279857 2 Joaquin Vanschoren 4238 Supervised Classification predictive_accuracy 1076 weka.SimpleCart(3) 1846 weka.classifiers.trees.SimpleCart -- -M 2.0 -N 5 -C 1.0 -S 1 M 2.0 1076 N 5 1076 C 1.0 1076 S 1 1076 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 940228 description https://api.openml.org/data/download/940228/weka_generated_run3487868408165830961.xml -1 940231 model_readable https://api.openml.org/data/download/940231/WekaModel_weka.classifiers.trees.SimpleCart5730538000134777273.model -1 940230 model_serialized https://api.openml.org/data/download/940230/WekaSerialized_weka.classifiers.trees.SimpleCart8100924724821171687.model -1 940229 predictions https://api.openml.org/data/download/940229/weka_generated_predictions4570178572536142660.arff area_under_roc_curve 0.871815 [0.576175,0.996286,0.726386,0.741718,0.572819,0.868863,0.968323,0.66778,0.619487,0.710901,0.844517,0.786102,0.783122,0.935145,0.89473,0.978094,0.627936,0.98588,0.821896,0.900226] average_cost 0 f_measure 0.652135 [0.111675,0.946486,0.155606,0.37415,0,0.629439,0.907664,0.174699,0.169811,0,0.503474,0.378284,0.444623,0.829161,0.699889,0.915625,0.094595,0.986301,0.521361,0.777457] kappa 0.628797 kb_relative_information_score 9310.647652 mean_absolute_error 0.040749 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 0.653981 [0.234043,0.927939,0.317757,0.482456,0,0.559793,0.88407,0.258929,0.5625,0,0.490114,0.631579,0.40379,0.795198,0.705357,0.925263,0.388889,1,0.492476,0.78655] predictive_accuracy 0.669808 prior_entropy 3.738083 recall 0.669808 [0.073333,0.965789,0.10303,0.305556,0,0.718878,0.932551,0.131818,0.1,0,0.517582,0.27,0.494643,0.866154,0.694505,0.906186,0.053846,0.972973,0.553846,0.768571] relative_absolute_error 0.453144 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.158953 root_relative_squared_error 0.749898 scimark_benchmark 1335.542437 [806.7718259494214, 971.0028091073175, 515.2312331298533, 1046.4830857247607, 3338.2232329913204] total_cost 0 usercpu_time_millis 414550 usercpu_time_millis_testing 10 usercpu_time_millis_training 414540 area_under_roc_curve 0.865338 [1,1,0.689145,0.77947,0.46129,0.842279,0.972035,0.397351,0.477419,0.483871,0.741781,0.730263,0.895536,0.849952,0.894558,0.993493,0.916129,1,0.849112,0.825708] area_under_roc_curve 0.878873 [0.579545,1,0.54793,0.765563,0.0,0.833077,0.970956,0.461349,0.660714,0.983871,0.93424,0.8125,0.828795,0.886111,0.926027,1,0.325806,1,0.908284,0.720395] area_under_roc_curve 0.868156 [0.324675,1,0.693257,0.788079,0.0,0.850749,0.961186,0.618543,0.633117,0.996774,0.71542,0.65625,0.839955,0.991371,0.884247,0.989726,0.264516,1,0.889457,0.953159] area_under_roc_curve 0.853849 [0.301948,0.9375,0.629934,0.739735,0.480645,0.855515,0.972276,0.546875,0.43871,0.416129,0.907029,0.560855,0.829242,0.887778,0.873973,1,0.435484,1,0.783217,1] area_under_roc_curve 0.886667 [0.599026,0.996644,0.673203,0.882781,0.454839,0.812908,0.971794,0.860265,0.958065,0.993548,0.77089,0.981086,0.812738,1,0.897581,1,1,1,0.81603,0.845395] area_under_roc_curve 0.870738 [0.654221,0.996622,0.578431,0.696689,0.0,0.84136,0.970347,0.556954,0.409677,0.993548,0.759637,0.910362,0.810268,0.916587,0.981481,0.998973,0.429032,1,0.880581,0.692434] area_under_roc_curve 0.8761 [0.282468,0.996622,0.813322,0.800662,0.0,0.855147,0.955882,0.653783,1,0.419355,0.84127,0.746711,0.741964,0.993289,0.885959,0.989384,0.396774,1,0.943787,0.859375] area_under_roc_curve 0.893957 [0.980519,0.995777,0.868192,0.819205,0.0,0.89614,0.989031,0.640625,0.696429,0.809677,0.924792,0.811678,0.774439,0.999041,0.976568,0.938356,0.267742,0.833333,0.807961,0.835526] area_under_roc_curve 0.900233 [0.909677,0.999155,0.905229,0.545033,0.0,0.981985,0.994937,0.850329,0.383117,0.458065,0.849315,0.948191,0.776767,0.924736,0.829932,1,0.335484,1,0.944325,0.651416] area_under_roc_curve 0.86813 [0.287097,0.995355,0.849673,0.640556,0.0,0.88398,0.991321,0.570724,0.719156,0.464516,0.79743,0.716283,0.721752,1,0.911565,1,0.340909,1,0.838623,1] area_under_roc_curve 0.88007 [0.329032,1,0.898026,0.50596,0.0,0.857353,0.959386,0.697368,0.626623,0.993548,0.785336,0.805099,0.822321,0.907478,0.989418,1,0.432258,1,0.845078,0.989309] area_under_roc_curve 0.879637 [0.36129,1,0.606754,0.911921,0.416129,0.924816,0.983727,0.86102,0.650974,0.425806,0.902397,0.660362,0.721329,0.892778,0.835601,1,0.383871,1,0.827864,1] area_under_roc_curve 0.829147 [0.948387,0.9375,0.552288,0.698675,0.0,0.854783,0.949253,0.711349,0.457792,0.487013,0.69726,0.606086,0.671392,0.981667,0.846183,0.994521,0.887097,0.875,0.765734,0.973684] area_under_roc_curve 0.878402 [0.576299,1,0.808279,0.802649,0.0,0.915625,0.946399,0.585526,0.241935,0.878247,0.827664,0.804276,0.697419,0.89837,0.95805,0.987671,0.812903,1,0.908822,0.908497] area_under_roc_curve 0.837417 [0.33871,0.996644,0.739651,0.658278,0.477419,0.894118,0.991442,0.810596,0.386364,0.983871,0.871504,0.746711,0.556284,0.913231,0.925926,0.989041,0.364516,1,0.682625,0.59695] area_under_roc_curve 0.878654 [0.959416,1,0.507625,0.780132,0.0,0.944853,0.952387,0.580592,0.642857,0.441935,0.70446,0.71875,0.916208,0.900767,0.919501,0.992466,0.409677,0.875,0.789941,0.981086] area_under_roc_curve 0.884441 [0.392857,1,0.588816,0.822517,0.0,0.9375,0.94636,0.596689,0.454839,0.483871,0.772109,0.864309,0.827455,0.998082,0.991686,0.89589,0.980645,1,0.874933,1] area_under_roc_curve 0.86886 [0.673701,1,0.544662,0.735099,0.0,0.895588,0.942502,0.470395,0.967742,0.996774,0.747921,0.960526,0.695303,0.985618,0.982237,0.944521,0.896774,1,0.818989,0.990132] area_under_roc_curve 0.878961 [0.845161,0.993243,0.800987,0.756291,0.0,0.881066,0.971794,0.664901,0.448052,0.909677,0.791761,0.864309,0.839822,1,0.81746,0.942466,0.329032,0.875,0.899408,0.795207] area_under_roc_curve 0.887779 [0.402597,1,0.748366,0.753889,0.0,0.833272,0.985415,0.764803,0.988636,0.464516,0.884732,0.856908,0.772958,0.996667,0.930461,0.996918,0.633117,0.833333,0.948359,0.766885] area_under_roc_curve 0.886736 [1,0.993243,0.906318,0.78543,0.0,0.818199,0.962512,0.472862,0.418831,0.993506,0.933485,0.822368,0.868388,0.992222,0.908541,0.993493,0.602273,1,0.884077,0.679276] area_under_roc_curve 0.914996 [0.919355,1,0.779605,0.827815,0.458065,0.933824,0.980955,0.792763,0.644481,0.419355,0.875661,0.976974,0.832628,0.999444,0.963719,1,0.390323,1,0.869285,0.972862] area_under_roc_curve 0.881529 [0.316129,0.9375,0.971678,0.768874,0.0,0.884007,0.986258,0.76398,0.383117,1,0.832577,0.926809,0.776555,0.826667,0.835979,0.944863,0.991883,1,0.817644,0.990132] area_under_roc_curve 0.863276 [0.387097,1,0.552288,0.849669,0.0,0.853676,0.935029,0.504112,0.428571,0.467742,0.880574,0.877467,0.849767,0.99233,0.764928,0.996575,0.870968,1,0.742873,0.991776] area_under_roc_curve 0.863915 [0.403226,0.996644,0.530501,0.718543,0.996774,0.887684,0.940333,0.462252,0.659091,0.458065,0.876039,0.780428,0.72154,0.999521,0.83031,0.996233,0.951613,1,0.903981,0.996732] area_under_roc_curve 0.881801 [0.667208,1,0.930921,0.577778,0.0,0.847059,0.983365,0.587171,0.61039,0.43871,0.921769,0.945724,0.805967,0.817833,0.953137,0.989796,0.380645,1,0.91447,0.797386] area_under_roc_curve 0.869456 [0.655844,1,0.558824,0.754967,0.0,0.912793,1,0.538411,0.707792,0.451613,0.873016,0.648849,0.70821,0.915628,0.965986,0.933485,0.290323,1,0.831361,0.96875] area_under_roc_curve 0.885807 [0.550325,1,0.948802,0.696667,0.0,0.918382,0.961066,0.602796,0.341935,0.983871,0.733938,0.780428,0.839399,0.903643,0.854875,0.995548,0.464516,1,0.913663,0.988017] area_under_roc_curve 0.875935 [0.219355,1,0.685033,0.965563,0.0,0.859191,0.964079,0.770199,0.626623,0.993548,0.758881,0.595395,0.808295,0.878889,0.812547,1,0.832258,1,0.879774,0.996732] area_under_roc_curve 0.875688 [0.823052,1,0.875,0.962252,0.0,0.878309,0.974566,0.784539,0.577922,1,0.808012,0.645559,0.796445,0.995556,0.914588,0.99863,0.660714,1,0.596019,1] area_under_roc_curve 0.903488 [0.970968,1,0.837691,0.917222,0.0,0.86011,0.966851,0.784539,0.678571,0.880645,0.879819,0.837171,0.798984,1,0.961644,0.938776,0.644481,1,0.87036,0.996711] area_under_roc_curve 0.885162 [0.341935,0.995686,0.705592,0.784444,0.96129,0.921875,0.952869,0.782072,0.711039,0.380645,0.76833,0.961349,0.852941,1,0.913832,0.973545,0.848387,1,0.727811,0.990132] area_under_roc_curve 0.857515 [0.364516,0.993243,0.493464,0.635099,0.0,0.961949,0.959378,0.519737,0.701299,1,0.809524,0.915296,0.739314,0.998889,0.826153,0.989041,0.331169,1,0.785637,0.689145] area_under_roc_curve 0.88937 [0.309677,1,0.770153,0.841722,0.0,0.859743,0.992768,0.65625,0.659091,0.980645,0.961073,0.853618,0.828819,0.922819,0.848073,1,0.354839,1,0.728349,0.992599] area_under_roc_curve 0.875971 [0.922581,0.978885,0.908717,0.80596,0.0,0.844301,0.952869,0.569901,0.660714,0.458065,0.928571,0.760691,0.805967,0.993889,0.792123,0.991438,0.864516,1,0.844002,0.717865] area_under_roc_curve 0.904025 [0.628247,0.996644,0.666118,0.783889,0.0,0.955244,0.990201,0.574836,0.974026,0.812903,0.950491,0.82977,0.82755,1,0.902872,0.986395,0.33871,1,0.790479,1] area_under_roc_curve 0.862488 [0.595779,0.996622,0.642702,0.649007,0.0,0.953131,0.940212,0.645695,0.933442,0.887097,0.857521,0.785362,0.761532,0.798178,0.859788,0.996599,0.929032,1,0.799892,0.680921] area_under_roc_curve 0.849605 [0.285714,0.981783,0.764803,0.706667,0.0,0.835294,0.929484,0.905298,0.327922,0.803226,0.798564,0.909539,0.731485,0.981667,0.886621,0.993953,0.309677,1,0.778913,0.996732] area_under_roc_curve 0.871418 [0.646104,1,0.686678,0.606623,0.0,0.900919,0.955039,0.823841,0.431818,0.409677,0.897203,0.705592,0.730639,0.985556,0.90514,0.934247,0.403226,1,0.912587,1] area_under_roc_curve 0.873762 [0.548701,0.996622,0.600329,0.695364,0.0,0.86489,0.953592,0.710526,0.438312,1,0.958806,0.888158,0.635209,1,0.920548,0.997603,0.345161,1,0.954814,1] area_under_roc_curve 0.872888 [0.964516,1,0.388889,0.786111,0.0,0.903676,0.958896,0.652138,0.675325,1,0.943689,0.849507,0.745451,0.817778,0.897959,0.989418,0.693182,1,0.801775,0.855263] area_under_roc_curve 0.888978 [0.264516,0.996644,0.810033,0.611667,0.958065,0.926471,0.971914,0.650993,0.709416,0.458065,0.933485,0.995066,0.850825,1,0.847317,0.997945,0.358065,1,0.773534,1] area_under_roc_curve 0.884501 [0.277419,1,0.98366,0.724444,0.0,0.906618,0.959619,0.54523,0.431818,1,0.89607,0.777138,0.780152,0.999444,0.916856,0.939726,0.965909,1,0.856105,0.865132] area_under_roc_curve 0.885323 [0.351613,0.996199,0.733115,0.623333,0.0,0.963312,0.996143,0.738487,0.344156,1,0.6678,0.804276,0.834109,0.92186,0.792139,0.993151,0.422581,1,0.899408,1] area_under_roc_curve 0.859605 [0.267742,1,0.639803,0.683333,0.0,0.928676,0.946601,0.728618,0.308442,0.993548,0.793273,0.432566,0.808083,0.879444,0.949358,0.943836,0.903226,1,0.874664,0.582789] area_under_roc_curve 0.856928 [0.306452,1,0.677632,0.671111,0.467742,0.94564,0.969503,0.424342,0.334416,0.451613,0.794178,0.849507,0.790309,0.996667,0.745276,0.936508,0.894481,1,0.826251,1] area_under_roc_curve 0.85798 [0.641234,1,0.683007,0.474834,0.0,0.90146,0.942261,0.612583,0.311688,0.996774,0.76644,0.907895,0.768515,0.897891,0.95616,0.990174,0.86129,1,0.821678,0.837993] area_under_roc_curve 0.868094 [0.592532,1,0.921875,0.936111,0.0,0.877941,0.966128,0.856954,0.511364,0.387097,0.831444,0.805099,0.732332,0.811111,0.752457,1,0.983871,1,0.823561,0.783224] area_under_roc_curve 0.882807 [0.662338,1,0.346405,0.837748,0.0,0.83511,0.986861,0.689404,0.419355,0.654221,0.896447,0.679276,0.874947,0.999444,0.921391,0.997603,0.893548,1,0.857988,0.690789] area_under_roc_curve 0.843895 [0.288961,0.999578,0.631579,0.683444,0.0,0.815074,0.983245,0.672697,0.387097,0.474026,0.757748,0.788651,0.709691,0.821111,0.81935,0.989041,0.822581,1,0.871436,0.996732] area_under_roc_curve 0.888139 [0.944805,0.987753,0.518519,0.873889,0.0,0.886397,0.979147,0.902961,0.641234,0.983871,0.929327,0.652961,0.742912,0.885,0.907785,0.925926,0.925806,1,0.829747,0.98273] area_under_roc_curve 0.851897 [0.270968,1,0.869281,0.791667,0.451613,0.8125,0.945878,0.72053,0.641234,0.987097,0.786092,0.865954,0.755184,1,0.935752,0.837671,0.290323,1,0.775955,0.993464] area_under_roc_curve 0.884893 [0.332258,0.993289,0.813725,0.833889,0.454839,0.83511,0.959981,0.785362,0.675325,0.996774,0.911565,0.636513,0.800677,1,0.944067,1,0.909677,1,0.791286,0.993421] area_under_roc_curve 0.894055 [0.96129,1,0.947712,0.546111,0.0,0.875912,0.966369,0.916941,0.954545,0.445161,0.956164,0.845395,0.819509,0.991371,0.839758,0.939384,0.967742,1,0.878429,0.679276] area_under_roc_curve 0.875716 [0.312903,0.996199,0.648026,0.910556,0.0,0.849816,0.992406,0.580592,0.357143,0.987097,0.787604,0.615954,0.795176,0.984444,0.953515,0.892466,1,1,0.849112,0.996732] area_under_roc_curve 0.867562 [0.345161,0.996622,0.923747,0.783889,0.490323,0.788705,0.914417,0.631579,0.435065,0.46129,0.959184,0.862664,0.762378,0.999444,0.928571,0.993836,0.681818,1,0.879505,0.996732] area_under_roc_curve 0.870958 [0.4,1,0.556645,0.798889,0.46129,0.928928,0.978158,0.546875,1,0.751613,0.863568,0.792763,0.696995,0.99,0.893424,0.993836,0.887987,1,0.755514,0.803922] area_under_roc_curve 0.881467 [0.316129,0.993289,0.588816,0.866667,0.467742,0.890809,0.981075,0.818543,0.412338,0.993548,0.773243,0.743421,0.794541,0.988333,0.970144,0.998866,0.341935,1,0.82383,0.996732] area_under_roc_curve 0.84045 [0.347403,0.995777,0.923747,0.79404,1,0.694118,0.953351,0.587993,0.96129,0.441935,0.726002,0.676809,0.897376,0.882778,0.87363,0.989384,0.458065,1,0.715976,0.866776] area_under_roc_curve 0.882713 [0.301948,0.984797,0.700436,0.865563,0.916129,0.857721,0.959499,0.597862,0.377419,0.993548,0.87226,0.973684,0.84215,0.99185,0.975435,1,0.325806,1,0.805272,0.586057] area_under_roc_curve 0.883701 [0.625,0.993243,0.563181,0.817222,0.477419,0.863235,0.966249,0.889803,0.555195,0.441935,0.922902,0.814145,0.878544,0.992222,0.898715,0.99589,0.345161,0.875,0.760893,0.996732] area_under_roc_curve 0.832719 [0.37013,0.999041,0.75817,0.651111,0.0,0.767463,0.97312,0.57947,0.448387,0.487097,0.743386,0.833882,0.752857,0.90652,0.963719,0.89726,0.712662,1,0.729962,0.996732] area_under_roc_curve 0.873633 [0.652597,0.996644,0.781046,0.626667,0.487097,0.878493,0.953592,0.657895,1,0.480645,0.838624,0.664474,0.813584,0.996644,0.820106,1,0.445161,1,0.931953,0.785403] area_under_roc_curve 0.857456 [0.325806,0.983701,0.586057,0.848333,0.487097,0.851902,0.950579,0.53245,0.321429,0.990323,0.891912,0.763158,0.750106,0.895,0.911565,0.99863,0.958065,1,0.793706,0.936678] area_under_roc_curve 0.887433 [0.957792,0.999578,0.729847,0.591667,0.0,0.899449,0.987102,0.509868,0.672078,0.649351,0.90325,0.820724,0.893527,0.903889,0.852608,0.997603,0.922581,1,0.759548,0.994243] area_under_roc_curve 0.860193 [0.73871,0.996622,0.962963,0.794702,0.980645,0.931233,0.935632,0.711349,0.652597,0.990323,0.969388,0.464638,0.692975,0.887222,0.800342,0.947603,0.305195,1,0.869554,0.636166] area_under_roc_curve 0.877479 [0.877419,0.993289,0.527233,0.560556,0.425806,0.907537,0.958534,0.768914,0.61526,0.993548,0.92328,0.913651,0.81041,0.878333,0.936886,0.989384,0.616883,0.875,0.814147,0.996732] area_under_roc_curve 0.862938 [1,1,0.746187,0.57351,0.441935,0.88033,0.954436,0.66755,0.37987,0.480645,0.964041,0.421053,0.845747,0.988889,0.898715,0.938699,0.657468,1,0.807961,0.795207] area_under_roc_curve 0.871673 [0.543831,1,0.539216,0.774444,0.435484,0.896274,0.975169,0.715461,0.568182,0.912903,0.889267,0.802632,0.768973,0.993289,0.966364,0.937642,0.577922,1,0.768693,0.835526] area_under_roc_curve 0.878811 [1,0.996644,0.87037,0.839735,0.477419,0.82886,0.95986,0.528477,0.650974,0.406452,0.858277,0.845395,0.864791,0.752637,0.891534,0.93613,0.383871,1,0.953201,0.991776] area_under_roc_curve 0.884742 [0.347403,0.996644,0.942266,0.400662,0.464516,0.940069,0.980593,0.824503,0.961039,0.370968,0.906274,0.686678,0.822683,0.899329,0.932351,1,0.825806,1,0.772727,0.996732] area_under_roc_curve 0.897612 [0.573052,1,0.664488,0.807285,0.0,0.903573,0.955641,0.954967,0.874194,1,0.903628,0.840461,0.804063,0.895014,0.989418,0.984932,0.663961,1,0.776224,0.980392] area_under_roc_curve 0.89335 [0.272727,1,0.739651,0.852778,0.454839,0.915441,0.961668,0.846358,0.925806,0.980645,0.902116,0.991776,0.782691,0.918984,0.867347,0.994331,0.348387,1,0.842657,1] area_under_roc_curve 0.8678 [0.61526,0.993289,0.744009,0.866111,0.464516,0.944103,0.988067,0.809272,0.670455,0.445161,0.729781,0.76398,0.673931,0.994444,0.83031,0.923658,0.631494,0.875,0.92227,0.783224] area_under_roc_curve 0.849868 [0.63961,1,0.6122,0.549444,0.0,0.902612,0.971192,0.809211,0.425325,0.480645,0.716175,0.913651,0.807366,0.902222,0.658352,0.991781,0.650974,1,0.760086,1] area_under_roc_curve 0.86522 [0.948387,0.997466,0.618736,0.845033,0.96129,0.901654,0.973722,0.636424,0.412338,0.390323,0.746788,0.710526,0.823106,1,0.826909,0.942123,0.996774,1,0.698225,0.993421] area_under_roc_curve 0.853392 [0.958065,0.999041,0.770153,0.723333,0.448387,0.790074,0.931654,0.711349,0.61526,0.980645,0.874906,0.848684,0.606009,0.894444,0.978836,0.991438,0.673701,1,0.888112,0.996732] area_under_roc_curve 0.886992 [0.23871,1,0.856209,0.800662,0.493548,0.927007,0.978394,0.721217,0.988636,0.916129,0.754724,0.824013,0.816071,0.998889,0.903628,0.99863,0.608766,1,0.699032,0.967105] area_under_roc_curve 0.894804 [0.922078,0.996644,0.937908,0.837222,0.987097,0.880715,0.988067,0.796875,0.405844,0.996774,0.918745,0.917763,0.647991,1,0.898337,0.997732,0.663961,1,0.888381,0.842928] area_under_roc_curve 0.837839 [0.951613,0.993289,0.842048,0.766887,0.458065,0.769113,0.9732,0.756291,0.63961,0.425806,0.827664,0.506579,0.770207,0.98418,0.912698,0.964475,0.406452,1,0.584992,0.863487] area_under_roc_curve 0.862048 [0.311688,1,0.697168,0.82649,0.464516,0.876873,0.95528,0.507285,0.904221,0.435484,0.846939,0.436678,0.795599,0.887824,0.84845,1,0.309677,1,0.93787,1] area_under_roc_curve 0.860583 [0.696429,0.995777,0.782135,0.878146,0.0,0.908375,0.939007,0.564967,0.711039,0.454839,0.888133,0.660362,0.707575,0.830777,0.868481,1,0.659091,1,0.834857,0.788671] area_under_roc_curve 0.856629 [0.647727,0.999578,0.760691,0.736424,0.490323,0.798694,0.978664,0.468874,0.415584,0.458065,0.891156,0.822368,0.800677,0.732982,0.996221,0.997354,0.977419,1,0.814954,0.825708] area_under_roc_curve 0.856986 [0.949675,1,0.671875,0.792715,0.43871,0.766176,0.985535,0.703974,0.912338,0.412903,0.882464,0.526316,0.769643,0.971667,0.965986,0.996221,0.587662,1,0.69957,0.996732] area_under_roc_curve 0.880593 [0.644481,1,0.717865,0.827815,0.441935,0.832501,0.997348,0.682566,0.907468,0.403226,0.876039,0.976974,0.716674,0.90652,0.988662,0.980348,0.678571,0.833333,0.829747,0.996711] area_under_roc_curve 0.879249 [0.890323,0.999578,0.388889,1,0.967742,0.909559,0.978062,0.870199,0.605519,0.432258,0.797808,0.990954,0.663352,0.979444,0.834467,0.984247,0.974194,1,0.822754,0.845395] area_under_roc_curve 0.885713 [0.225806,0.985139,0.749455,0.919444,0.941935,0.889522,0.957811,0.806743,0.967532,0.579545,0.836357,0.944079,0.750952,0.901111,0.816327,0.984932,0.316129,1,0.915546,0.924837] area_under_roc_curve 0.887176 [0.351613,0.995355,0.747277,0.701325,0.970968,0.883404,0.97324,0.410362,0.685065,0.993548,0.964097,0.852796,0.78058,0.903643,0.931164,0.937329,0.672078,1,0.933029,0.856086] area_under_roc_curve 0.847386 [1,1,0.762527,0.595556,0.496774,0.79927,0.960704,0.794408,0.678571,0.983871,0.740363,0.762336,0.849132,0.899808,0.956916,1,0.694805,1,0.539806,1] area_under_roc_curve 0.894839 [1,1,0.680828,0.752778,0.448387,0.893968,0.98216,0.856291,0.590909,0.987097,0.903425,0.847862,0.766964,0.996165,0.929327,1,0.277419,1,0.806616,0.990132] area_under_roc_curve 0.83361 [0.644481,0.999521,0.682566,0.680132,0.480645,0.74952,0.975048,0.425166,0.345161,1,0.888511,0.604441,0.759839,1,0.862434,0.941781,0.967742,1,0.718666,0.820261] area_under_roc_curve 0.860647 [0.506494,1,0.894336,0.736424,0.0,0.64176,0.972878,0.800987,0.944805,0.701299,0.702192,0.919408,0.814063,0.887824,0.862812,0.980137,0.96129,0.875,0.959387,0.844572] area_under_roc_curve 0.855055 [0.428571,1,0.641447,0.738411,0.464516,0.842105,0.9634,0.702649,0.636364,0.46129,0.857143,0.57648,0.801116,0.901726,0.858655,0.993197,0.906452,1,0.821409,0.813725] area_under_roc_curve 0.835185 [0.910714,1,0.665296,0.338411,0.467742,0.838603,0.950217,0.539735,0.698052,0.46129,0.673469,0.749178,0.806473,0.885556,0.975813,1,0.321429,1,0.842926,0.784314] area_under_roc_curve 0.850494 [0.373377,1,0.763617,0.649669,0.493548,0.865156,0.949494,0.501987,1,0.474194,0.85941,0.735197,0.790944,0.990412,0.913454,0.940665,0.396104,1,0.745024,0.993421] area_under_roc_curve 0.864924 [0.383117,0.993243,0.93573,0.853642,0.0,0.793199,0.969744,0.77351,0.406452,0.714286,0.878685,0.90625,0.726786,0.909875,0.756992,1,0.351613,1,0.841044,0.993421] area_under_roc_curve 0.864786 [0.993548,1,0.529605,0.74106,0.477419,0.80386,0.946239,0.629934,0.470779,0.993548,0.863356,0.840461,0.927423,0.997778,0.858277,1,0.441935,1,0.69177,1] area_under_roc_curve 0.866639 [0.341935,1,0.779956,0.725828,0.487097,0.725701,0.974446,0.506579,0.978896,0.467532,0.932351,0.723684,0.851883,0.905561,0.914966,0.998288,0.954839,1,0.790748,1] area_under_roc_curve 0.889829 [0.351613,0.996644,0.713508,0.706111,0.458065,0.939109,0.976505,0.610197,0.667208,0.990323,0.856009,0.931743,0.764917,0.91419,0.976946,0.993151,0.832258,1,0.807154,0.993464] area_under_roc_curve 0.887799 [0.33871,1,0.994553,0.576667,0.483871,0.932962,0.985535,0.784768,0.978896,0.987097,0.85941,0.835526,0.768304,0.842761,0.896447,0.984247,1,1,0.846692,0.735197] 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 0.673865 [0.4,1,0.571429,0.444444,0,0.619048,0.955224,0,0,0,0.375,0.666667,0.555556,0.714286,0.666667,0.952381,0,1,0.540541,0.5] f_measure 0.612373 [0,1,0,0,0,0.6,0.871795,0,0,0,0.555556,0,0.5,0.714286,0.666667,1,0,1,0.413793,0.571429] f_measure 0.60217 [0,1,0,0,0,0.636364,0.861111,0.222222,0,0,0.461538,0,0.434783,0.875,0.631579,0.909091,0,1,0.416667,0.8] f_measure 0.669438 [0,0.933333,0,0.5,0,0.731707,0.916667,0,0,0,0.608696,0,0.578947,0.8,0.666667,0.952381,0,1,0.521739,0.857143] f_measure 0.637566 [0,0.933333,0,0,0,0.478261,0.901408,0.444444,0,0,0.428571,0.666667,0.516129,1,0.666667,1,1,1,0.37037,0.857143] f_measure 0.677278 [0,0.941176,0,0.75,0,0.651163,0.929577,0,0,0,0.470588,0.4,0.421053,0.75,0.8,0.947368,0,1,0.689655,0.571429] f_measure 0.619381 [0,0.941176,0,0.5,0,0.565217,0.888889,0,1,0,0.4,0.333333,0.243902,0.923077,0.7,0.857143,0,1,0.608696,0.571429] f_measure 0.614348 [0,0.875,0,0.444444,0,0.6,0.956522,0,0,0,0.526316,0,0.454545,0.875,0.631579,0.842105,0,0.8,0.333333,0.666667] f_measure 0.707648 [0,0.933333,0.333333,0.333333,0,0.772727,0.944444,0.285714,0,0,0.736842,0,0.390244,0.923077,0.8,1,0,1,0.645161,0.5] f_measure 0.663203 [0,0.875,0,0.5,0,0.666667,0.971429,0.25,0,0,0.545455,0.4,0.4375,0.923077,0.631579,0.952381,0,1,0.357143,0.857143] f_measure 0.664224 [0,1,0,0,0,0.622222,0.916667,0.4,0,0,0.352941,0.666667,0.388889,0.923077,0.857143,1,0,1,0.583333,0.666667] f_measure 0.644638 [0,1,0,0.25,0,0.666667,0.882353,0.25,0,0,0.592593,0,0.5,0.727273,0.615385,1,0,1,0.434783,1] f_measure 0.600456 [0,0.933333,0,0.333333,0,0.604651,0.923077,0,0,0,0.352941,0.333333,0.411765,0.769231,0.666667,0.869565,0,0.857143,0.3125,0.75] f_measure 0.632361 [0,1,0,0.333333,0,0.607143,0.835443,0,0,0,0.4,0.571429,0.451613,0.923077,0.823529,0.857143,0,1,0.47619,0.8] f_measure 0.61126 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f_measure 0.629569 [0,0.888889,0.333333,0.75,0,0.653846,0.90411,0,0,0,0.421053,0,0.5,0.923077,0.7,0.947368,0,1,0.2,1] f_measure 0.682693 [0,0.933333,0,0.545455,0,0.666667,0.925373,0.25,0,0,0.631579,0.5,0.410256,1,0.7,0.941176,0,1,0.56,0.888889] f_measure 0.666318 [0,0.857143,0,0.25,0,0.680851,0.929577,0.285714,0.666667,0,0.705882,0.5,0.45,1,0.705882,0.7,0,1,0.545455,0.75] f_measure 0.612878 [0,0.888889,0,0,0,0.755556,0.929577,0,0,0,0.380952,0.4,0.363636,0.923077,0.666667,0.8,0,1,0.387097,0.5] f_measure 0.692714 [0,0.941176,0.4,0.6,0,0.681818,0.941176,0.2,0,0,0.583333,0.666667,0.470588,0.8,0.666667,1,0,1,0.380952,0.857143] f_measure 0.607659 [0,0.823529,0,0.5,0,0.590909,0.888889,0,0,0,0.421053,0,0.55,0.705882,0.588235,0.9,0,1,0.454545,0.5] f_measure 0.701826 [0,0.933333,0.4,0.461538,0,0.711111,0.956522,0.4,0.666667,0,0.705882,0.4,0.512821,1,0.625,0.818182,0,1,0.384615,1] f_measure 0.589065 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f_measure 0.618918 [0,0.875,0,0.444444,0,0.47619,0.911765,0.25,0,0,0.375,0.333333,0.488889,0.714286,0.7,0.9,0,1,0.5,0.75] f_measure 0.666809 [0,0.875,0,0.333333,0,0.653061,0.888889,0,0,0,0.533333,0.666667,0.526316,0.857143,0.941176,1,0,1,0.4375,0.5] f_measure 0.653224 [0,0.888889,0,0.363636,0,0.608696,0.927536,0.4,0,0,0.333333,0.666667,0.555556,0.857143,0.705882,0.952381,0,0.857143,0.444444,0.857143] f_measure 0.625155 [0,0.923077,0,0.181818,0,0.595745,0.942857,0,0,0,0.222222,0.857143,0.421053,0.8,0.705882,0.888889,0,1,0.538462,0.857143] f_measure 0.692998 [0.5,0.933333,0.5,0.444444,0,0.666667,0.914286,0.571429,1,0,0.434783,0,0.484848,0.933333,0.588235,1,0,1,0.64,0.8] f_measure 0.62611 [0,0.857143,0.4,0.5,0,0.512821,0.876712,0,0,0,0.555556,0.666667,0.342857,0.909091,0.842105,0.947368,0,1,0.378378,0.75] f_measure 0.657456 [0,0.941176,0,0.285714,0,0.711111,0.927536,0,0.666667,0,0.444444,0.333333,0.465116,0.833333,0.666667,0.952381,0,1,0.5,0.857143] f_measure 0.616338 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[0,0.875,0,0.222222,0,0.571429,0.927536,0,0,0,0.421053,0,0.465116,0.75,0.666667,0.823529,0,1,0.230769,0.857143] f_measure 0.643693 [0,1,0.5,0.571429,0,0.555556,0.888889,0.25,0,0,0.588235,0,0.258065,0.8,0.75,1,0,1,0.615385,1] f_measure 0.640483 [0.666667,0.875,0.666667,0.333333,0,0.577778,0.901408,0,0.5,0,0.666667,0.333333,0.37037,0.625,0.588235,0.909091,0,1,0.5,0.8] f_measure 0.637308 [0,0.933333,0,0.2,0,0.615385,0.88,0.2,0,0,0.545455,0,0.545455,0.615385,0.857143,0.941176,0,1,0.666667,0.666667] f_measure 0.623091 [0,1,0.4,0,0,0.6,0.927536,0.307692,0,0,0.533333,0,0.465116,0.714286,0.761905,0.888889,0,1,0.428571,0.857143] f_measure 0.65677 [0,1,0,0.5,0,0.685714,0.955224,0,0,0,0.608696,0.4,0.4,0.8,0.736842,0.818182,0.666667,0.8,0.4375,0.888889] f_measure 0.657633 [0,0.933333,0,0.909091,0,0.608696,0.941176,0.25,0,0,0.352941,0.571429,0.35,0.833333,0.625,0.888889,0,1,0.6,0.857143] f_measure 0.643698 [0,0.923077,0,0.6,0,0.608696,0.901408,0.4,0,0,0.470588,0.5,0.421053,0.769231,0.533333,0.9,0,1,0.625,0.666667] f_measure 0.663558 [0,0.875,0.333333,0.25,0,0.564103,0.929577,0,0,0,0.608696,0.333333,0.484848,0.833333,0.818182,0.9,0,1,0.642857,0.75] f_measure 0.645524 [1,1,0.222222,0.307692,0,0.55,0.941176,0.25,0,0,0.375,0.571429,0.619048,0.631579,0.533333,1,0,1,0.333333,1] f_measure 0.630829 [1,1,0,0,0,0.514286,0.929577,0,0,0,0.666667,0.4,0.375,0.933333,0.727273,1,0,1,0.444444,0.727273] f_measure 0.635471 [0,0.933333,0,0.444444,0,0.533333,0.90411,0.25,0,0,0.454545,0,0.434783,1,0.736842,0.842105,0,1,0.64,0.8] f_measure 0.597997 [0,1,0,0,0,0.5,0.891892,0,0,0,0.352941,0,0.391304,0.833333,0.666667,0.842105,0,0.857143,0.685714,0.857143] f_measure 0.637934 [0,1,0,0.333333,0,0.619048,0.90411,0,0,0,0.4,0.333333,0.545455,0.769231,0.823529,0.941176,0,1,0.470588,0.8] f_measure 0.601201 [0.666667,1,0.4,0,0,0.595745,0.927536,0,0,0,0.380952,0.333333,0.307692,0.727273,0.7,0.9,0,1,0.48,0.571429] f_measure 0.659919 [0,1,0.4,0.571429,0,0.666667,0.901408,0.2,1,0,0.631579,0.5,0.344828,0.75,0.8,0.888889,0,1,0.413793,0.8] f_measure 0.614021 [0,0.888889,0,0.307692,0,0.631579,0.885714,0,0,0,0.555556,0.285714,0.375,0.666667,0.5,1,0,1,0.529412,0.8] f_measure 0.706146 [0.5,1,0,0.666667,0,0.583333,0.923077,0.285714,0,0,0.571429,0.75,0.742857,0.923077,0.714286,1,0,1,0.428571,0.75] f_measure 0.715173 [0,1,0.333333,0.363636,0,0.540541,0.916667,0,0.5,0,0.823529,0.666667,0.615385,0.857143,0.736842,0.947368,0,1,0.666667,1] f_measure 0.681123 [0,0.933333,0,0.25,0,0.731707,0.942857,0.285714,0,0,0.4,0.333333,0.555556,0.8,0.7,0.952381,0,1,0.625,0.75] f_measure 0.643764 [0,1,0,0,0,0.714286,0.929577,0.285714,0.666667,0,0.4,0.4,0.418605,0.615385,0.636364,0.888889,1,1,0.538462,0.666667] kappa 0.648568 kappa 0.607437 kappa 0.594354 kappa 0.654006 kappa 0.61108 kappa 0.668008 kappa 0.58755 kappa 0.602262 kappa 0.688478 kappa 0.641115 kappa 0.639173 kappa 0.63182 kappa 0.557062 kappa 0.619691 kappa 0.580022 kappa 0.660115 kappa 0.719786 kappa 0.604845 kappa 0.682795 kappa 0.616903 kappa 0.619319 kappa 0.670357 kappa 0.668514 kappa 0.567228 kappa 0.610325 kappa 0.636821 kappa 0.639956 kappa 0.660146 kappa 0.592784 kappa 0.630126 kappa 0.655455 kappa 0.646438 kappa 0.60309 kappa 0.670402 kappa 0.595406 kappa 0.683263 kappa 0.571488 kappa 0.618159 kappa 0.61793 kappa 0.640338 kappa 0.639823 kappa 0.662757 kappa 0.655439 kappa 0.711792 kappa 0.615263 kappa 0.625571 kappa 0.617275 kappa 0.594655 kappa 0.682208 kappa 0.581111 kappa 0.660036 kappa 0.615531 kappa 0.618335 kappa 0.683424 kappa 0.624131 kappa 0.670296 kappa 0.640785 kappa 0.617488 kappa 0.589777 kappa 0.651413 kappa 0.640072 kappa 0.596191 kappa 0.669385 kappa 0.595724 kappa 0.646488 kappa 0.60169 kappa 0.625848 kappa 0.636031 kappa 0.598493 kappa 0.633651 kappa 0.625398 kappa 0.618053 kappa 0.627189 kappa 0.611905 kappa 0.625017 kappa 0.586841 kappa 0.556025 kappa 0.65298 kappa 0.63284 kappa 0.560786 kappa 0.62394 kappa 0.6196 kappa 0.625104 kappa 0.611922 kappa 0.636729 kappa 0.625433 kappa 0.624009 kappa 0.648066 kappa 0.621394 kappa 0.626897 kappa 0.611403 kappa 0.579691 kappa 0.617045 kappa 0.581924 kappa 0.634845 kappa 0.5984 kappa 0.684863 kappa 0.691302 kappa 0.676229 kappa 0.624653 kb_relative_information_score 95.633661 kb_relative_information_score 89.045049 kb_relative_information_score 88.853941 kb_relative_information_score 93.874888 kb_relative_information_score 94.267583 kb_relative_information_score 96.772374 kb_relative_information_score 87.839718 kb_relative_information_score 90.714509 kb_relative_information_score 99.482099 kb_relative_information_score 93.52214 kb_relative_information_score 95.962589 kb_relative_information_score 92.693185 kb_relative_information_score 83.156738 kb_relative_information_score 86.271351 kb_relative_information_score 86.70654 kb_relative_information_score 95.718405 kb_relative_information_score 107.522248 kb_relative_information_score 92.257838 kb_relative_information_score 97.725301 kb_relative_information_score 93.228933 kb_relative_information_score 93.9165 kb_relative_information_score 99.235534 kb_relative_information_score 99.487938 kb_relative_information_score 85.939127 kb_relative_information_score 91.640981 kb_relative_information_score 94.43318 kb_relative_information_score 93.356582 kb_relative_information_score 97.990219 kb_relative_information_score 87.308092 kb_relative_information_score 93.610795 kb_relative_information_score 98.180735 kb_relative_information_score 96.434448 kb_relative_information_score 87.586829 kb_relative_information_score 101.539507 kb_relative_information_score 88.565646 kb_relative_information_score 99.497513 kb_relative_information_score 83.161526 kb_relative_information_score 88.943433 kb_relative_information_score 92.79753 kb_relative_information_score 95.569515 kb_relative_information_score 98.19242 kb_relative_information_score 98.577916 kb_relative_information_score 97.952527 kb_relative_information_score 101.487921 kb_relative_information_score 87.478457 kb_relative_information_score 91.013613 kb_relative_information_score 91.323741 kb_relative_information_score 88.483523 kb_relative_information_score 98.359576 kb_relative_information_score 83.877476 kb_relative_information_score 95.48954 kb_relative_information_score 91.107249 kb_relative_information_score 94.147356 kb_relative_information_score 101.673897 kb_relative_information_score 93.275796 kb_relative_information_score 100.343224 kb_relative_information_score 93.56805 kb_relative_information_score 91.478047 kb_relative_information_score 88.801275 kb_relative_information_score 94.292454 kb_relative_information_score 91.994073 kb_relative_information_score 89.461021 kb_relative_information_score 99.467135 kb_relative_information_score 89.885532 kb_relative_information_score 95.255627 kb_relative_information_score 89.580678 kb_relative_information_score 91.591182 kb_relative_information_score 94.297509 kb_relative_information_score 85.18961 kb_relative_information_score 95.468177 kb_relative_information_score 91.326336 kb_relative_information_score 92.338809 kb_relative_information_score 95.577297 kb_relative_information_score 87.60634 kb_relative_information_score 90.796931 kb_relative_information_score 87.4561 kb_relative_information_score 87.161303 kb_relative_information_score 95.617209 kb_relative_information_score 99.166384 kb_relative_information_score 83.656032 kb_relative_information_score 90.237162 kb_relative_information_score 91.598903 kb_relative_information_score 92.530505 kb_relative_information_score 90.625879 kb_relative_information_score 93.775235 kb_relative_information_score 94.871023 kb_relative_information_score 89.210271 kb_relative_information_score 96.268913 kb_relative_information_score 96.492622 kb_relative_information_score 91.47483 kb_relative_information_score 91.531225 kb_relative_information_score 85.132075 kb_relative_information_score 89.114802 kb_relative_information_score 85.35572 kb_relative_information_score 96.227394 kb_relative_information_score 91.418538 kb_relative_information_score 101.421108 kb_relative_information_score 103.135552 kb_relative_information_score 100.405885 kb_relative_information_score 95.557946 mean_absolute_error 0.037697 mean_absolute_error 0.042266 mean_absolute_error 0.044001 mean_absolute_error 0.035685 mean_absolute_error 0.041485 mean_absolute_error 0.037945 mean_absolute_error 0.0436 mean_absolute_error 0.041588 mean_absolute_error 0.036364 mean_absolute_error 0.039334 mean_absolute_error 0.038858 mean_absolute_error 0.039713 mean_absolute_error 0.043735 mean_absolute_error 0.046531 mean_absolute_error 0.043504 mean_absolute_error 0.038496 mean_absolute_error 0.029251 mean_absolute_error 0.042478 mean_absolute_error 0.036965 mean_absolute_error 0.038629 mean_absolute_error 0.040541 mean_absolute_error 0.038683 mean_absolute_error 0.036883 mean_absolute_error 0.044893 mean_absolute_error 0.041837 mean_absolute_error 0.039929 mean_absolute_error 0.039358 mean_absolute_error 0.03818 mean_absolute_error 0.046631 mean_absolute_error 0.040788 mean_absolute_error 0.038037 mean_absolute_error 0.038368 mean_absolute_error 0.0427 mean_absolute_error 0.035693 mean_absolute_error 0.043081 mean_absolute_error 0.036639 mean_absolute_error 0.047664 mean_absolute_error 0.045405 mean_absolute_error 0.04073 mean_absolute_error 0.04002 mean_absolute_error 0.037485 mean_absolute_error 0.038066 mean_absolute_error 0.039212 mean_absolute_error 0.036049 mean_absolute_error 0.044485 mean_absolute_error 0.040193 mean_absolute_error 0.042551 mean_absolute_error 0.046148 mean_absolute_error 0.036307 mean_absolute_error 0.044577 mean_absolute_error 0.042045 mean_absolute_error 0.042885 mean_absolute_error 0.041699 mean_absolute_error 0.036262 mean_absolute_error 0.04021 mean_absolute_error 0.035742 mean_absolute_error 0.040236 mean_absolute_error 0.042335 mean_absolute_error 0.04305 mean_absolute_error 0.041384 mean_absolute_error 0.04223 mean_absolute_error 0.040753 mean_absolute_error 0.035311 mean_absolute_error 0.043398 mean_absolute_error 0.039202 mean_absolute_error 0.044312 mean_absolute_error 0.04229 mean_absolute_error 0.038062 mean_absolute_error 0.047027 mean_absolute_error 0.040382 mean_absolute_error 0.042646 mean_absolute_error 0.044146 mean_absolute_error 0.040003 mean_absolute_error 0.042636 mean_absolute_error 0.039402 mean_absolute_error 0.042276 mean_absolute_error 0.045616 mean_absolute_error 0.040009 mean_absolute_error 0.039603 mean_absolute_error 0.04576 mean_absolute_error 0.042824 mean_absolute_error 0.04078 mean_absolute_error 0.040579 mean_absolute_error 0.043272 mean_absolute_error 0.043159 mean_absolute_error 0.04009 mean_absolute_error 0.04568 mean_absolute_error 0.039451 mean_absolute_error 0.038307 mean_absolute_error 0.045415 mean_absolute_error 0.041028 mean_absolute_error 0.046896 mean_absolute_error 0.041586 mean_absolute_error 0.043325 mean_absolute_error 0.036521 mean_absolute_error 0.042001 mean_absolute_error 0.034161 mean_absolute_error 0.032347 mean_absolute_error 0.037855 mean_absolute_error 0.039414 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 0.693667 [0.25,1,0.666667,0.5,0,0.590909,0.969697,0,0,0,0.5,1,0.5,0.714286,0.833333,0.909091,0,1,0.416667,1] precision 0.579403 [0,1,0,0,0,0.571429,0.790698,0,0,0,0.555556,0,0.45,0.625,0.636364,1,0,1,0.375,0.666667] precision 0.590152 [0,1,0,0,0,0.56,0.815789,0.25,0,0,0.75,0,0.333333,0.777778,0.666667,0.833333,0,1,0.454545,1] precision 0.660607 [0,1,0,0.666667,0,0.714286,0.868421,0,0,0,0.5,0,0.52381,1,0.636364,0.909091,0,1,0.6,0.75] precision 0.64078 [0,0.875,0,0,0,0.407407,0.864865,0.5,0,0,0.333333,1,0.571429,1,0.833333,1,1,1,0.357143,1] precision 0.672637 [0,0.888889,0,1,0,0.608696,0.891892,0,0,0,0.5,1,0.363636,0.666667,0.727273,1,0,1,0.625,0.666667] precision 0.620029 [0,0.888889,0,0.666667,0,0.5,0.842105,0,1,0,0.5,0.5,0.2,1,0.7,0.818182,0,1,0.7,0.666667] precision 0.610813 [0,0.875,0,0.5,0,0.5,0.942857,0,0,0,0.5,0,0.37037,0.777778,0.6,0.888889,0,1,0.6,0.6] precision 0.728126 [0,1,0.333333,1,0,0.708333,0.894737,0.333333,0,0,0.777778,0,0.333333,1,1,1,0,1,0.555556,1] precision 0.67776 [0,0.875,0,1,0,0.608696,0.944444,0.25,0,0,0.461538,1,0.466667,0.857143,0.6,0.909091,0,1,0.333333,1] precision 0.671884 [0,1,0,0,0,0.56,0.891892,1,0,0,0.375,1,0.35,1,0.75,1,0,1,0.636364,0.6] precision 0.653907 [0,1,0,0.333333,0,0.513514,0.882353,0.25,0,0,0.470588,0,0.533333,0.8,1,1,0,1,0.5,1] precision 0.627434 [0,1,0,1,0,0.541667,0.967742,0,0,0,0.428571,0.5,0.411765,0.714286,0.666667,0.769231,0,1,0.263158,0.75] precision 0.628022 [0,1,0,0.285714,0,0.472222,0.75,0,0,0,0.5,0.666667,0.5,1,0.875,0.818182,0,1,0.625,1] precision 0.616807 [0,0.875,0.5,0.333333,0,0.46875,0.916667,0.25,0,0,0.454545,0,0.238095,1,1,1,0,1,0.307692,1] precision 0.666888 [0.333333,1,0,1,0,0.708333,0.846154,0,0,0,0.2,0,0.52381,1,0.636364,0.9,0,1,0.615385,1] precision 0.743551 [0,1,0.5,0.75,0,0.653846,0.911765,0.5,0,0,0.666667,1,0.526316,0.857143,0.818182,1,0,1,0.529412,1] precision 0.637217 [0,1,0,0.4,0,0.5,0.870968,0,0,0,0.272727,1,0.384615,0.7,1,1,0,1,0.5,0.6] precision 0.690553 [0,0.666667,1,0,0,0.625,0.916667,0,0,0,0.4,0.75,0.588235,1,1,0.818182,0,1,0.611111,1] precision 0.630479 [0,1,0,0.5,0,0.466667,0.916667,0,1,0,0.444444,0.666667,0.375,0.75,0.555556,0.909091,0,1,0.555556,1] precision 0.639591 [1,0.8,0,0.4,0,0.541667,0.935484,0,0,0,0.4,1,0.454545,0.75,0.666667,0.9,0,1,0.454545,1] precision 0.693778 [0,1,0,0.166667,0,0.6,0.9375,0.666667,0,0,0.384615,1,0.55,0.857143,1,1,0,1,0.5,0.6] precision 0.709545 [0,1,1,0.166667,0,0.576923,0.891892,0,0,0,0.583333,1,0.647059,1,0.571429,1,1,1,0.533333,0.666667] precision 0.601061 [0,1,0,0.6,0,0.423077,0.771429,0,0,0,0.857143,1,0.318182,0.777778,0.333333,0.909091,0,1,0.416667,1] precision 0.607392 [0,0.875,0,0,0,0.6,0.833333,0,0,0,0.714286,1,0.307692,0.875,0.428571,0.909091,0,1,0.5625,0.75] precision 0.67792 [0,1,0.666667,1,0,0.55,0.809524,0,0,0,0.666667,1,0.346154,0.833333,0.8,0.888889,0,1,0.588235,1] precision 0.661241 [0,1,0.5,0.5,0,0.5,0.971429,0,1,0,0.5,0,0.3,1,0.666667,0.875,0,1,0.75,0.6] precision 0.672297 [0,1,0.666667,0.333333,0,0.615385,0.837838,0,0,0,0.571429,0.25,0.434783,1,0.75,1,0,1,0.6,1] precision 0.613474 [0,1,0,1,0,0.4375,0.8,0,0,0,0.5,1,0.35,0.833333,0.571429,1,0,1,0.454545,0.75] precision 0.609175 [0,0.8,0.5,1,0,0.53125,0.846154,0,0,0,0.4,0,0.473684,0.857143,0.636364,1,0,1,0.285714,1] precision 0.678875 [0,1,0,0.6,0,0.6,0.939394,0.25,0,0,0.6,0.5,0.363636,1,0.7,1,0,1,0.583333,0.8] precision 0.667023 [0,0.857143,0,0.5,0,0.592593,0.891892,0.333333,1,0,0.75,0.5,0.391304,1,0.75,0.636364,0,1,0.666667,0.75] precision 0.597279 [0,0.8,0,0,0,0.68,0.891892,0,0,0,0.333333,1,0.375,0.857143,0.666667,0.8,0,1,0.333333,0.5] precision 0.696973 [0,0.888889,0.5,0.6,0,0.625,0.941176,0.166667,0,0,0.466667,1,0.470588,0.75,0.666667,1,0,1,0.5,1] precision 0.597425 [0,0.777778,0,0.428571,0,0.541667,0.842105,0,0,0,0.4,0,0.478261,0.545455,0.714286,0.9,0,1,0.555556,1] precision 0.733948 [0,0.875,1,0.428571,0,0.615385,0.970588,1,1,0,0.75,1,0.454545,1,0.714286,0.692308,0,1,0.384615,1] precision 0.598965 [0,0.888889,0,1,0,0.625,0.738095,0,0,0,0.571429,0,0.45,0.714286,0.75,0.9,0,1,0.285714,1] precision 0.623864 [0,0.857143,0,0.666667,0,0.56,0.837838,0.5,0,0,0.5,1,0.470588,0.545455,0.583333,0.818182,0,1,0.5,0.75] precision 0.656989 [0,1,0,0.5,0,0.571429,0.875,0.5,0,0,0.666667,1,0.296296,0.714286,0.7,0.888889,0,1,0.6,1] precision 0.655043 [0,0.888889,0,0.6,0,0.533333,0.84375,1,0,0,0.666667,1,0.142857,0.857143,0.8,1,0,1,0.55,1] precision 0.66817 [0,1,0,0.5,0,0.571429,0.914286,0.25,0,0,0.625,0.5,0.47619,0.8,1,0.8,0,1,0.384615,1] precision 0.682055 [0,0.777778,0,0.333333,0,0.666667,0.941176,0.25,0.5,0,0.444444,1,0.4,1,0.7,1,0,1,0.636364,1] precision 0.684726 [0,1,0,0.6,0,0.684211,0.941176,0.5,0,0,0.5,0.333333,0.363636,0.857143,0.875,1,0,1,0.5,0.75] precision 0.750969 [0,0.888889,1,1,0,0.592593,0.944444,0.5,0,0,0.571429,0.5,0.5,1,0.857143,1,0,1,0.5625,1] precision 0.619233 [0,1,0,1,0,0.62963,0.794872,0,0,0,0.428571,0,0.375,0.625,0.777778,1,0,1,0.5,0.5] precision 0.647016 [0,1,1,0.125,0,0.5,0.911765,0,0,0,0.6,0.333333,0.411765,0.857143,0.625,1,0,1,0.583333,1] precision 0.615085 [0,1,1,0,0,0.586207,0.861111,0,0,0,0.5,0,0.35,0.6,0.8,1,0,1,0.4375,1] precision 0.649795 [0,1,0,0.666667,0,0.55,0.842105,0.333333,0,0,0.8,1,0.3,0.666667,0.857143,1,0,1,0.388889,1] precision 0.665181 [0,1,0,0.333333,0,0.652174,0.891892,0.5,0,0,0.5,0,0.5,0.857143,0.666667,0.909091,0,1,0.615385,1] precision 0.63497 [0,1,0,0.5,0,0.571429,0.942857,0,0,0,0.222222,1,0.307692,1,0.833333,0.888889,0,1,0.4,0.75] precision 0.674951 [0,1,0,0.833333,0,0.714286,0.891892,0,1,0,0.625,0,0.290323,1,0.615385,1,0,1,0.583333,0.75] precision 0.636831 [0,1,0,0.5,0,0.441176,0.864865,0,0,0,0.5,1,0.35,1,0.666667,1,0,1,0.666667,0.666667] precision 0.642234 [0,0.777778,0,1,0,0.4,0.882353,0.5,0,0,0.375,0,0.428571,1,0.75,1,0,1,0.666667,0.666667] precision 0.71284 [0,1,0,1,0,0.608696,0.888889,0.5,0,0,0.5,0.666667,0.526316,0.777778,1,0.9,0,1,0.642857,0.5] precision 0.651144 [0,0.875,0,0.4,0,0.6,0.829268,0.333333,0,0,0.333333,1,0.5,1,0.6,1,1,1,0.5,0.75] precision 0.673177 [0,0.888889,0,0.25,0,0.611111,0.857143,0.5,0,0,0.636364,1,0.428571,1,0.8,0.9,0,1,0.6875,0.5] precision 0.676201 [0,1,0,0.666667,0,0.551724,0.969697,0.25,1,0,0.625,1,0.466667,0.6,0.75,0.833333,0,1,0.294118,1] precision 0.643366 [0,0.777778,0,1,0,0.535714,0.837838,0.5,0,0,0.5,1,0.444444,0.714286,0.714286,1,0,1,0.4,0.75] precision 0.615176 [0,0.875,0,0.5,0,0.454545,0.911765,0.25,0,0,0.428571,0.5,0.392857,0.625,0.7,0.9,0,1,0.545455,0.75] precision 0.683018 [0,0.875,0,1,0,0.551724,0.842105,0,0,0,0.666667,1,0.47619,0.857143,1,1,0,1,0.368421,1] precision 0.652867 [0,0.8,0,0.4,0,0.518519,0.914286,1,0,0,0.333333,1,0.526316,0.75,0.75,0.909091,0,1,0.428571,0.75] precision 0.618354 [0,1,0,0.2,0,0.518519,0.916667,0,0,0,0.222222,1,0.380952,0.75,0.75,1,0,1,0.538462,0.75] precision 0.699646 [0.5,0.875,1,0.666667,0,0.6,0.888889,0.666667,1,0,0.357143,0,0.5,0.875,0.625,1,0,1,0.666667,1] precision 0.638178 [0,0.857143,0.5,1,0,0.5,0.820513,0,0,0,0.555556,1,0.333333,1,0.8,1,0,1,0.291667,0.75] precision 0.66894 [0,0.888889,0,1,0,0.64,0.914286,0,1,0,0.444444,0.5,0.37037,0.833333,0.583333,0.909091,0,1,0.545455,1] precision 0.610412 [0,0.888889,1,0.5,0,0.483871,0.815789,0.333333,1,0,0.636364,0,0.352941,0.833333,0.555556,1,0,1,0.466667,0] precision 0.63999 [0,0.777778,0,0,0,0.695652,0.882353,0.5,0,0,0.555556,0.666667,0.413793,0.714286,0.625,0.833333,0,1,0.714286,0.75] precision 0.646779 [0.5,1,0,0.666667,0,0.608696,1,0,0,0,0.571429,0,0.45,0.6,0.777778,0.818182,0,1,0.411765,1] precision 0.631403 [0,1,0,0.4,0,0.625,0.939394,0.333333,0,0,0.4,1,0.26087,0.75,0.636364,1,0,1,0.4,0.75] precision 0.648382 [1,0.875,0,0.666667,0,0.55,0.861111,0,1,0,0.384615,1,0.5,0.5,0.75,0.888889,0,1,0.6,0.6] precision 0.607124 [0,0.875,0,0,0,0.566667,0.885714,0,0,0,0.538462,0.5,0.368421,1,0.538462,1,0,1,0.5,0.75] precision 0.648738 [0,1,0,0.666667,0,0.5,0.9375,0,0,0,0.5,0.666667,0.28,0.545455,0.777778,1,0,1,0.75,0.666667] precision 0.69396 [0,1,0.333333,1,0,0.541667,1,0.5,0,0,0.625,1,0.347826,0.75,0.666667,1,0,1,0.318182,1] precision 0.604745 [0,0.777778,0.333333,0.25,0,0.538462,0.941176,0,0,0,0.4,0,0.421053,0.857143,0.75,0.857143,0,1,0.6,0.666667] precision 0.687876 [0,1,1,1,0,0.571429,0.888889,1,0,0,0.444444,0.2,0.5,0.833333,0.6,1,0,1,0.421053,0.666667] precision 0.587353 [0,1,0,0,0,0.517241,0.888889,0,0,0,0.25,0.5,0.354839,1,0.5,0.888889,0.5,1,0.555556,0.666667] precision 0.580538 [0,1,0.5,0.153846,0,0.48,0.882353,0,0,0,0.3,0,0.357143,0.714286,0.571429,1,0,1,0.545455,0.75] precision 0.688469 [0,1,0,0.666667,0,0.586207,0.846154,1,1,0,0.555556,0.5,0.388889,0.857143,0.636364,1,0,1,0.555556,1] precision 0.656948 [0,0.875,0,0.666667,0,0.56,0.916667,0,0,0,0.416667,1,0.238095,1,0.875,1,1,1,0.470588,0.75] precision 0.571979 [0,0.777778,0,0.25,0,0.521739,0.941176,0,0,0,0.4,0,0.384615,0.666667,0.666667,0.875,0,1,0.230769,1] precision 0.653125 [0,1,1,1,0,0.428571,0.842105,0.333333,0,0,0.625,0,0.285714,0.75,0.857143,1,0,1,0.615385,1] precision 0.639409 [1,0.875,0.666667,0.285714,0,0.5,0.864865,0,0.5,0,0.666667,0.5,0.5,0.555556,0.625,0.833333,0,1,0.466667,1] precision 0.617026 [0,1,0,0.2,0,0.6,0.804878,0.2,0,0,0.461538,0,0.5625,0.666667,0.75,1,0,1,0.642857,0.666667] precision 0.618344 [0,1,1,0,0,0.6,0.914286,0.25,0,0,0.666667,0,0.37037,0.625,0.666667,0.888889,0,1,0.4,0.75] precision 0.669737 [0,1,0,0.428571,0,0.75,0.969697,0,0,0,0.5,1,0.461538,0.75,0.7,0.692308,1,1,0.368421,0.8] precision 0.661084 [0,1,0,0.833333,0,0.538462,0.941176,0.333333,0,0,0.375,0.666667,0.304348,0.833333,0.714286,1,0,1,0.529412,1] precision 0.646017 [0,1,0,0.75,0,0.538462,0.864865,1,0,0,0.5,0.5,0.380952,0.714286,0.666667,0.9,0,1,0.526316,0.666667] precision 0.652374 [0,0.875,0.333333,0.333333,0,0.55,0.891892,0,0,0,0.5,0.5,0.470588,1,0.75,0.9,0,1,0.6,0.75] precision 0.65917 [1,1,0.166667,0.285714,0,0.52381,0.941176,0.25,0,0,0.428571,0.666667,0.52,0.5,0.666667,1,0,1,0.6,1] precision 0.62081 [1,1,0,0,0,0.5625,0.891892,0,0,0,0.636364,1,0.375,0.875,0.615385,1,0,1,0.347826,0.571429] precision 0.641399 [0,0.875,0,0.5,0,0.727273,0.846154,0.333333,0,0,0.384615,0,0.344828,1,0.7,0.888889,0,1,0.666667,1] precision 0.594639 [0,1,0,0,0,0.529412,0.825,0,0,0,0.375,0,0.3,1,0.833333,0.888889,0,1,0.545455,1] precision 0.647934 [0,1,0,1,0,0.565217,0.868421,0,0,0,0.3125,0.5,0.529412,0.833333,0.875,1,0,1,0.380952,1] precision 0.599493 [1,1,1,0,0,0.518519,0.914286,0,0,0,0.333333,0.5,0.26087,0.8,0.636364,0.818182,0,1,0.5,0.5] precision 0.667707 [0,1,0.5,1,0,0.608696,0.864865,0.2,1,0,0.6,0.5,0.416667,0.666667,1,0.888889,0,1,0.375,0.666667] precision 0.5984 [0,0.8,0,0.25,0,0.666667,0.861111,0,0,0,0.555556,0.333333,0.375,0.625,0.571429,1,0,1,0.428571,0.666667] precision 0.712789 [0.333333,1,0,0.75,0,0.5,0.967742,0.333333,0,0,0.545455,0.75,0.722222,0.857143,1,1,0,1,0.4,0.6] precision 0.71571 [0,1,0.333333,0.333333,0,0.555556,0.868421,0,0.5,0,0.875,1,0.545455,0.857143,0.7,1,0,1,0.727273,1] precision 0.670324 [0,0.875,0,0.5,0,0.681818,0.942857,0.333333,0,0,0.5,0.5,0.526316,0.75,0.636364,0.909091,0,1,0.526316,0.6] precision 0.65599 [0,1,0,0,0,0.652174,0.891892,0.5,1,0,0.363636,1,0.333333,0.666667,0.538462,1,1,1,0.538462,1] predictive_accuracy 0.685897 predictive_accuracy 0.653846 predictive_accuracy 0.641026 predictive_accuracy 0.692308 predictive_accuracy 0.653846 predictive_accuracy 0.705128 predictive_accuracy 0.634615 predictive_accuracy 0.647436 predictive_accuracy 0.724359 predictive_accuracy 0.679487 predictive_accuracy 0.679487 predictive_accuracy 0.673077 predictive_accuracy 0.602564 predictive_accuracy 0.666667 predictive_accuracy 0.628205 predictive_accuracy 0.698718 predictive_accuracy 0.75 predictive_accuracy 0.647436 predictive_accuracy 0.717949 predictive_accuracy 0.660256 predictive_accuracy 0.660256 predictive_accuracy 0.705128 predictive_accuracy 0.705128 predictive_accuracy 0.615385 predictive_accuracy 0.653846 predictive_accuracy 0.679487 predictive_accuracy 0.679487 predictive_accuracy 0.698718 predictive_accuracy 0.641026 predictive_accuracy 0.673077 predictive_accuracy 0.692308 predictive_accuracy 0.685897 predictive_accuracy 0.647436 predictive_accuracy 0.705128 predictive_accuracy 0.641026 predictive_accuracy 0.717949 predictive_accuracy 0.621795 predictive_accuracy 0.660256 predictive_accuracy 0.660256 predictive_accuracy 0.679487 predictive_accuracy 0.679487 predictive_accuracy 0.698718 predictive_accuracy 0.692308 predictive_accuracy 0.74359 predictive_accuracy 0.660256 predictive_accuracy 0.666667 predictive_accuracy 0.660256 predictive_accuracy 0.641026 predictive_accuracy 0.717949 predictive_accuracy 0.628205 predictive_accuracy 0.698718 predictive_accuracy 0.660256 predictive_accuracy 0.660256 predictive_accuracy 0.717949 predictive_accuracy 0.666667 predictive_accuracy 0.705128 predictive_accuracy 0.679487 predictive_accuracy 0.660256 predictive_accuracy 0.634615 predictive_accuracy 0.692308 predictive_accuracy 0.679487 predictive_accuracy 0.641026 predictive_accuracy 0.705128 predictive_accuracy 0.641026 predictive_accuracy 0.685897 predictive_accuracy 0.647436 predictive_accuracy 0.666667 predictive_accuracy 0.673077 predictive_accuracy 0.641026 predictive_accuracy 0.673077 predictive_accuracy 0.666667 predictive_accuracy 0.660256 predictive_accuracy 0.666667 predictive_accuracy 0.653846 predictive_accuracy 0.666667 predictive_accuracy 0.634615 predictive_accuracy 0.602564 predictive_accuracy 0.692308 predictive_accuracy 0.673077 predictive_accuracy 0.608974 predictive_accuracy 0.666667 predictive_accuracy 0.660256 predictive_accuracy 0.666667 predictive_accuracy 0.653846 predictive_accuracy 0.673077 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.685897 predictive_accuracy 0.660256 predictive_accuracy 0.666667 predictive_accuracy 0.653846 predictive_accuracy 0.628205 predictive_accuracy 0.660256 predictive_accuracy 0.628205 predictive_accuracy 0.673077 predictive_accuracy 0.641026 predictive_accuracy 0.717949 predictive_accuracy 0.724359 predictive_accuracy 0.711538 predictive_accuracy 0.666667 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 0.685897 [1,1,0.5,0.4,0,0.65,0.941176,0,0,0,0.3,0.5,0.625,0.714286,0.555556,1,0,1,0.769231,0.333333] recall 0.653846 [0,1,0,0,0,0.631579,0.971429,0,0,0,0.555556,0,0.5625,0.833333,0.7,1,0,1,0.461538,0.5] recall 0.641026 [0,1,0,0,0,0.736842,0.911765,0.2,0,0,0.333333,0,0.625,1,0.6,1,0,1,0.384615,0.666667] recall 0.692308 [0,0.875,0,0.4,0,0.75,0.970588,0,0,0,0.777778,0,0.647059,0.666667,0.7,1,0,1,0.461538,1] recall 0.653846 [0,1,0,0,0,0.578947,0.941176,0.4,0,0,0.6,0.5,0.470588,1,0.555556,1,1,1,0.384615,0.75] recall 0.705128 [0,1,0,0.6,0,0.7,0.970588,0,0,0,0.444444,0.25,0.5,0.857143,0.888889,0.9,0,1,0.769231,0.5] recall 0.634615 [0,1,0,0.4,0,0.65,0.941176,0,1,0,0.333333,0.25,0.3125,0.857143,0.7,0.9,0,1,0.538462,0.5] recall 0.647436 [0,0.875,0,0.4,0,0.75,0.970588,0,0,0,0.555556,0,0.588235,1,0.666667,0.8,0,0.666667,0.230769,0.75] recall 0.724359 [0,0.875,0.333333,0.2,0,0.85,1,0.25,0,0,0.7,0,0.470588,0.857143,0.666667,1,0,1,0.769231,0.333333] recall 0.679487 [0,0.875,0,0.333333,0,0.736842,1,0.25,0,0,0.666667,0.25,0.411765,1,0.666667,1,0,1,0.384615,0.75] recall 0.679487 [0,1,0,0,0,0.7,0.942857,0.25,0,0,0.333333,0.5,0.4375,0.857143,1,1,0,1,0.538462,0.75] recall 0.673077 [0,1,0,0.2,0,0.95,0.882353,0.25,0,0,0.8,0,0.470588,0.666667,0.444444,1,0,1,0.384615,1] recall 0.602564 [0,0.875,0,0.2,0,0.684211,0.882353,0,0,0,0.3,0.25,0.411765,0.833333,0.666667,1,0,0.75,0.384615,0.75] recall 0.666667 [0,1,0,0.4,0,0.85,0.942857,0,0,0,0.333333,0.5,0.411765,0.857143,0.777778,0.9,0,1,0.384615,0.666667] recall 0.628205 [0,1,0.333333,0.2,0,0.75,0.970588,0.2,0,0,0.555556,0,0.294118,0.714286,0.888889,0.8,0,1,0.307692,0.333333] recall 0.698718 [0.5,1,0,0.4,0,0.85,0.970588,0,0,0,0.222222,0,0.647059,0.857143,0.777778,0.9,0,0.75,0.615385,0.75] recall 0.75 [0,1,0.25,0.6,0,0.85,0.911765,0.2,0,0,0.444444,0.75,0.625,0.857143,1,0.8,0,1,0.692308,1] recall 0.647436 [0,1,0,0.4,0,0.9,0.794118,0,0,0,0.333333,0.25,0.294118,1,0.888889,0.9,0,1,0.461538,0.75] recall 0.717949 [0,1,0.25,0,0,0.75,0.970588,0,0,0,0.666667,0.75,0.588235,1,0.555556,0.9,0,0.75,0.846154,0.666667] recall 0.660256 [0,1,0,0.166667,0,0.7,0.970588,0,0.5,0,0.444444,0.5,0.352941,1,0.555556,1,0,0.666667,0.769231,0.333333] recall 0.660256 [1,1,0,0.4,0,0.65,0.852941,0,0,0,0.444444,0.5,0.588235,1,0.444444,0.9,0,1,0.769231,0.5] recall 0.705128 [0,1,0,0.2,0,0.75,0.882353,0.5,0,0,0.555556,0.5,0.647059,1,0.777778,1,0,1,0.538462,0.75] recall 0.705128 [0,0.875,0.333333,0.2,0,0.75,0.970588,0,0,0,0.777778,0.25,0.647059,0.666667,0.444444,0.9,0.5,1,0.615385,1] recall 0.615385 [0,1,0,0.6,0,0.55,0.794118,0,0,0,0.666667,0.25,0.411765,1,0.444444,1,0,1,0.384615,0.75] recall 0.653846 [0,1,0,0,0,0.6,0.882353,0,0,0,0.555556,0.25,0.470588,1,0.666667,1,0,1,0.692308,1] recall 0.679487 [0,1,0.5,0.166667,0,0.55,1,0,0,0,0.444444,0.25,0.529412,0.714286,0.888889,0.888889,0,1,0.769231,0.666667] recall 0.679487 [0,1,0.333333,0.2,0,0.789474,1,0,0.5,0,0.333333,0,0.352941,0.857143,0.888889,0.777778,0,1,0.692308,0.75] recall 0.698718 [0,1,0.666667,0.166667,0,0.8,0.911765,0,0,0,0.444444,0.25,0.588235,0.857143,0.666667,0.9,0,1,0.692308,0.666667] recall 0.641026 [0,1,0,0.4,0,0.7,0.941176,0,0,0,0.555556,0.25,0.411765,0.833333,0.444444,1,0,1,0.384615,1] recall 0.673077 [0,1,0.25,0.6,0,0.85,0.970588,0,0,0,0.444444,0,0.529412,1,0.777778,0.9,0,1,0.153846,1] recall 0.692308 [0,0.875,0,0.5,0,0.75,0.911765,0.25,0,0,0.666667,0.5,0.470588,1,0.7,0.888889,0,1,0.538462,1] recall 0.685897 [0,0.857143,0,0.166667,0,0.8,0.970588,0.25,0.5,0,0.666667,0.5,0.529412,1,0.666667,0.777778,0,1,0.461538,0.75] recall 0.647436 [0,1,0,0,0,0.85,0.970588,0,0,0,0.444444,0.25,0.352941,1,0.666667,0.8,0,1,0.461538,0.5] recall 0.705128 [0,1,0.333333,0.6,0,0.75,0.941176,0.25,0,0,0.777778,0.5,0.470588,0.857143,0.666667,1,0,1,0.307692,0.75] recall 0.641026 [0,0.875,0,0.6,0,0.65,0.941176,0,0,0,0.444444,0,0.647059,1,0.5,0.9,0,1,0.384615,0.333333] recall 0.717949 [0,1,0.25,0.5,0,0.842105,0.942857,0.25,0.5,0,0.666667,0.25,0.588235,1,0.555556,1,0,1,0.384615,1] recall 0.621795 [0,1,0,0.2,0,0.789474,0.911765,0,0,0,0.444444,0,0.529412,0.714286,0.333333,1,0,1,0.461538,0.5] recall 0.660256 [0,0.857143,0,0.333333,0,0.7,0.911765,0.2,0,0,0.444444,0.25,0.470588,1,0.777778,1,0,1,0.538462,1] recall 0.660256 [0,1,0,0.4,0,0.8,0.823529,0.2,0,0,0.444444,0.25,0.470588,0.833333,0.777778,0.8,0,1,0.692308,1] recall 0.679487 [0,1,0,0.6,0,0.8,0.794118,0.25,0,0,0.888889,0.25,0.117647,1,0.8,0.9,0,1,0.846154,1] recall 0.679487 [0,1,0,0.5,0,0.8,0.941176,0.25,0,0,0.555556,0.25,0.588235,0.666667,0.666667,0.888889,0,1,0.384615,0.75] recall 0.698718 [0,1,0,0.333333,0,0.7,0.941176,0.2,0.5,0,0.444444,0.75,0.588235,1,0.777778,0.9,0,1,0.538462,1] recall 0.692308 [0,1,0,0.5,0,0.65,0.941176,0.25,0,0,0.555556,0.25,0.470588,1,0.777778,0.7,0,1,0.846154,0.75] recall 0.74359 [0,1,0.333333,0.5,0,0.842105,1,0.5,0,0,0.444444,0.25,0.588235,0.857143,0.666667,0.8,0,1,0.692308,1] recall 0.660256 [0,1,0,0.333333,0,0.85,0.911765,0,0,0,0.333333,0,0.529412,0.833333,0.777778,0.9,0,1,0.538462,0.333333] recall 0.666667 [0,1,0.25,0.166667,0,0.894737,0.911765,0,0,0,0.6,0.25,0.411765,1,0.555556,0.888889,0,1,0.538462,1] recall 0.660256 [0,1,0.333333,0,0,0.894737,0.911765,0,0,0,0.444444,0,0.411765,0.857143,0.888889,0.777778,0,1,0.538462,0.75] recall 0.641026 [0,1,0,0.333333,0,0.55,0.941176,0.4,0,0,0.444444,0.25,0.529412,0.666667,0.666667,1,0,1,0.538462,0.666667] recall 0.717949 [0,0.875,0,0.2,0,0.75,0.970588,0.4,0,0,0.666667,0,0.647059,1,0.888889,1,0,1,0.615385,0.5] recall 0.628205 [0,0.875,0,0.2,0,0.6,0.970588,0,0,0,0.222222,0.25,0.470588,0.666667,0.555556,0.8,0,1,0.769231,1] recall 0.698718 [0,0.875,0,0.833333,0,0.75,0.970588,0,0.5,0,0.555556,0,0.529412,0.833333,0.888889,0.777778,0,1,0.538462,0.75] recall 0.660256 [0,1,0,0.5,0,0.75,0.941176,0,0,0,0.555556,0.25,0.411765,1,0.666667,0.7,0,1,0.615385,0.666667] recall 0.660256 [0,1,0,0.333333,0,0.7,0.882353,0.75,0,0,0.333333,0,0.352941,1,0.666667,1,0,1,0.615385,1] recall 0.717949 [0,1,0,0.166667,0,0.736842,0.941176,0.25,0,0,0.8,0.5,0.588235,1,0.666667,0.9,0,1,0.692308,0.5] recall 0.666667 [0,0.875,0,0.333333,0,0.6,1,0.25,0,0,0.333333,0.25,0.529412,0.666667,0.666667,0.8,1,1,0.692308,1] recall 0.705128 [0,1,0,0.166667,0,0.578947,0.882353,0.25,0,0,0.777778,0.75,0.529412,0.833333,0.888889,0.9,0,1,0.846154,1] recall 0.679487 [0,1,0,0.333333,0,0.842105,0.914286,0.25,1,0,0.555556,0.25,0.411765,1,0.666667,1,0,1,0.384615,0.666667] recall 0.660256 [0,1,0,0.333333,0,0.75,0.911765,0.4,0,0,0.555556,0.5,0.470588,0.833333,0.555556,0.888889,0,1,0.461538,1] recall 0.634615 [0,0.875,0,0.4,0,0.5,0.911765,0.25,0,0,0.333333,0.25,0.647059,0.833333,0.7,0.9,0,1,0.461538,0.75] recall 0.692308 [0,0.875,0,0.2,0,0.8,0.941176,0,0,0,0.444444,0.5,0.588235,0.857143,0.888889,1,0,1,0.538462,0.333333] recall 0.679487 [0,1,0,0.333333,0,0.736842,0.941176,0.25,0,0,0.333333,0.5,0.588235,1,0.666667,1,0,0.75,0.461538,1] recall 0.641026 [0,0.857143,0,0.166667,0,0.7,0.970588,0,0,0,0.222222,0.75,0.470588,0.857143,0.666667,0.8,0,1,0.538462,1] recall 0.705128 [0.5,1,0.333333,0.333333,0,0.75,0.941176,0.5,1,0,0.555556,0,0.470588,1,0.555556,1,0,1,0.615385,0.666667] recall 0.641026 [0,0.857143,0.333333,0.333333,0,0.526316,0.941176,0,0,0,0.555556,0.5,0.352941,0.833333,0.888889,0.9,0,1,0.538462,0.75] recall 0.685897 [0,1,0,0.166667,0,0.8,0.941176,0,0.5,0,0.444444,0.25,0.625,0.833333,0.777778,1,0,1,0.461538,0.75] recall 0.647436 [0,1,0.333333,0.2,0,0.789474,0.911765,0.25,0.5,0,0.777778,0,0.352941,0.833333,0.5,0.9,0,1,0.538462,0] recall 0.666667 [0,1,0,0,0,0.8,0.882353,0.25,0,0,0.555556,0.5,0.705882,0.833333,0.555556,1,0,0.75,0.384615,1] recall 0.673077 [1,1,0,0.4,0,0.736842,0.852941,0,0,0,0.8,0,0.529412,1,0.777778,0.9,0,1,0.538462,0.666667] recall 0.641026 [0,1,0,0.333333,0,0.789474,0.911765,0.25,0,0,0.444444,0.25,0.375,0.857143,0.777778,0.777778,0,1,0.461538,0.75] recall 0.673077 [1,1,0,0.8,0,0.55,0.911765,0,0.5,0,0.555556,0.25,0.588235,0.571429,0.666667,0.888889,0,1,0.692308,0.75] recall 0.666667 [0,1,0,0,0,0.894737,0.911765,0,0,0,0.777778,0.25,0.411765,0.714286,0.777778,1,0,1,0.384615,1] recall 0.660256 [0,1,0,0.4,0,0.894737,0.882353,0,0,0,0.444444,0.5,0.411765,0.857143,0.777778,0.8,0,1,0.461538,0.666667] recall 0.666667 [0,1,0.333333,0.5,0,0.65,0.882353,0.2,0,0,0.555556,0.5,0.470588,0.857143,0.666667,0.888889,0,1,0.538462,1] recall 0.653846 [0,1,0.333333,0.166667,0,0.736842,0.941176,0,0,0,0.444444,0,0.470588,1,0.666667,0.666667,0,0.75,0.923077,0.666667] recall 0.666667 [0,1,0.333333,0.166667,0,0.842105,0.914286,0.25,0,0,0.444444,0.25,0.5625,0.833333,0.333333,0.8,0,1,0.615385,1] recall 0.634615 [0,0.75,0,0,0,0.75,0.941176,0,0,0,0.111111,0.25,0.647059,1,0.666667,0.8,1,1,0.384615,1] recall 0.602564 [0,0.857143,0.333333,0.333333,0,0.6,0.882353,0,0,0,0.333333,0,0.294118,0.833333,0.888889,0.9,0,1,0.461538,1] recall 0.692308 [0,1,0,0.4,0,0.894737,0.942857,0.25,0.5,0,0.555556,0.25,0.4375,1,0.777778,0.9,0,1,0.384615,0.5] recall 0.673077 [0,1,0,0.333333,0,0.736842,0.970588,0,0,0,0.555556,0.5,0.3125,1,0.777778,0.777778,0.5,1,0.615385,0.75] recall 0.608974 [0,1,0,0.2,0,0.631579,0.914286,0,0,0,0.444444,0,0.588235,0.857143,0.666667,0.777778,0,1,0.230769,0.75] recall 0.666667 [0,1,0.333333,0.4,0,0.789474,0.941176,0.2,0,0,0.555556,0,0.235294,0.857143,0.666667,1,0,1,0.615385,1] recall 0.660256 [0.5,0.875,0.666667,0.4,0,0.684211,0.941176,0,0.5,0,0.666667,0.25,0.294118,0.714286,0.555556,1,0,1,0.538462,0.666667] recall 0.666667 [0,0.875,0,0.2,0,0.631579,0.970588,0.2,0,0,0.666667,0,0.529412,0.571429,1,0.888889,0,1,0.692308,0.666667] recall 0.653846 [0,1,0.25,0,0,0.6,0.941176,0.4,0,0,0.444444,0,0.625,0.833333,0.888889,0.888889,0,1,0.461538,1] recall 0.673077 [0,1,0,0.6,0,0.631579,0.941176,0,0,0,0.777778,0.25,0.352941,0.857143,0.777778,1,0.5,0.666667,0.538462,1] recall 0.666667 [0,0.875,0,1,0,0.7,0.941176,0.2,0,0,0.333333,0.5,0.411765,0.833333,0.555556,0.8,0,1,0.692308,0.75] recall 0.666667 [0,0.857143,0,0.5,0,0.7,0.941176,0.25,0,0,0.444444,0.5,0.470588,0.833333,0.444444,0.9,0,1,0.769231,0.666667] recall 0.685897 [0,0.875,0.333333,0.2,0,0.578947,0.970588,0,0,0,0.777778,0.25,0.5,0.714286,0.9,0.9,0,1,0.692308,0.75] recall 0.660256 [1,1,0.333333,0.333333,0,0.578947,0.941176,0.25,0,0,0.333333,0.5,0.764706,0.857143,0.444444,1,0,1,0.230769,1] recall 0.666667 [1,1,0,0,0,0.473684,0.970588,0,0,0,0.7,0.25,0.375,1,0.888889,1,0,1,0.615385,1] recall 0.653846 [0,1,0,0.4,0,0.421053,0.970588,0.2,0,0,0.555556,0,0.588235,1,0.777778,0.8,0,1,0.615385,0.666667] recall 0.628205 [0,1,0,0,0,0.473684,0.970588,0,0,0,0.333333,0,0.5625,0.714286,0.555556,0.8,0,0.75,0.923077,0.75] recall 0.660256 [0,1,0,0.2,0,0.684211,0.942857,0,0,0,0.555556,0.25,0.5625,0.714286,0.777778,0.888889,0,1,0.615385,0.666667] recall 0.628205 [0.5,1,0.25,0,0,0.7,0.941176,0,0,0,0.444444,0.25,0.375,0.666667,0.777778,1,0,1,0.461538,0.666667] recall 0.673077 [0,1,0.333333,0.4,0,0.736842,0.941176,0.2,1,0,0.666667,0.5,0.294118,0.857143,0.666667,0.888889,0,1,0.461538,1] recall 0.641026 [0,1,0,0.4,0,0.6,0.911765,0,0,0,0.555556,0.25,0.375,0.714286,0.444444,1,0,1,0.692308,1] recall 0.717949 [1,1,0,0.6,0,0.7,0.882353,0.25,0,0,0.6,0.75,0.764706,1,0.555556,1,0,1,0.461538,1] recall 0.724359 [0,1,0.333333,0.4,0,0.526316,0.970588,0,0.5,0,0.777778,0.5,0.705882,0.857143,0.777778,0.9,0,1,0.615385,1] recall 0.711538 [0,1,0,0.166667,0,0.789474,0.942857,0.25,0,0,0.333333,0.25,0.588235,0.857143,0.777778,1,0,1,0.769231,1] recall 0.666667 [0,1,0,0,0,0.789474,0.970588,0.2,0.5,0,0.444444,0.25,0.5625,0.571429,0.777778,0.8,1,1,0.538462,0.5] relative_absolute_error 0.419199 relative_absolute_error 0.470314 relative_absolute_error 0.489014 relative_absolute_error 0.397027 relative_absolute_error 0.461103 relative_absolute_error 0.421957 relative_absolute_error 0.484927 relative_absolute_error 0.462685 relative_absolute_error 0.404708 relative_absolute_error 0.437268 relative_absolute_error 0.432685 relative_absolute_error 0.441738 relative_absolute_error 0.486265 relative_absolute_error 0.518371 relative_absolute_error 0.483908 relative_absolute_error 0.42821 relative_absolute_error 0.325273 relative_absolute_error 0.472622 relative_absolute_error 0.411253 relative_absolute_error 0.429702 relative_absolute_error 0.450925 relative_absolute_error 0.430168 relative_absolute_error 0.410286 relative_absolute_error 0.4995 relative_absolute_error 0.465367 relative_absolute_error 0.444053 relative_absolute_error 0.43745 relative_absolute_error 0.424837 relative_absolute_error 0.518783 relative_absolute_error 0.453672 relative_absolute_error 0.423139 relative_absolute_error 0.426626 relative_absolute_error 0.474987 relative_absolute_error 0.397133 relative_absolute_error 0.479388 relative_absolute_error 0.407732 relative_absolute_error 0.529775 relative_absolute_error 0.504911 relative_absolute_error 0.453086 relative_absolute_error 0.445282 relative_absolute_error 0.416899 relative_absolute_error 0.423398 relative_absolute_error 0.436151 relative_absolute_error 0.400842 relative_absolute_error 0.494938 relative_absolute_error 0.446653 relative_absolute_error 0.472946 relative_absolute_error 0.513174 relative_absolute_error 0.40388 relative_absolute_error 0.495857 relative_absolute_error 0.467615 relative_absolute_error 0.477069 relative_absolute_error 0.463794 relative_absolute_error 0.403238 relative_absolute_error 0.447367 relative_absolute_error 0.397287 relative_absolute_error 0.44777 relative_absolute_error 0.470751 relative_absolute_error 0.478974 relative_absolute_error 0.46039 relative_absolute_error 0.469401 relative_absolute_error 0.453354 relative_absolute_error 0.392791 relative_absolute_error 0.482353 relative_absolute_error 0.435811 relative_absolute_error 0.492621 relative_absolute_error 0.470318 relative_absolute_error 0.42308 relative_absolute_error 0.522181 relative_absolute_error 0.449061 relative_absolute_error 0.473977 relative_absolute_error 0.490794 relative_absolute_error 0.444881 relative_absolute_error 0.473671 relative_absolute_error 0.438317 relative_absolute_error 0.47027 relative_absolute_error 0.507312 relative_absolute_error 0.445023 relative_absolute_error 0.439745 relative_absolute_error 0.509201 relative_absolute_error 0.475961 relative_absolute_error 0.453322 relative_absolute_error 0.450956 relative_absolute_error 0.480748 relative_absolute_error 0.479567 relative_absolute_error 0.445952 relative_absolute_error 0.50802 relative_absolute_error 0.438378 relative_absolute_error 0.425649 relative_absolute_error 0.504526 relative_absolute_error 0.456025 relative_absolute_error 0.520992 relative_absolute_error 0.462509 relative_absolute_error 0.481418 relative_absolute_error 0.405788 relative_absolute_error 0.467004 relative_absolute_error 0.380081 relative_absolute_error 0.359552 relative_absolute_error 0.421376 relative_absolute_error 0.437878 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 0.158838 root_mean_squared_error 0.162139 root_mean_squared_error 0.164104 root_mean_squared_error 0.160371 root_mean_squared_error 0.157827 root_mean_squared_error 0.151957 root_mean_squared_error 0.164867 root_mean_squared_error 0.160115 root_mean_squared_error 0.140166 root_mean_squared_error 0.158175 root_mean_squared_error 0.154336 root_mean_squared_error 0.157225 root_mean_squared_error 0.181564 root_mean_squared_error 0.157929 root_mean_squared_error 0.165897 root_mean_squared_error 0.153218 root_mean_squared_error 0.144959 root_mean_squared_error 0.161297 root_mean_squared_error 0.152481 root_mean_squared_error 0.164521 root_mean_squared_error 0.160773 root_mean_squared_error 0.146222 root_mean_squared_error 0.151689 root_mean_squared_error 0.169215 root_mean_squared_error 0.161341 root_mean_squared_error 0.156835 root_mean_squared_error 0.157856 root_mean_squared_error 0.151002 root_mean_squared_error 0.161713 root_mean_squared_error 0.157002 root_mean_squared_error 0.150658 root_mean_squared_error 0.152851 root_mean_squared_error 0.164231 root_mean_squared_error 0.14916 root_mean_squared_error 0.166274 root_mean_squared_error 0.149853 root_mean_squared_error 0.166711 root_mean_squared_error 0.164101 root_mean_squared_error 0.16138 root_mean_squared_error 0.159916 root_mean_squared_error 0.154263 root_mean_squared_error 0.152851 root_mean_squared_error 0.15499 root_mean_squared_error 0.143999 root_mean_squared_error 0.15996 root_mean_squared_error 0.160789 root_mean_squared_error 0.157883 root_mean_squared_error 0.160416 root_mean_squared_error 0.149953 root_mean_squared_error 0.168314 root_mean_squared_error 0.149977 root_mean_squared_error 0.157043 root_mean_squared_error 0.158526 root_mean_squared_error 0.149663 root_mean_squared_error 0.158462 root_mean_squared_error 0.158757 root_mean_squared_error 0.159179 root_mean_squared_error 0.161919 root_mean_squared_error 0.169696 root_mean_squared_error 0.151421 root_mean_squared_error 0.156637 root_mean_squared_error 0.170761 root_mean_squared_error 0.15229 root_mean_squared_error 0.164539 root_mean_squared_error 0.156512 root_mean_squared_error 0.162929 root_mean_squared_error 0.157725 root_mean_squared_error 0.161731 root_mean_squared_error 0.160834 root_mean_squared_error 0.157759 root_mean_squared_error 0.153766 root_mean_squared_error 0.156147 root_mean_squared_error 0.151976 root_mean_squared_error 0.16461 root_mean_squared_error 0.166189 root_mean_squared_error 0.162391 root_mean_squared_error 0.168681 root_mean_squared_error 0.154746 root_mean_squared_error 0.153523 root_mean_squared_error 0.169555 root_mean_squared_error 0.158126 root_mean_squared_error 0.161576 root_mean_squared_error 0.16187 root_mean_squared_error 0.164963 root_mean_squared_error 0.159596 root_mean_squared_error 0.154505 root_mean_squared_error 0.158874 root_mean_squared_error 0.155541 root_mean_squared_error 0.166161 root_mean_squared_error 0.156454 root_mean_squared_error 0.16569 root_mean_squared_error 0.170858 root_mean_squared_error 0.163163 root_mean_squared_error 0.167483 root_mean_squared_error 0.165578 root_mean_squared_error 0.167197 root_mean_squared_error 0.151943 root_mean_squared_error 0.154757 root_mean_squared_error 0.147997 root_mean_squared_error 0.156793 root_relative_squared_error 0.74934 root_relative_squared_error 0.765405 root_relative_squared_error 0.773732 root_relative_squared_error 0.756958 root_relative_squared_error 0.744209 root_relative_squared_error 0.716866 root_relative_squared_error 0.777921 root_relative_squared_error 0.755712 root_relative_squared_error 0.661792 root_relative_squared_error 0.745974 root_relative_squared_error 0.729066 root_relative_squared_error 0.741924 root_relative_squared_error 0.856416 root_relative_squared_error 0.746401 root_relative_squared_error 0.782862 root_relative_squared_error 0.723032 root_relative_squared_error 0.683843 root_relative_squared_error 0.761356 root_relative_squared_error 0.719678 root_relative_squared_error 0.776393 root_relative_squared_error 0.758625 root_relative_squared_error 0.689823 root_relative_squared_error 0.715845 root_relative_squared_error 0.798743 root_relative_squared_error 0.761362 root_relative_squared_error 0.739949 root_relative_squared_error 0.744337 root_relative_squared_error 0.712823 root_relative_squared_error 0.76325 root_relative_squared_error 0.740839 root_relative_squared_error 0.711018 root_relative_squared_error 0.721022 root_relative_squared_error 0.775035 root_relative_squared_error 0.704076 root_relative_squared_error 0.784944 root_relative_squared_error 0.707471 root_relative_squared_error 0.78609 root_relative_squared_error 0.774159 root_relative_squared_error 0.761605 root_relative_squared_error 0.754854 root_relative_squared_error 0.727851 root_relative_squared_error 0.721246 root_relative_squared_error 0.731351 root_relative_squared_error 0.679281 root_relative_squared_error 0.75501 root_relative_squared_error 0.758033 root_relative_squared_error 0.744463 root_relative_squared_error 0.756774 root_relative_squared_error 0.707661 root_relative_squared_error 0.794274 root_relative_squared_error 0.707636 root_relative_squared_error 0.741134 root_relative_squared_error 0.748009 root_relative_squared_error 0.706044 root_relative_squared_error 0.747938 root_relative_squared_error 0.748618 root_relative_squared_error 0.751507 root_relative_squared_error 0.763827 root_relative_squared_error 0.80098 root_relative_squared_error 0.714643 root_relative_squared_error 0.738628 root_relative_squared_error 0.805892 root_relative_squared_error 0.718673 root_relative_squared_error 0.775847 root_relative_squared_error 0.738148 root_relative_squared_error 0.76842 root_relative_squared_error 0.744157 root_relative_squared_error 0.762663 root_relative_squared_error 0.757643 root_relative_squared_error 0.744248 root_relative_squared_error 0.725021 root_relative_squared_error 0.736466 root_relative_squared_error 0.71702 root_relative_squared_error 0.775822 root_relative_squared_error 0.784304 root_relative_squared_error 0.766347 root_relative_squared_error 0.795845 root_relative_squared_error 0.730212 root_relative_squared_error 0.723202 root_relative_squared_error 0.800424 root_relative_squared_error 0.745578 root_relative_squared_error 0.761986 root_relative_squared_error 0.763146 root_relative_squared_error 0.777507 root_relative_squared_error 0.75233 root_relative_squared_error 0.72913 root_relative_squared_error 0.749568 root_relative_squared_error 0.733227 root_relative_squared_error 0.783276 root_relative_squared_error 0.737364 root_relative_squared_error 0.781298 root_relative_squared_error 0.805267 root_relative_squared_error 0.769843 root_relative_squared_error 0.789523 root_relative_squared_error 0.780482 root_relative_squared_error 0.788668 root_relative_squared_error 0.717187 root_relative_squared_error 0.729781 root_relative_squared_error 0.698879 root_relative_squared_error 0.738982 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 357100 usercpu_time_millis 349560 usercpu_time_millis 375220 usercpu_time_millis 362840 usercpu_time_millis 348180 usercpu_time_millis 352660 usercpu_time_millis 350560 usercpu_time_millis 360210 usercpu_time_millis 365160 usercpu_time_millis 350540 usercpu_time_millis 360340 usercpu_time_millis 356370 usercpu_time_millis 359480 usercpu_time_millis 346730 usercpu_time_millis 354310 usercpu_time_millis 354540 usercpu_time_millis 354910 usercpu_time_millis 362370 usercpu_time_millis 353900 usercpu_time_millis 364670 usercpu_time_millis 355580 usercpu_time_millis 365400 usercpu_time_millis 353460 usercpu_time_millis 362510 usercpu_time_millis 358460 usercpu_time_millis 357710 usercpu_time_millis 350860 usercpu_time_millis 358660 usercpu_time_millis 365410 usercpu_time_millis 349800 usercpu_time_millis 369710 usercpu_time_millis 370140 usercpu_time_millis 345890 usercpu_time_millis 352130 usercpu_time_millis 360850 usercpu_time_millis 357930 usercpu_time_millis 355720 usercpu_time_millis 365730 usercpu_time_millis 369780 usercpu_time_millis 347220 usercpu_time_millis 358890 usercpu_time_millis 358760 usercpu_time_millis 366150 usercpu_time_millis 357440 usercpu_time_millis 360840 usercpu_time_millis 357990 usercpu_time_millis 352620 usercpu_time_millis 362940 usercpu_time_millis 376410 usercpu_time_millis 359450 usercpu_time_millis 363440 usercpu_time_millis 350960 usercpu_time_millis 364080 usercpu_time_millis 359470 usercpu_time_millis 367370 usercpu_time_millis 350750 usercpu_time_millis 362560 usercpu_time_millis 359170 usercpu_time_millis 362950 usercpu_time_millis 351990 usercpu_time_millis 354560 usercpu_time_millis 359870 usercpu_time_millis 371000 usercpu_time_millis 353380 usercpu_time_millis 364900 usercpu_time_millis 355880 usercpu_time_millis 357210 usercpu_time_millis 360210 usercpu_time_millis 356160 usercpu_time_millis 365940 usercpu_time_millis 355510 usercpu_time_millis 374380 usercpu_time_millis 363460 usercpu_time_millis 357880 usercpu_time_millis 370820 usercpu_time_millis 367300 usercpu_time_millis 379240 usercpu_time_millis 352360 usercpu_time_millis 349510 usercpu_time_millis 362660 usercpu_time_millis 356160 usercpu_time_millis 354720 usercpu_time_millis 347430 usercpu_time_millis 349080 usercpu_time_millis 350620 usercpu_time_millis 360100 usercpu_time_millis 361730 usercpu_time_millis 356900 usercpu_time_millis 354870 usercpu_time_millis 353740 usercpu_time_millis 365020 usercpu_time_millis 361890 usercpu_time_millis 358440 usercpu_time_millis 376570 usercpu_time_millis 374720 usercpu_time_millis 353520 usercpu_time_millis 372260 usercpu_time_millis 352570 usercpu_time_millis 347510 usercpu_time_millis 356680 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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