,0,0,0,0.555556,0,0.529412,1,0.6,0.9,0,1,0.538462,0.666667] recall 0.685897 [0,1,0,0.666667,0,0.789474,0.914286,0.5,0,0,0.444444,0.25,0.352941,1,0.888889,1,0,1,0.461538,0.666667] recall 0.660256 [0,1,0,0.4,0,0.789474,0.911765,0,0,0,0.444444,0.5,0.647059,0.714286,0.555556,0.888889,0,1,0.307692,1] recall 0.647436 [0,0.857143,0,0.333333,0,0.7,0.941176,0.4,0,0,0.666667,0,0.411765,1,0.666667,1,0,1,0.307692,1] recall 0.634615 [0,1,0,0.4,0,0.6,0.970588,0.2,0,0,0.111111,0.25,0.470588,1,0.888889,0.8,0,0.666667,0.461538,1] recall 0.602564 [0,1,0,0.6,0,0.75,0.823529,0.25,0,0,0.333333,0.25,0.117647,1,0.8,0.8,0,1,0.384615,1] recall 0.647436 [0,1,0,0.166667,0,0.8,0.823529,0,0,0,0.444444,0,0.705882,0.833333,0.666667,0.888889,0,1,0.384615,1] recall 0.596154 [0,1,0,0.333333,0,0.6,0.852941,0,0,0,0.444444,0,0.588235,1,0.333333,1,0,0.666667,0.384615,1] recall 0.685897 [0,1,1,0.666667,0,0.75,0.941176,0,0,0,0.555556,0,0.352941,0.833333,0.777778,1,0,1,0.461538,0.75] recall 0.641026 [0,0.875,0.666667,0.666667,0,0.684211,0.970588,0.25,0,0,0.222222,0,0.294118,0.857143,0.444444,0.6,0,1,0.769231,0.75] recall 0.615385 [0,1,0,0.333333,0,0.55,0.882353,0,0,0,0.222222,0.25,0.529412,1,0.777778,0.9,0,1,0.461538,0.333333] recall 0.615385 [0,1,0,0.166667,0,0.684211,0.941176,0,0,0,0.5,0.25,0.529412,1,0.444444,1,0,1,0.230769,0.666667] recall 0.628205 [0.5,1,0,0,0,0.842105,0.970588,0,0,0,0.333333,0.25,0.588235,0.857143,0.888889,0.444444,0,0.5,0.230769,0.75] recall 0.666667 [0,1,0.25,0.333333,0,0.7,0.970588,0,0,0,0.333333,0.5,0.470588,0.5,1,1,0,1,0.538462,0.666667] recall 0.705128 [0,0.875,0,0,0,0.75,0.911765,0.2,0,0,0.444444,1,0.647059,1,1,1,0,1,0.461538,0.75] recall 0.634615 [0,1,0.25,0.2,0,0.7,0.911765,0.5,0,0,0.444444,0.25,0.352941,0.5,0.777778,0.8,0,0.75,0.538462,1] recall 0.641026 [0,0.875,0,0.333333,0,0.65,0.970588,0,0,0,0.888889,0,0.352941,1,0.444444,0.888889,0,1,0.538462,0.5] recall 0.615385 [0,1,0,0.333333,0,0.6,0.941176,0.2,0,0,0.555556,0.5,0.352941,0.857143,0.444444,1,0,1,0.307692,0.666667] recall 0.647436 [0,1,0.333333,0.5,0,0.45,0.941176,0.25,0,0,0.555556,0.25,0.352941,0.666667,0.888889,1,0,1,0.461538,1] recall 0.666667 [0,1,0,0,0,0.526316,0.911765,0,0,0,0.5,0.5,0.705882,1,0.666667,1,0,1,0.538462,0.75] recall 0.673077 [0,0.875,0,0.666667,0,0.55,0.911765,0,0,0,0.555556,0.5,0.588235,1,1,0.8,1,0.75,0.384615,1] recall 0.641026 [0,1,0,0,0,0.473684,0.911765,0,0,0,0.333333,0.25,0.588235,0.666667,0.777778,1,0,1,0.769231,1] recall 0.608974 [0,1,0,0.333333,0,0.631579,0.971429,0,0,0,0.555556,0,0.235294,1,0.777778,1,0,1,0.153846,0.666667] recall 0.634615 [0,1,0,0.166667,0,0.8,0.852941,0,0,0,0.333333,0.25,0.411765,0.833333,0.666667,0.888889,0,1,0.692308,1] recall 0.641026 [0,0.875,0,0.4,0,0.6,0.941176,0.5,0,0,0.444444,0.5,0.529412,0.833333,0.6,0.9,0,1,0.307692,0.75] recall 0.653846 [0,1,0,0.2,0,0.7,0.852941,0,0,0,0.333333,1,0.588235,1,1,0.9,0,1,0.230769,0.333333] recall 0.653846 [0,1,0,0.166667,0,0.789474,0.823529,0.25,0,0,0.333333,0.75,0.470588,0.833333,0.888889,1,0,1,0.384615,1] recall 0.589744 [0,1,0,0.166667,0,0.75,0.882353,0.2,0,0,0.555556,0.25,0.235294,0.714286,0.555556,0.8,0,0.666667,0.384615,1] recall 0.647436 [0,1,0.666667,0.166667,0,0.7,0.941176,0,0,0,0.444444,0.25,0.294118,0.857143,0.777778,1,0,1,0.384615,1] recall 0.615385 [0,0.857143,0,0.5,0,0.421053,0.970588,0,0,0,0.111111,0.5,0.470588,0.833333,0.888889,1,0,1,0.461538,0.5] recall 0.660256 [0,0.875,0,0.166667,0,0.75,0.882353,0.25,0,0,0.555556,0,0.5625,0.833333,0.888889,1,0,1,0.461538,0.75] recall 0.628205 [0,1,0,0.4,0,0.736842,0.941176,0,0,0,0.666667,0,0.352941,0.833333,0.8,0.9,0,1,0.230769,0.333333] recall 0.641026 [0,1,0,0,0,0.75,0.970588,0.5,0,0,0.222222,0.5,0.352941,1,0.555556,1,0,1,0.461538,0.666667] recall 0.641026 [0,1,0,0.2,0,0.684211,0.941176,0.4,0,0,0.4,0.25,0.705882,0.833333,0.666667,0.8,0,0.5,0.384615,0.666667] recall 0.641026 [0,1,0,0.166667,0,0.736842,0.911765,0,0,0,0,0.25,0.3125,1,0.888889,1,0.5,1,0.769231,0.5] recall 0.653846 [0,1,0.333333,0.4,0,0.8,0.941176,0.2,0,0,0.333333,0.25,0.411765,0.714286,0.777778,0.666667,0,1,0.615385,0.5] recall 0.589744 [0,1,0,0,0,0.789474,0.970588,0.2,0,0,0.111111,0.25,0.176471,0.714286,0.666667,0.9,0,1,0.307692,1] recall 0.634615 [0,1,0,0.4,0,0.736842,0.852941,0,0,0,0.555556,0.25,0.411765,1,0.666667,0.9,0,1,0.384615,0.666667] recall 0.660256 [0,1,0,0.666667,0,0.6,0.911765,0,0,0,0.444444,0.5,0.588235,1,0.888889,1,0,1,0.230769,0.666667] recall 0.564103 [0,1,0,0.166667,0,0.736842,0.911765,0,0,0,0.333333,0,0.117647,1,0.444444,0.666667,0,1,0.538462,1] recall 0.570513 [0,1,0,0.166667,0,0.526316,0.885714,0,0,0,0.555556,0,0.1875,0.666667,0.777778,0.8,0,0.666667,0.538462,0.75] recall 0.608974 [0,0.75,0,0,0,0.85,0.911765,0,0,0,0.222222,0.5,0.529412,1,0.666667,0.7,0,1,0.307692,0.5] recall 0.608974 [0,0.857143,0,0,0,0.7,0.970588,0.25,0,0,0.222222,0,0.294118,1,0.777778,0.9,0,1,0.461538,0.666667] recall 0.589744 [0,1,0,0.2,0,0.842105,0.885714,0,0,0,0,0.25,0.375,1,0.555556,1,0,1,0.153846,0.5] recall 0.666667 [0,1,0,0.5,0,0.631579,0.911765,0.25,0,0,0.555556,0.25,0.3125,1,0.666667,1,0,1,0.692308,1] recall 0.621795 [0,1,0,0.4,0,0.473684,0.942857,0.4,0,0,0.666667,0.25,0.529412,1,0.555556,0.777778,0,0.5,0.307692,0.75] recall 0.608974 [0,1,0,0.2,0,0.736842,0.941176,0,0,0,0.222222,0.25,0.411765,0.571429,0.555556,1,0,1,0.384615,1] recall 0.679487 [0,0.875,0.333333,0.4,0,0.789474,0.970588,0.5,0,0,0.222222,0.5,0.588235,1,0.444444,1,0,1,0.307692,1] recall 0.634615 [0,1,0,0.4,0,0.736842,0.941176,0,0,0,0.444444,0.75,0.529412,0.714286,0.777778,0.666667,1,1,0.230769,0.666667] recall 0.570513 [0,1,0,0.2,0,0.85,0.852941,0,0,0,0.333333,0.25,0.4375,0.666667,0.666667,0.666667,0,0.75,0.230769,0.666667] recall 0.589744 [0,1,0.333333,0.4,0,0.631579,0.911765,0,0,0,0.444444,0.25,0.352941,0.714286,0.333333,1,0,0.666667,0.307692,1] recall 0.673077 [0,1,0,0.8,0,0.65,0.911765,0.2,0,0,0.666667,0.5,0.470588,0.833333,0.777778,0.9,0,1,0.461538,0.5] recall 0.647436 [0,0.857143,0,0.5,0,0.7,0.970588,0.25,0,0,0.222222,0.25,0.411765,0.666667,0.333333,0.9,0,1,0.923077,0.666667] recall 0.653846 [0,0.875,0,0.2,0,0.736842,0.911765,0,0,0,0.666667,0.25,0.4375,1,0.6,1,0,1,0.461538,0.75] recall 0.679487 [0,1,0,0.333333,0,0.789474,0.941176,0.5,0,0,0.222222,0,0.823529,0.857143,0.555556,1,0,1,0.307692,1] recall 0.666667 [0,1,0,0.333333,0,0.631579,0.941176,0.2,0,0,0.6,0.25,0.375,1,0.888889,1,0,0.75,0.461538,1] recall 0.673077 [0,0.857143,0,0,0,0.684211,0.970588,0,0,0,0.444444,0.75,0.823529,1,0.444444,0.7,0,1,0.538462,1] recall 0.596154 [0,1,0,0.2,0,0.684211,0.852941,0,0,0,0,0,0.625,0.714286,0.777778,0.8,0,0.5,0.615385,0.5] recall 0.564103 [0,1,0.25,0,0,0.578947,0.828571,0,0,0,0.333333,0,0.5,0.714286,0.444444,0.777778,0,0.666667,0.615385,0.666667] recall 0.647436 [0,1,0,0,0,0.75,1,0.4,0,0,0,0.25,0.4375,1,0.888889,0.777778,0,0.666667,0.692308,0.666667] recall 0.615385 [0,0.714286,0,0.4,0,0.631579,0.970588,0,0,0,0.222222,0.25,0.411765,0.714286,0.777778,0.888889,0,1,0.461538,1] recall 0.602564 [0,1,0,0.2,0,0.5,0.882353,0,0,0,0.333333,0.25,0.625,0.857143,0.666667,0.8,0,1,0.384615,0.75] recall 0.685897 [0,0.875,0,0.6,0,0.65,0.911765,0,0,0,0.7,0.25,0.470588,1,0.777778,1,0,1,0.615385,1] recall 0.621795 [0,0.625,0,0.2,0,0.578947,0.911765,0,0,0,0.444444,0,0.705882,0.857143,1,1,0,0.333333,0.230769,1] recall 0.634615 [0,1,0,0.166667,0,0.631579,0.914286,0.25,0,0,0.444444,0.25,0.705882,0.857143,0.444444,0.8,0,1,0.307692,1] recall 0.679487 [0,1,0.333333,0.166667,0,0.631579,0.970588,0.2,0,0,0.222222,0,0.75,0.857143,0.666667,0.8,0,1,0.769231,0.75] relative_absolute_error 0.553578 relative_absolute_error 0.477176 relative_absolute_error 0.472982 relative_absolute_error 0.488353 relative_absolute_error 0.504642 relative_absolute_error 0.440957 relative_absolute_error 0.529535 relative_absolute_error 0.495696 relative_absolute_error 0.485522 relative_absolute_error 0.481191 relative_absolute_error 0.536078 relative_absolute_error 0.461846 relative_absolute_error 0.555238 relative_absolute_error 0.547266 relative_absolute_error 0.563687 relative_absolute_error 0.437005 relative_absolute_error 0.461144 relative_absolute_error 0.51224 relative_absolute_error 0.522866 relative_absolute_error 0.55495 relative_absolute_error 0.498258 relative_absolute_error 0.491982 relative_absolute_error 0.472401 relative_absolute_error 0.533603 relative_absolute_error 0.533283 relative_absolute_error 0.544739 relative_absolute_error 0.56753 relative_absolute_error 0.531959 relative_absolute_error 0.484585 relative_absolute_error 0.522637 relative_absolute_error 0.536516 relative_absolute_error 0.547248 relative_absolute_error 0.518577 relative_absolute_error 0.492152 relative_absolute_error 0.430265 relative_absolute_error 0.471677 relative_absolute_error 0.495708 relative_absolute_error 0.497901 relative_absolute_error 0.507318 relative_absolute_error 0.556814 relative_absolute_error 0.521218 relative_absolute_error 0.532035 relative_absolute_error 0.488152 relative_absolute_error 0.521831 relative_absolute_error 0.503286 relative_absolute_error 0.534416 relative_absolute_error 0.546306 relative_absolute_error 0.471229 relative_absolute_error 0.460585 relative_absolute_error 0.537237 relative_absolute_error 0.522693 relative_absolute_error 0.532966 relative_absolute_error 0.507923 relative_absolute_error 0.465893 relative_absolute_error 0.461962 relative_absolute_error 0.508797 relative_absolute_error 0.524575 relative_absolute_error 0.515259 relative_absolute_error 0.505776 relative_absolute_error 0.500402 relative_absolute_error 0.514651 relative_absolute_error 0.543608 relative_absolute_error 0.485939 relative_absolute_error 0.538633 relative_absolute_error 0.488633 relative_absolute_error 0.540983 relative_absolute_error 0.509754 relative_absolute_error 0.508917 relative_absolute_error 0.524549 relative_absolute_error 0.513093 relative_absolute_error 0.539928 relative_absolute_error 0.494295 relative_absolute_error 0.486148 relative_absolute_error 0.555369 relative_absolute_error 0.570413 relative_absolute_error 0.522925 relative_absolute_error 0.547045 relative_absolute_error 0.548542 relative_absolute_error 0.497016 relative_absolute_error 0.523318 relative_absolute_error 0.554078 relative_absolute_error 0.502422 relative_absolute_error 0.513117 relative_absolute_error 0.574078 relative_absolute_error 0.582676 relative_absolute_error 0.485386 relative_absolute_error 0.53275 relative_absolute_error 0.517573 relative_absolute_error 0.459533 relative_absolute_error 0.497174 relative_absolute_error 0.503719 relative_absolute_error 0.566739 relative_absolute_error 0.582339 relative_absolute_error 0.505285 relative_absolute_error 0.553105 relative_absolute_error 0.538969 relative_absolute_error 0.50027 relative_absolute_error 0.543746 relative_absolute_error 0.515964 relative_absolute_error 0.496415 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211835 root_mean_prior_squared_error 0.212094 root_mean_prior_squared_error 0.211863 root_mean_prior_squared_error 0.212074 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211932 root_mean_prior_squared_error 0.211873 root_mean_prior_squared_error 0.211798 root_mean_prior_squared_error 0.212038 root_mean_prior_squared_error 0.21169 root_mean_prior_squared_error 0.211915 root_mean_prior_squared_error 0.212004 root_mean_prior_squared_error 0.211587 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.21191 root_mean_prior_squared_error 0.211977 root_mean_prior_squared_error 0.211855 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.211927 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211837 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211925 root_mean_prior_squared_error 0.211891 root_mean_prior_squared_error 0.211992 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211829 root_mean_prior_squared_error 0.211815 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.21185 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.211926 root_mean_prior_squared_error 0.211923 root_mean_prior_squared_error 0.211988 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212113 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.2119 root_mean_prior_squared_error 0.211909 root_mean_prior_squared_error 0.211941 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.211931 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212066 root_mean_prior_squared_error 0.211813 root_mean_prior_squared_error 0.211983 root_mean_prior_squared_error 0.211861 root_mean_prior_squared_error 0.211884 root_mean_prior_squared_error 0.212065 root_mean_prior_squared_error 0.21189 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.212034 root_mean_prior_squared_error 0.212031 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.212062 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212021 root_mean_prior_squared_error 0.211955 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211893 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.211919 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211832 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212046 root_mean_prior_squared_error 0.212109 root_mean_prior_squared_error 0.212169 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.21218 root_mean_prior_squared_error 0.21207 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212149 root_mean_prior_squared_error 0.211999 root_mean_prior_squared_error 0.21186 root_mean_prior_squared_error 0.21206 root_mean_prior_squared_error 0.211763 root_mean_prior_squared_error 0.212175 root_mean_squared_error 0.163438 root_mean_squared_error 0.1577 root_mean_squared_error 0.15335 root_mean_squared_error 0.152941 root_mean_squared_error 0.165713 root_mean_squared_error 0.146632 root_mean_squared_error 0.167562 root_mean_squared_error 0.159649 root_mean_squared_error 0.154255 root_mean_squared_error 0.153925 root_mean_squared_error 0.164755 root_mean_squared_error 0.15255 root_mean_squared_error 0.171831 root_mean_squared_error 0.167292 root_mean_squared_error 0.171351 root_mean_squared_error 0.142147 root_mean_squared_error 0.154247 root_mean_squared_error 0.164499 root_mean_squared_error 0.162624 root_mean_squared_error 0.16545 root_mean_squared_error 0.15635 root_mean_squared_error 0.156642 root_mean_squared_error 0.154365 root_mean_squared_error 0.170262 root_mean_squared_error 0.164437 root_mean_squared_error 0.165428 root_mean_squared_error 0.17404 root_mean_squared_error 0.16167 root_mean_squared_error 0.156349 root_mean_squared_error 0.16333 root_mean_squared_error 0.170291 root_mean_squared_error 0.165293 root_mean_squared_error 0.162026 root_mean_squared_error 0.158889 root_mean_squared_error 0.150282 root_mean_squared_error 0.15275 root_mean_squared_error 0.157099 root_mean_squared_error 0.159523 root_mean_squared_error 0.160018 root_mean_squared_error 0.170355 root_mean_squared_error 0.15715 root_mean_squared_error 0.167489 root_mean_squared_error 0.155714 root_mean_squared_error 0.161177 root_mean_squared_error 0.167773 root_mean_squared_error 0.164009 root_mean_squared_error 0.165787 root_mean_squared_error 0.160639 root_mean_squared_error 0.147764 root_mean_squared_error 0.161501 root_mean_squared_error 0.157355 root_mean_squared_error 0.165064 root_mean_squared_error 0.15862 root_mean_squared_error 0.156835 root_mean_squared_error 0.153043 root_mean_squared_error 0.165365 root_mean_squared_error 0.162683 root_mean_squared_error 0.159945 root_mean_squared_error 0.163245 root_mean_squared_error 0.162783 root_mean_squared_error 0.159163 root_mean_squared_error 0.168936 root_mean_squared_error 0.158945 root_mean_squared_error 0.164001 root_mean_squared_error 0.157411 root_mean_squared_error 0.169612 root_mean_squared_error 0.1632 root_mean_squared_error 0.165512 root_mean_squared_error 0.156612 root_mean_squared_error 0.163843 root_mean_squared_error 0.169354 root_mean_squared_error 0.15308 root_mean_squared_error 0.158417 root_mean_squared_error 0.172201 root_mean_squared_error 0.170868 root_mean_squared_error 0.165542 root_mean_squared_error 0.171117 root_mean_squared_error 0.167104 root_mean_squared_error 0.160125 root_mean_squared_error 0.162893 root_mean_squared_error 0.169785 root_mean_squared_error 0.15672 root_mean_squared_error 0.166901 root_mean_squared_error 0.174208 root_mean_squared_error 0.172319 root_mean_squared_error 0.155176 root_mean_squared_error 0.162531 root_mean_squared_error 0.163139 root_mean_squared_error 0.157412 root_mean_squared_error 0.160817 root_mean_squared_error 0.154628 root_mean_squared_error 0.171992 root_mean_squared_error 0.170104 root_mean_squared_error 0.160622 root_mean_squared_error 0.170146 root_mean_squared_error 0.171344 root_mean_squared_error 0.152002 root_mean_squared_error 0.165585 root_mean_squared_error 0.166821 root_mean_squared_error 0.155435 root_relative_squared_error 0.771038 root_relative_squared_error 0.744447 root_relative_squared_error 0.723026 root_relative_squared_error 0.721887 root_relative_squared_error 0.781394 root_relative_squared_error 0.691747 root_relative_squared_error 0.79064 root_relative_squared_error 0.753514 root_relative_squared_error 0.728312 root_relative_squared_error 0.725932 root_relative_squared_error 0.778285 root_relative_squared_error 0.719865 root_relative_squared_error 0.810508 root_relative_squared_error 0.790654 root_relative_squared_error 0.808599 root_relative_squared_error 0.670789 root_relative_squared_error 0.727658 root_relative_squared_error 0.776472 root_relative_squared_error 0.767551 root_relative_squared_error 0.780775 root_relative_squared_error 0.737755 root_relative_squared_error 0.738977 root_relative_squared_error 0.728474 root_relative_squared_error 0.803683 root_relative_squared_error 0.775972 root_relative_squared_error 0.780492 root_relative_squared_error 0.820651 root_relative_squared_error 0.76318 root_relative_squared_error 0.737932 root_relative_squared_error 0.770698 root_relative_squared_error 0.803672 root_relative_squared_error 0.779714 root_relative_squared_error 0.76463 root_relative_squared_error 0.75 root_relative_squared_error 0.709449 root_relative_squared_error 0.721148 root_relative_squared_error 0.740766 root_relative_squared_error 0.75256 root_relative_squared_error 0.755174 root_relative_squared_error 0.80413 root_relative_squared_error 0.741475 root_relative_squared_error 0.790318 root_relative_squared_error 0.734765 root_relative_squared_error 0.76031 root_relative_squared_error 0.79189 root_relative_squared_error 0.773216 root_relative_squared_error 0.781733 root_relative_squared_error 0.757827 root_relative_squared_error 0.697329 root_relative_squared_error 0.762124 root_relative_squared_error 0.742448 root_relative_squared_error 0.778987 root_relative_squared_error 0.748452 root_relative_squared_error 0.739881 root_relative_squared_error 0.722361 root_relative_squared_error 0.779779 root_relative_squared_error 0.768051 root_relative_squared_error 0.754517 root_relative_squared_error 0.77053 root_relative_squared_error 0.768265 root_relative_squared_error 0.750542 root_relative_squared_error 0.797282 root_relative_squared_error 0.750079 root_relative_squared_error 0.77331 root_relative_squared_error 0.742386 root_relative_squared_error 0.799942 root_relative_squared_error 0.769987 root_relative_squared_error 0.780491 root_relative_squared_error 0.737751 root_relative_squared_error 0.77295 root_relative_squared_error 0.798522 root_relative_squared_error 0.722003 root_relative_squared_error 0.747406 root_relative_squared_error 0.811599 root_relative_squared_error 0.806388 root_relative_squared_error 0.781219 root_relative_squared_error 0.807338 root_relative_squared_error 0.788526 root_relative_squared_error 0.7543 root_relative_squared_error 0.768973 root_relative_squared_error 0.800555 root_relative_squared_error 0.739085 root_relative_squared_error 0.786866 root_relative_squared_error 0.821082 root_relative_squared_error 0.812306 root_relative_squared_error 0.732297 root_relative_squared_error 0.766826 root_relative_squared_error 0.769046 root_relative_squared_error 0.74203 root_relative_squared_error 0.757927 root_relative_squared_error 0.729137 root_relative_squared_error 0.810612 root_relative_squared_error 0.802594 root_relative_squared_error 0.757183 root_relative_squared_error 0.802012 root_relative_squared_error 0.808233 root_relative_squared_error 0.717466 root_relative_squared_error 0.780843 root_relative_squared_error 0.787771 root_relative_squared_error 0.732583 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 44160 usercpu_time_millis 40730 usercpu_time_millis 41540 usercpu_time_millis 42210 usercpu_time_millis 42850 usercpu_time_millis 41830 usercpu_time_millis 41790 usercpu_time_millis 41820 usercpu_time_millis 43870 usercpu_time_millis 42510 usercpu_time_millis 42810 usercpu_time_millis 41910 usercpu_time_millis 41810 usercpu_time_millis 42550 usercpu_time_millis 41190 usercpu_time_millis 42390 usercpu_time_millis 42430 usercpu_time_millis 42100 usercpu_time_millis 42130 usercpu_time_millis 41730 usercpu_time_millis 40940 usercpu_time_millis 43860 usercpu_time_millis 42400 usercpu_time_millis 40230 usercpu_time_millis 43020 usercpu_time_millis 41420 usercpu_time_millis 42660 usercpu_time_millis 41900 usercpu_time_millis 40280 usercpu_time_millis 41950 usercpu_time_millis 41690 usercpu_time_millis 41740 usercpu_time_millis 40840 usercpu_time_millis 40060 usercpu_time_millis 40300 usercpu_time_millis 40510 usercpu_time_millis 43050 usercpu_time_millis 42040 usercpu_time_millis 41270 usercpu_time_millis 40880 usercpu_time_millis 42250 usercpu_time_millis 41100 usercpu_time_millis 41820 usercpu_time_millis 41760 usercpu_time_millis 42830 usercpu_time_millis 40390 usercpu_time_millis 45070 usercpu_time_millis 43850 usercpu_time_millis 42740 usercpu_time_millis 39440 usercpu_time_millis 40550 usercpu_time_millis 41830 usercpu_time_millis 42540 usercpu_time_millis 42710 usercpu_time_millis 42900 usercpu_time_millis 42430 usercpu_time_millis 41960 usercpu_time_millis 41380 usercpu_time_millis 43030 usercpu_time_millis 40230 usercpu_time_millis 43700 usercpu_time_millis 40800 usercpu_time_millis 40590 usercpu_time_millis 40920 usercpu_time_millis 43370 usercpu_time_millis 43010 usercpu_time_millis 42070 usercpu_time_millis 42300 usercpu_time_millis 41010 usercpu_time_millis 43080 usercpu_time_millis 40540 usercpu_time_millis 42470 usercpu_time_millis 43850 usercpu_time_millis 42140 usercpu_time_millis 39780 usercpu_time_millis 41920 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