278194 2 Joaquin Vanschoren 4238 Supervised Classification predictive_accuracy 1089 weka.ExtraTree(1) 1859 weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1 K -1 1089 N -1 1089 S 1 1089 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 933849 description https://api.openml.org/data/download/933849/weka_generated_run5790924049428747799.xml -1 933852 model_readable https://api.openml.org/data/download/933852/WekaModel_weka.classifiers.trees.ExtraTree5904753339707098789.model -1 933851 model_serialized https://api.openml.org/data/download/933851/WekaSerialized_weka.classifiers.trees.ExtraTree1673751332994572559.model -1 933850 predictions https://api.openml.org/data/download/933850/weka_generated_predictions4668017981584660486.arff area_under_roc_curve 0.747005 [0.536699,0.887269,0.568456,0.670404,0.50865,0.723704,0.903527,0.565417,0.524438,0.516568,0.640805,0.68602,0.666328,0.741806,0.680171,0.855023,0.631771,0.866096,0.682308,0.648169] average_cost 0 f_measure 0.532928 [0.090909,0.804598,0.165837,0.392675,0.021505,0.492807,0.838691,0.161058,0.068259,0.04878,0.326281,0.451709,0.400233,0.50774,0.423261,0.68717,0.27668,0.748971,0.41283,0.356667] kappa 0.484729 kb_relative_information_score 7349.011631 mean_absolute_error 0.046026 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 0.530217 [0.105263,0.827538,0.18315,0.435666,0.023256,0.451915,0.817777,0.170918,0.088496,0.074074,0.3307,0.556777,0.391354,0.510903,0.465699,0.643564,0.284553,0.760446,0.405185,0.428] predictive_accuracy 0.539744 prior_entropy 3.738083 recall 0.539744 [0.08,0.782895,0.151515,0.357407,0.02,0.541837,0.860704,0.152273,0.055556,0.036364,0.321978,0.38,0.409524,0.504615,0.387912,0.737113,0.269231,0.737838,0.420769,0.305714] relative_absolute_error 0.511828 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.214536 root_relative_squared_error 1.01212 scimark_benchmark 1341.423151 [791.0388663725514, 989.1966392617189, 545.8778951882472, 1111.7217792496772, 3269.280576105668] total_cost 0 usercpu_time_millis 5380 usercpu_time_millis_testing 0 usercpu_time_millis_training 5380 area_under_roc_curve 0.742045 [0.5,0.782359,0.5,0.686755,0.5,0.719853,0.918997,0.593377,0.496774,0.496774,0.686301,0.621711,0.582143,0.707574,0.718821,0.993151,0.5,0.875,0.671329,0.5] area_under_roc_curve 0.757915 [0.496753,1,0.663399,0.486755,0.0,0.682098,0.9549,0.615132,0.5,0.496774,0.64966,0.625,0.675893,0.736667,0.739726,0.989726,1,0.615132,0.590909,0.615132] area_under_roc_curve 0.740122 [0.496753,1,0.483553,0.496689,0.0,0.652132,0.935391,0.580132,0.5,0.5,0.760771,0.618421,0.690179,0.782359,0.589726,0.822603,0.5,1,0.576923,0.830065] area_under_roc_curve 0.748917 [0.75,0.930743,0.493421,0.6,0.5,0.723529,0.897782,0.608553,0.5,0.496774,0.642857,0.743421,0.695726,0.743333,0.679452,0.889726,0.493548,1,0.636364,0.493464] area_under_roc_curve 0.743652 [0.496753,0.714286,0.663399,0.586755,0.496774,0.72378,0.924783,0.593377,0.496774,0.5,0.632877,0.868421,0.60749,0.84372,0.604308,0.972789,0.993548,0.875,0.632867,0.621711] area_under_roc_curve 0.748382 [0.5,0.805743,0.660131,0.7,0.0,0.738235,0.928881,0.470199,0.5,1,0.521542,0.618421,0.633929,0.779003,0.767574,0.882877,0.5,0.996711,0.587413,0.75] area_under_roc_curve 0.752686 [0.493506,0.871622,0.496711,0.583444,0.0,0.627206,0.914176,0.486842,0.496774,0.5,0.698413,0.625,0.592857,0.986577,0.796575,0.832877,0.493548,1,0.811189,0.618421] area_under_roc_curve 0.743476 [0.5,0.805743,0.660131,0.893377,0.0,0.774265,0.924783,0.611842,0.496753,0.490323,0.636054,0.621711,0.662717,0.768936,0.653061,0.779452,0.496774,0.666667,0.555944,0.743421] area_under_roc_curve 0.796641 [0.496774,0.934122,0.820261,0.693377,0.0,0.920588,0.964802,0.740132,0.496753,0.493548,0.689726,0.496711,0.574482,0.772291,0.777778,0.882877,0.5,0.746711,0.72028,0.660131] area_under_roc_curve 0.737083 [0.496774,0.993243,0.490196,0.733333,0.0,0.701114,0.900193,0.740132,0.496753,0.5,0.54195,0.746711,0.680702,0.66,0.493197,0.976027,0.496753,0.746711,0.632867,0.621711] area_under_roc_curve 0.756666 [0.5,0.9375,0.5,0.776821,0.0,0.698529,0.948878,0.486842,0.496753,0.496774,0.632653,0.618421,0.717857,0.561361,0.708617,0.822603,0.5,1,0.72028,0.621711] area_under_roc_curve 0.779095 [0.5,0.871622,0.653595,0.490066,0.5,0.763235,0.950096,0.736842,0.5,0.5,0.839726,0.618421,0.794752,0.663333,0.646259,0.819728,0.5,0.986842,0.625874,0.75] area_under_roc_curve 0.73118 [0.493548,0.9375,0.656863,0.5,0.0,0.750096,0.914176,0.493421,0.496753,0.5,0.639726,0.746711,0.581676,0.73,0.531746,0.982877,0.493548,1,0.545455,0.611842] area_under_roc_curve 0.778742 [0.5,1,0.490196,0.596689,0.0,0.691912,0.912043,0.486842,0.493548,0.5,0.878685,0.5,0.710749,0.857143,0.701814,0.829452,0.5,1,0.748252,1] area_under_roc_curve 0.765273 [0.5,0.853787,0.820261,0.890066,0.5,0.634559,0.920685,0.493377,0.496753,0.5,0.64966,0.625,0.621879,0.915149,0.695011,0.936301,0.5,1,0.77972,0.653595] area_under_roc_curve 0.734431 [0.496753,0.993289,0.490196,0.7,0.0,0.766176,0.902604,0.621711,0.496753,0.5,0.743764,0.5,0.629073,0.63279,0.5839,0.796575,0.5,0.625,0.702797,0.621711] area_under_roc_curve 0.774209 [0.5,0.927365,0.5,0.793377,0.0,0.759559,0.920685,0.680132,0.493548,0.5,0.71542,0.75,0.66875,0.779003,0.663265,0.786301,0.996774,0.996732,0.776224,0.5] area_under_roc_curve 0.765594 [0.5,1,0.493464,0.686755,0.0,0.723529,0.914176,0.615132,0.496774,0.5,0.64966,0.733553,0.692129,0.775647,0.611111,0.8,0.993548,0.746711,0.776224,0.740132] area_under_roc_curve 0.780828 [0.5,0.871622,0.618421,0.596689,0.0,0.784559,0.916586,0.780132,0.496753,1,0.47619,1,0.728735,0.746667,0.656463,0.943151,0.5,0.993421,0.706294,0.660131] area_under_roc_curve 0.718279 [0.496753,0.934122,0.496732,0.736667,0.0,0.605882,0.844744,0.473684,0.5,0.5,0.535147,0.496711,0.670546,0.81,0.708617,0.996575,0.496753,0.656863,0.737762,0.493464] area_under_roc_curve 0.749553 [0.496774,0.996622,0.496732,0.696689,0.0,0.699265,0.954195,0.615132,0.5,0.5,0.590703,0.746711,0.578713,0.663333,0.764172,0.779452,0.5,1,0.63986,0.871711] area_under_roc_curve 0.733691 [0.996774,0.920608,0.625,0.686755,0.5,0.759559,0.856075,0.618421,0.496753,0.5,0.653061,0.75,0.65912,0.656667,0.60771,0.861678,0.5,0.490132,0.70979,0.615132] area_under_roc_curve 0.779772 [0.496774,0.9375,0.490196,0.793377,0.0,0.849265,0.885487,0.490132,0.75,0.493548,0.528345,0.621711,0.614685,0.83,0.774376,0.932877,0.746753,1,0.786713,0.618421] area_under_roc_curve 0.758053 [0.5,0.9375,0.493464,0.786755,0.0,0.734559,0.872469,0.611842,0.496753,0.5,0.642857,1,0.592467,0.694151,0.802721,0.796575,0.996774,1,0.706294,0.615132] area_under_roc_curve 0.718736 [0.5,0.850431,0.480392,0.5,0.5,0.663235,0.905979,0.580132,0.49026,0.496774,0.656463,0.618421,0.647694,0.561361,0.54195,0.879452,0.996774,0.871711,0.681818,0.813725] area_under_roc_curve 0.7427 [0.496753,0.853787,0.490132,0.566667,0.0,0.655882,0.943587,0.618421,0.49026,0.5,0.5839,0.861842,0.596699,0.694151,0.712018,0.882086,0.5,1,0.797203,0.486928] area_under_roc_curve 0.745567 [0.5,0.8125,0.490196,0.696689,0.0,0.682098,0.891273,0.596689,0.496753,0.5,0.590703,0.75,0.688532,0.840364,0.656463,0.858277,1,0.871711,0.699301,0.75] area_under_roc_curve 0.777936 [0.496753,0.875,0.816993,0.573333,0.0,0.841912,0.897782,0.496711,0.496774,0.5,0.760771,0.625,0.765341,0.626079,0.659864,0.826027,0.5,0.865132,0.786713,0.666667] area_under_roc_curve 0.722799 [0.5,0.8125,0.490132,0.693377,0.0,0.716176,0.937801,0.486755,0.5,0.5,0.629252,0.746711,0.629708,0.74,0.54195,0.789726,0.5,0.75,0.664336,0.493464] area_under_roc_curve 0.756413 [0.74026,0.809122,0.493421,0.8,0.0,0.727206,0.822565,0.625,0.496753,0.5,0.861678,0.615132,0.70292,0.743333,0.767574,0.786301,0.75,0.830065,0.706294,1] area_under_roc_curve 0.731654 [0.487097,0.809122,0.486928,0.74,0.0,0.766912,0.861861,0.615132,0.49026,0.5,0.64966,0.621711,0.644096,0.66,0.576027,0.871882,0.496753,1,0.758741,0.496711] area_under_roc_curve 0.746854 [0.5,0.762224,0.743421,0.583333,0.5,0.755147,0.924783,0.743421,0.75,0.496774,0.659864,0.486842,0.614685,0.733333,0.597506,0.833333,1,0.746711,0.77972,0.611842] area_under_roc_curve 0.769881 [0.5,0.996622,0.496732,0.496689,0.0,0.705882,0.927194,0.486842,0.5,0.496774,0.600907,0.618421,0.791155,0.816667,0.646259,0.889726,0.493506,1,0.77972,0.625] area_under_roc_curve 0.76392 [1,0.930743,0.496732,0.693377,0.0,0.716912,0.86837,0.493421,0.743506,0.496774,0.718821,0.746711,0.662717,0.775647,0.639456,0.893151,0.493548,0.871711,0.744755,0.861842] area_under_roc_curve 0.778001 [0.5,1,0.615132,0.793377,0.0,0.741912,0.912488,0.493421,0.746753,0.496774,0.64966,0.625,0.654888,0.896667,0.846575,0.936301,0.993548,0.871711,0.611888,0.496732] area_under_roc_curve 0.721391 [0.493506,0.779003,0.618421,0.663333,0.0,0.663081,0.866942,0.496711,0.49026,0.496774,0.708617,0.621711,0.70292,0.71093,0.54195,0.812925,0.490323,1,0.713287,0.496732] area_under_roc_curve 0.709275 [0.743506,0.868243,0.660131,0.686755,0.0,0.629466,0.889585,0.493377,0.496753,0.5,0.646259,0.740132,0.629708,0.704219,0.545351,0.712018,0.996774,1,0.531469,0.75] area_under_roc_curve 0.725584 [0.743506,0.782359,0.746711,0.663333,0.0,0.647794,0.870781,0.693377,0.5,0.490323,0.600907,0.625,0.687897,0.9,0.594104,0.823129,0.496774,0.996711,0.615385,0.5] area_under_roc_curve 0.767618 [0.5,0.993243,0.615132,0.690066,0.0,0.752206,0.897782,0.486755,0.496753,0.5,0.826531,0.625,0.6843,0.9,0.545351,0.836301,0.490323,1,0.667832,0.993464] area_under_roc_curve 0.745385 [0.496753,0.9375,0.746711,0.890066,0.0,0.701471,0.845468,0.5,0.746753,0.496774,0.64966,0.746711,0.640499,0.903333,0.779452,0.832877,0.5,1,0.524476,0.666667] area_under_roc_curve 0.78047 [0.496774,0.934122,0.5,0.653333,0.0,0.791912,0.9419,0.615132,0.5,0.5,0.653061,0.868421,0.72154,0.656667,0.71542,0.823129,0.746753,1,0.744755,0.490132] area_under_roc_curve 0.757027 [0.493548,0.925216,0.618421,0.74,0.496774,0.716176,0.920685,0.490066,0.493506,0.993548,0.639456,0.618421,0.725138,0.833333,0.718821,0.786301,0.496774,0.666667,0.674825,0.833333] area_under_roc_curve 0.761142 [0.496774,0.785714,0.486928,0.743333,0.0,0.791176,0.933703,0.493421,0.496753,0.5,0.594104,0.618421,0.618282,0.66,0.885488,0.782877,0.746753,0.996711,0.70979,0.746711] area_under_roc_curve 0.747928 [0.496774,0.8125,0.660131,0.823333,0.0,0.712831,0.887175,0.490132,0.49026,0.5,0.646259,0.743421,0.743758,0.785714,0.600907,0.793151,0.5,0.75,0.681818,0.743421] area_under_roc_curve 0.707746 [0.5,0.805743,0.5,0.823333,0.0,0.669853,0.887175,0.496711,0.5,0.5,0.587302,0.490132,0.600296,0.82,0.465986,0.882877,0.493548,0.990132,0.587413,0.663399] area_under_roc_curve 0.741705 [0.496774,0.928571,0.598684,0.573333,0.5,0.587783,0.950096,0.493421,0.487013,0.5,0.732877,0.621711,0.761744,0.823333,0.531746,0.937642,0.75,1,0.58042,0.493464] area_under_roc_curve 0.730649 [0.746753,0.923986,0.496732,0.490066,0.0,0.812908,0.883076,0.483444,0.493506,0.5,0.590703,0.625,0.60749,0.694151,0.75737,0.829932,0.5,0.743421,0.695804,0.493421] area_under_roc_curve 0.74932 [0.49026,0.857143,0.476974,0.743333,0.0,0.745588,0.866683,0.483444,0.5,0.5,0.528345,0.861842,0.644096,0.826667,0.659864,0.937642,0.496774,0.875,0.828671,0.663399] area_under_roc_curve 0.825583 [0.49026,0.996622,0.656863,0.793377,0.0,0.877941,0.924783,0.6,0.487097,0.5,0.708617,0.618421,0.732332,0.993333,0.885488,0.886301,1,0.833333,0.755245,0.75] area_under_roc_curve 0.75035 [0.496753,0.9375,0.493421,0.696689,0.0,0.695588,0.918274,0.476974,0.493548,0.496753,0.535147,0.621711,0.65912,0.74,0.767574,0.929452,0.496774,0.868421,0.765734,0.5] area_under_roc_curve 0.688147 [0.737013,0.805743,0.490196,0.573333,0.0,0.688235,0.841369,0.615132,0.496753,0.5,0.482993,0.5,0.640499,0.643333,0.597506,0.760771,0.993548,0.75,0.692308,0.470395] area_under_roc_curve 0.767454 [0.496774,1,0.493464,0.746667,0.496774,0.727206,0.895371,0.490066,0.746753,0.5,0.590703,0.75,0.783961,0.857143,0.708617,0.879452,0.496774,1,0.657343,0.493464] area_under_roc_curve 0.735307 [0.996774,1,0.663399,0.66,0.5,0.691176,0.896095,0.490132,0.496753,0.5,0.524943,0.746711,0.563055,0.746667,0.823129,0.732877,0.496774,1,0.657343,0.743421] area_under_roc_curve 0.755236 [0.5,0.92186,0.490196,0.74,0.0,0.696696,0.927194,0.490132,0.5,0.5,0.732877,0.75,0.710749,0.704219,0.594104,0.932877,1,0.875,0.632867,0.496711] area_under_roc_curve 0.743519 [0.496774,0.864865,0.496711,0.66,0.0,0.698529,0.904291,0.493421,0.496753,0.5,0.666667,0.740132,0.72154,0.74,0.600907,0.789726,0.993548,0.746711,0.730769,0.663399] area_under_roc_curve 0.749857 [1,1,0.496732,0.563333,0.496774,0.685747,0.931292,0.743421,0.5,0.5,0.639456,0.621711,0.60749,0.653333,0.656463,0.889726,0.743506,0.875,0.706294,0.660131] area_under_roc_curve 0.767908 [0.493548,0.928571,0.650327,0.74,0.5,0.696696,0.909799,0.496711,0.483766,0.5,0.545351,0.993421,0.677105,0.656667,0.937642,0.943151,0.75,0.743421,0.70979,0.490196] area_under_roc_curve 0.739293 [0.5,0.92186,0.496711,0.663333,0.496774,0.730882,0.86837,0.586755,0.5,0.496774,0.646259,0.865132,0.644096,0.816667,0.639456,0.708617,0.5,1,0.776224,0.496732] area_under_roc_curve 0.738506 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[0.5,0.928571,0.493464,0.743333,0.496774,0.73108,0.860174,0.621711,0.49026,0.496774,0.587302,0.621711,0.690179,0.837009,0.597506,0.865079,0.746753,0.865132,0.643357,0.625] area_under_roc_curve 0.77206 [0.5,0.857143,0.663399,0.893377,0.5,0.784559,0.864272,0.893377,0.5,0.493548,0.71542,0.75,0.603893,0.847076,0.701814,0.920635,0.496774,1,0.632867,0.746711] area_under_roc_curve 0.757728 [0.496753,0.92186,0.5,0.596689,0.5,0.73108,0.905979,0.493377,0.493506,0.493548,0.636054,0.871711,0.651291,0.837009,0.767574,0.943151,0.5,0.875,0.629371,0.823529] area_under_roc_curve 0.715046 [0.49026,0.9375,0.663399,0.680132,0.0,0.628698,0.878978,0.593377,0.5,0.5,0.600907,0.621711,0.651926,0.704219,0.698413,0.846575,0.5,0.605263,0.63986,0.493464] area_under_roc_curve 0.744355 [0.496753,0.853787,0.480392,0.826667,0.5,0.738235,0.885487,0.593377,0.487097,0.5,0.590703,0.75,0.622514,0.925216,0.666667,0.823129,0.5,0.871711,0.706294,0.490196] area_under_roc_curve 0.742926 [0.49026,0.92186,0.660131,0.66,0.5,0.689397,0.891273,0.590066,0.49026,0.496774,0.545351,0.493421,0.739526,0.89,0.868481,0.823129,0.493506,0.740132,0.671329,0.5] area_under_roc_curve 0.718666 [0.496753,0.864865,0.660131,0.656667,0.0,0.614099,0.93046,0.730263,0.496753,0.496774,0.535147,0.621711,0.658929,0.656667,0.708617,0.836301,0.49026,0.663399,0.587413,0.625] area_under_roc_curve 0.747593 [0.490323,0.875,0.496732,0.593377,0.5,0.6875,0.916586,0.6,0.5,0.5,0.705215,0.875,0.736564,0.816667,0.531746,0.889726,0.493548,1,0.601399,0.625] area_under_roc_curve 0.790211 [0.496774,0.779003,0.666667,0.736667,0.496774,0.780882,0.914176,0.608553,0.746753,0.5,0.774376,0.75,0.783961,0.66,0.927438,0.882877,0.5,0.736842,0.685315,0.663399] area_under_roc_curve 0.739829 [0.483871,0.746622,0.496732,0.6,0.5,0.72743,0.942503,0.615132,0.496753,0.493548,0.653061,0.740132,0.704464,0.733333,0.646259,0.939726,0.75,0.75,0.538462,0.496711] area_under_roc_curve 0.715842 [0.493506,0.996644,0.496732,0.656667,0.5,0.783711,0.883076,0.486842,0.5,0.5,0.5839,0.621711,0.565179,0.697507,0.69161,0.75737,0.75,0.621711,0.674825,0.486842] area_under_roc_curve 0.7584 [1,0.785714,0.477124,0.593377,0.5,0.67403,0.948878,0.590066,0.746753,0.496774,0.743764,0.496711,0.680702,0.779003,0.750567,0.753968,0.493548,0.996711,0.671329,0.875] area_under_roc_curve 0.73907 [0.5,1,0.660131,0.790066,0.496774,0.79831,0.883076,0.490066,0.746753,0.493548,0.577098,0.493421,0.681337,0.707574,0.656463,0.893151,0.5,0.621711,0.594406,0.660131] area_under_roc_curve 0.713295 [0.5,0.739865,0.496732,0.796689,0.0,0.750096,0.896095,0.496711,0.496753,0.5,0.524943,0.625,0.65912,0.561361,0.653061,0.882877,0.5,0.75,0.625874,0.493464] area_under_roc_curve 0.715829 [0.487013,0.614865,0.5,0.693377,0.496774,0.734729,0.888862,0.470199,0.5,0.5,0.619048,0.740132,0.717943,0.55465,0.597506,0.819728,0.996774,1,0.685315,0.5] area_under_roc_curve 0.714869 [0.5,0.853787,0.615132,0.586755,0.5,0.694853,0.916586,0.496689,0.493506,0.5,0.587302,0.743421,0.613393,0.73,0.597506,0.770975,0.746753,0.75,0.643357,0.663399] area_under_roc_curve 0.741037 [0.5,0.871622,0.496732,0.680132,0.5,0.711295,0.866683,0.483553,0.5,0.5,0.750567,0.875,0.688532,0.489933,0.701814,0.989796,0.49026,0.833333,0.70979,0.625] area_under_roc_curve 0.794748 [0.5,1,0.663399,0.896689,0.5,0.813235,0.920685,0.583444,0.496753,0.5,0.587302,0.746711,0.65912,0.91,0.663265,0.896575,0.996774,0.830065,0.783217,0.746711] area_under_roc_curve 0.74506 [0.5,0.925216,0.653595,0.743333,0.996774,0.669853,0.86837,0.480263,0.5,0.5,0.75737,0.871711,0.633305,0.66,0.653061,0.646575,0.496774,0.871711,0.818182,1] area_under_roc_curve 0.730496 [0.496774,0.875,0.496732,0.593377,0.5,0.730311,0.897782,0.493421,0.496753,0.5,0.636054,0.621711,0.620536,0.564717,0.679452,0.779452,0.730519,1,0.695804,0.861842] area_under_roc_curve 0.740261 [0.5,0.928571,0.650327,0.566667,0.496774,0.723012,0.893684,0.605263,0.5,0.493548,0.646259,0.611842,0.684934,0.697507,0.767574,0.885488,0.75,0.746711,0.65035,0.496711] area_under_roc_curve 0.729236 [0.993548,0.76558,0.496732,0.573333,0.5,0.681329,0.923095,0.686755,0.496753,0.496774,0.576027,0.746711,0.644643,0.707574,0.600907,0.823129,0.496774,0.875,0.762238,0.496711] area_under_roc_curve 0.704873 [0.5,0.853787,0.496711,0.583444,0.5,0.663081,0.843057,0.480132,0.496774,0.496774,0.577098,0.625,0.707152,0.707574,0.708617,0.782877,0.996774,0.865132,0.583916,0.666667] area_under_roc_curve 0.721813 [0.487013,1,0.486928,0.593377,0.0,0.617749,0.849566,0.618421,0.5,0.5,0.531746,0.75,0.633929,0.707574,0.823129,0.726027,0.490323,0.993421,0.776224,0.5] area_under_roc_curve 0.773081 [0.5,0.993243,0.496711,0.6,0.496774,0.715713,0.895514,0.490066,0.75,0.5,0.743764,0.746711,0.69375,0.775647,0.826531,0.882086,0.993548,0.830065,0.748252,0.660131] area_under_roc_curve 0.747904 [0.496753,0.802365,0.625,0.496689,0.5,0.741176,0.937078,0.593377,0.493506,0.493548,0.600907,0.615132,0.713393,0.743333,0.819728,0.823129,0.5,0.830065,0.702797,0.496732] area_under_roc_curve 0.74346 [0.5,0.925216,0.663399,0.696689,0.5,0.791779,0.912488,0.486755,0.5,0.496774,0.590703,0.743421,0.699323,0.639501,0.590703,0.819728,0.5,0.875,0.667832,0.625] area_under_roc_curve 0.748017 [0.5,0.555743,0.650327,0.596689,0.0,0.720588,0.878978,0.490066,0.5,0.5,0.816327,0.75,0.627679,0.626079,0.903628,0.986301,0.996774,0.653595,0.758741,0.618421] area_under_roc_curve 0.743272 [0.496774,0.993243,0.611842,0.683444,0.5,0.694853,0.905979,0.486842,0.496753,1,0.682877,0.75,0.614685,0.823333,0.535147,0.793151,0.5,1,0.695804,0.663399] area_under_roc_curve 0.754315 [0.5,0.809122,0.490196,0.696689,0.5,0.720131,0.904291,0.490132,0.496753,0.5,0.54195,0.868421,0.805544,0.700863,0.712018,0.839726,0.496774,0.833333,0.702797,0.743421] area_under_roc_curve 0.787789 [0.493548,1,0.660131,0.573333,0.5,0.782943,0.963164,0.490132,0.496753,0.5,0.806122,0.621711,0.758146,0.772291,0.548753,0.889726,0.5,0.746711,0.776224,0.663399] area_under_roc_curve 0.761351 [0.496774,0.71093,0.5,0.57,0.496774,0.836343,0.964802,0.586755,0.487013,0.5,0.54195,0.621711,0.749107,0.63279,0.659864,0.893151,1,0.993421,0.706294,0.493421] 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 0.519615 [0,0.666667,0,0.363636,0,0.478261,0.837838,0.25,0,0,0.444444,0.333333,0.25,0.5,0.571429,0.909091,0,0.857143,0.333333,0] f_measure 0.54375 [0,1,0.4,0,0,0.418605,0.916667,0.25,0,0,0.352941,0.4,0.4,0.461538,0.555556,0.869565,1,0.25,0.26087,0.25] f_measure 0.512469 [0,1,0,0,0,0.372093,0.885714,0.166667,0,0,0.526316,0.285714,0.451613,0.666667,0.266667,0.56,0,1,0.222222,0.666667] f_measure 0.534321 [0.666667,0.823529,0,0.333333,0,0.488889,0.828571,0.2,0,0,0.315789,0.5,0.444444,0.545455,0.4,0.761905,0,1,0.363636,0] f_measure 0.517106 [0,0.6,0.4,0.2,0,0.458333,0.882353,0.25,0,0,0.333333,0.666667,0.30303,0.625,0.307692,0.692308,0.5,0.857143,0.347826,0.333333] f_measure 0.542516 [0,0.666667,0.333333,0.571429,0,0.536585,0.895522,0,0,1,0.1,0.285714,0.324324,0.615385,0.588235,0.695652,0,0.888889,0.25,0.666667] f_measure 0.539256 [0,0.8,0,0.181818,0,0.35,0.878788,0,0,0,0.4,0.4,0.275862,0.777778,0.705882,0.636364,0,1,0.5625,0.285714] f_measure 0.525563 [0,0.666667,0.333333,0.727273,0,0.615385,0.882353,0.222222,0,0,0.285714,0.333333,0.388889,0.5,0.375,0.545455,0,0.5,0.190476,0.5] f_measure 0.612015 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[0,0.933333,0,0.363636,0,0.541667,0.811594,0,0,0,0.210526,0.333333,0.222222,0.4,0.363636,0.5,0.666667,0.333333,0.434783,0] f_measure 0.555414 [1,0.727273,0,0.25,0,0.432432,0.927536,0.222222,0.5,0,0.416667,0,0.451613,0.615385,0.454545,0.47619,0,0.888889,0.416667,0.857143] f_measure 0.513089 [0,1,0.333333,0.545455,0,0.590909,0.811594,0,0.5,0,0.190476,0,0.4,0.5,0.4,0.8,0,0.333333,0.272727,0.333333] f_measure 0.458441 [0,0.533333,0,0.666667,0,0.489796,0.8,0,0,0,0.105263,0.4,0.378378,0.181818,0.375,0.695652,0,0.666667,0.32,0] f_measure 0.475283 [0,0.307692,0,0.444444,0,0.488889,0.857143,0,0,0,0.230769,0.444444,0.461538,0.153846,0.266667,0.631579,0.666667,1,0.5,0] f_measure 0.471917 [0,0.769231,0.25,0.2,0,0.444444,0.857143,0,0,0,0.222222,0.5,0.30303,0.4,0.266667,0.625,0.5,0.666667,0.3125,0.4] f_measure 0.514187 [0,0.8,0,0.307692,0,0.514286,0.767123,0,0,0,0.454545,0.857143,0.421053,0,0.421053,0.857143,0,0.8,0.48,0.4] f_measure 0.619814 [0,1,0.4,0.8,0,0.636364,0.869565,0.181818,0,0,0.222222,0.571429,0.378378,0.769231,0.461538,0.842105,0.666667,0.666667,0.571429,0.571429] f_measure 0.532439 [0,0.857143,0.25,0.545455,0.666667,0.409091,0.794118,0,0,0,0.5,0.75,0.342857,0.4,0.375,0.428571,0,0.75,0.6,1] f_measure 0.494902 [0,0.857143,0,0.25,0,0.526316,0.828571,0,0,0,0.285714,0.333333,0.322581,0.2,0.4,0.545455,0.222222,1,0.413793,0.545455] f_measure 0.524975 [0,0.923077,0.222222,0.166667,0,0.5,0.816901,0.181818,0,0,0.333333,0.222222,0.410256,0.4,0.588235,0.823529,0.666667,0.571429,0.444444,0] f_measure 0.487374 [0.5,0.470588,0,0.2,0,0.457143,0.849315,0.363636,0,0,0.210526,0.571429,0.352941,0.5,0.285714,0.666667,0,0.857143,0.470588,0] f_measure 0.460153 [0,0.769231,0,0.181818,0,0.4,0.769231,0,0,0,0.190476,0.4,0.428571,0.5,0.470588,0.571429,0.666667,0.6,0.24,0.5] f_measure 0.486023 [0,1,0,0.25,0,0.333333,0.764706,0.285714,0,0,0.117647,0.666667,0.324324,0.5,0.666667,0.454545,0,0.8,0.533333,0] f_measure 0.572315 [0,0.888889,0,0.333333,0,0.47619,0.821918,0,0.666667,0,0.416667,0.571429,0.466667,0.571429,0.705882,0.777778,0.5,0.666667,0.538462,0.333333] f_measure 0.526194 [0,0.625,0.4,0,0,0.5,0.923077,0.25,0,0,0.285714,0.25,0.409091,0.545455,0.631579,0.666667,0,0.666667,0.444444,0] f_measure 0.519255 [0,0.857143,0.4,0.5,0,0.518519,0.84507,0,0,0,0.235294,0.5,0.457143,0.4,0.235294,0.631579,0,0.857143,0.4,0.4] f_measure 0.516868 [0,0.181818,0.222222,0.285714,0,0.526316,0.8,0,0,0,0.6,0.666667,0.344828,0.285714,0.551724,0.833333,0.666667,0.25,0.608696,0.285714] f_measure 0.525512 [0,0.888889,0.222222,0.333333,0,0.444444,0.852941,0,0,1,0.421053,0.666667,0.322581,0.615385,0.125,0.666667,0,1,0.413793,0.4] f_measure 0.542651 [0,0.714286,0,0.5,0,0.44898,0.821918,0,0,0,0.142857,0.666667,0.666667,0.428571,0.5,0.7,0,0.8,0.444444,0.5] f_measure 0.590318 [0,1,0.333333,0.2,0,0.6,0.942857,0,0,0,0.521739,0.333333,0.540541,0.533333,0.166667,0.761905,0,0.571429,0.533333,0.4] f_measure 0.538179 [0,0.545455,0,0.181818,0,0.6,0.916667,0.2,0,0,0.142857,0.333333,0.529412,0.333333,0.428571,0.8,1,0.8,0.461538,0] kappa 0.478043 kappa 0.503528 kappa 0.469315 kappa 0.489515 kappa 0.477159 kappa 0.48503 kappa 0.493992 kappa 0.472178 kappa 0.582695 kappa 0.466642 kappa 0.498069 kappa 0.547264 kappa 0.449773 kappa 0.548034 kappa 0.521691 kappa 0.46237 kappa 0.540501 kappa 0.520726 kappa 0.554573 kappa 0.424695 kappa 0.489326 kappa 0.460457 kappa 0.554245 kappa 0.508291 kappa 0.422803 kappa 0.471695 kappa 0.483752 kappa 0.546867 kappa 0.434809 kappa 0.511512 kappa 0.451056 kappa 0.483016 kappa 0.531272 kappa 0.521275 kappa 0.548636 kappa 0.432571 kappa 0.411023 kappa 0.445864 kappa 0.527338 kappa 0.489326 kappa 0.552926 kappa 0.504511 kappa 0.515371 kappa 0.48902 kappa 0.404744 kappa 0.470653 kappa 0.449067 kappa 0.491226 kappa 0.642661 kappa 0.486631 kappa 0.364053 kappa 0.526751 kappa 0.466099 kappa 0.502657 kappa 0.479735 kappa 0.490501 kappa 0.526642 kappa 0.470216 kappa 0.470449 kappa 0.489162 kappa 0.373523 kappa 0.416728 kappa 0.438719 kappa 0.506782 kappa 0.476217 kappa 0.440294 kappa 0.556066 kappa 0.498669 kappa 0.463204 kappa 0.541429 kappa 0.506442 kappa 0.419861 kappa 0.482038 kappa 0.473238 kappa 0.42127 kappa 0.48772 kappa 0.570701 kappa 0.466543 kappa 0.419941 kappa 0.50121 kappa 0.468777 kappa 0.418507 kappa 0.416077 kappa 0.418098 kappa 0.475449 kappa 0.583425 kappa 0.484416 kappa 0.449445 kappa 0.470313 kappa 0.447267 kappa 0.39989 kappa 0.435869 kappa 0.539887 kappa 0.482921 kappa 0.479349 kappa 0.485761 kappa 0.477159 kappa 0.501667 kappa 0.561636 kappa 0.509774 kb_relative_information_score 71.822909 kb_relative_information_score 75.188436 kb_relative_information_score 70.915764 kb_relative_information_score 74.186491 kb_relative_information_score 73.238221 kb_relative_information_score 74.336172 kb_relative_information_score 75.067853 kb_relative_information_score 70.653019 kb_relative_information_score 85.818985 kb_relative_information_score 70.821481 kb_relative_information_score 73.248149 kb_relative_information_score 81.321559 kb_relative_information_score 68.23612 kb_relative_information_score 82.429704 kb_relative_information_score 80.421129 kb_relative_information_score 68.377606 kb_relative_information_score 81.930638 kb_relative_information_score 79.002666 kb_relative_information_score 85.034272 kb_relative_information_score 64.402055 kb_relative_information_score 74.509626 kb_relative_information_score 70.12614 kb_relative_information_score 84.588052 kb_relative_information_score 79.649138 kb_relative_information_score 63.853185 kb_relative_information_score 70.776312 kb_relative_information_score 74.911231 kb_relative_information_score 80.853317 kb_relative_information_score 64.198651 kb_relative_information_score 80.473654 kb_relative_information_score 67.631549 kb_relative_information_score 73.189248 kb_relative_information_score 78.621077 kb_relative_information_score 81.319549 kb_relative_information_score 84.245787 kb_relative_information_score 65.576361 kb_relative_information_score 65.713289 kb_relative_information_score 69.988813 kb_relative_information_score 80.334388 kb_relative_information_score 77.887573 kb_relative_information_score 82.652514 kb_relative_information_score 76.106106 kb_relative_information_score 77.59013 kb_relative_information_score 74.525478 kb_relative_information_score 62.193189 kb_relative_information_score 71.118918 kb_relative_information_score 66.782719 kb_relative_information_score 74.546553 kb_relative_information_score 96.66874 kb_relative_information_score 72.266538 kb_relative_information_score 55.651278 kb_relative_information_score 79.756634 kb_relative_information_score 73.003828 kb_relative_information_score 75.98202 kb_relative_information_score 72.281295 kb_relative_information_score 75.255354 kb_relative_information_score 79.98749 kb_relative_information_score 71.959959 kb_relative_information_score 70.384556 kb_relative_information_score 72.530201 kb_relative_information_score 58.336915 kb_relative_information_score 60.605929 kb_relative_information_score 68.951952 kb_relative_information_score 78.84333 kb_relative_information_score 71.552351 kb_relative_information_score 65.557113 kb_relative_information_score 84.353573 kb_relative_information_score 77.648744 kb_relative_information_score 71.583221 kb_relative_information_score 85.251412 kb_relative_information_score 77.146642 kb_relative_information_score 63.848442 kb_relative_information_score 73.458742 kb_relative_information_score 70.737254 kb_relative_information_score 63.266315 kb_relative_information_score 73.772467 kb_relative_information_score 85.62252 kb_relative_information_score 69.064528 kb_relative_information_score 63.03509 kb_relative_information_score 76.229836 kb_relative_information_score 70.429076 kb_relative_information_score 62.059216 kb_relative_information_score 61.913306 kb_relative_information_score 63.525127 kb_relative_information_score 71.870653 kb_relative_information_score 88.905069 kb_relative_information_score 76.420413 kb_relative_information_score 68.462562 kb_relative_information_score 70.916856 kb_relative_information_score 67.514647 kb_relative_information_score 61.880075 kb_relative_information_score 67.671941 kb_relative_information_score 82.319262 kb_relative_information_score 70.784417 kb_relative_information_score 71.63058 kb_relative_information_score 73.361951 kb_relative_information_score 73.58493 kb_relative_information_score 74.980393 kb_relative_information_score 81.710619 kb_relative_information_score 74.060497 mean_absolute_error 0.046154 mean_absolute_error 0.044231 mean_absolute_error 0.047436 mean_absolute_error 0.045513 mean_absolute_error 0.046795 mean_absolute_error 0.046154 mean_absolute_error 0.045513 mean_absolute_error 0.047436 mean_absolute_error 0.037179 mean_absolute_error 0.047436 mean_absolute_error 0.044872 mean_absolute_error 0.040385 mean_absolute_error 0.049359 mean_absolute_error 0.040385 mean_absolute_error 0.042949 mean_absolute_error 0.047436 mean_absolute_error 0.041026 mean_absolute_error 0.042949 mean_absolute_error 0.039744 mean_absolute_error 0.051923 mean_absolute_error 0.045513 mean_absolute_error 0.048077 mean_absolute_error 0.039744 mean_absolute_error 0.044231 mean_absolute_error 0.051923 mean_absolute_error 0.047436 mean_absolute_error 0.046154 mean_absolute_error 0.040385 mean_absolute_error 0.05 mean_absolute_error 0.04359 mean_absolute_error 0.049359 mean_absolute_error 0.046154 mean_absolute_error 0.041667 mean_absolute_error 0.042949 mean_absolute_error 0.040385 mean_absolute_error 0.050641 mean_absolute_error 0.052564 mean_absolute_error 0.049359 mean_absolute_error 0.042308 mean_absolute_error 0.045513 mean_absolute_error 0.039744 mean_absolute_error 0.044231 mean_absolute_error 0.042949 mean_absolute_error 0.045513 mean_absolute_error 0.053205 mean_absolute_error 0.047436 mean_absolute_error 0.049359 mean_absolute_error 0.045513 mean_absolute_error 0.032051 mean_absolute_error 0.046154 mean_absolute_error 0.057051 mean_absolute_error 0.042308 mean_absolute_error 0.047436 mean_absolute_error 0.044231 mean_absolute_error 0.046154 mean_absolute_error 0.045513 mean_absolute_error 0.042308 mean_absolute_error 0.047436 mean_absolute_error 0.046795 mean_absolute_error 0.045513 mean_absolute_error 0.055769 mean_absolute_error 0.051923 mean_absolute_error 0.05 mean_absolute_error 0.044231 mean_absolute_error 0.046154 mean_absolute_error 0.05 mean_absolute_error 0.039744 mean_absolute_error 0.044872 mean_absolute_error 0.048077 mean_absolute_error 0.041026 mean_absolute_error 0.044231 mean_absolute_error 0.051923 mean_absolute_error 0.046154 mean_absolute_error 0.047436 mean_absolute_error 0.051923 mean_absolute_error 0.045513 mean_absolute_error 0.038462 mean_absolute_error 0.047436 mean_absolute_error 0.051923 mean_absolute_error 0.044872 mean_absolute_error 0.047436 mean_absolute_error 0.051282 mean_absolute_error 0.052564 mean_absolute_error 0.051923 mean_absolute_error 0.046795 mean_absolute_error 0.037179 mean_absolute_error 0.046154 mean_absolute_error 0.049359 mean_absolute_error 0.047436 mean_absolute_error 0.049359 mean_absolute_error 0.053846 mean_absolute_error 0.050641 mean_absolute_error 0.041026 mean_absolute_error 0.046154 mean_absolute_error 0.046154 mean_absolute_error 0.046154 mean_absolute_error 0.046795 mean_absolute_error 0.044231 mean_absolute_error 0.039103 mean_absolute_error 0.04359 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 0.524805 [0,0.8,0,0.333333,0,0.423077,0.775,0.333333,0,0,0.5,0.5,0.25,0.6,0.8,0.833333,0,1,0.26087,0] precision 0.548235 [0,1,0.5,0,0,0.375,0.891892,0.25,0,0,0.375,1,0.368421,0.428571,0.625,0.769231,1,0.25,0.3,0.25] precision 0.510755 [0,1,0,0,0,0.333333,0.861111,0.142857,0,0,0.5,0.333333,0.466667,0.8,0.4,0.466667,0,1,0.214286,0.666667] precision 0.548629 [1,0.777778,0,1,0,0.44,0.805556,0.166667,0,0,0.3,0.5,0.421053,0.6,0.4,0.727273,0,1,0.444444,0] precision 0.541814 [0,1,0.5,0.2,0,0.37931,0.882353,0.333333,0,0,0.375,0.6,0.3125,0.555556,0.5,0.529412,0.333333,1,0.4,0.5] precision 0.564189 [0,0.714286,0.333333,1,0,0.52381,0.909091,0,0,1,0.090909,0.333333,0.285714,0.666667,0.625,0.615385,0,0.8,0.272727,1] precision 0.558008 [0,0.857143,0,0.166667,0,0.35,0.90625,0,0,0,0.363636,1,0.307692,0.636364,0.857143,0.583333,0,1,0.473684,0.333333] precision 0.539812 [0,0.714286,0.333333,0.666667,0,0.631579,0.882353,0.2,0,0,0.25,0.5,0.368421,0.444444,0.428571,0.5,0,1,0.25,0.5] precision 0.618102 [0,0.875,0.333333,0.5,0,0.692308,0.868421,0.4,0,0,0.571429,0,0.25,0.5,1,0.615385,0,0.666667,0.666667,0.333333] precision 0.477582 [0,0.8,0,0.375,0,0.37037,0.75,0.4,0,0,0.2,0.666667,0.5,0.5,0,0.588235,0,0.666667,0.4,0.5] precision 0.553189 [0,1,0,0.3,0,0.416667,0.941176,0,0,0,0.230769,0.333333,0.470588,0.25,0.5,0.466667,0,1,0.666667,0.5] precision 0.577011 [0,0.857143,0.2,0,0,0.545455,0.864865,0.333333,0,0,0.7,0.333333,0.578947,0.666667,0.333333,0.6,0,0.5,0.333333,1] precision 0.491292 [0,1,0.25,0,0,0.4,0.90625,0,0,0,0.5,0.666667,0.285714,0.333333,0.125,0.666667,0,1,0.181818,0.2] precision 0.596423 [0,1,0,0.5,0,0.5,0.882353,0,0,0,0.7,0,0.375,1,0.4,0.538462,0,1,0.538462,1] precision 0.553157 [0,0.833333,0.333333,0.571429,0,0.388889,0.857143,0,0,0,0.375,1,0.416667,0.6,0.333333,0.692308,0,1,0.5,0.2] precision 0.523124 [0,0.777778,0,1,0,0.448276,0.704545,0.5,0,0,0.333333,0,0.5,0.4,0.2,0.857143,0,1,0.428571,0.5] precision 0.583624 [0,0.7,0,0.6,0,0.521739,0.857143,0.25,0,0,0.666667,1,0.333333,0.666667,0.75,0.6,0.5,0.75,0.470588,0] precision 0.610991 [0,1,0,0.333333,0,0.44,0.90625,0.25,0,0,0.375,0.285714,0.4,0.571429,1,1,0.333333,0.666667,0.470588,0.4] precision 0.586057 [0,0.857143,0.333333,0.5,0,0.541667,0.833333,0.333333,0,1,0,1,0.473684,0.75,0.5,0.818182,0,0.666667,0.461538,0.333333] precision 0.489419 [0,0.875,0,0.428571,0,0.333333,0.923077,0,0,0,0.142857,0,0.307692,0.363636,0.5,0.909091,0,0.25,0.4375,0] precision 0.542468 [0,0.888889,0,0.666667,0,0.5625,0.888889,0.25,0,0,0.25,0.666667,0.208333,0.666667,0.555556,0.5,0,1,0.25,0.75] precision 0.521278 [0.5,0.583333,1,0.333333,0,0.521739,0.72973,0.333333,0,0,0.428571,1,0.35,0.4,0.666667,0.466667,0,0,0.5,0.25] precision 0.599233 [0,1,0,0.6,0,0.681818,0.74359,0,1,0,0.111111,0.5,0.357143,0.8,0.833333,0.642857,0.5,1,0.571429,0.333333] precision 0.561844 [0,1,0,0.428571,0,0.5,0.818182,0.2,0,0,0.3,1,0.363636,0.333333,0.4,0.857143,0.5,1,0.461538,0.25] precision 0.475234 [0,0.714286,0,0,0,0.444444,0.852941,0.142857,0,0,0.5,0.333333,0.428571,0.25,0.2,0.571429,0.5,0.75,0.3,0.25] precision 0.532599 [0,0.833333,0,0.166667,0,0.4,0.911765,0.333333,0,0,0.2,0.428571,0.263158,0.333333,0.571429,0.777778,0,1,0.727273,0] precision 0.56199 [0,1,0,0.666667,0,0.375,0.848485,0.5,0,0,0.25,1,0.380952,0.5,0.5,0.4375,1,0.75,0.4,1] precision 0.596276 [0,1,0.285714,0.25,0,0.625,0.805556,0,0,0,0.5,1,0.555556,0.285714,0.6,0.5,0,0.5,0.571429,1] precision 0.488965 [0,1,0,0.5,0,0.407407,0.8,0,0,0,0.214286,0.666667,0.315789,0.5,0.2,0.666667,0,1,0.384615,0] precision 0.579291 [0.25,0.833333,0,1,0,0.458333,0.694444,1,0,0,0.466667,0.25,0.470588,0.6,0.625,0.6,1,0.666667,0.461538,1] precision 0.51914 [0,0.833333,0,0.5,0,0.571429,0.83871,0.25,0,0,0.375,0.5,0.4,0.5,0.222222,0.583333,0,1,0.363636,0] precision 0.572811 [0,0.363636,0.5,1,0,0.40625,0.882353,0.5,1,0,0.6,0,0.357143,0.375,0.333333,1,1,0.666667,0.5,0.2] precision 0.549113 [0,0.888889,0,0,0,0.454545,0.815789,0,0,0,0.4,0.333333,0.55,0.444444,0.333333,0.727273,0,1,0.5,1] precision 0.575089 [1,0.777778,0,0.5,0,0.526316,0.794118,0,0.333333,0,0.8,0.666667,0.368421,0.571429,0.272727,0.8,0,0.75,0.5,0.428571] precision 0.592476 [0,1,0.25,0.6,0,0.55,0.810811,0,0.5,0,0.375,1,0.5,0.454545,0.875,0.692308,0.333333,0.75,0.25,0] precision 0.502993 [0,0.666667,0.333333,0.666667,0,0.380952,0.777778,0,0,0,0.5,0.5,0.470588,0.75,0.2,0.5,0,1,0.304348,0] precision 0.464236 [0.333333,0.75,0.333333,0.333333,0,0.318182,0.763158,0,0,0,0.333333,0.4,0.315789,0.5,0.25,0.571429,0.5,1,0.133333,1] precision 0.527184 [0.333333,0.8,0.666667,0.666667,0,0.3,0.736842,0.5,0,0,0.4,1,0.583333,0.5,0.285714,0.666667,0,0.8,0.266667,0] precision 0.564891 [0,0.8,0.25,0.4,0,0.48,0.805556,0,0,0,0.75,1,0.538462,0.5,0.25,0.636364,0,1,0.416667,0.6] precision 0.526032 [0,1,0.666667,0.571429,0,0.354839,0.742857,0,0.5,0,0.375,0.666667,0.375,0.555556,0.5,0.583333,0,1,0.2,1] precision 0.571529 [0,0.875,0,0.333333,0,0.590909,0.820513,0.25,0,0,0.428571,0.6,0.428571,0.4,0.666667,0.666667,0.5,1,0.5,0] precision 0.583946 [0,0.857143,0.333333,0.5,0,0.407407,0.857143,0,0,0.333333,0.272727,0.333333,0.45,1,0.8,0.6,0,1,0.5,1] precision 0.555188 [0,1,0,0.6,0,0.466667,0.780488,0,0,0,0.285714,0.333333,0.384615,0.5,0.875,0.545455,0.5,0.8,0.5,0.666667] precision 0.585052 [0,1,0.333333,0.571429,0,0.34375,0.823529,0,0,0,0.333333,0.5,0.416667,1,0.4,0.75,0,1,0.625,0.5] precision 0.434937 [0,0.714286,0,0.571429,0,0.375,0.823529,0,0,0,0.222222,0,0.277778,0.5,0,0.615385,0,0.571429,0.272727,0.5] precision 0.516917 [0,1,0.111111,0.25,0,0.294118,0.864865,0,0,0,0.5,0.5,0.526316,0.571429,0.125,0.8,1,1,0.230769,0] precision 0.497621 [0.5,0.636364,0,0,0,0.619048,0.8,0,0,0,0.25,1,0.3125,0.333333,0.454545,0.857143,0,0.5,0.375,0] precision 0.554876 [0,1,0,0.6,0,0.578947,0.717949,0,0,0,0.111111,0.428571,0.4,0.666667,0.6,0.8,0,1,0.642857,0.5] precision 0.705476 [0,0.888889,0.25,0.6,0,0.727273,0.882353,1,0,0,0.5,0.333333,0.5,0.75,0.875,0.666667,1,1,0.636364,1] precision 0.546082 [0,1,0,0.666667,0,0.529412,0.935484,0,0,0,0.142857,0.5,0.35,0.5,0.625,0.6,0,0.6,0.4,0] precision 0.428035 [0.2,0.714286,0,0.25,0,0.473684,0.722222,0.25,0,0,0,0,0.375,0.222222,0.333333,0.5,0.333333,1,0.352941,0] precision 0.581502 [0,1,0,0.75,0,0.458333,0.875,0,0.5,0,0.25,1,0.5,1,0.5,0.571429,0,1,0.333333,0] precision 0.506861 [0.5,1,0.5,0.5,0,0.384615,0.731707,0,0,0,0.1,0.666667,0.3,0.75,0.666667,0.5,0,1,0.333333,0.5] precision 0.529563 [0,0.75,0,0.5,0,0.45,0.815789,0,0,0,0.5,1,0.375,0.5,0.285714,0.642857,1,1,0.4,0] precision 0.535439 [0,0.666667,0,0.5,0,0.416667,0.769231,0,0,0,1,0.4,0.428571,0.5,0.4,0.666667,0.333333,0.666667,0.388889,0.5] precision 0.531954 [1,1,0,0.142857,0,0.391304,0.837838,0.5,0,0,0.272727,0.5,0.3125,0.333333,0.5,0.727273,0.333333,1,0.461538,0.333333] precision 0.564118 [0,1,0.166667,0.5,0,0.45,0.794872,0,0,0,0.25,0.666667,0.466667,0.4,0.8,0.818182,1,0.5,0.5,0] precision 0.50227 [0,0.75,0,0.666667,0,0.478261,0.794118,0.2,0,0,0.333333,0.5,0.4,0.444444,0.272727,0.5,0,1,0.470588,0] precision 0.530294 [0,0.857143,0,0.75,0,0.428571,0.72093,0.142857,0,0,0.181818,0,0.571429,0.5,0.75,0.636364,0,1,0.25,1] precision 0.568425 [0,0.888889,0.2,0.2,0,0.451613,0.857143,0,0,0,0.166667,1,0.45,1,1,0.466667,0,0.6,0.428571,0] precision 0.494121 [0,0.727273,0,1,0,0.235294,0.72973,0.333333,0,0,0.1,1,0.25,1,0.5,0.5,0,1,0.384615,0.333333] precision 0.480351 [0,0.2,0,0.25,0,0.481481,0.891892,0.222222,0,0,0.181818,1,0.166667,0,0.75,0.583333,0,0.5,0.416667,1] precision 0.480564 [0,1,0.333333,0.272727,0,0.363636,0.725,0,0,0,0.222222,0.5,0.3,0.714286,0.25,0.8,0,1,0.235294,0.666667] precision 0.546465 [0,0.875,0.2,0.5,0,0.444444,0.857143,0.333333,0,0,0.333333,1,0.25,1,0.222222,0.666667,1,1,0.411765,0] precision 0.515726 [0,0.666667,0,0.2,0,0.464286,0.738095,0,0,0,0.5,1,0.285714,0.666667,0.5,0.818182,0,1,0.214286,1] precision 0.48744 [0,0.875,0.5,0.2,0,0.6,0.75,0,0,0,0.307692,0,0.357143,0.4,0.5,0.7,0,0.6,0.230769,0.333333] precision 0.553045 [0,0.75,0,0,0,0.5,0.818182,0.5,0,0,0,0.5,0.611111,0.571429,0.466667,0.666667,0,1,0.636364,0.75] precision 0.569327 [0,0.6,0.5,1,0,0.611111,0.764706,0.5,0,0,0.615385,0.25,0.304348,0.333333,0.555556,0.583333,1,0.8,0.357143,1] precision 0.528319 [0,1,0,0.6,0,0.407407,0.75,0.5,0,0,0.222222,0.5,0.466667,0.454545,0.333333,0.5,0.5,0.5,0.571429,1] precision 0.588912 [0,1,0.5,0.666667,0,0.541667,0.771429,0.666667,0,0,0.666667,1,0.294118,0.625,0.4,0.533333,0,1,0.4,0.666667] precision 0.541685 [0,0.75,0,0.5,0,0.407407,0.852941,0,0,0,0.25,0.75,0.461538,0.454545,0.625,0.818182,0,1,0.363636,0.4] precision 0.49588 [0,1,0.5,0.25,0,0.428571,0.777778,0.333333,0,0,0.4,0.5,0.318182,0.5,0.363636,0.875,0,0.142857,0.25,0] precision 0.566445 [0,0.833333,0,0.666667,0,0.52381,0.74359,0.333333,0,0,0.25,1,0.285714,0.857143,1,0.666667,0,0.75,0.461538,0] precision 0.510235 [0,0.75,0.333333,0.5,0,0.409091,0.848485,0.25,0,0,0.25,0,0.5625,0.384615,0.538462,0.666667,0,0.4,0.454545,0] precision 0.507345 [0,0.666667,0.333333,0.4,0,0.333333,0.911765,0.25,0,0,0.142857,0.5,0.428571,0.4,0.5,0.636364,0,0.5,0.173913,1] precision 0.567831 [0,1,0,0.333333,0,0.37037,0.833333,1,0,0,0.444444,1,0.384615,0.444444,0.125,0.727273,0,1,0.428571,1] precision 0.640568 [0,0.666667,1,0.428571,0,0.52,0.90625,0.166667,0.5,0,0.833333,1,0.5,0.5,0.615385,0.615385,0,0.333333,0.714286,0.5] precision 0.545694 [0,0.8,0,1,0,0.392857,0.825,0.25,0,0,0.428571,0.4,0.636364,0.375,0.333333,0.75,1,1,0.153846,0] precision 0.464045 [0,0.875,0,0.4,0,0.448276,0.8,0,0,0,0.2,0.5,0.272727,0.375,0.307692,0.454545,1,0.5,0.5,0] precision 0.575574 [1,1,0,0.333333,0,0.444444,0.941176,0.25,0.5,0,0.333333,0,0.5,0.666667,0.384615,0.416667,0,0.8,0.454545,1] precision 0.51299 [0,1,0.333333,0.5,0,0.52,0.8,0,0.5,0,0.166667,0,0.347826,0.6,0.5,0.8,0,0.5,0.333333,0.333333] precision 0.459896 [0,0.571429,0,0.75,0,0.4,0.731707,0,0,0,0.1,1,0.35,0.25,0.428571,0.615385,0,1,0.333333,0] precision 0.499287 [0,0.4,0,0.5,0,0.423077,0.931034,0,0,0,0.176471,0.4,0.409091,0.166667,0.333333,0.6,0.5,1,0.714286,0] precision 0.475783 [0,0.833333,0.25,0.2,0,0.4,0.833333,0,0,0,0.222222,0.5,0.294118,0.333333,0.333333,0.714286,0.5,1,0.263158,0.5] precision 0.519184 [0,0.857143,0,0.25,0,0.5625,0.717949,0,0,0,0.384615,1,0.380952,0,0.4,0.75,0,1,0.5,1] precision 0.626821 [0,1,0.5,0.8,0,0.583333,0.857143,0.166667,0,0,0.222222,0.666667,0.35,0.714286,0.75,0.888889,0.5,0.666667,0.533333,0.666667] precision 0.546135 [0,0.857143,0.2,0.6,0.5,0.375,0.794118,0,0,0,0.454545,0.75,0.333333,0.5,0.428571,0.75,0,0.75,0.529412,1] precision 0.499021 [0,1,0,0.333333,0,0.526316,0.805556,0,0,0,0.25,0.5,0.333333,0.333333,0.4,0.5,0.142857,1,0.375,0.428571] precision 0.550905 [0,1,0.166667,0.166667,0,0.47619,0.783784,0.142857,0,0,0.333333,0.2,0.363636,0.375,0.625,0.875,1,0.666667,0.8,0] precision 0.485899 [0.333333,0.4,0,0.25,0,0.5,0.794872,0.333333,0,0,0.222222,0.666667,0.333333,0.6,0.4,0.666667,0,1,0.380952,0] precision 0.486209 [0,0.833333,0,0.166667,0,0.380952,0.806452,0,0,0,0.166667,1,0.36,0.6,0.5,0.545455,0.5,0.5,0.25,1] precision 0.490726 [0,1,0,0.333333,0,0.352941,0.764706,0.333333,0,0,0.125,1,0.285714,0.6,0.666667,0.416667,0,0.666667,0.470588,0] precision 0.583605 [0,0.8,0,1,0,0.434783,0.789474,0,1,0,0.333333,0.666667,0.5,0.571429,0.75,0.777778,0.333333,0.666667,0.538462,0.333333] precision 0.541382 [0,0.625,1,0,0,0.428571,0.967742,0.333333,0,0,0.4,0.25,0.321429,0.6,0.6,0.666667,0,0.666667,0.428571,0] precision 0.535511 [0,0.857143,0.5,0.666667,0,0.4,0.810811,0,0,0,0.25,0.5,0.444444,0.666667,0.25,0.6,0,1,0.416667,1] precision 0.529239 [0,0.333333,0.166667,0.5,0,0.555556,0.777778,0,0,0,0.545455,1,0.384615,0.285714,0.4,0.714286,0.5,0.2,0.7,0.333333] precision 0.530344 [0,0.8,0.2,0.285714,0,0.4,0.852941,0,0,1,0.444444,1,0.357143,0.571429,0.142857,0.75,0,1,0.375,0.5] precision 0.543092 [0,0.833333,0,0.666667,0,0.366667,0.769231,0,0,0,0.2,0.6,0.6875,0.428571,0.571429,0.7,0,1,0.428571,0.5] precision 0.588278 [0,1,0.333333,0.25,0,0.571429,0.942857,0,0,0,0.428571,0.5,0.5,0.5,0.333333,0.727273,0,0.666667,0.470588,0.5] precision 0.537414 [0,0.75,0,0.2,0,0.483871,0.868421,0.2,0,0,0.2,0.5,0.5,0.4,0.6,0.8,1,0.666667,0.461538,0] predictive_accuracy 0.538462 predictive_accuracy 0.557692 predictive_accuracy 0.525641 predictive_accuracy 0.544872 predictive_accuracy 0.532051 predictive_accuracy 0.538462 predictive_accuracy 0.544872 predictive_accuracy 0.525641 predictive_accuracy 0.628205 predictive_accuracy 0.525641 predictive_accuracy 0.551282 predictive_accuracy 0.596154 predictive_accuracy 0.50641 predictive_accuracy 0.596154 predictive_accuracy 0.570513 predictive_accuracy 0.525641 predictive_accuracy 0.589744 predictive_accuracy 0.570513 predictive_accuracy 0.602564 predictive_accuracy 0.480769 predictive_accuracy 0.544872 predictive_accuracy 0.519231 predictive_accuracy 0.602564 predictive_accuracy 0.557692 predictive_accuracy 0.480769 predictive_accuracy 0.525641 predictive_accuracy 0.538462 predictive_accuracy 0.596154 predictive_accuracy 0.5 predictive_accuracy 0.564103 predictive_accuracy 0.50641 predictive_accuracy 0.538462 predictive_accuracy 0.583333 predictive_accuracy 0.570513 predictive_accuracy 0.596154 predictive_accuracy 0.49359 predictive_accuracy 0.474359 predictive_accuracy 0.50641 predictive_accuracy 0.576923 predictive_accuracy 0.544872 predictive_accuracy 0.602564 predictive_accuracy 0.557692 predictive_accuracy 0.570513 predictive_accuracy 0.544872 predictive_accuracy 0.467949 predictive_accuracy 0.525641 predictive_accuracy 0.50641 predictive_accuracy 0.544872 predictive_accuracy 0.679487 predictive_accuracy 0.538462 predictive_accuracy 0.429487 predictive_accuracy 0.576923 predictive_accuracy 0.525641 predictive_accuracy 0.557692 predictive_accuracy 0.538462 predictive_accuracy 0.544872 predictive_accuracy 0.576923 predictive_accuracy 0.525641 predictive_accuracy 0.532051 predictive_accuracy 0.544872 predictive_accuracy 0.442308 predictive_accuracy 0.480769 predictive_accuracy 0.5 predictive_accuracy 0.557692 predictive_accuracy 0.538462 predictive_accuracy 0.5 predictive_accuracy 0.602564 predictive_accuracy 0.551282 predictive_accuracy 0.519231 predictive_accuracy 0.589744 predictive_accuracy 0.557692 predictive_accuracy 0.480769 predictive_accuracy 0.538462 predictive_accuracy 0.525641 predictive_accuracy 0.480769 predictive_accuracy 0.544872 predictive_accuracy 0.615385 predictive_accuracy 0.525641 predictive_accuracy 0.480769 predictive_accuracy 0.551282 predictive_accuracy 0.525641 predictive_accuracy 0.487179 predictive_accuracy 0.474359 predictive_accuracy 0.480769 predictive_accuracy 0.532051 predictive_accuracy 0.628205 predictive_accuracy 0.538462 predictive_accuracy 0.50641 predictive_accuracy 0.525641 predictive_accuracy 0.50641 predictive_accuracy 0.461538 predictive_accuracy 0.49359 predictive_accuracy 0.589744 predictive_accuracy 0.538462 predictive_accuracy 0.538462 predictive_accuracy 0.538462 predictive_accuracy 0.532051 predictive_accuracy 0.557692 predictive_accuracy 0.608974 predictive_accuracy 0.564103 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 0.538462 [0,0.571429,0,0.4,0,0.55,0.911765,0.2,0,0,0.4,0.25,0.25,0.428571,0.444444,1,0,0.75,0.461538,0] recall 0.557692 [0,1,0.333333,0,0,0.473684,0.942857,0.25,0,0,0.333333,0.25,0.4375,0.5,0.5,1,1,0.25,0.230769,0.25] recall 0.525641 [0,1,0,0,0,0.421053,0.911765,0.2,0,0,0.555556,0.25,0.4375,0.571429,0.2,0.7,0,1,0.230769,0.666667] recall 0.544872 [0.5,0.875,0,0.2,0,0.55,0.852941,0.25,0,0,0.333333,0.5,0.470588,0.5,0.4,0.8,0,1,0.307692,0] recall 0.532051 [0,0.428571,0.333333,0.2,0,0.578947,0.882353,0.2,0,0,0.3,0.75,0.294118,0.714286,0.222222,1,1,0.75,0.307692,0.25] recall 0.538462 [0,0.625,0.333333,0.4,0,0.55,0.882353,0,0,1,0.111111,0.25,0.375,0.571429,0.555556,0.8,0,1,0.230769,0.5] recall 0.544872 [0,0.75,0,0.2,0,0.35,0.852941,0,0,0,0.444444,0.25,0.25,1,0.6,0.7,0,1,0.692308,0.25] recall 0.525641 [0,0.625,0.333333,0.8,0,0.6,0.882353,0.25,0,0,0.333333,0.25,0.411765,0.571429,0.333333,0.6,0,0.333333,0.153846,0.5] recall 0.628205 [0,0.875,0.666667,0.4,0,0.9,0.970588,0.5,0,0,0.4,0,0.235294,0.571429,0.555556,0.8,0,0.5,0.461538,0.333333] recall 0.525641 [0,1,0,0.5,0,0.526316,0.882353,0.5,0,0,0.111111,0.5,0.411765,0.333333,0,1,0,0.5,0.307692,0.25] recall 0.551282 [0,0.875,0,0.6,0,0.5,0.914286,0,0,0,0.333333,0.25,0.5,0.142857,0.444444,0.7,0,1,0.461538,0.25] recall 0.596154 [0,0.75,0.333333,0,0,0.6,0.941176,0.5,0,0,0.7,0.25,0.647059,0.333333,0.333333,0.666667,0,1,0.307692,0.5] recall 0.50641 [0,0.875,0.333333,0,0,0.631579,0.852941,0,0,0,0.3,0.5,0.235294,0.5,0.111111,1,0,1,0.153846,0.25] recall 0.596154 [0,1,0,0.2,0,0.45,0.857143,0,0,0,0.777778,0,0.529412,0.714286,0.444444,0.7,0,1,0.538462,1] recall 0.570513 [0,0.714286,0.666667,0.8,0,0.35,0.882353,0,0,0,0.333333,0.25,0.294118,0.857143,0.444444,0.9,0,1,0.615385,0.333333] recall 0.525641 [0,1,0,0.4,0,0.65,0.911765,0.25,0,0,0.555556,0,0.294118,0.285714,0.222222,0.6,0,0.25,0.461538,0.25] recall 0.589744 [0,0.875,0,0.6,0,0.6,0.882353,0.4,0,0,0.444444,0.5,0.4375,0.571429,0.333333,0.6,1,1,0.615385,0] recall 0.570513 [0,1,0,0.4,0,0.55,0.852941,0.25,0,0,0.333333,0.5,0.470588,0.571429,0.222222,0.6,1,0.5,0.615385,0.5] recall 0.602564 [0,0.75,0.25,0.2,0,0.65,0.882353,0.6,0,1,0,1,0.529412,0.5,0.333333,0.9,0,1,0.461538,0.333333] recall 0.480769 [0,0.875,0,0.5,0,0.3,0.705882,0,0,0,0.111111,0,0.470588,0.666667,0.444444,1,0,0.333333,0.538462,0] recall 0.544872 [0,1,0,0.4,0,0.45,0.941176,0.25,0,0,0.222222,0.5,0.294118,0.333333,0.555556,0.6,0,1,0.384615,0.75] recall 0.519231 [1,0.875,0.25,0.4,0,0.6,0.794118,0.25,0,0,0.333333,0.5,0.411765,0.333333,0.222222,0.777778,0,0,0.461538,0.25] recall 0.602564 [0,0.875,0,0.6,0,0.75,0.852941,0,0.5,0,0.111111,0.25,0.294118,0.666667,0.555556,0.9,0.5,1,0.615385,0.25] recall 0.557692 [0,0.875,0,0.6,0,0.55,0.794118,0.25,0,0,0.333333,1,0.235294,0.428571,0.666667,0.6,1,1,0.461538,0.25] recall 0.480769 [0,0.714286,0,0,0,0.4,0.852941,0.2,0,0,0.333333,0.25,0.352941,0.142857,0.111111,0.8,1,0.75,0.461538,0.666667] recall 0.525641 [0,0.714286,0,0.166667,0,0.4,0.911765,0.25,0,0,0.222222,0.75,0.294118,0.428571,0.444444,0.777778,0,1,0.615385,0] recall 0.538462 [0,0.625,0,0.4,0,0.473684,0.823529,0.2,0,0,0.222222,0.5,0.470588,0.714286,0.333333,0.777778,1,0.75,0.461538,0.5] recall 0.596154 [0,0.75,0.666667,0.166667,0,0.75,0.852941,0,0,0,0.555556,0.25,0.588235,0.285714,0.333333,0.7,0,0.75,0.615385,0.333333] recall 0.5 [0,0.625,0,0.4,0,0.55,0.941176,0,0,0,0.333333,0.5,0.352941,0.5,0.111111,0.6,0,0.5,0.384615,0] recall 0.564103 [0.5,0.625,0,0.6,0,0.55,0.735294,0.25,0,0,0.777778,0.25,0.470588,0.5,0.555556,0.6,0.5,0.666667,0.461538,1] recall 0.50641 [0,0.625,0,0.5,0,0.6,0.764706,0.25,0,0,0.333333,0.25,0.352941,0.333333,0.2,0.777778,0,1,0.615385,0] recall 0.538462 [0,0.571429,0.5,0.166667,0,0.65,0.882353,0.5,0.5,0,0.333333,0,0.294118,0.5,0.222222,0.666667,1,0.5,0.615385,0.25] recall 0.583333 [0,1,0,0,0,0.5,0.911765,0,0,0,0.222222,0.25,0.647059,0.666667,0.333333,0.8,0,1,0.615385,0.25] recall 0.570513 [1,0.875,0,0.4,0,0.5,0.794118,0,0.5,0,0.444444,0.5,0.411765,0.571429,0.333333,0.8,0,0.75,0.538462,0.75] recall 0.596154 [0,1,0.25,0.6,0,0.55,0.882353,0,0.5,0,0.333333,0.25,0.352941,0.833333,0.7,0.9,1,0.75,0.307692,0] recall 0.49359 [0,0.571429,0.25,0.333333,0,0.421053,0.8,0,0,0,0.444444,0.25,0.470588,0.428571,0.111111,0.666667,0,1,0.538462,0] recall 0.474359 [0.5,0.75,0.333333,0.4,0,0.368421,0.852941,0,0,0,0.333333,0.5,0.352941,0.428571,0.111111,0.444444,1,1,0.153846,0.5] recall 0.50641 [0.5,0.571429,0.5,0.333333,0,0.45,0.823529,0.4,0,0,0.222222,0.25,0.411765,0.833333,0.222222,0.666667,0,1,0.307692,0] recall 0.576923 [0,1,0.25,0.4,0,0.6,0.852941,0,0,0,0.666667,0.25,0.411765,0.833333,0.111111,0.7,0,1,0.384615,1] recall 0.544872 [0,0.875,0.5,0.8,0,0.55,0.764706,0,0.5,0,0.333333,0.5,0.352941,0.833333,0.6,0.7,0,1,0.076923,0.333333] recall 0.602564 [0,0.875,0,0.333333,0,0.65,0.941176,0.25,0,0,0.333333,0.75,0.529412,0.333333,0.444444,0.666667,0.5,1,0.538462,0] recall 0.557692 [0,0.857143,0.25,0.5,0,0.55,0.882353,0,0,1,0.333333,0.25,0.529412,0.666667,0.444444,0.6,0,0.333333,0.384615,0.666667] recall 0.570513 [0,0.571429,0,0.5,0,0.7,0.941176,0,0,0,0.222222,0.25,0.294118,0.333333,0.777778,0.6,0.5,1,0.461538,0.5] recall 0.544872 [0,0.625,0.333333,0.666667,0,0.578947,0.823529,0,0,0,0.333333,0.5,0.588235,0.571429,0.222222,0.6,0,0.5,0.384615,0.5] recall 0.467949 [0,0.625,0,0.666667,0,0.45,0.823529,0,0,0,0.222222,0,0.294118,0.666667,0,0.8,0,1,0.230769,0.333333] recall 0.525641 [0,0.857143,0.25,0.166667,0,0.263158,0.941176,0,0,0,0.5,0.25,0.588235,0.666667,0.111111,0.888889,0.5,1,0.230769,0] recall 0.50641 [0.5,0.875,0,0,0,0.684211,0.823529,0,0,0,0.222222,0.25,0.294118,0.428571,0.555556,0.666667,0,0.5,0.461538,0] recall 0.544872 [0,0.714286,0,0.5,0,0.55,0.823529,0,0,0,0.111111,0.75,0.352941,0.666667,0.333333,0.888889,0,0.75,0.692308,0.333333] recall 0.679487 [0,1,0.333333,0.6,0,0.8,0.882353,0.2,0,0,0.444444,0.25,0.529412,1,0.777778,0.8,1,0.666667,0.538462,0.5] recall 0.538462 [0,0.875,0,0.4,0,0.45,0.852941,0,0,0,0.111111,0.25,0.411765,0.5,0.555556,0.9,0,0.75,0.615385,0] recall 0.429487 [0.5,0.625,0,0.166667,0,0.45,0.764706,0.25,0,0,0,0,0.352941,0.333333,0.222222,0.555556,1,0.5,0.461538,0] recall 0.576923 [0,1,0,0.5,0,0.55,0.823529,0,0.5,0,0.222222,0.5,0.647059,0.714286,0.444444,0.8,0,1,0.384615,0] recall 0.525641 [1,1,0.333333,0.333333,0,0.5,0.882353,0,0,0,0.111111,0.5,0.176471,0.5,0.666667,0.5,0,1,0.384615,0.5] recall 0.557692 [0,0.857143,0,0.5,0,0.473684,0.911765,0,0,0,0.5,0.5,0.529412,0.428571,0.222222,0.9,1,0.75,0.307692,0] recall 0.538462 [0,0.75,0,0.333333,0,0.5,0.882353,0,0,0,0.333333,0.5,0.529412,0.5,0.222222,0.6,1,0.5,0.538462,0.333333] recall 0.544872 [1,1,0,0.166667,0,0.473684,0.911765,0.5,0,0,0.333333,0.25,0.294118,0.333333,0.333333,0.8,0.5,0.75,0.461538,0.333333] recall 0.576923 [0,0.857143,0.333333,0.5,0,0.473684,0.885714,0,0,0,0.111111,1,0.411765,0.333333,0.888889,0.9,0.5,0.5,0.461538,0] recall 0.525641 [0,0.857143,0,0.333333,0,0.55,0.794118,0.2,0,0,0.333333,0.75,0.352941,0.666667,0.333333,0.444444,0,1,0.615385,0] recall 0.532051 [0,0.75,0,0.6,0,0.6,0.911765,0.25,0,0,0.222222,0,0.470588,0.5,0.3,0.7,0,0.666667,0.230769,0.5] recall 0.544872 [0,1,0.333333,0.2,0,0.7,0.882353,0,0,0,0.111111,0.5,0.529412,0.571429,0.222222,0.7,0,0.75,0.230769,0] recall 0.442308 [0,1,0,0.333333,0,0.421053,0.794118,0.25,0,0,0.111111,0.25,0.176471,0.5,0.333333,0.4,0,0.5,0.384615,0.333333] recall 0.480769 [0,0.142857,0,0.166667,0,0.65,0.970588,0.4,0,0,0.222222,0.25,0.176471,0,0.333333,0.7,0,0.666667,0.384615,0.666667] recall 0.5 [0,0.857143,0.333333,0.5,0,0.4,0.852941,0,0,0,0.222222,0.25,0.176471,0.714286,0.222222,0.8,0,1,0.307692,0.666667] recall 0.557692 [0,1,0.333333,0.5,0,0.421053,0.882353,0.2,0,0,0.444444,1,0.235294,0.666667,0.222222,0.8,1,0.75,0.538462,0] recall 0.538462 [0,0.75,0,0.166667,0,0.65,0.911765,0,0,0,0.222222,0.25,0.375,0.333333,0.555556,0.9,0,0.666667,0.230769,0.75] recall 0.5 [0,0.875,0.333333,0.2,0,0.631579,0.882353,0,0,0,0.444444,0,0.294118,0.333333,0.2,0.7,0,0.75,0.230769,0.333333] recall 0.602564 [0,0.857143,0,0,0,0.6,0.794118,0.5,0,0,0,0.5,0.647059,0.666667,0.777778,1,0,0.75,0.538462,1] recall 0.551282 [0,0.428571,0.333333,0.4,0,0.578947,0.764706,0.4,0,0,0.8,0.25,0.411765,0.333333,0.555556,0.7,0.5,1,0.384615,0.333333] recall 0.519231 [0,0.857143,0,0.5,0,0.578947,0.794118,0.25,0,0,0.222222,0.25,0.4375,0.714286,0.222222,0.777778,0.5,0.75,0.307692,0.25] recall 0.589744 [0,0.714286,0.333333,0.8,0,0.65,0.794118,0.8,0,0,0.444444,0.5,0.294118,0.714286,0.444444,0.888889,0,1,0.307692,0.5] recall 0.557692 [0,0.857143,0,0.2,0,0.578947,0.852941,0,0,0,0.333333,0.75,0.352941,0.714286,0.555556,0.9,0,0.75,0.307692,0.666667] recall 0.480769 [0,0.875,0.333333,0.4,0,0.315789,0.823529,0.2,0,0,0.222222,0.25,0.411765,0.428571,0.444444,0.7,0,0.25,0.384615,0] recall 0.538462 [0,0.714286,0,0.666667,0,0.55,0.852941,0.2,0,0,0.222222,0.5,0.352941,0.857143,0.333333,0.666667,0,0.75,0.461538,0] recall 0.525641 [0,0.857143,0.333333,0.333333,0,0.473684,0.823529,0.2,0,0,0.111111,0,0.529412,0.833333,0.777778,0.666667,0,0.5,0.384615,0] recall 0.480769 [0,0.75,0.333333,0.333333,0,0.315789,0.885714,0.5,0,0,0.111111,0.25,0.375,0.333333,0.444444,0.7,0,0.333333,0.307692,0.25] recall 0.544872 [0,0.75,0,0.2,0,0.5,0.882353,0.2,0,0,0.444444,0.75,0.588235,0.666667,0.111111,0.8,0,1,0.230769,0.25] recall 0.615385 [0,0.571429,0.333333,0.5,0,0.65,0.852941,0.25,0.5,0,0.555556,0.5,0.647059,0.333333,0.888889,0.8,0,0.5,0.384615,0.333333] recall 0.525641 [0,0.5,0,0.2,0,0.578947,0.942857,0.25,0,0,0.333333,0.5,0.4375,0.5,0.333333,0.9,0.5,0.5,0.153846,0] recall 0.480769 [0,1,0,0.333333,0,0.684211,0.823529,0,0,0,0.222222,0.25,0.1875,0.428571,0.444444,0.555556,0.5,0.25,0.384615,0] recall 0.551282 [1,0.571429,0,0.2,0,0.421053,0.914286,0.2,0.5,0,0.555556,0,0.411765,0.571429,0.555556,0.555556,0,1,0.384615,0.75] recall 0.525641 [0,1,0.333333,0.6,0,0.684211,0.823529,0,0.5,0,0.222222,0,0.470588,0.428571,0.333333,0.8,0,0.25,0.230769,0.333333] recall 0.487179 [0,0.5,0,0.6,0,0.631579,0.882353,0,0,0,0.111111,0.25,0.411765,0.142857,0.333333,0.8,0,0.5,0.307692,0] recall 0.474359 [0,0.25,0,0.4,0,0.578947,0.794118,0,0,0,0.333333,0.5,0.529412,0.142857,0.222222,0.666667,1,1,0.384615,0] recall 0.480769 [0,0.714286,0.25,0.2,0,0.5,0.882353,0,0,0,0.222222,0.5,0.3125,0.5,0.222222,0.555556,0.5,0.5,0.384615,0.333333] recall 0.532051 [0,0.75,0,0.4,0,0.473684,0.823529,0,0,0,0.555556,0.75,0.470588,0,0.444444,1,0,0.666667,0.461538,0.25] recall 0.628205 [0,1,0.333333,0.8,0,0.7,0.882353,0.2,0,0,0.222222,0.5,0.411765,0.833333,0.333333,0.8,1,0.666667,0.615385,0.5] recall 0.538462 [0,0.857143,0.333333,0.5,1,0.45,0.794118,0,0,0,0.555556,0.75,0.352941,0.333333,0.333333,0.3,0,0.75,0.692308,1] recall 0.50641 [0,0.75,0,0.2,0,0.526316,0.852941,0,0,0,0.333333,0.25,0.3125,0.142857,0.4,0.6,0.5,1,0.461538,0.75] recall 0.525641 [0,0.857143,0.333333,0.166667,0,0.526316,0.852941,0.25,0,0,0.333333,0.25,0.470588,0.428571,0.555556,0.777778,0.5,0.5,0.307692,0] recall 0.50641 [1,0.571429,0,0.166667,0,0.421053,0.911765,0.4,0,0,0.2,0.5,0.375,0.428571,0.222222,0.666667,0,0.75,0.615385,0] recall 0.461538 [0,0.714286,0,0.2,0,0.421053,0.735294,0,0,0,0.222222,0.25,0.529412,0.428571,0.444444,0.6,1,0.75,0.230769,0.333333] recall 0.49359 [0,1,0,0.2,0,0.315789,0.764706,0.25,0,0,0.111111,0.5,0.375,0.428571,0.666667,0.5,0,1,0.615385,0] recall 0.589744 [0,1,0,0.2,0,0.526316,0.857143,0,0.5,0,0.555556,0.5,0.4375,0.571429,0.666667,0.777778,1,0.666667,0.538462,0.333333] recall 0.538462 [0,0.625,0.25,0,0,0.6,0.882353,0.2,0,0,0.222222,0.25,0.5625,0.5,0.666667,0.666667,0,0.666667,0.461538,0] recall 0.538462 [0,0.857143,0.333333,0.4,0,0.736842,0.882353,0,0,0,0.222222,0.5,0.470588,0.285714,0.222222,0.666667,0,0.75,0.384615,0.25] recall 0.538462 [0,0.125,0.333333,0.2,0,0.5,0.823529,0,0,0,0.666667,0.5,0.3125,0.285714,0.888889,1,1,0.333333,0.538462,0.25] recall 0.532051 [0,1,0.25,0.4,0,0.5,0.852941,0,0,1,0.4,0.5,0.294118,0.666667,0.111111,0.6,0,1,0.461538,0.333333] recall 0.557692 [0,0.625,0,0.4,0,0.578947,0.882353,0,0,0,0.111111,0.75,0.647059,0.428571,0.444444,0.7,0,0.666667,0.461538,0.5] recall 0.608974 [0,1,0.333333,0.166667,0,0.631579,0.942857,0,0,0,0.666667,0.25,0.588235,0.571429,0.111111,0.8,0,0.5,0.615385,0.333333] recall 0.564103 [0,0.428571,0,0.166667,0,0.789474,0.970588,0.2,0,0,0.111111,0.25,0.5625,0.285714,0.333333,0.8,1,1,0.461538,0] relative_absolute_error 0.513244 relative_absolute_error 0.492174 relative_absolute_error 0.527194 relative_absolute_error 0.506374 relative_absolute_error 0.520119 relative_absolute_error 0.513237 relative_absolute_error 0.506207 relative_absolute_error 0.527744 relative_absolute_error 0.413783 relative_absolute_error 0.527334 relative_absolute_error 0.499648 relative_absolute_error 0.449206 relative_absolute_error 0.548799 relative_absolute_error 0.449902 relative_absolute_error 0.477736 relative_absolute_error 0.527651 relative_absolute_error 0.456202 relative_absolute_error 0.477863 relative_absolute_error 0.442162 relative_absolute_error 0.577579 relative_absolute_error 0.506221 relative_absolute_error 0.534629 relative_absolute_error 0.442104 relative_absolute_error 0.492134 relative_absolute_error 0.577561 relative_absolute_error 0.527544 relative_absolute_error 0.512989 relative_absolute_error 0.449372 relative_absolute_error 0.556268 relative_absolute_error 0.484835 relative_absolute_error 0.549091 relative_absolute_error 0.513193 relative_absolute_error 0.463496 relative_absolute_error 0.477869 relative_absolute_error 0.449388 relative_absolute_error 0.563557 relative_absolute_error 0.584238 relative_absolute_error 0.548878 relative_absolute_error 0.470641 relative_absolute_error 0.506403 relative_absolute_error 0.442018 relative_absolute_error 0.491963 relative_absolute_error 0.47771 relative_absolute_error 0.506074 relative_absolute_error 0.591953 relative_absolute_error 0.527146 relative_absolute_error 0.548614 relative_absolute_error 0.506109 relative_absolute_error 0.356538 relative_absolute_error 0.513394 relative_absolute_error 0.634515 relative_absolute_error 0.470641 relative_absolute_error 0.527601 relative_absolute_error 0.491852 relative_absolute_error 0.513501 relative_absolute_error 0.505887 relative_absolute_error 0.470824 relative_absolute_error 0.52747 relative_absolute_error 0.520642 relative_absolute_error 0.506323 relative_absolute_error 0.619896 relative_absolute_error 0.577618 relative_absolute_error 0.556187 relative_absolute_error 0.491615 relative_absolute_error 0.513091 relative_absolute_error 0.555856 relative_absolute_error 0.442 relative_absolute_error 0.498773 relative_absolute_error 0.533844 relative_absolute_error 0.456217 relative_absolute_error 0.491595 relative_absolute_error 0.577261 relative_absolute_error 0.513281 relative_absolute_error 0.526992 relative_absolute_error 0.57761 relative_absolute_error 0.506278 relative_absolute_error 0.427742 relative_absolute_error 0.527629 relative_absolute_error 0.576551 relative_absolute_error 0.499314 relative_absolute_error 0.527218 relative_absolute_error 0.570068 relative_absolute_error 0.584148 relative_absolute_error 0.576861 relative_absolute_error 0.519966 relative_absolute_error 0.413579 relative_absolute_error 0.513286 relative_absolute_error 0.54847 relative_absolute_error 0.527089 relative_absolute_error 0.548344 relative_absolute_error 0.598504 relative_absolute_error 0.562599 relative_absolute_error 0.456277 relative_absolute_error 0.512855 relative_absolute_error 0.512814 relative_absolute_error 0.513177 relative_absolute_error 0.520645 relative_absolute_error 0.491652 relative_absolute_error 0.435258 relative_absolute_error 0.484265 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 0.214834 root_mean_squared_error 0.210311 root_mean_squared_error 0.217798 root_mean_squared_error 0.213337 root_mean_squared_error 0.216321 root_mean_squared_error 0.214834 root_mean_squared_error 0.213337 root_mean_squared_error 0.217798 root_mean_squared_error 0.19282 root_mean_squared_error 0.217798 root_mean_squared_error 0.21183 root_mean_squared_error 0.200959 root_mean_squared_error 0.222169 root_mean_squared_error 0.200959 root_mean_squared_error 0.207241 root_mean_squared_error 0.217798 root_mean_squared_error 0.202548 root_mean_squared_error 0.207241 root_mean_squared_error 0.199358 root_mean_squared_error 0.227866 root_mean_squared_error 0.213337 root_mean_squared_error 0.219265 root_mean_squared_error 0.199358 root_mean_squared_error 0.210311 root_mean_squared_error 0.227866 root_mean_squared_error 0.217798 root_mean_squared_error 0.214834 root_mean_squared_error 0.200959 root_mean_squared_error 0.223607 root_mean_squared_error 0.208782 root_mean_squared_error 0.222169 root_mean_squared_error 0.214834 root_mean_squared_error 0.204124 root_mean_squared_error 0.207241 root_mean_squared_error 0.200959 root_mean_squared_error 0.225036 root_mean_squared_error 0.229269 root_mean_squared_error 0.222169 root_mean_squared_error 0.205688 root_mean_squared_error 0.213337 root_mean_squared_error 0.199358 root_mean_squared_error 0.210311 root_mean_squared_error 0.207241 root_mean_squared_error 0.213337 root_mean_squared_error 0.230662 root_mean_squared_error 0.217798 root_mean_squared_error 0.222169 root_mean_squared_error 0.213337 root_mean_squared_error 0.179029 root_mean_squared_error 0.214834 root_mean_squared_error 0.238854 root_mean_squared_error 0.205688 root_mean_squared_error 0.217798 root_mean_squared_error 0.210311 root_mean_squared_error 0.214834 root_mean_squared_error 0.213337 root_mean_squared_error 0.205688 root_mean_squared_error 0.217798 root_mean_squared_error 0.216321 root_mean_squared_error 0.213337 root_mean_squared_error 0.236155 root_mean_squared_error 0.227866 root_mean_squared_error 0.223607 root_mean_squared_error 0.210311 root_mean_squared_error 0.214834 root_mean_squared_error 0.223607 root_mean_squared_error 0.199358 root_mean_squared_error 0.21183 root_mean_squared_error 0.219265 root_mean_squared_error 0.202548 root_mean_squared_error 0.210311 root_mean_squared_error 0.227866 root_mean_squared_error 0.214834 root_mean_squared_error 0.217798 root_mean_squared_error 0.227866 root_mean_squared_error 0.213337 root_mean_squared_error 0.196116 root_mean_squared_error 0.217798 root_mean_squared_error 0.227866 root_mean_squared_error 0.21183 root_mean_squared_error 0.217798 root_mean_squared_error 0.226455 root_mean_squared_error 0.229269 root_mean_squared_error 0.227866 root_mean_squared_error 0.216321 root_mean_squared_error 0.19282 root_mean_squared_error 0.214834 root_mean_squared_error 0.222169 root_mean_squared_error 0.217798 root_mean_squared_error 0.222169 root_mean_squared_error 0.232048 root_mean_squared_error 0.225036 root_mean_squared_error 0.202548 root_mean_squared_error 0.214834 root_mean_squared_error 0.214834 root_mean_squared_error 0.214834 root_mean_squared_error 0.216321 root_mean_squared_error 0.210311 root_mean_squared_error 0.197744 root_mean_squared_error 0.208782 root_relative_squared_error 1.01351 root_relative_squared_error 0.992807 root_relative_squared_error 1.026892 root_relative_squared_error 1.006961 root_relative_squared_error 1.020027 root_relative_squared_error 1.013496 root_relative_squared_error 1.006629 root_relative_squared_error 1.027963 root_relative_squared_error 0.910393 root_relative_squared_error 1.027165 root_relative_squared_error 1.000659 root_relative_squared_error 0.9483 root_relative_squared_error 1.047945 root_relative_squared_error 0.949773 root_relative_squared_error 0.977959 root_relative_squared_error 1.027782 root_relative_squared_error 0.955516 root_relative_squared_error 0.97822 root_relative_squared_error 0.940927 root_relative_squared_error 1.075325 root_relative_squared_error 1.006656 root_relative_squared_error 1.034409 root_relative_squared_error 0.940803 root_relative_squared_error 0.992726 root_relative_squared_error 1.075291 root_relative_squared_error 1.027574 root_relative_squared_error 1.013007 root_relative_squared_error 0.948651 root_relative_squared_error 1.055376 root_relative_squared_error 0.985168 root_relative_squared_error 1.048504 root_relative_squared_error 1.013409 root_relative_squared_error 0.963296 root_relative_squared_error 0.978233 root_relative_squared_error 0.948686 root_relative_squared_error 1.062417 root_relative_squared_error 1.081068 root_relative_squared_error 1.048096 root_relative_squared_error 0.970708 root_relative_squared_error 1.00702 root_relative_squared_error 0.940621 root_relative_squared_error 0.992381 root_relative_squared_error 0.977906 root_relative_squared_error 1.006365 root_relative_squared_error 1.088726 root_relative_squared_error 1.0268 root_relative_squared_error 1.04759 root_relative_squared_error 1.006433 root_relative_squared_error 0.844874 root_relative_squared_error 1.013807 root_relative_squared_error 1.126983 root_relative_squared_error 0.970708 root_relative_squared_error 1.027685 root_relative_squared_error 0.992157 root_relative_squared_error 1.014018 root_relative_squared_error 1.005993 root_relative_squared_error 0.971086 root_relative_squared_error 1.02743 root_relative_squared_error 1.021054 root_relative_squared_error 1.006861 root_relative_squared_error 1.1136 root_relative_squared_error 1.075397 root_relative_squared_error 1.055223 root_relative_squared_error 0.991678 root_relative_squared_error 1.013208 root_relative_squared_error 1.054595 root_relative_squared_error 0.940582 root_relative_squared_error 0.998906 root_relative_squared_error 1.03289 root_relative_squared_error 0.955546 root_relative_squared_error 0.991638 root_relative_squared_error 1.074732 root_relative_squared_error 1.013583 root_relative_squared_error 1.026499 root_relative_squared_error 1.075383 root_relative_squared_error 1.00677 root_relative_squared_error 0.925287 root_relative_squared_error 1.027741 root_relative_squared_error 1.073411 root_relative_squared_error 0.999989 root_relative_squared_error 1.026938 root_relative_squared_error 1.067952 root_relative_squared_error 1.080902 root_relative_squared_error 1.073986 root_relative_squared_error 1.019728 root_relative_squared_error 0.909945 root_relative_squared_error 1.013592 root_relative_squared_error 1.047317 root_relative_squared_error 1.026688 root_relative_squared_error 1.047076 root_relative_squared_error 1.094202 root_relative_squared_error 1.060611 root_relative_squared_error 0.955671 root_relative_squared_error 1.012742 root_relative_squared_error 1.01266 root_relative_squared_error 1.013377 root_relative_squared_error 1.021059 root_relative_squared_error 0.991754 root_relative_squared_error 0.933797 root_relative_squared_error 0.984009 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 5180 usercpu_time_millis 5260 usercpu_time_millis 4800 usercpu_time_millis 4770 usercpu_time_millis 4660 usercpu_time_millis 5050 usercpu_time_millis 4800 usercpu_time_millis 4700 usercpu_time_millis 4870 usercpu_time_millis 4620 usercpu_time_millis 5560 usercpu_time_millis 4770 usercpu_time_millis 5230 usercpu_time_millis 5050 usercpu_time_millis 4570 usercpu_time_millis 4440 usercpu_time_millis 5060 usercpu_time_millis 5710 usercpu_time_millis 5240 usercpu_time_millis 4410 usercpu_time_millis 5040 usercpu_time_millis 4650 usercpu_time_millis 5190 usercpu_time_millis 5270 usercpu_time_millis 4890 usercpu_time_millis 4390 usercpu_time_millis 4760 usercpu_time_millis 5080 usercpu_time_millis 5660 usercpu_time_millis 5110 usercpu_time_millis 5160 usercpu_time_millis 5230 usercpu_time_millis 4560 usercpu_time_millis 5050 usercpu_time_millis 4840 usercpu_time_millis 4240 usercpu_time_millis 4830 usercpu_time_millis 4980 usercpu_time_millis 4320 usercpu_time_millis 5310 usercpu_time_millis 5300 usercpu_time_millis 5210 usercpu_time_millis 4850 usercpu_time_millis 4450 usercpu_time_millis 4610 usercpu_time_millis 5180 usercpu_time_millis 4600 usercpu_time_millis 5270 usercpu_time_millis 4150 usercpu_time_millis 4810 usercpu_time_millis 4860 usercpu_time_millis 4840 usercpu_time_millis 4550 usercpu_time_millis 4880 usercpu_time_millis 5010 usercpu_time_millis 4650 usercpu_time_millis 4510 usercpu_time_millis 4990 usercpu_time_millis 5420 usercpu_time_millis 5360 usercpu_time_millis 4700 usercpu_time_millis 5670 usercpu_time_millis 5010 usercpu_time_millis 5210 usercpu_time_millis 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