184981 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1078 weka.RandomTree(10) 1848 weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.001 -S 1 K 0 1078 M 1.0 1078 V 0.001 1078 S 1 1078 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 611746 description https://api.openml.org/data/download/611746/weka_generated_run3097475705586833104.xml -1 611749 model_readable https://api.openml.org/data/download/611749/WekaModel_weka.classifiers.trees.RandomTree1533459414291368587.model -1 611748 model_serialized https://api.openml.org/data/download/611748/WekaSerialized_weka.classifiers.trees.RandomTree7292917820809984876.model -1 611747 predictions https://api.openml.org/data/download/611747/weka_generated_predictions5470086698643525993.arff area_under_roc_curve 0.690116 [0.579348,0.640174,0.716781,0.716941,0.717195,0.57141,0.73951,0.727766,0.574091,0.793838,0.718362,0.550807,0.599589,0.529283,0.583245,0.612142,0.651109,0.545516,0.613851,0.662016,0.697337,0.647651,0.650516,0.554971,0.572237] average_cost 0 f_measure 0.443188 [0.175325,0.278846,0.436181,0.461997,0.432855,0.143646,0.582954,0.415179,0.157609,0.593872,0.562003,0.123711,0.238727,0.068259,0.191235,0.239686,0.307692,0.104348,0.253707,0.391897,0.429837,0.347267,0.319546,0.116456,0.145631] kappa 0.37331 kb_relative_information_score 6091.492843 mean_absolute_error 0.044459 mean_prior_absolute_error 0.070994 number_of_instances 16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.442227 [0.176471,0.268519,0.421359,0.454545,0.418136,0.135417,0.583485,0.375,0.162921,0.576216,0.552632,0.132353,0.269461,0.06993,0.206897,0.235521,0.307692,0.109091,0.268293,0.420217,0.424885,0.412214,0.311216,0.112195,0.141509] predictive_accuracy 0.445263 prior_entropy 3.812516 recall 0.445263 [0.174194,0.29,0.452083,0.469697,0.448649,0.152941,0.582424,0.465,0.152632,0.612644,0.571698,0.116129,0.214286,0.066667,0.177778,0.244,0.307692,0.1,0.240625,0.367153,0.434906,0.3,0.328333,0.121053,0.15] relative_absolute_error 0.626226 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.210653 root_relative_squared_error 1.118753 scimark_benchmark 1333.579873 [787.1121737118738, 1005.1929850806725, 544.2178393368769, 1111.2505451599056, 3220.1258241882724] total_cost 0 usercpu_time_millis 420 usercpu_time_millis_testing 10 usercpu_time_millis_training 410 area_under_roc_curve 0.656331 [0.496914,0.496951,0.796894,0.740385,0.612654,0.496951,0.746411,0.743902,0.493902,0.869781,0.632935,0.484663,0.496914,0.493939,0.490854,0.787578,0.746951,0.487805,0.493865,0.550779,0.636657,0.993939,0.555208,0.496951,0.493939] area_under_roc_curve 0.740741 [0.493865,0.746951,0.740741,0.677564,0.621914,0.5,0.792094,0.984756,0.746951,0.539632,0.822985,0.493865,0.7,0.493902,0.493902,0.696894,1,0.493902,0.5,0.711161,0.948094,0.5,0.904167,0.5,0.5] area_under_roc_curve 0.708853 [0.5,0.743902,0.734568,0.630769,0.75,0.5,0.71645,0.5,0.75,0.990446,0.742615,0.48773,0.618827,0.49697,0.496951,0.487578,0.75,0.5,0.663599,0.765977,0.81173,0.996951,0.570833,0.487805,0.49697] area_under_roc_curve 0.731157 [0.490798,0.75,0.693789,0.877564,0.612654,0.75,0.754158,0.75,0.5,0.875,0.741043,0.657464,0.743827,0.490909,0.651329,0.590683,0.493902,0.75,1,0.632989,0.774359,0.75,0.827083,0.5,0.49697] area_under_roc_curve 0.74076 [0.833333,0.75,0.693789,0.787179,0.660532,0.493939,0.805537,0.493902,0.496951,0.938075,0.77426,0.666667,0.693789,0.493939,0.5,0.6,1,0.493902,0.663599,0.682504,0.727566,0.5,0.7375,0.493902,0.990909] area_under_roc_curve 0.659669 [0.496914,0.493902,0.790683,0.671154,0.75,0.490909,0.663135,0.743902,0.493902,0.8125,0.627069,0.660532,0.603395,0.496951,0.48773,0.591304,0.5,0.743902,0.827198,0.671523,0.659238,0.996951,0.734375,0.487879,0.493939] area_under_roc_curve 0.735836 [0.990798,0.496951,1,0.940385,0.615741,0.5,0.822283,0.496951,0.743902,0.934335,0.74691,0.651329,0.606481,0.5,0.496933,0.593789,0.493939,0.493939,0.743827,0.577538,0.798827,0.5,0.570833,0.493902,0.5] area_under_roc_curve 0.656938 [0.651329,0.75,0.612654,0.637179,0.821063,0.493902,0.663249,0.493902,0.5,0.868671,0.699219,0.490798,0.490683,0.493902,0.490798,0.487578,0.493939,0.5,0.478528,0.714429,0.682111,0.996951,0.570833,0.737805,0.490909] area_under_roc_curve 0.687109 [0.660532,0.496951,0.612654,0.74359,0.990798,0.487805,0.712463,0.746951,0.493902,0.823779,0.752775,0.496933,0.731481,0.5,0.493902,0.581988,0.490909,0.496951,0.865741,0.557315,0.62346,0.746951,0.48125,0.746951,0.99697] area_under_roc_curve 0.680869 [0.496914,0.493902,0.687578,0.571154,0.490741,0.5,0.695375,0.990854,0.487879,0.660297,0.810601,0.493865,0.490741,0.490909,0.493865,0.581366,0.75,0.493939,0.657464,0.714756,0.717595,0.496951,0.567708,0.75,0.993939] area_under_roc_curve 0.702913 [0.824131,0.746951,0.790683,0.483974,0.625,0.490854,0.712577,0.740854,0.990909,0.882519,0.802849,0.657464,0.618827,0.496951,0.743902,0.493789,0.746951,0.5,0.490798,0.595777,0.844282,0.5,0.570833,0.743902,0.49697] area_under_roc_curve 0.668686 [0.493865,0.75,0.5,0.590385,0.625,0.490909,0.773069,0.487805,0.49697,0.869781,0.655982,0.496914,0.584472,0.5,0.493902,0.57764,0.75,0.493902,0.814928,0.736551,0.57478,0.5,0.827083,0.481707,0.5] area_under_roc_curve 0.683364 [0.663599,0.490854,0.793789,1,0.746914,0.5,0.693666,0.5,0.493939,0.81741,0.632935,0.663599,0.490741,0.493939,0.993902,0.784472,0.75,0.487805,0.496933,0.668233,0.701466,0.496951,0.577083,0.5,0.49697] area_under_roc_curve 0.692258 [0.651329,0.496951,0.887578,0.780769,0.612654,0.5,0.810891,0.737805,1,0.715853,0.665829,0.5,0.609568,0.49697,0.5,0.590683,1,0.493902,0.496933,0.691259,0.643109,0.743902,0.561458,0.493902,0.493939] area_under_roc_curve 0.711617 [0.493865,0.490854,0.790683,0.790385,0.740741,0.5,0.746639,0.493902,0.493939,0.740506,0.798973,0.651329,0.596894,0.5,0.490798,0.590683,0.5,0.5,0.496933,0.736842,0.740469,0.5,0.7375,0.5,0.49697] area_under_roc_curve 0.691315 [0.496933,0.5,0.693789,0.677564,0.496914,0.496951,0.76555,0.496951,0.993939,0.712668,0.72753,0.484663,0.796894,0.493939,0.5,0.6,0.5,0.740854,0.811861,0.674812,0.767949,0.5,0.663542,0.5,0.5] area_under_roc_curve 0.66049 [0.490741,0.984756,0.487578,0.737179,0.875,0.496951,0.686033,0.993902,0.75,0.803006,0.692227,0.484663,0.612654,0.5,0.5,0.575776,0.993939,0.5,0.657464,0.557315,0.626686,0.5,0.561458,0.743902,0.49697] area_under_roc_curve 0.686633 [0.660532,0.493902,0.850309,0.683974,0.740741,0.490854,0.678401,0.493902,0.496951,0.746835,0.762309,0.496933,0.593789,0.496951,0.654397,0.681366,0.5,0.987879,0.48773,0.634238,0.756598,0.5,0.740625,0.496951,0.99697] area_under_roc_curve 0.68575 [0.621914,0.5,0.493789,0.690385,0.666667,0.990909,0.70483,0.743902,0.746951,0.765039,0.71014,0.484663,0.618827,0.490854,0.493902,0.478261,0.49697,0.493902,0.496914,0.743087,0.88651,0.743902,0.740625,0.493902,0.487879] area_under_roc_curve 0.731482 [0.5,0.487805,0.793789,0.633974,0.871914,0.746951,0.75393,0.746951,0.496951,0.807856,0.817096,0.490798,0.625,0.493939,0.821063,0.79441,0.5,0.990909,0.654397,0.694549,0.707918,0.993902,0.577083,0.487805,0.49697] area_under_roc_curve 0.701439 [0.666667,0.496951,0.496894,0.730769,0.734568,0.5,0.738893,0.75,0.493902,0.885704,0.698827,0.651329,0.621914,0.5,0.740854,0.786335,0.746951,0.496951,0.657464,0.621166,0.834604,0.746951,0.577083,0.993939,0.493939] area_under_roc_curve 0.677634 [0.484663,0.5,0.596894,0.567949,0.618827,0.487805,0.775461,0.996951,0.490854,0.777778,0.697046,0.830266,0.746914,0.490909,0.987805,0.575776,0.75,0.490854,0.746914,0.539709,0.626686,0.49697,0.638542,0.990909,0.5] area_under_roc_curve 0.635587 [0.493865,0.75,0.7,0.87615,0.740741,0.496951,0.606402,0.743902,0.737805,0.872965,0.594176,0.496933,0.484568,0.496951,0.484663,0.787578,0.49697,0.5,0.493865,0.639098,0.568328,1,0.564583,0.493902,1] area_under_roc_curve 0.681193 [0.660532,0.496951,0.893789,0.630769,0.993827,0.493939,0.761677,0.496951,0.996951,0.709483,0.658496,0.496933,0.481481,0.490909,0.490798,0.475155,0.49697,0.496951,0.490798,0.606673,0.71437,0.496951,0.907292,0.737805,1] area_under_roc_curve 0.642239 [0.660532,0.469512,0.740741,0.830769,0.496914,0.75,0.629187,0.75,0.496951,0.865506,0.675257,0.645194,0.496914,0.496951,0.490798,0.581366,0.493939,0.496951,0.496933,0.580827,0.584457,0.75,0.657292,0.493902,0.5] area_under_roc_curve 0.672742 [0.490798,0.731707,0.487578,0.683974,0.654397,0.734756,0.792208,0.75,0.5,0.706299,0.669705,0.496933,0.590683,0.49697,0.493865,0.687578,0.5,0.5,0.663599,0.697838,0.677564,0.75,0.561458,0.496951,0.490909] area_under_roc_curve 0.684892 [0.490798,0.493902,0.590683,0.767949,0.830266,0.5,0.723855,0.746951,0.484756,0.709483,0.733396,0.615741,0.75,0.493939,0.490798,0.487578,0.493939,0.996951,0.824131,0.707893,0.617009,0.496951,0.657292,0.496951,0.487879] area_under_roc_curve 0.684864 [0.651329,0.496951,0.796894,0.558333,0.618827,0.5,0.712577,0.75,0.496951,0.671677,0.749529,0.496933,0.487654,0.496951,0.660532,0.478261,0.743902,0.493939,0.666667,0.784816,0.831378,0.5,0.657292,0.5,0.5] area_under_roc_curve 0.686181 [0.654397,0.746951,0.487578,0.787179,0.493865,0.493939,0.697425,0.737805,0.5,0.863411,0.712026,0.615741,0.493789,0.496951,0.740854,0.590683,0.993939,0.5,0.496933,0.668703,0.717595,0.5,0.910417,0.5,0.493939] area_under_roc_curve 0.649186 [0.481595,0.496951,0.584472,0.601923,1,0.75,0.68216,0.487805,0.493902,0.863411,0.698617,0.484663,0.493789,0.993939,0.666667,0.585093,1,0.746951,0.490798,0.512688,0.740385,0.5,0.484375,0.5,0.493939] area_under_roc_curve 0.670264 [0.660532,0.990854,0.493789,0.592003,0.868827,0.5,0.689679,0.75,0.487805,0.938075,0.677352,0.493865,0.496914,0.496951,0.654397,0.587578,0.493939,0.487805,0.654397,0.733083,0.637179,0.496951,0.728125,0.496951,0.5] area_under_roc_curve 0.681857 [0.481595,0.496951,0.896894,0.696745,0.493827,0.5,0.784461,0.746951,0.5,0.806171,0.774146,0.490798,0.493827,0.493939,0.5,0.588199,0.490854,0.493902,0.493827,0.655545,0.604106,1,0.490625,0.47561,0.5] area_under_roc_curve 0.692313 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0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.377652 [0,0,0.666667,0.555556,0.222222,0,0.62069,0.4,0,0.636364,0.428571,0,0,0,0,0.5,0.5,0,0,0.173913,0.275862,0.5,0.125,0,0] f_measure 0.51464 [0,0.5,0.444444,0.380952,0.333333,0,0.647887,0.444444,0.5,0.133333,0.707317,0,0.571429,0,0,0.5,1,0,0,0.48,0.869565,0,0.666667,0,0] f_measure 0.474589 [0,0.4,0.363636,0.315789,0.666667,0,0.535211,0,0.666667,0.857143,0.592593,0,0.285714,0,0,0,0.666667,0,0.4,0.571429,0.7,0.8,0.181818,0,0] f_measure 0.523034 [0,0.666667,0.444444,0.64,0.222222,0.666667,0.606061,0.666667,0,0.857143,0.589744,0.285714,0.5,0,0.222222,0.222222,0,0.666667,1,0.380952,0.5,0.666667,0.666667,0,0] f_measure 0.532629 [0.8,0.666667,0.444444,0.6,0.333333,0,0.666667,0,0,0.842105,0.649351,0.5,0.444444,0,0,0.333333,1,0,0.4,0.47619,0.387097,0,0.461538,0,0.4] f_measure 0.396103 [0,0,0.545455,0.347826,0.666667,0,0.472727,0.4,0,0.769231,0.422535,0.333333,0.166667,0,0,0.25,0,0.4,0.571429,0.363636,0.363636,0.8,0.428571,0,0] f_measure 0.507647 [0.666667,0,1,0.818182,0.25,0,0.705882,0,0.4,0.875,0.611111,0.222222,0.181818,0,0,0.25,0,0,0.5,0.230769,0.583333,0,0.181818,0,0] f_measure 0.380778 [0.222222,0.666667,0.222222,0.352941,0.444444,0,0.466667,0,0,0.75,0.542857,0,0,0,0,0,0,0,0,0.5,0.333333,0.8,0.181818,0.285714,0] f_measure 0.430667 [0.333333,0,0.222222,0.588235,0.666667,0,0.548387,0.5,0,0.666667,0.609756,0,0.333333,0,0,0.181818,0,0,0.6,0.190476,0.333333,0.5,0,0.5,0.666667] f_measure 0.413357 [0,0,0.363636,0.190476,0,0,0.516129,0.571429,0,0.428571,0.692308,0,0,0,0,0.166667,0.666667,0,0.285714,0.4,0.526316,0,0.166667,0.666667,0.5] f_measure 0.44504 [0.5,0.5,0.545455,0,0.4,0,0.537313,0.333333,0.4,0.777778,0.675,0.285714,0.285714,0,0.4,0,0.5,0,0,0.272727,0.64,0,0.181818,0.4,0] f_measure 0.393064 [0,0.666667,0,0.266667,0.4,0,0.636364,0,0,0.636364,0.461538,0,0.181818,0,0,0,0.666667,0,0.363636,0.466667,0.222222,0,0.666667,0,0] f_measure 0.430851 [0.4,0,0.6,1,0.571429,0,0.507463,0,0,0.6,0.428571,0.4,0,0,0.666667,0.461538,0.666667,0,0,0.352941,0.416667,0,0.222222,0,0] f_measure 0.436431 [0.222222,0,0.615385,0.545455,0.222222,0,0.69697,0.285714,1,0.533333,0.484848,0,0.2,0,0,0.222222,1,0,0,0.444444,0.296296,0.4,0.142857,0,0] f_measure 0.469099 [0,0,0.545455,0.631579,0.444444,0,0.588235,0,0,0.533333,0.666667,0.222222,0.285714,0,0,0.222222,0,0,0,0.56,0.444444,0,0.461538,0,0] f_measure 0.432263 [0,0,0.444444,0.380952,0,0,0.617647,0,0.5,0.5,0.571429,0,0.666667,0,0,0.333333,0,0.333333,0.333333,0.375,0.461538,0,0.444444,0,0] f_measure 0.385322 [0,0.444444,0,0.526316,0.857143,0,0.5,0.666667,0.666667,0.625,0.518519,0,0.222222,0,0,0.153846,0.5,0,0.285714,0.190476,0.352941,0,0.142857,0.4,0] f_measure 0.426904 [0.333333,0,0.4,0.421053,0.444444,0,0.491803,0,0,0.615385,0.623377,0,0.25,0,0.25,0.307692,0,0.333333,0,0.347826,0.545455,0,0.5,0,0.666667] f_measure 0.431298 [0.333333,0,0,0.470588,0.5,0.4,0.542373,0.4,0.5,0.555556,0.545455,0,0.285714,0,0,0,0,0,0,0.5,0.666667,0.4,0.5,0,0] f_measure 0.51017 [0,0,0.6,0.333333,0.75,0.5,0.642857,0.5,0,0.521739,0.7,0,0.4,0,0.444444,0.666667,0,0.4,0.25,0.461538,0.454545,0.666667,0.222222,0,0] f_measure 0.446936 [0.5,0,0,0.47619,0.363636,0,0.6,0.666667,0,0.823529,0.518519,0.222222,0.333333,0,0.333333,0.25,0.5,0,0.285714,0.296296,0.571429,0.5,0.222222,0.5,0] f_measure 0.420216 [0,0,0.285714,0.181818,0.285714,0,0.636364,0.8,0,0.714286,0.535211,0.666667,0.571429,0,0.5,0.153846,0.666667,0,0.571429,0.083333,0.352941,0,0.235294,0.4,0] f_measure 0.347313 [0,0.666667,0.571429,0.7,0.444444,0,0.363636,0.4,0.285714,0.666667,0.375,0,0,0,0,0.5,0,0,0,0.322581,0.2,1,0.153846,0,1] f_measure 0.424049 [0.333333,0,0.727273,0.315789,0.8,0,0.625,0,0.8,0.470588,0.478873,0,0,0,0,0,0,0,0,0.275862,0.5,0,0.714286,0.285714,1] f_measure 0.360598 [0.333333,0,0.444444,0.608696,0,0.666667,0.40678,0.666667,0,0.705882,0.488372,0.181818,0,0,0,0.166667,0,0,0,0.24,0.266667,0.666667,0.363636,0,0] f_measure 0.404488 [0,0.222222,0,0.421053,0.25,0.25,0.631579,0.666667,0,0.444444,0.492308,0,0.222222,0,0,0.363636,0,0,0.4,0.48,0.380952,0.666667,0.142857,0,0] f_measure 0.431687 [0,0,0.222222,0.461538,0.666667,0,0.5625,0.5,0,0.470588,0.591549,0.25,0.666667,0,0,0,0,0.8,0.5,0.461538,0.3,0,0.363636,0,0] f_measure 0.426003 [0.222222,0,0.666667,0.16,0.285714,0,0.537313,0.666667,0,0.375,0.619718,0,0,0,0.333333,0,0.4,0,0.5,0.571429,0.551724,0,0.363636,0,0] f_measure 0.426003 [0.25,0.5,0,0.6,0,0,0.515152,0.285714,0,0.583333,0.54321,0.25,0,0,0.333333,0.222222,0.5,0,0,0.454545,0.526316,0,0.769231,0,0] f_measure 0.365644 [0,0,0.181818,0.214286,1,0.666667,0.5,0,0,0.583333,0.533333,0,0,0.5,0.5,0.2,1,0.5,0,0.090909,0.555556,0,0,0,0] f_measure 0.395076 [0.333333,0.571429,0,0.235294,0.666667,0,0.517241,0.666667,0,0.842105,0.5,0,0,0,0.25,0.2,0,0,0.25,0.421053,0.352941,0,0.375,0,0] f_measure 0.416136 [0,0,0.8,0.380952,0,0,0.647059,0.5,0,0.666667,0.641026,0,0,0,0,0.222222,0,0,0,0.384615,0.25,1,0,0,0] f_measure 0.444758 [0,0,0.571429,0.736842,0.333333,0.4,0.617647,0,0,0.7,0.54321,0,0.333333,0.666667,0,0,0,0.333333,0.25,0.333333,0.434783,1,0.142857,0,0] f_measure 0.517797 [0,0,0.769231,0.736842,0.285714,0,0.764706,0.333333,0.5,0.666667,0.634146,0.4,0,0,0,0.444444,1,0,0,0.56,0.2,0,0.461538,0,0] f_measure 0.423694 [0.2,1,0.545455,0.333333,0.285714,0.4,0.485714,1,0,0.588235,0.478873,0.285714,0.25,0,0.571429,0.545455,1,0,0.285714,0.333333,0.333333,0.666667,0.333333,0,0] f_measure 0.409215 [0.857143,0,0.307692,0.434783,0.333333,0,0.508475,0,0,0.421053,0.493506,0,0.571429,0,0.666667,0.4,0.5,0.666667,0,0.344828,0.526316,0,0.266667,0,0] f_measure 0.471632 [0.285714,0,0.5,0.526316,0.666667,0.666667,0.571429,0,0,0.6,0.527778,0.4,0.6,0,0.333333,0.5,0,0,0.222222,0.32,0.454545,0.666667,0.615385,0,0] f_measure 0.474573 [0,0.5,0.285714,0.333333,0.333333,0,0.657534,0.4,0,0.6,0.635294,0.5,0,0.5,0.285714,0.333333,0.5,0.666667,0.5,0.333333,0.555556,0,0.2,0,0] f_measure 0.464143 [0,0.333333,0.5,0.466667,0.5,0,0.606061,0.4,0.333333,0.588235,0.550725,0,0,0,0,0.4,0.4,0,0,0.48,0.666667,0,0.470588,0.4,0] f_measure 0.453919 [0.5,0.666667,0.571429,0.3,0.666667,0.666667,0.591549,0.333333,0,0.705882,0.5,0,0.25,0,0,0,0,0.333333,0.4,0.4,0.695652,0.333333,0.307692,0,0] f_measure 0.500587 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[0,0.666667,0.5,0.625,0,0,0.608696,0.666667,0,0.571429,0.634146,0,0.222222,0,0.5,0,0.5,0.5,0,0.434783,0.307692,0,0.461538,0,1] f_measure 0.448219 [0,0.333333,0.222222,0.375,0,0.4,0.571429,0,0,0.545455,0.589744,0.4,0.5,0,0,0.2,0,0,0.333333,0.571429,0.695652,0,0.166667,0.5,0] f_measure 0.399111 [0,0,0.666667,0.454545,0.142857,0,0.45614,0,0,0.47619,0.55814,0.333333,0,0,0,0,0,0,0.4,0.56,0.363636,0.25,0.545455,0,0] f_measure 0.4462 [0,0.4,0.25,0.272727,0.444444,0.5,0.566667,0.4,0,0.375,0.56338,0,0.5,0.5,0,0,1,0.666667,0.666667,0.48,0.518519,1,0.222222,0,0] f_measure 0.410337 [0.8,0,0.571429,0.210526,0.5,0,0.477612,1,0.5,0.555556,0.533333,0,0,0,0,0.545455,0,0,0.5,0.322581,0.608696,0,0,0,1] f_measure 0.478076 [0,0.666667,0.444444,0.555556,0.333333,0,0.760563,0.333333,0,0.777778,0.547945,0.5,0.4,0,0.5,0.4,0,0,0,0.37037,0.26087,0,0.333333,0,0] f_measure 0.37219 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[0,0.8,0.235294,0.3,0.166667,0,0.533333,0,0,0.571429,0.594595,0,0.25,0,0,0.2,1,0,0.25,0.451613,0.782609,0,0.5,0,0] f_measure 0.379249 [0.25,0.666667,0.571429,0.133333,0.75,1,0.392857,0.666667,0,0.571429,0.552632,0,0,0,0,0.333333,0,0,0,0.32,0.315789,0.5,0.153846,0,0.333333] f_measure 0.372 [0,0,0.4,0.380952,0.2,0,0.37931,0.5,0,0.625,0.586667,0,0.5,0,0,0,0,0.285714,0.5,0.166667,0.555556,0.666667,0,0,1] f_measure 0.426563 [0.25,0,0.444444,0.363636,0.25,0,0.523077,0.5,0,0.75,0.567901,0,0.4,0,0.666667,0,0,0,0.5,0.333333,0.307692,0.666667,0.5,0,0] f_measure 0.46945 [0.333333,0,0.666667,0.888889,0,0,0.588235,0.4,0,0.5,0.592593,0,0.285714,0,0,0.4,0,0,0.25,0.384615,0.5,0.666667,0.375,0,0] f_measure 0.379521 [0,0,0.25,0.521739,0,0,0.459016,0.25,0.5,0.526316,0.575342,0.25,0.5,0.5,0,0.307692,0,0,0.5,0.266667,0.125,0,0.285714,0,0] f_measure 0.434167 [0,0,0.444444,0.153846,0.307692,0.4,0.617647,0.666667,0,0.705882,0.586667,0,0.285714,0,0,0.166667,0.5,0,0,0.375,0.454545,0.666667,0.4,0,0] f_measure 0.45682 [0,0.5,0.285714,0.230769,0.666667,0,0.527778,0.333333,0.666667,0.666667,0.605263,0,0.333333,0,0.4,0.25,0,0,0.4,0.518519,0.666667,0,0.307692,0,0] f_measure 0.474852 [0,0.5,0.545455,0.842105,0.666667,0,0.552632,0.5,0,0.705882,0.666667,0,0,0,0,0.222222,0,0,0.333333,0.416667,0.380952,0.333333,0.222222,0,0] f_measure 0.456693 [0,0.285714,0.545455,0.47619,0.25,0.666667,0.428571,0.666667,0,0.588235,0.657534,0.25,0.333333,0,0,0.4,0,0,0.333333,0.384615,0.6,0,0.6,0.333333,0] f_measure 0.458356 [0,0,0.4,0.421053,0.75,0,0.558824,0.4,0,0.444444,0.575342,0,0.285714,0.4,0,0.363636,0.8,0,0,0.615385,0.588235,0,0.333333,0.666667,0] f_measure 0.444561 [0.5,0.333333,0.5,0.363636,0.857143,0.5,0.695652,0.5,0.4,0.545455,0.545455,0,0,0,0,0.2,0,0,0,0.421053,0.3,0,0.25,0.222222,0] f_measure 0.456513 [0,0.5,0.545455,0.315789,0.571429,0,0.603175,0.666667,0,0.666667,0.552632,0.4,0,0,0.444444,0.428571,0,0,0.571429,0.48,0.421053,0,0.235294,0,0] f_measure 0.428605 [0.4,0.4,0.5,0.2,0.857143,0,0.626866,0.5,0,0.777778,0.514286,0,0,0,0.4,0.333333,1,0,0.333333,0.266667,0.333333,0,0.333333,0,0] f_measure 0.437006 [0,0,0.363636,0.347826,0.4,0,0.626866,0.8,0,0.6,0.592593,0.4,0.5,0,0,0.285714,0,0,0.25,0.166667,0.444444,0.285714,0.461538,0,0] f_measure 0.498467 [0,0.333333,0.25,0.952381,0.444444,0,0.685714,0.666667,0,0.714286,0.550725,0.285714,0.222222,0.666667,0.4,0,0,0,0.333333,0.62069,0.2,0.5,0.181818,0,1] f_measure 0.473913 [0,0.5,0.461538,0.4,0.571429,0,0.757576,0.4,1,0.7,0.583333,0,0.222222,0,0,0.285714,0,0,0,0.173913,0.25,0.666667,0.555556,0,1] f_measure 0.452511 [0.333333,0,0.4,0.761905,0.666667,0,0.605263,0.8,0,0.533333,0.526316,0,0,0,0.5,0.181818,1,0,0.4,0.454545,0.173913,0,0.5,0,0.5] f_measure 0.449878 [0,0.4,0.571429,0.375,0.2,0,0.69697,0,0,0.555556,0.615385,0,0.25,0,0,0,0,0,0.8,0.615385,0.190476,0,0.222222,0,0] f_measure 0.431797 [0.166667,0,0.333333,0.25,0.8,0,0.557377,0,0,0.588235,0.56,0,0.333333,0,0,0.461538,0,0,0.333333,0.538462,0.347826,0.4,0.111111,0.666667,0] f_measure 0.400147 [0.666667,0,0.461538,0.666667,0.333333,0,0.608696,0.5,0,0.714286,0.492308,0,0,0,0,0,0,0,0,0.166667,0.333333,0,0.2,0.666667,0.5] f_measure 0.524423 [0,0.5,0.2,0.75,0.888889,0,0.666667,0.5,0,0.666667,0.686567,0.285714,0.333333,0,0,0.428571,0.666667,0,0,0.333333,0.695652,0,0.333333,0.666667,0] f_measure 0.397543 [0,0.5,0.6,0.6,0.4,0,0.459016,0.5,0.333333,0.545455,0.5,0,0.5,0,0,0.181818,0,0,0,0.307692,0.5,0,0.25,0,0] f_measure 0.454914 [0.571429,0.666667,0.666667,0.363636,0.5,0,0.575758,0,0,0.777778,0.60274,0,0.2,0,0,0.333333,0,0,0.333333,0.347826,0.470588,0,0.2,0.5,0] f_measure 0.485785 [0.5,0.666667,0.25,0.421053,0.444444,0,0.716418,0.666667,0,0.5,0.567901,0,0.222222,0,0.4,0.444444,0,0,0.363636,0.428571,0.588235,0,0.2,0.666667,0] f_measure 0.521472 [0.5,0,0.5,0.7,0.444444,0,0.675676,1,0,0.533333,0.606061,0,0.4,0,0.333333,0.181818,0.666667,0,0.4,0.545455,0.592593,0.4,0.352941,0,0] f_measure 0.494051 [0.333333,0.666667,0.5,0.533333,0.285714,0,0.734177,0,0.5,0.631579,0.485714,0.333333,0.444444,0.666667,0,0.166667,0.666667,0,0.333333,0.538462,0.363636,0.666667,0.5,0,0] f_measure 0.448118 [0,0,0.545455,0.818182,0.333333,0,0.515152,0.4,0,0.75,0.545455,0,0.363636,0,0.444444,0.545455,0,0,0,0.571429,0.272727,0,0.2,0,0] f_measure 0.49692 [0.307692,0.5,0.5,0.555556,0.666667,0.5,0.636364,0.666667,0,0.636364,0.535211,0.4,0.444444,0,0.666667,0,0.5,0,0.8,0.444444,0.347826,1,0.428571,0,0] f_measure 0.43409 [0,0.666667,0.444444,0.444444,0.333333,0,0.542373,0.5,0.666667,0.470588,0.552632,0,0.285714,0,0,0.333333,0,0,0,0.521739,0.352941,1,0.285714,0,0] f_measure 0.408266 [0.363636,0,0.363636,0.555556,0,0.4,0.441176,1,0,0.5,0.634146,0,0,1,0,0.444444,0,0,0.571429,0.166667,0.352941,0,0.444444,0,0.666667] f_measure 0.52028 [0,0.666667,0.727273,0.736842,0.75,0,0.628571,0.666667,0,0.235294,0.605263,0,0.333333,0,0,0.25,1,0,0,0.62069,0.7,0,0.363636,0.5,0] f_measure 0.31561 [0.285714,0.5,0.352941,0.190476,0.571429,0,0.421053,0,0,0.181818,0.512195,0,0,0,0,0.25,0,0,0.25,0.413793,0.105263,0,0.222222,0,0] f_measure 0.369959 [0,0.5,0,0.416667,0.857143,0,0.617647,0.5,0,0.666667,0.457143,0,0,0,0,0,0,0.333333,0,0.347826,0.296296,0,0,0,0] f_measure 0.437329 [0.166667,0,0.333333,0.444444,0.333333,0,0.647059,0,0,0.4,0.513514,0.285714,0.5,0,0.8,0.181818,0,0,0,0.538462,0.533333,0.666667,0.142857,0,0] f_measure 0.435254 [0,0.5,0.545455,0.615385,0.333333,0,0.597015,0.666667,0.4,0.5,0.634146,0,0,0,0,0.444444,0,0,0,0.461538,0.26087,0.5,0,0,0] f_measure 0.442819 [0,0.8,0.8,0.25,0.5,0,0.645161,0,0.4,0.666667,0.512821,0.285714,0.571429,0,0.5,0.181818,0.4,0.666667,0.571429,0.166667,0.32,0,0.285714,0,0] f_measure 0.434158 [0,0,0.714286,0.777778,0.571429,0.4,0.508475,0.4,0,0.6,0.493506,0,0.285714,0,0,0.5,0.666667,0,0,0.347826,0.434783,0,0.5,0,0] f_measure 0.3953 [0.571429,0,0.666667,0.5,0.4,0,0.507937,0.571429,0,0.434783,0.567568,0,0,0,0.222222,0.2,0,0,0.75,0.166667,0.272727,0.666667,0,0.4,0] f_measure 0.375688 [0,0,0.5,0.47619,0.666667,0.5,0.527778,0.666667,0,0.421053,0.592593,0,0,0,0.4,0.2,0,0,0,0.111111,0.2,0,0.363636,0,0] f_measure 0.476063 [0,0.5,0.5,0.47619,0.4,0.5,0.626866,0.666667,0,0.8,0.575342,0,0,0,0,0.133333,0,0,0,0.615385,0.5,0.4,0.285714,0.5,0] f_measure 0.459437 [0,0,0.75,0.526316,0.571429,0,0.586207,0.8,0.222222,0.375,0.586667,0.4,0.222222,0,0.4,0.181818,0,0,0,0.5,0.363636,1,0.285714,0.25,0] kappa 0.303309 kappa 0.474858 kappa 0.420136 kappa 0.461128 kappa 0.47736 kappa 0.317478 kappa 0.463267 kappa 0.302972 kappa 0.366932 kappa 0.340892 kappa 0.398303 kappa 0.324121 kappa 0.368279 kappa 0.373839 kappa 0.415154 kappa 0.375966 kappa 0.318723 kappa 0.364399 kappa 0.363881 kappa 0.45219 kappa 0.386397 kappa 0.339075 kappa 0.275287 kappa 0.358735 kappa 0.282982 kappa 0.335267 kappa 0.359021 kappa 0.360806 kappa 0.369993 kappa 0.2908 kappa 0.333793 kappa 0.349959 kappa 0.381674 kappa 0.477035 kappa 0.356327 kappa 0.335864 kappa 0.406082 kappa 0.417081 kappa 0.418161 kappa 0.384032 kappa 0.444242 kappa 0.445983 kappa 0.298083 kappa 0.319108 kappa 0.377226 kappa 0.373328 kappa 0.387632 kappa 0.395539 kappa 0.336602 kappa 0.381725 kappa 0.338618 kappa 0.413114 kappa 0.289586 kappa 0.343499 kappa 0.37622 kappa 0.336217 kappa 0.374473 kappa 0.355195 kappa 0.371801 kappa 0.320554 kappa 0.287871 kappa 0.354166 kappa 0.409228 kappa 0.304959 kappa 0.365788 kappa 0.388367 kappa 0.426936 kappa 0.393589 kappa 0.389631 kappa 0.38516 kappa 0.398882 kappa 0.352487 kappa 0.377724 kappa 0.440377 kappa 0.419687 kappa 0.396519 kappa 0.381585 kappa 0.353448 kappa 0.335962 kappa 0.487047 kappa 0.334349 kappa 0.379827 kappa 0.425449 kappa 0.467125 kappa 0.440561 kappa 0.382998 kappa 0.44047 kappa 0.366119 kappa 0.35004 kappa 0.469099 kappa 0.238905 kappa 0.290264 kappa 0.357125 kappa 0.370941 kappa 0.378158 kappa 0.380544 kappa 0.33259 kappa 0.313223 kappa 0.411521 kappa 0.38831 kb_relative_information_score 50.35758 kb_relative_information_score 73.98037 kb_relative_information_score 68.250097 kb_relative_information_score 76.718146 kb_relative_information_score 75.680097 kb_relative_information_score 56.085758 kb_relative_information_score 73.33868 kb_relative_information_score 49.636406 kb_relative_information_score 60.729982 kb_relative_information_score 54.3789 kb_relative_information_score 64.934902 kb_relative_information_score 53.103225 kb_relative_information_score 63.139993 kb_relative_information_score 61.027477 kb_relative_information_score 63.468627 kb_relative_information_score 59.83801 kb_relative_information_score 55.23184 kb_relative_information_score 59.396229 kb_relative_information_score 58.798319 kb_relative_information_score 72.623958 kb_relative_information_score 65.961807 kb_relative_information_score 57.555868 kb_relative_information_score 51.277191 kb_relative_information_score 60.056092 kb_relative_information_score 48.774172 kb_relative_information_score 53.69483 kb_relative_information_score 58.06677 kb_relative_information_score 57.367668 kb_relative_information_score 60.831504 kb_relative_information_score 49.007627 kb_relative_information_score 56.014839 kb_relative_information_score 52.381946 kb_relative_information_score 61.445251 kb_relative_information_score 73.456146 kb_relative_information_score 64.417699 kb_relative_information_score 57.30712 kb_relative_information_score 68.826871 kb_relative_information_score 66.911035 kb_relative_information_score 67.84313 kb_relative_information_score 64.149302 kb_relative_information_score 69.43827 kb_relative_information_score 70.634271 kb_relative_information_score 51.804942 kb_relative_information_score 53.265587 kb_relative_information_score 61.580787 kb_relative_information_score 61.220731 kb_relative_information_score 61.445014 kb_relative_information_score 62.761262 kb_relative_information_score 54.856422 kb_relative_information_score 65.263938 kb_relative_information_score 57.838113 kb_relative_information_score 64.197384 kb_relative_information_score 49.792634 kb_relative_information_score 54.171392 kb_relative_information_score 60.181899 kb_relative_information_score 53.471177 kb_relative_information_score 59.785212 kb_relative_information_score 55.841463 kb_relative_information_score 60.187571 kb_relative_information_score 56.661723 kb_relative_information_score 48.632923 kb_relative_information_score 59.87708 kb_relative_information_score 65.305536 kb_relative_information_score 50.627351 kb_relative_information_score 58.397947 kb_relative_information_score 62.676237 kb_relative_information_score 66.846461 kb_relative_information_score 65.357568 kb_relative_information_score 63.925295 kb_relative_information_score 62.083229 kb_relative_information_score 65.304981 kb_relative_information_score 57.992104 kb_relative_information_score 60.110794 kb_relative_information_score 71.006886 kb_relative_information_score 67.442151 kb_relative_information_score 65.159206 kb_relative_information_score 57.334939 kb_relative_information_score 57.096673 kb_relative_information_score 54.54881 kb_relative_information_score 76.971161 kb_relative_information_score 56.34469 kb_relative_information_score 60.761347 kb_relative_information_score 67.308339 kb_relative_information_score 74.547318 kb_relative_information_score 71.307114 kb_relative_information_score 61.628397 kb_relative_information_score 74.343803 kb_relative_information_score 60.2193 kb_relative_information_score 58.726326 kb_relative_information_score 75.927771 kb_relative_information_score 40.057404 kb_relative_information_score 46.239613 kb_relative_information_score 56.49297 kb_relative_information_score 57.763295 kb_relative_information_score 64.438823 kb_relative_information_score 64.185615 kb_relative_information_score 55.950307 kb_relative_information_score 50.219021 kb_relative_information_score 64.687695 kb_relative_information_score 63.181114 mean_absolute_error 0.05012 mean_absolute_error 0.036627 mean_absolute_error 0.040803 mean_absolute_error 0.038072 mean_absolute_error 0.036867 mean_absolute_error 0.049277 mean_absolute_error 0.038072 mean_absolute_error 0.05012 mean_absolute_error 0.04494 mean_absolute_error 0.046506 mean_absolute_error 0.04241 mean_absolute_error 0.047614 mean_absolute_error 0.044819 mean_absolute_error 0.044819 mean_absolute_error 0.040964 mean_absolute_error 0.043855 mean_absolute_error 0.048313 mean_absolute_error 0.045301 mean_absolute_error 0.045301 mean_absolute_error 0.039277 mean_absolute_error 0.043253 mean_absolute_error 0.047108 mean_absolute_error 0.051566 mean_absolute_error 0.046265 mean_absolute_error 0.050602 mean_absolute_error 0.047229 mean_absolute_error 0.045783 mean_absolute_error 0.045422 mean_absolute_error 0.044337 mean_absolute_error 0.050723 mean_absolute_error 0.047711 mean_absolute_error 0.04588 mean_absolute_error 0.043494 mean_absolute_error 0.036747 mean_absolute_error 0.045783 mean_absolute_error 0.047229 mean_absolute_error 0.04241 mean_absolute_error 0.040386 mean_absolute_error 0.041928 mean_absolute_error 0.043855 mean_absolute_error 0.039036 mean_absolute_error 0.039133 mean_absolute_error 0.049639 mean_absolute_error 0.047711 mean_absolute_error 0.043952 mean_absolute_error 0.044458 mean_absolute_error 0.042892 mean_absolute_error 0.04241 mean_absolute_error 0.046747 mean_absolute_error 0.044627 mean_absolute_error 0.046867 mean_absolute_error 0.041687 mean_absolute_error 0.050723 mean_absolute_error 0.047108 mean_absolute_error 0.044337 mean_absolute_error 0.047229 mean_absolute_error 0.04494 mean_absolute_error 0.045904 mean_absolute_error 0.044819 mean_absolute_error 0.048675 mean_absolute_error 0.051084 mean_absolute_error 0.045181 mean_absolute_error 0.041446 mean_absolute_error 0.049639 mean_absolute_error 0.044819 mean_absolute_error 0.043012 mean_absolute_error 0.039639 mean_absolute_error 0.043084 mean_absolute_error 0.043373 mean_absolute_error 0.043373 mean_absolute_error 0.04303 mean_absolute_error 0.046061 mean_absolute_error 0.043879 mean_absolute_error 0.039758 mean_absolute_error 0.041212 mean_absolute_error 0.042667 mean_absolute_error 0.043636 mean_absolute_error 0.046182 mean_absolute_error 0.047838 mean_absolute_error 0.036364 mean_absolute_error 0.047515 mean_absolute_error 0.044121 mean_absolute_error 0.040242 mean_absolute_error 0.037818 mean_absolute_error 0.039273 mean_absolute_error 0.044121 mean_absolute_error 0.039758 mean_absolute_error 0.045188 mean_absolute_error 0.045818 mean_absolute_error 0.037455 mean_absolute_error 0.053939 mean_absolute_error 0.050424 mean_absolute_error 0.045576 mean_absolute_error 0.044121 mean_absolute_error 0.044242 mean_absolute_error 0.044315 mean_absolute_error 0.047879 mean_absolute_error 0.048121 mean_absolute_error 0.042036 mean_absolute_error 0.04383 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.070926 mean_prior_absolute_error 0.071001 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07092 mean_prior_absolute_error 0.071006 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070935 mean_prior_absolute_error 0.070986 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071026 mean_prior_absolute_error 0.070993 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071003 mean_prior_absolute_error 0.071007 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.071047 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.071045 mean_prior_absolute_error 0.070987 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071038 mean_prior_absolute_error 0.071029 mean_prior_absolute_error 0.071009 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071021 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070982 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.07104 mean_prior_absolute_error 0.070995 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.070941 mean_prior_absolute_error 0.070888 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071015 mean_prior_absolute_error 0.071027 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07095 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.070996 mean_prior_absolute_error 0.070967 mean_prior_absolute_error 0.070983 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070938 mean_prior_absolute_error 0.070985 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.070956 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070948 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.070961 mean_prior_absolute_error 0.070957 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070974 mean_prior_absolute_error 0.070947 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.07096 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.070972 mean_prior_absolute_error 0.070984 mean_prior_absolute_error 0.070961 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,1,9,37,4,5,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,11,1,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,37,4,5,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,8,37,3,4,1,3,5,2,2,4,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,3,5,2,2,3,14,10,1,6,1,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,5,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,37,3,5,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,4,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,38,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,1,9,38,3,5,1,3,5,2,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,2,1,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,9,4,1,33,2,2,9,37,3,4,1,3,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,38,3,4,2,2,5,1,2,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1] number_of_instances 165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1] number_of_instances 165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1] number_of_instances 165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] precision 0.39766 [0,0,0.75,0.625,0.2,0,0.72,0.333333,0,0.538462,0.454545,0,0,0,0,0.428571,0.5,0,0,0.2,0.222222,0.333333,0.1,0,0] precision 0.510002 [0,0.5,0.4,0.363636,0.5,0,0.605263,0.285714,0.5,0.166667,0.659091,0,1,0,0,0.666667,1,0,0,0.5,0.833333,0,0.555556,0,0] precision 0.472873 [0,0.333333,0.285714,0.333333,1,0,0.5,0,1,0.75,0.545455,0,0.333333,0,0,0,1,0,0.5,0.571429,0.777778,0.666667,0.2,0,0] precision 0.549248 [0,1,0.5,0.533333,0.2,1,0.606061,1,0,1,0.560976,0.25,0.5,0,0.166667,0.25,0,1,1,0.571429,0.428571,1,0.666667,0,0] precision 0.563934 [1,1,0.5,0.6,0.333333,0,0.615385,0,0,0.8,0.641026,1,0.5,0,0,1,1,0,0.5,0.625,0.3,0,0.428571,0,0.25] precision 0.43015 [0,0,0.5,0.307692,1,0,0.590909,0.333333,0,1,0.441176,0.333333,0.125,0,0,0.333333,0,0.333333,0.5,0.315789,0.363636,0.666667,0.375,0,0] precision 0.499479 [0.5,0,1,0.75,0.25,0,0.685714,0,0.333333,0.875,0.628571,0.166667,0.142857,0,0,0.333333,0,0,0.5,0.25,0.538462,0,0.2,0,0] precision 0.404689 [0.166667,1,0.2,0.428571,0.333333,0,0.518519,0,0,0.75,0.59375,0,0,0,0,0,0,0,0,0.545455,0.263158,0.666667,0.2,0.2,0] precision 0.437809 [0.333333,0,0.2,0.714286,0.5,0,0.586207,0.5,0,0.666667,0.568182,0,0.25,0,0,0.166667,0,0,0.5,0.25,0.428571,0.5,0,0.5,0.5] precision 0.428796 [0,0,0.333333,0.181818,0,0,0.551724,0.4,0,0.6,0.658537,0,0,0,0,0.142857,1,0,0.25,0.375,0.625,0,0.166667,1,0.333333] precision 0.442102 [0.4,0.5,0.5,0,1,0,0.529412,0.25,0.25,0.777778,0.627907,0.25,0.333333,0,0.333333,0,0.5,0,0,0.333333,0.571429,0,0.2,0.333333,0] precision 0.410658 [0,1,0,0.4,1,0,0.636364,0,0,0.538462,0.439024,0,0.166667,0,0,0,1,0,0.25,0.411765,0.285714,0,0.666667,0,0] precision 0.434938 [0.5,0,0.6,1,0.666667,0,0.5,0,0,0.545455,0.454545,0.5,0,0,0.5,0.375,1,0,0,0.3,0.384615,0,0.333333,0,0] precision 0.446739 [0.166667,0,0.5,0.5,0.2,0,0.69697,0.2,1,0.666667,0.551724,0,0.166667,0,0,0.25,1,0,0,0.461538,0.25,0.333333,0.125,0,0] precision 0.462381 [0,0,0.5,0.666667,0.4,0,0.571429,0,0,0.571429,0.613636,0.166667,0.5,0,0,0.25,0,0,0,0.636364,0.375,0,0.428571,0,0] precision 0.446361 [0,0,0.5,0.363636,0,0,0.6,0,0.333333,0.571429,0.55,0,0.75,0,0,1,0,0.25,0.222222,0.333333,0.375,0,0.666667,0,0] precision 0.394538 [0,0.285714,0,0.555556,1,0,0.516129,0.5,1,0.625,0.477273,0,0.2,0,0,0.125,0.333333,0,0.25,0.25,0.5,0,0.125,0.333333,0] precision 0.438739 [0.333333,0,0.272727,0.444444,0.4,0,0.535714,0,0,0.8,0.6,0,0.333333,0,0.2,0.25,0,0.2,0,0.4,0.545455,0,0.5,0,0.5] precision 0.449505 [0.5,0,0,0.571429,1,0.25,0.615385,0.333333,0.5,0.555556,0.525,0,0.333333,0,0,0,0,0,0,0.466667,0.5625,0.333333,0.5,0,0] precision 0.542929 [0,0,0.6,0.375,0.75,0.5,0.782609,0.5,0,0.428571,0.651163,0,1,0,0.333333,0.75,0,0.25,0.2,0.5,0.454545,0.5,0.333333,0,0] precision 0.463031 [1,0,0,0.454545,0.285714,0,0.666667,1,0,0.875,0.477273,0.166667,0.5,0,0.25,0.333333,0.5,0,0.25,0.285714,0.470588,0.5,0.333333,0.333333,0] precision 0.460095 [0,0,0.5,0.166667,0.333333,0,0.636364,0.666667,0,1,0.558824,0.666667,0.666667,0,0.333333,0.125,1,0,0.666667,0.1,0.5,0,0.181818,0.25,0] precision 0.362127 [0,1,1,0.636364,0.4,0,0.454545,0.333333,0.2,0.583333,0.348837,0,0,0,0,0.428571,0,0,0,0.294118,0.222222,1,0.142857,0,1] precision 0.427418 [0.333333,0,0.666667,0.333333,0.666667,0,0.645161,0,0.666667,0.5,0.5,0,0,0,0,0,0,0,0,0.266667,0.555556,0,0.625,0.2,1] precision 0.380803 [0.333333,0,0.4,0.538462,0,1,0.461538,1,0,0.666667,0.428571,0.125,0,0,0,0.142857,0,0,0,0.272727,0.5,1,0.4,0,0] precision 0.419665 [0,0.142857,0,0.444444,0.2,0.166667,0.55814,1,0,0.444444,0.571429,0,0.25,0,0,0.333333,0,0,0.5,0.545455,0.363636,1,0.125,0,0] precision 0.446471 [0,0,0.25,0.375,0.666667,0,0.580645,0.5,0,0.5,0.617647,0.25,1,0,0,0,0,0.666667,0.4,0.461538,0.333333,0,0.4,0,0] precision 0.435044 [0.166667,0,0.75,0.133333,0.333333,0,0.529412,1,0,0.375,0.647059,0,0,0,0.333333,0,0.333333,0,1,0.533333,0.444444,0,0.4,0,0] precision 0.425868 [0.2,0.5,0,0.6,0,0,0.515152,0.2,0,0.466667,0.5,0.25,0,0,0.25,0.25,0.333333,0,0,0.625,0.625,0,0.714286,0,0] precision 0.38458 [0,0,0.166667,0.166667,1,1,0.555556,0,0,0.466667,0.526316,0,0,0.333333,1,0.2,1,0.5,0,0.125,0.625,0,0,0,0] precision 0.406211 [0.333333,0.4,0,0.25,0.6,0,0.6,1,0,0.8,0.514286,0,0,0,0.2,0.2,0,0,0.2,0.333333,0.428571,0,0.3,0,0] precision 0.407469 [0,0,0.8,0.333333,0,0,0.628571,0.5,0,0.714286,0.609756,0,0,0,0,0.25,0,0,0,0.416667,0.230769,1,0,0,0] precision 0.454485 [0,0,1,0.777778,0.5,0.333333,0.6,0,0,0.583333,0.5,0,0.5,1,0,0,0,0.25,0.2,0.4,0.416667,1,0.125,0,0] precision 0.504838 [0,0,0.625,0.777778,0.333333,0,0.742857,0.25,0.5,0.583333,0.577778,0.5,0,0,0,0.5,1,0,0,0.636364,0.222222,0,0.428571,0,0] precision 0.432613 [0.142857,1,0.428571,0.375,0.333333,0.333333,0.459459,1,0,0.555556,0.5,0.25,0.25,0,0.5,0.5,1,0,0.25,0.4,0.428571,1,0.333333,0,0] precision 0.420373 [0.75,0,0.25,0.384615,0.333333,0,0.576923,0,0,0.4,0.475,0,0.666667,0,1,0.4,0.5,1,0,0.333333,0.555556,0,0.222222,0,0] precision 0.486118 [0.25,0,0.428571,0.555556,0.666667,1,0.6,0,0,0.545455,0.542857,0.285714,0.6,0,0.333333,0.666667,0,0,0.166667,0.333333,0.454545,1,0.571429,0,0] precision 0.487752 [0,0.5,0.5,0.375,0.5,0,0.6,0.333333,0,0.545455,0.5625,1,0,0.5,0.25,0.285714,0.5,1,1,0.4,0.625,0,0.25,0,0] precision 0.467457 [0,0.25,0.666667,0.35,0.5,0,0.606061,0.333333,0.25,0.625,0.59375,0,0,0,0,0.4,0.25,0,0,0.545455,0.615385,0,0.363636,0.333333,0] precision 0.497772 [1,1,1,0.272727,0.5,1,0.552632,0.25,0,0.75,0.548387,0,0.333333,0,0,0,0,0.25,1,0.454545,0.615385,0.25,0.285714,0,0] precision 0.509101 [0.5,1,0.5,0.428571,0.666667,0,0.609756,0.333333,0,0.75,0.675676,0,0,0,1,0.333333,0,0.25,0,0.307692,0.454545,0.5,0.75,0,0] precision 0.506407 [1,0,0.5,0.6,0.285714,0,0.628571,1,0,0.444444,0.609756,0.25,0.2,0,0,0.125,0,0,0.25,0.545455,0.666667,0.333333,0.666667,0,0] precision 0.414887 [0,0,0.6,0.714286,0.5,0,0.404762,0,0,0.833333,0.363636,1,1,0,0,0,0,0,0.25,0.384615,0.727273,0,0.375,0,0] precision 0.37936 [0,0.333333,0.5,0.272727,0.5,0,0.585366,0.333333,0.333333,0.75,0.410256,0,0,0,0.5,0.2,0,0,0.333333,0.333333,0.166667,0,0.5,0,0] precision 0.421758 [0.166667,0,0.333333,0.416667,0.333333,0,0.555556,0.25,0,0.666667,0.55814,0,1,0,0.25,0.4,0,0,0,0.2,0.4,0.5,0.454545,0.25,0] precision 0.458622 [0,0.25,0.2,0.4,0.5,0.2,0.657143,0.285714,0,0.545455,0.512821,0,0.333333,0,0,0.166667,1,0,0.5,0.8,0.444444,0.333333,0,0,0] precision 0.512673 [0,1,0.666667,0.833333,0,0,0.583333,1,0,0.8,0.590909,0,0.25,0,1,0,0.5,0.5,0,0.555556,0.266667,0,0.428571,0,1] precision 0.438664 [0,0.25,0.25,0.5,0,0.333333,0.540541,0,0,0.461538,0.560976,0.5,0.5,0,0,0.2,0,0,0.5,0.571429,0.615385,0,0.166667,0.5,0] precision 0.400685 [0,0,0.571429,0.416667,0.1,0,0.541667,0,0,0.416667,0.489796,0.333333,0,0,0,0,0,0,0.5,0.636364,0.363636,0.166667,0.6,0,0] precision 0.473269 [0,0.333333,0.181818,0.25,0.333333,0.333333,0.62963,0.333333,0,0.428571,0.588235,0,0.5,0.5,0,0,1,1,1,0.545455,0.411765,1,0.333333,0,0] precision 0.415026 [1,0,0.666667,0.222222,0.5,0,0.470588,1,0.5,0.555556,0.526316,0,0,0,0,0.5,0,0,1,0.294118,0.538462,0,0,0,1] precision 0.505949 [0,1,0.5,0.625,0.25,0,0.710526,0.25,0,0.7,0.555556,1,1,0,1,0.4,0,0,0,0.384615,0.25,0,0.333333,0,0] precision 0.393526 [0,0.5,0.428571,1,0.333333,1,0.484848,0.5,0,0.333333,0.526316,0,0,0.2,0.25,0.142857,0,0,1,0.111111,0,0.2,0.333333,0,0] precision 0.437441 [0,0.333333,1,0.285714,0.333333,0,0.628571,0,1,0.5,0.545455,0,0.5,0,0,0,0.333333,0,0,0.666667,0.363636,0,0,0,0] precision 0.454106 [0,0,0,0.142857,0.5,0.5,0.59375,0.5,0,1,0.675676,0.333333,0.166667,0,0.25,0.2,0.333333,0,0,0.545455,0.181818,0.5,0.428571,0,0] precision 0.434273 [0.2,0.5,0.166667,0.142857,0.666667,0,0.741935,0.25,0.5,0.555556,0.461538,0,0,0,0,0.333333,0,0,0,0.5,0.666667,1,0,0,0] precision 0.432688 [0.166667,0.4,0,0.538462,0.333333,0,0.645161,0.5,0,0.285714,0.5625,0,0,0,0.285714,0,0,0,0,0.615385,0.7,0,0.25,0,0] precision 0.436088 [0,0,0.111111,0.363636,0.333333,0,0.555556,0.333333,0,0.666667,0.6875,0.25,0.166667,0,0,0.5,0,0,0.25,0.222222,0.4,1,0.4,0,0] precision 0.456888 [0,0.666667,0.166667,0.3,0.125,0,0.592593,0,0,0.666667,0.594595,0,0.25,0,0,0.2,1,0,0.2,0.411765,0.692308,0,1,0,0] precision 0.39486 [0.2,1,0.444444,0.2,0.75,1,0.478261,1,0,0.421053,0.552632,0,0,0,0,0.285714,0,0,0,0.333333,0.333333,0.5,0.142857,0,0.2] precision 0.401341 [0,0,0.3,0.363636,0.166667,0,0.44,0.5,0,0.714286,0.578947,0,0.5,0,0,0,0,0.2,1,0.2,0.625,1,0,0,1] precision 0.445149 [0.25,0,0.5,0.333333,0.2,0,0.53125,0.5,0,0.857143,0.522727,0,1,0,0.666667,0,0,0,1,0.3125,0.25,1,0.5,0,0] precision 0.470368 [0.333333,0,0.571429,1,0,0,0.571429,0.333333,0,0.454545,0.55814,0,0.333333,0,0,0.4,0,0,0.2,0.384615,0.666667,1,0.3,0,0] precision 0.395474 [0,0,0.333333,0.461538,0,0,0.5,0.166667,0.5,0.5,0.583333,0.25,0.5,0.5,0,0.25,0,0,1,0.25,0.2,0,0.25,0,0] precision 0.447234 [0,0,0.5,0.333333,0.222222,0.333333,0.6,1,0,0.75,0.578947,0,0.333333,0,0,0.142857,0.5,0,0,0.333333,0.416667,1,0.5,0,0] precision 0.46498 [0,0.5,0.333333,0.1875,1,0,0.487179,0.25,1,0.666667,0.589744,0,0.5,0,0.5,0.333333,0,0,0.5,0.5,0.7,0,0.285714,0,0] precision 0.464467 [0,0.5,0.5,0.888889,1,0,0.488372,0.5,0,0.75,0.58,0,0,0,0,0.25,0,0,0.333333,0.5,0.363636,0.25,0.333333,0,0] precision 0.463547 [0,0.2,0.5,0.454545,0.25,0.5,0.405405,1,0,0.625,0.666667,0.25,0.5,0,0,0.3,0,0,0.333333,0.416667,0.6,0,0.75,0.25,0] precision 0.469086 [0,0,0.4,0.444444,0.75,0,0.542857,0.333333,0,0.4,0.583333,0,0.333333,0.25,0,0.333333,0.666667,0,0,0.666667,0.714286,0,0.333333,1,0] precision 0.457216 [1,0.25,0.5,0.333333,1,0.5,0.666667,0.5,0.333333,0.461538,0.525,0,0,0,0,0.2,0,0,0,0.666667,0.333333,0,0.2,0.142857,0] precision 0.460165 [0,0.5,0.5,0.333333,0.5,0,0.633333,0.5,0,0.6,0.552632,0.5,0,0,0.333333,0.333333,0,0,0.5,0.545455,0.5,0,0.181818,0,0] precision 0.457965 [0.5,0.333333,0.666667,0.2,0.75,0,0.617647,0.5,0,0.777778,0.545455,0,0,0,0.5,1,1,0,0.333333,0.25,0.375,0,0.25,0,0] precision 0.434878 [0,0,0.333333,0.307692,0.5,0,0.617647,0.666667,0,0.545455,0.545455,0.5,0.666667,0,0,0.5,0,0,0.2,0.2,0.5,0.2,0.428571,0,0] precision 0.511581 [0,0.25,0.333333,0.909091,0.4,0,0.648649,0.5,0,1,0.59375,0.25,0.25,1,0.333333,0,0,0,0.333333,0.5625,0.2,0.5,0.2,0,1] precision 0.479937 [0,0.5,0.375,0.4,0.666667,0,0.757576,0.333333,1,0.636364,0.6,0,0.2,0,0,0.5,0,0,0,0.222222,0.214286,1,0.416667,0,1] precision 0.452649 [0.333333,0,0.333333,0.727273,0.6,0,0.534884,0.666667,0,0.666667,0.512821,0,0,0,1,0.166667,1,0,0.5,0.555556,0.166667,0,0.5,0,0.333333] precision 0.456761 [0,0.333333,0.444444,0.5,0.166667,0,0.69697,0,0,0.555556,0.585366,0,0.25,0,0,0,0,0,1,0.666667,0.181818,0,0.333333,0,0] precision 0.469594 [0.125,0,1,0.333333,0.666667,0,0.607143,0,0,0.625,0.552632,0,0.5,0,0,0.375,0,0,0.333333,0.583333,0.333333,0.333333,0.083333,1,0] precision 0.414481 [0.666667,0,0.375,0.571429,0.25,0,0.583333,0.5,0,0.833333,0.571429,0,0,0,0,0,0,0,0,0.2,0.375,0,0.142857,1,0.333333] precision 0.534776 [0,0.5,0.166667,0.642857,0.8,0,0.595238,0.5,0,0.6,0.766667,0.333333,0.5,0,0,0.333333,0.5,0,0,0.6,0.666667,0,0.333333,0.5,0] precision 0.408195 [0,0.5,0.6,0.6,0.5,0,0.5,0.5,0.25,0.428571,0.514286,0,0.363636,0,0,0.166667,0,0,0,0.333333,0.461538,0,0.5,0,0] precision 0.47228 [0.5,1,0.75,0.333333,0.4,0,0.575758,0,0,0.777778,0.611111,0,0.166667,0,0,0.285714,0,0,0.333333,0.444444,0.571429,0,0.25,0.5,0] precision 0.502964 [1,1,0.333333,0.444444,0.333333,0,0.705882,1,0,0.4,0.522727,0,0.25,0,0.5,0.5,0,0,0.25,0.428571,0.714286,0,0.25,1,0] precision 0.553452 [1,0,0.5,0.7,0.4,0,0.609756,1,0,0.571429,0.689655,0,0.4,0,0.333333,0.166667,1,0,1,0.666667,0.470588,0.333333,0.272727,0,0] precision 0.507046 [0.333333,1,0.666667,0.8,0.25,0,0.630435,0,0.5,0.6,0.515152,0.5,0.4,0.5,0,0.142857,0.5,0,0.333333,0.538462,0.363636,1,0.5,0,0] precision 0.462027 [0,0,0.5,0.75,0.5,0,0.515152,0.333333,0,0.75,0.525,0,0.285714,0,0.333333,0.5,0,0,0,0.857143,0.272727,0,0.25,0,0] precision 0.511077 [0.2,0.5,0.666667,0.625,0.6,0.5,0.636364,1,0,0.538462,0.558824,0.5,0.4,0,1,0,0.333333,0,1,0.461538,0.307692,1,0.375,0,0] precision 0.467088 [0,1,0.5,0.307692,0.222222,0,0.615385,0.5,1,0.5,0.538462,0,0.333333,0,0,0.285714,0,0,0,0.666667,0.5,1,0.25,0,0] precision 0.401701 [0.25,0,0.333333,0.555556,0,0.333333,0.428571,1,0,0.454545,0.577778,0,0,1,0,0.5,0,0,0.5,0.2,0.428571,0,0.666667,0,0.5] precision 0.517292 [0,0.5,0.666667,0.777778,0.75,0,0.594595,0.5,0,0.222222,0.589744,0,0.5,0,0,0.333333,1,0,0,0.6,0.777778,0,0.4,0.5,0] precision 0.32042 [0.25,0.5,0.25,0.181818,0.5,0,0.5,0,0,0.142857,0.466667,0,0,0,0,0.333333,0,0,0.25,0.4,0.125,0,0.333333,0,0] precision 0.380993 [0,0.5,0,0.357143,1,0,0.6,0.5,0,0.833333,0.484848,0,0,0,0,0,0,0.25,0,0.4,0.235294,0,0,0,0] precision 0.464098 [0.125,0,0.25,0.5,0.5,0,0.628571,0,0,0.5,0.513514,0.25,0.5,0,0.666667,0.166667,0,0,0,0.583333,0.8,1,0.125,0,0] precision 0.442757 [0,0.5,0.428571,1,0.25,0,0.588235,1,0.333333,0.5,0.590909,0,0,0,0,0.5,0,0,0,0.461538,0.230769,0.5,0,0,0] precision 0.473014 [0,0.666667,0.8,0.333333,0.4,0,0.689655,0,0.333333,0.666667,0.487805,0.25,0.666667,0,0.4,0.166667,0.25,1,0.5,0.181818,0.285714,0,1,0,0] precision 0.441856 [0,0,0.555556,0.875,0.666667,0.25,0.576923,0.333333,0,0.5,0.475,0,0.333333,0,0,0.428571,0.5,0,0,0.444444,0.416667,0,0.4,0,0] precision 0.408687 [0.5,0,0.6,0.5,1,0,0.533333,0.4,0,0.333333,0.567568,0,0,0,0.166667,0.2,0,0,0.75,0.2,0.25,1,0,0.333333,0] precision 0.368259 [0,0,0.428571,0.416667,0.666667,0.5,0.487179,1,0,0.4,0.545455,0,0,0,0.333333,0.2,0,0,0,0.25,0.222222,0,0.4,0,0] precision 0.489905 [0,0.5,0.5,0.454545,1,0.5,0.617647,1,0,0.727273,0.583333,0,0,0,0,0.1,0,0,0,0.615385,0.555556,0.333333,0.25,0.5,0] precision 0.481159 [0,0,1,0.555556,0.666667,0,0.68,0.666667,0.142857,0.375,0.578947,0.5,0.2,0,0.5,0.166667,0,0,0,0.444444,0.363636,1,0.25,0.166667,0] predictive_accuracy 0.373494 predictive_accuracy 0.542169 predictive_accuracy 0.493976 predictive_accuracy 0.524096 predictive_accuracy 0.542169 predictive_accuracy 0.385542 predictive_accuracy 0.524096 predictive_accuracy 0.373494 predictive_accuracy 0.439759 predictive_accuracy 0.415663 predictive_accuracy 0.46988 predictive_accuracy 0.403614 predictive_accuracy 0.439759 predictive_accuracy 0.439759 predictive_accuracy 0.487952 predictive_accuracy 0.451807 predictive_accuracy 0.39759 predictive_accuracy 0.433735 predictive_accuracy 0.433735 predictive_accuracy 0.512048 predictive_accuracy 0.457831 predictive_accuracy 0.409639 predictive_accuracy 0.355422 predictive_accuracy 0.427711 predictive_accuracy 0.36747 predictive_accuracy 0.409639 predictive_accuracy 0.427711 predictive_accuracy 0.433735 predictive_accuracy 0.445783 predictive_accuracy 0.36747 predictive_accuracy 0.403614 predictive_accuracy 0.427711 predictive_accuracy 0.457831 predictive_accuracy 0.542169 predictive_accuracy 0.427711 predictive_accuracy 0.409639 predictive_accuracy 0.46988 predictive_accuracy 0.493976 predictive_accuracy 0.481928 predictive_accuracy 0.451807 predictive_accuracy 0.512048 predictive_accuracy 0.512048 predictive_accuracy 0.379518 predictive_accuracy 0.403614 predictive_accuracy 0.451807 predictive_accuracy 0.445783 predictive_accuracy 0.463855 predictive_accuracy 0.46988 predictive_accuracy 0.415663 predictive_accuracy 0.445783 predictive_accuracy 0.415663 predictive_accuracy 0.481928 predictive_accuracy 0.36747 predictive_accuracy 0.415663 predictive_accuracy 0.445783 predictive_accuracy 0.409639 predictive_accuracy 0.439759 predictive_accuracy 0.427711 predictive_accuracy 0.439759 predictive_accuracy 0.391566 predictive_accuracy 0.361446 predictive_accuracy 0.433735 predictive_accuracy 0.481928 predictive_accuracy 0.379518 predictive_accuracy 0.439759 predictive_accuracy 0.463855 predictive_accuracy 0.506024 predictive_accuracy 0.463855 predictive_accuracy 0.457831 predictive_accuracy 0.457831 predictive_accuracy 0.466667 predictive_accuracy 0.424242 predictive_accuracy 0.454545 predictive_accuracy 0.50303 predictive_accuracy 0.484848 predictive_accuracy 0.472727 predictive_accuracy 0.454545 predictive_accuracy 0.424242 predictive_accuracy 0.406061 predictive_accuracy 0.545455 predictive_accuracy 0.406061 predictive_accuracy 0.448485 predictive_accuracy 0.49697 predictive_accuracy 0.527273 predictive_accuracy 0.509091 predictive_accuracy 0.454545 predictive_accuracy 0.50303 predictive_accuracy 0.436364 predictive_accuracy 0.430303 predictive_accuracy 0.533333 predictive_accuracy 0.327273 predictive_accuracy 0.369697 predictive_accuracy 0.430303 predictive_accuracy 0.448485 predictive_accuracy 0.448485 predictive_accuracy 0.448485 predictive_accuracy 0.406061 predictive_accuracy 0.4 predictive_accuracy 0.478788 predictive_accuracy 0.454545 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.373494 [0,0,0.6,0.5,0.25,0,0.545455,0.5,0,0.777778,0.405405,0,0,0,0,0.6,0.5,0,0,0.153846,0.363636,1,0.166667,0,0] recall 0.542169 [0,0.5,0.5,0.4,0.25,0,0.69697,1,0.5,0.111111,0.763158,0,0.4,0,0,0.4,1,0,0,0.461538,0.909091,0,0.833333,0,0] recall 0.493976 [0,0.5,0.5,0.3,0.5,0,0.575758,0,0.5,1,0.648649,0,0.25,0,0,0,0.5,0,0.333333,0.571429,0.636364,1,0.166667,0,0] recall 0.524096 [0,0.5,0.4,0.8,0.25,0.5,0.606061,0.5,0,0.75,0.621622,0.333333,0.5,0,0.333333,0.2,0,0.5,1,0.285714,0.6,0.5,0.666667,0,0] recall 0.542169 [0.666667,0.5,0.4,0.6,0.333333,0,0.727273,0,0,0.888889,0.657895,0.333333,0.4,0,0,0.2,1,0,0.333333,0.384615,0.545455,0,0.5,0,1] recall 0.385542 [0,0,0.6,0.4,0.5,0,0.393939,0.5,0,0.625,0.405405,0.333333,0.25,0,0,0.2,0,0.5,0.666667,0.428571,0.363636,1,0.5,0,0] recall 0.524096 [1,0,1,0.9,0.25,0,0.727273,0,0.5,0.875,0.594595,0.333333,0.25,0,0,0.2,0,0,0.5,0.214286,0.636364,0,0.166667,0,0] recall 0.373494 [0.333333,0.5,0.25,0.3,0.666667,0,0.424242,0,0,0.75,0.5,0,0,0,0,0,0,0,0,0.461538,0.454545,1,0.166667,0.5,0] recall 0.439759 [0.333333,0,0.25,0.5,1,0,0.515152,0.5,0,0.666667,0.657895,0,0.5,0,0,0.2,0,0,0.75,0.153846,0.272727,0.5,0,0.5,1] recall 0.415663 [0,0,0.4,0.2,0,0,0.484848,1,0,0.333333,0.72973,0,0,0,0,0.2,0.5,0,0.333333,0.428571,0.454545,0,0.166667,0.5,1] recall 0.46988 [0.666667,0.5,0.6,0,0.25,0,0.545455,0.5,1,0.777778,0.72973,0.333333,0.25,0,0.5,0,0.5,0,0,0.230769,0.727273,0,0.166667,0.5,0] recall 0.403614 [0,0.5,0,0.2,0.25,0,0.636364,0,0,0.777778,0.486486,0,0.2,0,0,0,0.5,0,0.666667,0.538462,0.181818,0,0.666667,0,0] recall 0.439759 [0.333333,0,0.6,1,0.5,0,0.515152,0,0,0.666667,0.405405,0.333333,0,0,1,0.6,0.5,0,0,0.428571,0.454545,0,0.166667,0,0] recall 0.439759 [0.333333,0,0.8,0.6,0.25,0,0.69697,0.5,1,0.444444,0.432432,0,0.25,0,0,0.2,1,0,0,0.428571,0.363636,0.5,0.166667,0,0] recall 0.487952 [0,0,0.6,0.6,0.5,0,0.606061,0,0,0.5,0.72973,0.333333,0.2,0,0,0.2,0,0,0,0.5,0.545455,0,0.5,0,0] recall 0.451807 [0,0,0.4,0.4,0,0,0.636364,0,1,0.444444,0.594595,0,0.6,0,0,0.2,0,0.5,0.666667,0.428571,0.6,0,0.333333,0,0] recall 0.39759 [0,1,0,0.5,0.75,0,0.484848,1,0.5,0.625,0.567568,0,0.25,0,0,0.2,1,0,0.333333,0.153846,0.272727,0,0.166667,0.5,0] recall 0.433735 [0.333333,0,0.75,0.4,0.5,0,0.454545,0,0,0.5,0.648649,0,0.2,0,0.333333,0.4,0,1,0,0.307692,0.545455,0,0.5,0,1] recall 0.433735 [0.25,0,0,0.4,0.333333,1,0.484848,0.5,0.5,0.555556,0.567568,0,0.25,0,0,0,0,0,0,0.538462,0.818182,0.5,0.5,0,0] recall 0.512048 [0,0,0.6,0.3,0.75,0.5,0.545455,0.5,0,0.666667,0.756757,0,0.25,0,0.666667,0.6,0,1,0.333333,0.428571,0.454545,1,0.166667,0,0] recall 0.457831 [0.333333,0,0,0.5,0.5,0,0.545455,0.5,0,0.777778,0.567568,0.333333,0.25,0,0.5,0.2,0.5,0,0.333333,0.307692,0.727273,0.5,0.166667,1,0] recall 0.409639 [0,0,0.2,0.2,0.25,0,0.636364,1,0,0.555556,0.513514,0.666667,0.5,0,1,0.2,0.5,0,0.5,0.071429,0.272727,0,0.333333,1,0] recall 0.355422 [0,0.5,0.4,0.777778,0.5,0,0.30303,0.5,0.5,0.777778,0.405405,0,0,0,0,0.6,0,0,0,0.357143,0.181818,1,0.166667,0,1] recall 0.427711 [0.333333,0,0.8,0.3,1,0,0.606061,0,1,0.444444,0.459459,0,0,0,0,0,0,0,0,0.285714,0.454545,0,0.833333,0.5,1] recall 0.36747 [0.333333,0,0.5,0.7,0,0.5,0.363636,0.5,0,0.75,0.567568,0.333333,0,0,0,0.2,0,0,0,0.214286,0.181818,0.5,0.333333,0,0] recall 0.409639 [0,0.5,0,0.4,0.333333,0.5,0.727273,0.5,0,0.444444,0.432432,0,0.2,0,0,0.4,0,0,0.333333,0.428571,0.4,0.5,0.166667,0,0] recall 0.427711 [0,0,0.2,0.6,0.666667,0,0.545455,0.5,0,0.444444,0.567568,0.25,0.5,0,0,0,0,1,0.666667,0.461538,0.272727,0,0.333333,0,0] recall 0.433735 [0.333333,0,0.6,0.2,0.25,0,0.545455,0.5,0,0.375,0.594595,0,0,0,0.333333,0,0.5,0,0.333333,0.615385,0.727273,0,0.333333,0,0] recall 0.445783 [0.333333,0.5,0,0.6,0,0,0.515152,0.5,0,0.777778,0.594595,0.25,0,0,0.5,0.2,1,0,0,0.357143,0.454545,0,0.833333,0,0] recall 0.36747 [0,0,0.2,0.3,1,0.5,0.454545,0,0,0.777778,0.540541,0,0,1,0.333333,0.2,1,0.5,0,0.071429,0.5,0,0,0,0] recall 0.403614 [0.333333,1,0,0.222222,0.75,0,0.454545,0.5,0,0.888889,0.486486,0,0,0,0.333333,0.2,0,0,0.333333,0.571429,0.3,0,0.5,0,0] recall 0.427711 [0,0,0.8,0.444444,0,0,0.666667,0.5,0,0.625,0.675676,0,0,0,0,0.2,0,0,0,0.357143,0.272727,1,0,0,0] recall 0.457831 [0,0,0.4,0.7,0.25,0.5,0.636364,0,0,0.875,0.594595,0,0.25,0.5,0,0,0,0.5,0.333333,0.285714,0.454545,1,0.166667,0,0] recall 0.542169 [0,0,1,0.7,0.25,0,0.787879,0.5,0.5,0.777778,0.702703,0.333333,0,0,0,0.4,1,0,0,0.5,0.181818,0,0.5,0,0] recall 0.427711 [0.333333,1,0.75,0.3,0.25,0.5,0.515152,1,0,0.625,0.459459,0.333333,0.25,0,0.666667,0.6,1,0,0.333333,0.285714,0.272727,0.5,0.333333,0,0] recall 0.409639 [1,0,0.4,0.5,0.333333,0,0.454545,0,0,0.444444,0.513514,0,0.5,0,0.5,0.4,0.5,0.5,0,0.357143,0.5,0,0.333333,0,0] recall 0.46988 [0.333333,0,0.6,0.5,0.666667,0.5,0.545455,0,0,0.666667,0.513514,0.666667,0.6,0,0.333333,0.4,0,0,0.333333,0.307692,0.454545,0.5,0.666667,0,0] recall 0.493976 [0,0.5,0.2,0.3,0.25,0,0.727273,0.5,0,0.666667,0.72973,0.333333,0,0.5,0.333333,0.4,0.5,0.5,0.333333,0.285714,0.5,0,0.166667,0,0] recall 0.481928 [0,0.5,0.4,0.7,0.5,0,0.606061,0.5,0.5,0.555556,0.513514,0,0,0,0,0.4,1,0,0,0.428571,0.727273,0,0.666667,0.5,0] recall 0.451807 [0.333333,0.5,0.4,0.333333,1,0.5,0.636364,0.5,0,0.666667,0.459459,0,0.2,0,0,0,0,0.5,0.25,0.357143,0.8,0.5,0.333333,0,0] recall 0.512048 [0.333333,0.5,0.25,0.6,0.5,0,0.757576,0.5,0,0.666667,0.675676,0,0,0,0.333333,0.4,0,0.5,0,0.285714,0.5,0.5,0.5,0,0] recall 0.512048 [0.333333,0,0.6,0.3,0.5,0,0.666667,1,0,0.5,0.675676,0.333333,0.25,0,0,0.2,0,0,0.333333,0.428571,0.727273,0.5,0.666667,0,0] recall 0.379518 [0,0,0.6,0.5,0.5,0,0.515152,0,0,0.625,0.324324,0.333333,0.25,0,0,0,0,0,0.25,0.384615,0.727273,0,0.5,0,0] recall 0.403614 [0,0.5,0.4,0.3,0.666667,0,0.727273,0.5,0.5,0.666667,0.432432,0,0,0,0.333333,0.2,0,0,0.333333,0.285714,0.181818,0,0.333333,0,0] recall 0.451807 [0.333333,0,0.4,0.555556,0.5,0,0.606061,0.5,0,0.666667,0.648649,0,0.25,0,0.333333,0.4,0,0,0,0.071429,0.2,1,0.833333,0.5,0] recall 0.445783 [0,0.5,0.2,0.444444,0.333333,0.5,0.69697,1,0,0.666667,0.526316,0,0.25,0,0,0.2,0.5,0,0.5,0.285714,0.4,1,0,0,0] recall 0.463855 [0,0.5,0.4,0.5,0,0,0.636364,0.5,0,0.444444,0.684211,0,0.2,0,0.333333,0,0.5,0.5,0,0.357143,0.363636,0,0.5,0,1] recall 0.46988 [0,0.5,0.2,0.3,0,0.5,0.606061,0,0,0.666667,0.621622,0.333333,0.5,0,0,0.2,0,0,0.25,0.571429,0.8,0,0.166667,0.5,0] recall 0.415663 [0,0,0.8,0.5,0.25,0,0.393939,0,0,0.555556,0.648649,0.333333,0,0,0,0,0,0,0.333333,0.5,0.363636,0.5,0.5,0,0] recall 0.445783 [0,0.5,0.4,0.3,0.666667,1,0.515152,0.5,0,0.333333,0.540541,0,0.5,0.5,0,0,1,0.5,0.5,0.428571,0.7,1,0.166667,0,0] recall 0.415663 [0.666667,0,0.5,0.2,0.5,0,0.484848,1,0.5,0.555556,0.540541,0,0,0,0,0.6,0,0,0.333333,0.357143,0.7,0,0,0,1] recall 0.481928 [0,0.5,0.4,0.5,0.5,0,0.818182,0.5,0,0.875,0.540541,0.333333,0.25,0,0.333333,0.4,0,0,0,0.357143,0.272727,0,0.333333,0,0] recall 0.36747 [0,0.5,0.6,0.7,0.25,0.5,0.484848,0.5,0,0.375,0.540541,0,0,0.5,0.333333,0.2,0,0,0.5,0.076923,0,0.5,0.166667,0,0] recall 0.415663 [0,0.5,0.4,0.4,0.666667,0,0.666667,0,0.5,0.444444,0.486486,0,0.5,0,0,0,1,0,0,0.571429,0.363636,0,0,0,0] recall 0.445783 [0,0,0,0.2,0.5,0.5,0.575758,1,0,0.666667,0.675676,0.333333,0.25,0,0.5,0.2,0.5,0,0,0.428571,0.2,1,0.5,0,0] recall 0.409639 [0.333333,0.5,0.4,0.1,0.5,0,0.69697,0.5,0.5,0.555556,0.486486,0,0,0,0,0.2,0,0,0,0.384615,0.545455,0.5,0,0,0] recall 0.439759 [0.333333,1,0,0.777778,0.25,0,0.606061,1,0,0.222222,0.486486,0,0,0,0.666667,0,0,0,0,0.571429,0.636364,0,0.5,0,0] recall 0.427711 [0,0,0.2,0.4,0.25,0,0.606061,0.5,0,0.666667,0.594595,0.333333,0.25,0,0,0.4,0,0,0.25,0.285714,0.4,0.5,0.333333,0,0] recall 0.439759 [0,1,0.4,0.3,0.25,0,0.484848,0,0,0.5,0.594595,0,0.25,0,0,0.2,1,0,0.333333,0.5,0.9,0,0.333333,0,0] recall 0.391566 [0.333333,0.5,0.8,0.1,0.75,1,0.333333,0.5,0,0.888889,0.552632,0,0,0,0,0.4,0,0,0,0.307692,0.3,0.5,0.166667,0,1] recall 0.361446 [0,0,0.6,0.4,0.25,0,0.333333,0.5,0,0.555556,0.594595,0,0.5,0,0,0,0,0.5,0.333333,0.142857,0.5,0.5,0,0,1] recall 0.433735 [0.25,0,0.4,0.4,0.333333,0,0.515152,0.5,0,0.666667,0.621622,0,0.25,0,0.666667,0,0,0,0.333333,0.357143,0.4,0.5,0.5,0,0] recall 0.481928 [0.333333,0,0.8,0.8,0,0,0.606061,0.5,0,0.555556,0.631579,0,0.25,0,0,0.4,0,0,0.333333,0.384615,0.4,0.5,0.5,0,0] recall 0.379518 [0,0,0.2,0.6,0,0,0.424242,0.5,0.5,0.555556,0.567568,0.25,0.5,0.5,0,0.4,0,0,0.333333,0.285714,0.090909,0,0.333333,0,0] recall 0.439759 [0,0,0.4,0.1,0.5,0.5,0.636364,0.5,0,0.666667,0.594595,0,0.25,0,0,0.2,0.5,0,0,0.428571,0.5,0.5,0.333333,0,0] recall 0.463855 [0,0.5,0.25,0.3,0.5,0,0.575758,0.5,0.5,0.666667,0.621622,0,0.25,0,0.333333,0.2,0,0,0.333333,0.538462,0.636364,0,0.333333,0,0] recall 0.506024 [0,0.5,0.6,0.8,0.5,0,0.636364,0.5,0,0.666667,0.783784,0,0,0,0,0.2,0,0,0.333333,0.357143,0.4,0.5,0.166667,0,0] recall 0.463855 [0,0.5,0.6,0.5,0.25,1,0.454545,0.5,0,0.555556,0.648649,0.25,0.25,0,0,0.6,0,0,0.333333,0.357143,0.6,0,0.5,0.5,0] recall 0.457831 [0,0,0.4,0.4,0.75,0,0.575758,0.5,0,0.5,0.567568,0,0.25,1,0,0.4,1,0,0,0.571429,0.5,0,0.333333,0.5,0] recall 0.457831 [0.333333,0.5,0.5,0.4,0.75,0.5,0.727273,0.5,0.5,0.666667,0.567568,0,0,0,0,0.2,0,0,0,0.307692,0.272727,0,0.333333,0.5,0] recall 0.466667 [0,0.5,0.6,0.3,0.666667,0,0.575758,1,0,0.75,0.552632,0.333333,0,0,0.666667,0.6,0,0,0.666667,0.428571,0.363636,0,0.333333,0,0] recall 0.424242 [0.333333,0.5,0.4,0.2,1,0,0.636364,0.5,0,0.777778,0.486486,0,0,0,0.333333,0.2,1,0,0.333333,0.285714,0.3,0,0.5,0,0] recall 0.454545 [0,0,0.4,0.4,0.333333,0,0.636364,1,0,0.666667,0.648649,0.333333,0.4,0,0,0.2,0,0,0.333333,0.142857,0.4,0.5,0.5,0,0] recall 0.50303 [0,0.5,0.2,1,0.5,0,0.727273,1,0,0.555556,0.513514,0.333333,0.2,0.5,0.5,0,0,0,0.333333,0.692308,0.2,0.5,0.166667,0,1] recall 0.484848 [0,0.5,0.6,0.4,0.5,0,0.757576,0.5,1,0.777778,0.567568,0,0.25,0,0,0.2,0,0,0,0.142857,0.3,0.5,0.833333,0,1] recall 0.472727 [0.333333,0,0.5,0.8,0.75,0,0.69697,1,0,0.444444,0.540541,0,0,0,0.333333,0.2,1,0,0.333333,0.384615,0.181818,0,0.5,0,1] recall 0.454545 [0,0.5,0.8,0.3,0.25,0,0.69697,0,0,0.555556,0.648649,0,0.25,0,0,0,0,0,0.666667,0.571429,0.2,0,0.166667,0,0] recall 0.424242 [0.25,0,0.2,0.2,1,0,0.515152,0,0,0.555556,0.567568,0,0.25,0,0,0.6,0,0,0.333333,0.5,0.363636,0.5,0.166667,0.5,0] recall 0.406061 [0.666667,0,0.6,0.8,0.5,0,0.636364,0.5,0,0.625,0.432432,0,0,0,0,0,0,0,0,0.142857,0.3,0,0.333333,0.5,1] recall 0.545455 [0,0.5,0.25,0.9,1,0,0.757576,0.5,0,0.75,0.621622,0.25,0.25,0,0,0.6,1,0,0,0.230769,0.727273,0,0.333333,1,0] recall 0.406061 [0,0.5,0.6,0.6,0.333333,0,0.424242,0.5,0.5,0.75,0.486486,0,0.8,0,0,0.2,0,0,0,0.285714,0.545455,0,0.166667,0,0] recall 0.448485 [0.666667,0.5,0.6,0.4,0.666667,0,0.575758,0,0,0.777778,0.594595,0,0.25,0,0,0.4,0,0,0.333333,0.285714,0.4,0,0.166667,0.5,0] recall 0.49697 [0.333333,0.5,0.2,0.4,0.666667,0,0.727273,0.5,0,0.666667,0.621622,0,0.2,0,0.333333,0.4,0,0,0.666667,0.428571,0.5,0,0.166667,0.5,0] recall 0.527273 [0.333333,0,0.5,0.7,0.5,0,0.757576,1,0,0.5,0.540541,0,0.4,0,0.333333,0.2,0.5,0,0.25,0.461538,0.8,0.5,0.5,0,0] recall 0.509091 [0.333333,0.5,0.4,0.4,0.333333,0,0.878788,0,0.5,0.666667,0.459459,0.25,0.5,1,0,0.2,1,0,0.333333,0.538462,0.363636,0.5,0.5,0,0] recall 0.454545 [0,0,0.6,0.9,0.25,0,0.515152,0.5,0,0.75,0.567568,0,0.5,0,0.666667,0.6,0,0,0,0.428571,0.272727,0,0.166667,0,0] recall 0.50303 [0.666667,0.5,0.4,0.5,0.75,0.5,0.636364,0.5,0,0.777778,0.513514,0.333333,0.5,0,0.5,0,1,0,0.666667,0.428571,0.4,1,0.5,0,0] recall 0.436364 [0,0.5,0.4,0.8,0.666667,0,0.484848,0.5,0.5,0.444444,0.567568,0,0.25,0,0,0.4,0,0,0,0.428571,0.272727,1,0.333333,0,0] recall 0.430303 [0.666667,0,0.4,0.555556,0,0.5,0.454545,1,0,0.555556,0.702703,0,0,1,0,0.4,0,0,0.666667,0.142857,0.3,0,0.333333,0,1] recall 0.533333 [0,1,0.8,0.7,0.75,0,0.666667,1,0,0.25,0.621622,0,0.25,0,0,0.2,1,0,0,0.642857,0.636364,0,0.333333,0.5,0] recall 0.327273 [0.333333,0.5,0.6,0.2,0.666667,0,0.363636,0,0,0.25,0.567568,0,0,0,0,0.2,0,0,0.25,0.428571,0.090909,0,0.166667,0,0] recall 0.369697 [0,0.5,0,0.5,0.75,0,0.636364,0.5,0,0.555556,0.432432,0,0,0,0,0,0,0.5,0,0.307692,0.4,0,0,0,0] recall 0.430303 [0.25,0,0.5,0.4,0.25,0,0.666667,0,0,0.333333,0.513514,0.333333,0.5,0,1,0.2,0,0,0,0.5,0.4,0.5,0.166667,0,0] recall 0.448485 [0,0.5,0.75,0.444444,0.5,0,0.606061,0.5,0.5,0.5,0.684211,0,0,0,0,0.4,0,0,0,0.461538,0.3,0.5,0,0,0] recall 0.448485 [0,1,0.8,0.2,0.666667,0,0.606061,0,0.5,0.666667,0.540541,0.333333,0.5,0,0.666667,0.2,1,0.5,0.666667,0.153846,0.363636,0,0.166667,0,0] recall 0.448485 [0,0,1,0.7,0.5,1,0.454545,0.5,0,0.75,0.513514,0,0.25,0,0,0.6,1,0,0,0.285714,0.454545,0,0.666667,0,0] recall 0.406061 [0.666667,0,0.75,0.5,0.25,0,0.484848,1,0,0.625,0.567568,0,0,0,0.333333,0.2,0,0,0.75,0.142857,0.3,0.5,0,0.5,0] recall 0.4 [0,0,0.6,0.555556,0.666667,0.5,0.575758,0.5,0,0.444444,0.648649,0,0,0,0.5,0.2,0,0,0,0.071429,0.181818,0,0.333333,0,0] recall 0.478788 [0,0.5,0.5,0.5,0.25,0.5,0.636364,0.5,0,0.888889,0.567568,0,0,0,0,0.2,0,0,0,0.615385,0.454545,0.5,0.333333,0.5,0] recall 0.454545 [0,0,0.6,0.5,0.5,0,0.515152,1,0.5,0.375,0.594595,0.333333,0.25,0,0.333333,0.2,0,0,0,0.571429,0.363636,1,0.333333,0.5,0] relative_absolute_error 0.705693 relative_absolute_error 0.516401 relative_absolute_error 0.574683 relative_absolute_error 0.535965 relative_absolute_error 0.519847 relative_absolute_error 0.69399 relative_absolute_error 0.536125 relative_absolute_error 0.706426 relative_absolute_error 0.633534 relative_absolute_error 0.65514 relative_absolute_error 0.597084 relative_absolute_error 0.670384 relative_absolute_error 0.63132 relative_absolute_error 0.631361 relative_absolute_error 0.576932 relative_absolute_error 0.617619 relative_absolute_error 0.680097 relative_absolute_error 0.637627 relative_absolute_error 0.637833 relative_absolute_error 0.553287 relative_absolute_error 0.608958 relative_absolute_error 0.663603 relative_absolute_error 0.726155 relative_absolute_error 0.651727 relative_absolute_error 0.712531 relative_absolute_error 0.66508 relative_absolute_error 0.644611 relative_absolute_error 0.639339 relative_absolute_error 0.624587 relative_absolute_error 0.714282 relative_absolute_error 0.671625 relative_absolute_error 0.645926 relative_absolute_error 0.612511 relative_absolute_error 0.517648 relative_absolute_error 0.644671 relative_absolute_error 0.665015 relative_absolute_error 0.59714 relative_absolute_error 0.568679 relative_absolute_error 0.590678 relative_absolute_error 0.617377 relative_absolute_error 0.549624 relative_absolute_error 0.551097 relative_absolute_error 0.698744 relative_absolute_error 0.672029 relative_absolute_error 0.618732 relative_absolute_error 0.626684 relative_absolute_error 0.605063 relative_absolute_error 0.597236 relative_absolute_error 0.658498 relative_absolute_error 0.628377 relative_absolute_error 0.659889 relative_absolute_error 0.587068 relative_absolute_error 0.714011 relative_absolute_error 0.663557 relative_absolute_error 0.62434 relative_absolute_error 0.664946 relative_absolute_error 0.632839 relative_absolute_error 0.646443 relative_absolute_error 0.630946 relative_absolute_error 0.68604 relative_absolute_error 0.719357 relative_absolute_error 0.636209 relative_absolute_error 0.58416 relative_absolute_error 0.699196 relative_absolute_error 0.631099 relative_absolute_error 0.605529 relative_absolute_error 0.558145 relative_absolute_error 0.606738 relative_absolute_error 0.610593 relative_absolute_error 0.610617 relative_absolute_error 0.607293 relative_absolute_error 0.649004 relative_absolute_error 0.618332 relative_absolute_error 0.56 relative_absolute_error 0.580719 relative_absolute_error 0.60108 relative_absolute_error 0.614871 relative_absolute_error 0.651013 relative_absolute_error 0.673925 relative_absolute_error 0.512166 relative_absolute_error 0.669665 relative_absolute_error 0.621678 relative_absolute_error 0.567089 relative_absolute_error 0.532505 relative_absolute_error 0.55333 relative_absolute_error 0.621809 relative_absolute_error 0.560216 relative_absolute_error 0.636919 relative_absolute_error 0.645434 relative_absolute_error 0.527822 relative_absolute_error 0.760172 relative_absolute_error 0.710203 relative_absolute_error 0.642152 relative_absolute_error 0.621892 relative_absolute_error 0.62335 relative_absolute_error 0.624509 relative_absolute_error 0.674442 relative_absolute_error 0.678033 relative_absolute_error 0.592198 relative_absolute_error 0.617671 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188112 root_mean_prior_squared_error 0.188311 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188094 root_mean_prior_squared_error 0.188322 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188135 root_mean_prior_squared_error 0.188271 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188375 root_mean_prior_squared_error 0.188288 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188315 root_mean_prior_squared_error 0.188327 root_mean_prior_squared_error 0.18841 root_mean_prior_squared_error 0.188431 root_mean_prior_squared_error 0.18837 root_mean_prior_squared_error 0.188277 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188278 root_mean_prior_squared_error 0.188341 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188372 root_mean_prior_squared_error 0.188426 root_mean_prior_squared_error 0.188272 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188384 root_mean_prior_squared_error 0.188332 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188358 root_mean_prior_squared_error 0.188364 root_mean_prior_squared_error 0.188351 root_mean_prior_squared_error 0.18826 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188295 root_mean_prior_squared_error 0.188401 root_mean_prior_squared_error 0.188151 root_mean_prior_squared_error 0.188009 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.188282 root_mean_prior_squared_error 0.188357 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188378 root_mean_prior_squared_error 0.188342 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188175 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188349 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.188356 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188296 root_mean_prior_squared_error 0.188221 root_mean_prior_squared_error 0.188263 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188143 root_mean_prior_squared_error 0.188267 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188359 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188191 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188168 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188202 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188237 root_mean_prior_squared_error 0.188166 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188201 root_mean_prior_squared_error 0.188281 root_mean_prior_squared_error 0.188232 root_mean_prior_squared_error 0.188264 root_mean_prior_squared_error 0.188202 root_mean_squared_error 0.223876 root_mean_squared_error 0.191381 root_mean_squared_error 0.201467 root_mean_squared_error 0.195121 root_mean_squared_error 0.191695 root_mean_squared_error 0.221781 root_mean_squared_error 0.195121 root_mean_squared_error 0.223876 root_mean_squared_error 0.211777 root_mean_squared_error 0.215373 root_mean_squared_error 0.205936 root_mean_squared_error 0.218031 root_mean_squared_error 0.211706 root_mean_squared_error 0.211706 root_mean_squared_error 0.202395 root_mean_squared_error 0.209417 root_mean_squared_error 0.219597 root_mean_squared_error 0.212841 root_mean_squared_error 0.212841 root_mean_squared_error 0.197728 root_mean_squared_error 0.207103 root_mean_squared_error 0.216559 root_mean_squared_error 0.227082 root_mean_squared_error 0.214345 root_mean_squared_error 0.22495 root_mean_squared_error 0.217322 root_mean_squared_error 0.21397 root_mean_squared_error 0.212912 root_mean_squared_error 0.210564 root_mean_squared_error 0.225017 root_mean_squared_error 0.218428 root_mean_squared_error 0.214015 root_mean_squared_error 0.208335 root_mean_squared_error 0.191459 root_mean_squared_error 0.21397 root_mean_squared_error 0.217322 root_mean_squared_error 0.205374 root_mean_squared_error 0.20077 root_mean_squared_error 0.204173 root_mean_squared_error 0.209417 root_mean_squared_error 0.197576 root_mean_squared_error 0.197624 root_mean_squared_error 0.222797 root_mean_squared_error 0.218428 root_mean_squared_error 0.209463 root_mean_squared_error 0.210636 root_mean_squared_error 0.207103 root_mean_squared_error 0.205936 root_mean_squared_error 0.216211 root_mean_squared_error 0.210702 root_mean_squared_error 0.21628 root_mean_squared_error 0.203878 root_mean_squared_error 0.224816 root_mean_squared_error 0.216001 root_mean_squared_error 0.210564 root_mean_squared_error 0.217322 root_mean_squared_error 0.211777 root_mean_squared_error 0.21404 root_mean_squared_error 0.211706 root_mean_squared_error 0.220623 root_mean_squared_error 0.226018 root_mean_squared_error 0.211848 root_mean_squared_error 0.20299 root_mean_squared_error 0.222797 root_mean_squared_error 0.211706 root_mean_squared_error 0.207175 root_mean_squared_error 0.198867 root_mean_squared_error 0.207196 root_mean_squared_error 0.208263 root_mean_squared_error 0.208263 root_mean_squared_error 0.206926 root_mean_squared_error 0.214617 root_mean_squared_error 0.209183 root_mean_squared_error 0.199393 root_mean_squared_error 0.203008 root_mean_squared_error 0.205971 root_mean_squared_error 0.208893 root_mean_squared_error 0.214688 root_mean_squared_error 0.218227 root_mean_squared_error 0.190056 root_mean_squared_error 0.21798 root_mean_squared_error 0.21005 root_mean_squared_error 0.200605 root_mean_squared_error 0.194469 root_mean_squared_error 0.198173 root_mean_squared_error 0.209328 root_mean_squared_error 0.199393 root_mean_squared_error 0.212392 root_mean_squared_error 0.213627 root_mean_squared_error 0.193297 root_mean_squared_error 0.231791 root_mean_squared_error 0.224553 root_mean_squared_error 0.213201 root_mean_squared_error 0.21005 root_mean_squared_error 0.210123 root_mean_squared_error 0.209958 root_mean_squared_error 0.218188 root_mean_squared_error 0.219158 root_mean_squared_error 0.204542 root_mean_squared_error 0.208986 root_relative_squared_error 1.188501 root_relative_squared_error 1.017376 root_relative_squared_error 1.069867 root_relative_squared_error 1.035674 root_relative_squared_error 1.019143 root_relative_squared_error 1.177669 root_relative_squared_error 1.035983 root_relative_squared_error 1.189737 root_relative_squared_error 1.125665 root_relative_squared_error 1.143952 root_relative_squared_error 1.093187 root_relative_squared_error 1.157427 root_relative_squared_error 1.124369 root_relative_squared_error 1.124441 root_relative_squared_error 1.074769 root_relative_squared_error 1.111988 root_relative_squared_error 1.165527 root_relative_squared_error 1.129544 root_relative_squared_error 1.129909 root_relative_squared_error 1.050197 root_relative_squared_error 1.099381 root_relative_squared_error 1.150207 root_relative_squared_error 1.205697 root_relative_squared_error 1.13846 root_relative_squared_error 1.194288 root_relative_squared_error 1.153881 root_relative_squared_error 1.135889 root_relative_squared_error 1.129947 root_relative_squared_error 1.118407 root_relative_squared_error 1.194735 root_relative_squared_error 1.159336 root_relative_squared_error 1.136055 root_relative_squared_error 1.106214 root_relative_squared_error 1.016905 root_relative_squared_error 1.135995 root_relative_squared_error 1.153769 root_relative_squared_error 1.090303 root_relative_squared_error 1.065934 root_relative_squared_error 1.084527 root_relative_squared_error 1.111553 root_relative_squared_error 1.048875 root_relative_squared_error 1.049354 root_relative_squared_error 1.182497 root_relative_squared_error 1.160034 root_relative_squared_error 1.111793 root_relative_squared_error 1.119502 root_relative_squared_error 1.101558 root_relative_squared_error 1.093465 root_relative_squared_error 1.148336 root_relative_squared_error 1.11863 root_relative_squared_error 1.148172 root_relative_squared_error 1.08256 root_relative_squared_error 1.193216 root_relative_squared_error 1.14717 root_relative_squared_error 1.117964 root_relative_squared_error 1.153648 root_relative_squared_error 1.124428 root_relative_squared_error 1.136502 root_relative_squared_error 1.123701 root_relative_squared_error 1.172437 root_relative_squared_error 1.20003 root_relative_squared_error 1.124765 root_relative_squared_error 1.078741 root_relative_squared_error 1.183261 root_relative_squared_error 1.123973 root_relative_squared_error 1.0997 root_relative_squared_error 1.055804 root_relative_squared_error 1.100155 root_relative_squared_error 1.105428 root_relative_squared_error 1.105473 root_relative_squared_error 1.101112 root_relative_squared_error 1.140182 root_relative_squared_error 1.111439 root_relative_squared_error 1.058935 root_relative_squared_error 1.078561 root_relative_squared_error 1.094063 root_relative_squared_error 1.109817 root_relative_squared_error 1.141086 root_relative_squared_error 1.159136 root_relative_squared_error 1.009289 root_relative_squared_error 1.158332 root_relative_squared_error 1.11592 root_relative_squared_error 1.065862 root_relative_squared_error 1.03244 root_relative_squared_error 1.052762 root_relative_squared_error 1.112317 root_relative_squared_error 1.059344 root_relative_squared_error 1.128735 root_relative_squared_error 1.134647 root_relative_squared_error 1.027068 root_relative_squared_error 1.231672 root_relative_squared_error 1.192489 root_relative_squared_error 1.132619 root_relative_squared_error 1.116306 root_relative_squared_error 1.11624 root_relative_squared_error 1.115606 root_relative_squared_error 1.158841 root_relative_squared_error 1.164296 root_relative_squared_error 1.086467 root_relative_squared_error 1.110432 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 400 usercpu_time_millis 380 usercpu_time_millis 400 usercpu_time_millis 410 usercpu_time_millis 380 usercpu_time_millis 410 usercpu_time_millis 430 usercpu_time_millis 400 usercpu_time_millis 350 usercpu_time_millis 380 usercpu_time_millis 420 usercpu_time_millis 390 usercpu_time_millis 410 usercpu_time_millis 400 usercpu_time_millis 400 usercpu_time_millis 420 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 380 usercpu_time_millis 410 usercpu_time_millis 400 usercpu_time_millis 380 usercpu_time_millis 410 usercpu_time_millis 430 usercpu_time_millis 390 usercpu_time_millis 420 usercpu_time_millis 430 usercpu_time_millis 360 usercpu_time_millis 380 usercpu_time_millis 400 usercpu_time_millis 400 usercpu_time_millis 380 usercpu_time_millis 420 usercpu_time_millis 400 usercpu_time_millis 380 usercpu_time_millis 440 usercpu_time_millis 390 usercpu_time_millis 370 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 420 usercpu_time_millis 380 usercpu_time_millis 400 usercpu_time_millis 400 usercpu_time_millis 400 usercpu_time_millis 420 usercpu_time_millis 400 usercpu_time_millis 380 usercpu_time_millis 390 usercpu_time_millis 390 usercpu_time_millis 410 usercpu_time_millis 390 usercpu_time_millis 410 usercpu_time_millis 400 usercpu_time_millis 380 usercpu_time_millis 440 usercpu_time_millis 380 usercpu_time_millis 370 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 420 usercpu_time_millis 430 usercpu_time_millis 390 usercpu_time_millis 430 usercpu_time_millis 370 usercpu_time_millis 380 usercpu_time_millis 390 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 390 usercpu_time_millis 370 usercpu_time_millis 380 usercpu_time_millis 400 usercpu_time_millis 370 usercpu_time_millis 400 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 370 usercpu_time_millis 370 usercpu_time_millis 410 usercpu_time_millis 380 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