209820 2 Joaquin Vanschoren 4186 Supervised Classification predictive_accuracy 1182 weka.AdaBoostM1_DecisionStump(12) 2030 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump P 100 1182 S 1 1182 I 160 1182 W weka.classifiers.trees.DecisionStump 1182 weka weka_3.7.12 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 696652 description https://api.openml.org/data/download/696652/weka_generated_run1080182527441741237.xml -1 696655 model_readable https://api.openml.org/data/download/696655/WekaModel_weka.classifiers.meta.AdaBoostM1542252253531426736.model -1 696654 model_serialized https://api.openml.org/data/download/696654/WekaSerialized_weka.classifiers.meta.AdaBoostM12235431512558836101.model -1 696653 predictions https://api.openml.org/data/download/696653/weka_generated_predictions814189988466685913.arff area_under_roc_curve 0.721794 [0.673416,0.773816,0.756062,0.768825,0.768054,0.723467,0.760824,0.512582,0.737448,0.634821,0.719558,0.737448,0.716541,0.721626,0.737448,0.761035,0.731759,0.737448,0.734465,0.766217,0.779174,0.7708,0.498083,0.737448,0.734655,0.773604] average_cost 0 f_measure 0.012229 [0,0.030662,0,0,0,0,0,0,0.132996,0,0,0,0,0,0,0,0,0,0,0,0.154177,0,0,0,0,0] kappa 0.039976 kb_relative_information_score 14465.725664 mean_absolute_error 0.071467 mean_prior_absolute_error 0.073964 number_of_instances 77970 [3000,3000,3000,3000,3000,2980,3000,3000,3000,3000,3000,3000,2990,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.009015 [0,0.079387,0,0,0,0,0,0,0.071235,0,0,0,0,0,0,0,0,0,0,0,0.08367,0,0,0,0,0] predictive_accuracy 0.076914 prior_entropy 4.700438 recall 0.076914 [0,0.019,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0.98,0,0,0,0,0] relative_absolute_error 0.966237 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.189039 root_relative_squared_error 0.983001 scimark_benchmark 1313.57262 [792.4763610671445, 994.3008483142872, 543.5291474252327, 1105.1602121362496, 3132.396530689446] total_cost 0 usercpu_time_millis 1610 usercpu_time_millis_testing 20 usercpu_time_millis_training 1590 area_under_roc_curve 0.727385 [0.617333,0.781333,0.764,0.781333,0.781333,0.738667,0.781333,0.6,0.738667,0.634667,0.721333,0.738667,0.721333,0.704,0.738667,0.764,0.712,0.738667,0.738667,0.746667,0.781333,0.781333,0.548,0.738667,0.738667,0.781333] area_under_roc_curve 0.723641 [0.71,0.758,0.775333,0.775333,0.775333,0.727333,0.775333,0.536667,0.744667,0.588667,0.727333,0.744667,0.692667,0.727333,0.744667,0.758,0.706,0.744667,0.744667,0.758,0.775333,0.775333,0.502,0.744667,0.727333,0.775333] area_under_roc_curve 0.730974 [0.701333,0.784,0.766667,0.784,0.784,0.736,0.766667,0.614667,0.736,0.684,0.701333,0.736,0.701333,0.718667,0.736,0.766667,0.749333,0.736,0.736,0.766667,0.784,0.784,0.493333,0.736,0.736,0.766667] area_under_roc_curve 0.723231 [0.707333,0.778,0.743333,0.778,0.778,0.724667,0.778,0.534,0.742,0.586,0.742,0.742,0.742,0.724667,0.742,0.743333,0.726,0.742,0.742,0.760667,0.778,0.760667,0.464667,0.742,0.724667,0.778] area_under_roc_curve 0.736821 [0.713333,0.772,0.772,0.789333,0.772,0.713333,0.789333,0.644,0.730667,0.644,0.730667,0.730667,0.730667,0.713333,0.730667,0.772,0.754667,0.730667,0.730667,0.789333,0.789333,0.789333,0.592,0.730667,0.713333,0.789333] area_under_roc_curve 0.728923 [0.722667,0.78,0.762667,0.78,0.78,0.74,0.762667,0.462667,0.74,0.705333,0.722667,0.74,0.74,0.74,0.74,0.78,0.745333,0.74,0.722667,0.762667,0.78,0.78,0.48,0.74,0.74,0.762667] area_under_roc_curve 0.733231 [0.716,0.786667,0.769333,0.786667,0.769333,0.733333,0.786667,0.56,0.733333,0.664,0.733333,0.733333,0.716,0.733333,0.733333,0.786667,0.717333,0.733333,0.733333,0.786667,0.786667,0.786667,0.542667,0.733333,0.733333,0.769333] area_under_roc_curve 0.727949 [0.686,0.782,0.782,0.782,0.782,0.738,0.764667,0.512667,0.738,0.668667,0.720667,0.738,0.738,0.738,0.738,0.764667,0.712667,0.738,0.738,0.764667,0.782,0.782,0.495333,0.738,0.738,0.764667] area_under_roc_curve 0.727436 [0.691333,0.776667,0.759333,0.776667,0.776667,0.726,0.776667,0.552667,0.743333,0.587333,0.708667,0.743333,0.726,0.726,0.743333,0.759333,0.742,0.743333,0.743333,0.759333,0.776667,0.776667,0.535333,0.743333,0.743333,0.776667] area_under_roc_curve 0.731026 [0.723333,0.779333,0.762,0.779333,0.779333,0.740667,0.744667,0.55,0.740667,0.619333,0.723333,0.740667,0.723333,0.740667,0.740667,0.779333,0.762,0.740667,0.740667,0.779333,0.779333,0.779333,0.498,0.740667,0.740667,0.779333] area_under_roc_curve 0.729641 [0.666667,0.784,0.784,0.766667,0.766667,0.736,0.784,0.510667,0.736,0.701333,0.736,0.736,0.718667,0.736,0.736,0.749333,0.732,0.736,0.736,0.784,0.784,0.766667,0.528,0.736,0.736,0.784] area_under_roc_curve 0.728923 [0.705333,0.78,0.762667,0.78,0.78,0.722667,0.762667,0.48,0.74,0.688,0.705333,0.74,0.74,0.74,0.74,0.745333,0.762667,0.74,0.74,0.78,0.78,0.762667,0.514667,0.74,0.74,0.78] area_under_roc_curve 0.732513 [0.650667,0.782667,0.782667,0.782667,0.765333,0.737333,0.782667,0.598667,0.737333,0.650667,0.737333,0.737333,0.737333,0.737333,0.737333,0.782667,0.748,0.737333,0.737333,0.765333,0.782667,0.782667,0.512,0.737333,0.737333,0.765333] area_under_roc_curve 0.730667 [0.708,0.76,0.76,0.777333,0.777333,0.725333,0.777333,0.5,0.742667,0.708,0.725333,0.742667,0.708,0.725333,0.742667,0.777333,0.777333,0.742667,0.742667,0.777333,0.777333,0.76,0.5,0.742667,0.742667,0.777333] area_under_roc_curve 0.719282 [0.66,0.773333,0.756,0.756,0.773333,0.729333,0.738667,0.452,0.746667,0.66,0.746667,0.746667,0.746667,0.746667,0.746667,0.756,0.721333,0.746667,0.746667,0.756,0.773333,0.773333,0.382667,0.746667,0.746667,0.773333] area_under_roc_curve 0.724769 [0.639333,0.776667,0.742,0.742,0.759333,0.708667,0.776667,0.57,0.743333,0.622,0.708667,0.743333,0.691333,0.726,0.743333,0.776667,0.776667,0.743333,0.743333,0.742,0.776667,0.776667,0.552667,0.743333,0.743333,0.776667] area_under_roc_curve 0.726103 [0.674,0.776667,0.724667,0.776667,0.759333,0.743333,0.776667,0.500667,0.743333,0.604667,0.743333,0.743333,0.726,0.743333,0.743333,0.759333,0.776667,0.743333,0.743333,0.776667,0.776667,0.776667,0.500667,0.743333,0.743333,0.759333] area_under_roc_curve 0.736872 [0.718,0.784667,0.784667,0.767333,0.784667,0.735333,0.784667,0.596667,0.735333,0.718,0.718,0.735333,0.700667,0.735333,0.735333,0.767333,0.784667,0.735333,0.735333,0.767333,0.784667,0.784667,0.51,0.735333,0.735333,0.784667] area_under_roc_curve 0.725128 [0.672,0.778667,0.761333,0.778667,0.744,0.724,0.778667,0.533333,0.741333,0.62,0.741333,0.741333,0.706667,0.724,0.741333,0.761333,0.726667,0.741333,0.741333,0.778667,0.778667,0.761333,0.516,0.741333,0.741333,0.778667] area_under_roc_curve 0.731385 [0.634667,0.781333,0.764,0.781333,0.781333,0.738667,0.746667,0.548,0.738667,0.704,0.721333,0.738667,0.738667,0.738667,0.738667,0.781333,0.746667,0.738667,0.738667,0.781333,0.781333,0.781333,0.513333,0.738667,0.738667,0.781333] area_under_roc_curve 0.726872 [0.692,0.758667,0.758667,0.758667,0.776,0.726667,0.758667,0.518667,0.744,0.657333,0.709333,0.744,0.709333,0.709333,0.744,0.776,0.758667,0.744,0.726667,0.776,0.776,0.776,0.536,0.744,0.744,0.776] area_under_roc_curve 0.732154 [0.687333,0.780667,0.780667,0.780667,0.780667,0.739333,0.763333,0.548667,0.739333,0.704667,0.739333,0.739333,0.739333,0.722,0.739333,0.780667,0.728667,0.739333,0.739333,0.780667,0.780667,0.780667,0.462,0.739333,0.739333,0.780667] area_under_roc_curve 0.727641 [0.640667,0.758,0.775333,0.775333,0.775333,0.727333,0.758,0.432667,0.744667,0.692667,0.727333,0.744667,0.744667,0.744667,0.744667,0.775333,0.758,0.744667,0.744667,0.758,0.775333,0.775333,0.554,0.744667,0.727333,0.775333] area_under_roc_curve 0.729077 [0.667333,0.783333,0.783333,0.766,0.748667,0.736667,0.748667,0.546,0.736667,0.632667,0.736667,0.736667,0.736667,0.736667,0.736667,0.766,0.766,0.736667,0.736667,0.783333,0.783333,0.783333,0.528667,0.736667,0.736667,0.766] area_under_roc_curve 0.731179 [0.685333,0.782667,0.765333,0.782667,0.782667,0.702667,0.782667,0.546667,0.737333,0.685333,0.737333,0.737333,0.702667,0.72,0.737333,0.782667,0.730667,0.737333,0.737333,0.782667,0.782667,0.782667,0.564,0.737333,0.737333,0.748] area_under_roc_curve 0.726615 [0.686,0.782,0.764667,0.764667,0.782,0.738,0.782,0.616667,0.738,0.651333,0.720667,0.738,0.703333,0.720667,0.738,0.747333,0.695333,0.738,0.738,0.782,0.782,0.782,0.443333,0.738,0.738,0.782] area_under_roc_curve 0.73041 [0.684667,0.783333,0.783333,0.748667,0.783333,0.719333,0.766,0.494,0.736667,0.684667,0.736667,0.736667,0.736667,0.736667,0.736667,0.766,0.766,0.736667,0.736667,0.766,0.783333,0.766,0.546,0.736667,0.736667,0.783333] area_under_roc_curve 0.729282 [0.668667,0.782,0.764667,0.747333,0.782,0.738,0.747333,0.564667,0.738,0.634,0.703333,0.738,0.738,0.738,0.738,0.764667,0.764667,0.738,0.738,0.782,0.782,0.782,0.53,0.738,0.738,0.782] area_under_roc_curve 0.730051 [0.704,0.781333,0.746667,0.764,0.781333,0.738667,0.764,0.548,0.738667,0.686667,0.738667,0.738667,0.721333,0.721333,0.738667,0.781333,0.764,0.738667,0.721333,0.764,0.781333,0.781333,0.478667,0.738667,0.738667,0.781333] area_under_roc_curve 0.725128 [0.689333,0.778667,0.744,0.778667,0.778667,0.724,0.761333,0.602667,0.741333,0.585333,0.741333,0.741333,0.706667,0.706667,0.741333,0.778667,0.692,0.741333,0.741333,0.778667,0.778667,0.778667,0.481333,0.741333,0.741333,0.778667] area_under_roc_curve 0.733846 [0.702667,0.782667,0.748,0.782667,0.782667,0.737333,0.782667,0.529333,0.737333,0.650667,0.737333,0.737333,0.737333,0.72,0.737333,0.782667,0.765333,0.737333,0.737333,0.782667,0.782667,0.765333,0.564,0.737333,0.737333,0.782667] area_under_roc_curve 0.728359 [0.688667,0.779333,0.779333,0.762,0.762,0.740667,0.762,0.55,0.740667,0.619333,0.706,0.740667,0.723333,0.740667,0.740667,0.779333,0.762,0.740667,0.740667,0.762,0.779333,0.762,0.515333,0.740667,0.740667,0.779333] area_under_roc_curve 0.732103 [0.7,0.785333,0.768,0.785333,0.785333,0.734667,0.768,0.561333,0.734667,0.630667,0.717333,0.734667,0.717333,0.734667,0.734667,0.768,0.733333,0.734667,0.734667,0.768,0.785333,0.785333,0.578667,0.734667,0.734667,0.785333] area_under_roc_curve 0.725692 [0.654,0.779333,0.727333,0.762,0.779333,0.740667,0.779333,0.515333,0.740667,0.602,0.740667,0.740667,0.740667,0.740667,0.740667,0.779333,0.71,0.740667,0.740667,0.779333,0.779333,0.779333,0.515333,0.740667,0.740667,0.779333] area_under_roc_curve 0.730051 [0.704,0.781333,0.764,0.746667,0.781333,0.738667,0.764,0.548,0.738667,0.634667,0.738667,0.738667,0.738667,0.704,0.738667,0.781333,0.764,0.738667,0.738667,0.781333,0.781333,0.764,0.513333,0.738667,0.738667,0.781333] area_under_roc_curve 0.727231 [0.672667,0.778,0.726,0.778,0.778,0.742,0.778,0.43,0.742,0.69,0.724667,0.742,0.742,0.742,0.742,0.778,0.743333,0.742,0.742,0.778,0.778,0.760667,0.534,0.742,0.724667,0.778] area_under_roc_curve 0.73159 [0.722667,0.78,0.78,0.78,0.78,0.74,0.762667,0.514667,0.74,0.653333,0.722667,0.74,0.705333,0.74,0.74,0.762667,0.762667,0.74,0.722667,0.762667,0.78,0.78,0.549333,0.74,0.74,0.78] area_under_roc_curve 0.729692 [0.619333,0.779333,0.744667,0.779333,0.762,0.740667,0.779333,0.55,0.740667,0.706,0.740667,0.740667,0.723333,0.723333,0.740667,0.779333,0.762,0.740667,0.740667,0.762,0.779333,0.779333,0.515333,0.740667,0.723333,0.779333] area_under_roc_curve 0.730256 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[0.688985,0.779039,0.779039,0.779039,0.779039,0.722759,0.727036,0.498309,0.740988,0.671651,0.740988,0.740988,0.723654,0.740988,0.740988,0.779039,0.74437,0.740988,0.740988,0.779039,0.779039,0.779039,0.515643,0.740988,0.740988,0.779039] area_under_roc_curve 0.724748 [0.686983,0.781041,0.729039,0.763707,0.781041,0.721651,0.746373,0.617646,0.738985,0.652314,0.738985,0.738985,0.702851,0.721651,0.738985,0.781041,0.711704,0.738985,0.738985,0.781041,0.781041,0.781041,0.409635,0.738985,0.738985,0.781041] area_under_roc_curve 0.729429 [0.643636,0.78972,0.755051,0.78972,0.755051,0.73,0.737717,0.574299,0.730307,0.695639,0.712973,0.730307,0.730307,0.712973,0.730307,0.78972,0.737717,0.730307,0.730307,0.772385,0.78972,0.772385,0.574299,0.730307,0.730307,0.78972] area_under_roc_curve 0.727779 [0.68498,0.783044,0.783044,0.783044,0.76571,0.736983,0.76571,0.528972,0.736983,0.68498,0.719648,0.736983,0.718759,0.719648,0.736983,0.783044,0.713707,0.736983,0.736983,0.76571,0.783044,0.748376,0.511638,0.736983,0.736983,0.783044] area_under_roc_curve 0.734816 [0.682977,0.750378,0.785047,0.785047,0.785047,0.717646,0.785047,0.544304,0.73498,0.682977,0.73498,0.73498,0.734667,0.73498,0.73498,0.750378,0.767713,0.73498,0.73498,0.785047,0.785047,0.785047,0.578972,0.73498,0.73498,0.785047] area_under_roc_curve 0.7307 [0.65632,0.777036,0.777036,0.759702,0.742368,0.742991,0.777036,0.517646,0.742991,0.638985,0.725656,0.742991,0.724759,0.708322,0.742991,0.777036,0.777036,0.742991,0.742991,0.777036,0.777036,0.777036,0.586983,0.742991,0.742991,0.777036] area_under_roc_curve 0.728754 [0.686983,0.781041,0.781041,0.763707,0.763707,0.702851,0.763707,0.600312,0.738985,0.63498,0.721651,0.738985,0.738985,0.721651,0.738985,0.781041,0.729039,0.738985,0.738985,0.763707,0.781041,0.781041,0.496306,0.738985,0.738985,0.781041] area_under_roc_curve 0.732553 [0.702982,0.782377,0.765042,0.782377,0.782377,0.737333,0.747708,0.494971,0.73765,0.720316,0.720316,0.73765,0.73765,0.73765,0.73765,0.765042,0.765042,0.73765,0.73765,0.782377,0.782377,0.782377,0.512305,0.73765,0.73765,0.782377] area_under_roc_curve 0.726129 [0.70899,0.776368,0.776368,0.759034,0.776368,0.70899,0.759034,0.466311,0.743658,0.622319,0.726324,0.743658,0.707517,0.70899,0.743658,0.776368,0.7417,0.743658,0.743658,0.759034,0.776368,0.776368,0.604984,0.743658,0.726324,0.759034] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011022 [0,0,0,0,0,0,0,0,0.13544,0,0,0,0,0,0,0,0,0,0,0,0.151134,0,0,0,0,0] f_measure 0.01107 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.15625,0,0,0,0,0] f_measure 0.011035 [0,0,0,0,0,0,0,0,0.134228,0,0,0,0,0,0,0,0,0,0,0,0.152672,0,0,0,0,0] f_measure 0.011111 [0,0,0,0,0,0,0,0,0.12931,0,0,0,0,0,0,0,0,0,0,0,0.159574,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.01109 [0,0,0,0,0,0,0,0,0.130435,0,0,0,0,0,0,0,0,0,0,0,0.157895,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011028 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.151899,0,0,0,0,0] f_measure 0.011042 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.01107 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.15625,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011062 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011031 [0,0,0,0,0,0,0,0,0.134529,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011014 [0,0,0,0,0,0,0,0,0.136364,0,0,0,0,0,0,0,0,0,0,0,0.15,0,0,0,0,0] f_measure 0.011028 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.151899,0,0,0,0,0] f_measure 0.011028 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.151899,0,0,0,0,0] f_measure 0.011075 [0,0,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.010831 [0,0.146465,0,0,0,0,0,0,0.135135,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.011049 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154242,0,0,0,0,0] f_measure 0.011022 [0,0,0,0,0,0,0,0,0.13544,0,0,0,0,0,0,0,0,0,0,0,0.151134,0,0,0,0,0] f_measure 0.011066 [0,0,0,0,0,0,0,0,0.131868,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0] f_measure 0.011062 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011066 [0,0,0,0,0,0,0,0,0.131868,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011062 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011042 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.01108 [0,0,0,0,0,0,0,0,0.131004,0,0,0,0,0,0,0,0,0,0,0,0.157068,0,0,0,0,0] f_measure 0.011042 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011035 [0,0,0,0,0,0,0,0,0.134228,0,0,0,0,0,0,0,0,0,0,0,0.152672,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011042 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.01107 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.15625,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011042 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.011075 [0,0,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.01107 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.15625,0,0,0,0,0] f_measure 0.011035 [0,0,0,0,0,0,0,0,0.134228,0,0,0,0,0,0,0,0,0,0,0,0.152672,0,0,0,0,0] f_measure 0.011031 [0,0,0,0,0,0,0,0,0.134529,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011031 [0,0,0,0,0,0,0,0,0.134529,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011035 [0,0,0,0,0,0,0,0,0.134228,0,0,0,0,0,0,0,0,0,0,0,0.152672,0,0,0,0,0] f_measure 0.011049 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154242,0,0,0,0,0] f_measure 0.01108 [0,0,0,0,0,0,0,0,0.131004,0,0,0,0,0,0,0,0,0,0,0,0.157068,0,0,0,0,0] f_measure 0.011062 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011031 [0,0,0,0,0,0,0,0,0.134529,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.01109 [0,0,0,0,0,0,0,0,0.130435,0,0,0,0,0,0,0,0,0,0,0,0.157895,0,0,0,0,0] f_measure 0.011038 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153061,0,0,0,0,0] f_measure 0.011017 [0,0,0,0,0,0,0,0,0.136054,0,0,0,0,0,0,0,0,0,0,0,0.150376,0,0,0,0,0] f_measure 0.011053 [0,0,0,0,0,0,0,0,0.132743,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.155039,0,0,0,0,0] f_measure 0.011035 [0,0,0,0,0,0,0,0,0.134228,0,0,0,0,0,0,0,0,0,0,0,0.152672,0,0,0,0,0] f_measure 0.011045 [0,0,0,0,0,0,0,0,0.133333,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011075 [0,0,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.01107 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.15625,0,0,0,0,0] f_measure 0.011067 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.0111 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.01113 [0,0,0,0,0,0,0,0,0.12987,0,0,0,0,0,0,0,0,0,0,0,0.159151,0,0,0,0,0] f_measure 0.01112 [0,0,0,0,0,0,0,0,0.130435,0,0,0,0,0,0,0,0,0,0,0,0.158311,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011091 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0] f_measure 0.011071 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011071 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011105 [0,0,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0.157068,0,0,0,0,0] f_measure 0.011067 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.011091 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0] f_measure 0.0111 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011071 [0,0,0,0,0,0,0,0,0.13363,0,0,0,0,0,0,0,0,0,0,0,0.153846,0,0,0,0,0] f_measure 0.011067 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.0111 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.011105 [0,0,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0.157068,0,0,0,0,0] f_measure 0.011051 [0,0,0,0,0,0,0,0,0.13544,0,0,0,0,0,0,0,0,0,0,0,0.151515,0,0,0,0,0] f_measure 0.01104 [0,0,0,0,0,0,0,0,0.136674,0,0,0,0,0,0,0,0,0,0,0,0.15,0,0,0,0,0] f_measure 0.0111 [0,0,0,0,0,0,0,0,0.131579,0,0,0,0,0,0,0,0,0,0,0,0.156658,0,0,0,0,0] f_measure 0.011087 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011067 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0] f_measure 0.011079 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011142 [0,0,0,0,0,0,0,0,0.12931,0,0,0,0,0,0,0,0,0,0,0,0.16,0,0,0,0,0] f_measure 0.011091 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0] f_measure 0.010702 [0,0.146597,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.011057 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0] f_measure 0.011079 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0] f_measure 0.011087 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0] f_measure 0.011054 [0,0,0,0,0,0,0,0,0.135135,0,0,0,0,0,0,0,0,0,0,0,0.151899,0,0,0,0,0] kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.038667 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.04 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.037383 kappa 0.040053 kappa 0.040053 kappa 0.040053 kappa 0.040053 kb_relative_information_score 143.590915 kb_relative_information_score 143.657057 kb_relative_information_score 144.660166 kb_relative_information_score 143.873756 kb_relative_information_score 144.995606 kb_relative_information_score 145.487742 kb_relative_information_score 145.349773 kb_relative_information_score 144.859368 kb_relative_information_score 144.246443 kb_relative_information_score 145.441968 kb_relative_information_score 144.876061 kb_relative_information_score 145.102239 kb_relative_information_score 145.246305 kb_relative_information_score 145.472633 kb_relative_information_score 144.071939 kb_relative_information_score 143.061207 kb_relative_information_score 144.59733 kb_relative_information_score 146.111977 kb_relative_information_score 143.891481 kb_relative_information_score 145.268885 kb_relative_information_score 143.602401 kb_relative_information_score 145.906741 kb_relative_information_score 144.840748 kb_relative_information_score 144.615418 kb_relative_information_score 144.69458 kb_relative_information_score 144.080875 kb_relative_information_score 145.039375 kb_relative_information_score 144.512812 kb_relative_information_score 145.166422 kb_relative_information_score 143.581205 kb_relative_information_score 145.644537 kb_relative_information_score 144.578285 kb_relative_information_score 144.789451 kb_relative_information_score 144.249322 kb_relative_information_score 144.952345 kb_relative_information_score 144.906551 kb_relative_information_score 145.28841 kb_relative_information_score 144.771574 kb_relative_information_score 144.96641 kb_relative_information_score 144.852012 kb_relative_information_score 145.053071 kb_relative_information_score 143.805675 kb_relative_information_score 145.058171 kb_relative_information_score 145.595108 kb_relative_information_score 145.634126 kb_relative_information_score 145.819977 kb_relative_information_score 145.01094 kb_relative_information_score 144.858825 kb_relative_information_score 145.121152 kb_relative_information_score 145.282401 kb_relative_information_score 144.060303 kb_relative_information_score 145.302284 kb_relative_information_score 144.482865 kb_relative_information_score 144.46977 kb_relative_information_score 145.246031 kb_relative_information_score 144.684814 kb_relative_information_score 143.523098 kb_relative_information_score 143.950371 kb_relative_information_score 144.65345 kb_relative_information_score 145.629408 kb_relative_information_score 145.311363 kb_relative_information_score 144.900104 kb_relative_information_score 144.633659 kb_relative_information_score 145.455546 kb_relative_information_score 143.519847 kb_relative_information_score 144.221295 kb_relative_information_score 144.292893 kb_relative_information_score 144.468005 kb_relative_information_score 145.996296 kb_relative_information_score 144.749529 kb_relative_information_score 144.025676 kb_relative_information_score 143.197476 kb_relative_information_score 143.996415 kb_relative_information_score 144.815403 kb_relative_information_score 144.834562 kb_relative_information_score 144.588257 kb_relative_information_score 144.656347 kb_relative_information_score 145.572387 kb_relative_information_score 143.455828 kb_relative_information_score 143.503283 kb_relative_information_score 144.723375 kb_relative_information_score 144.817292 kb_relative_information_score 145.177699 kb_relative_information_score 144.601113 kb_relative_information_score 144.55865 kb_relative_information_score 144.571785 kb_relative_information_score 144.523167 kb_relative_information_score 143.465614 kb_relative_information_score 143.798212 kb_relative_information_score 145.046762 kb_relative_information_score 144.280088 kb_relative_information_score 145.083264 kb_relative_information_score 143.61121 kb_relative_information_score 143.586236 kb_relative_information_score 144.258202 kb_relative_information_score 145.316065 kb_relative_information_score 144.589126 kb_relative_information_score 144.142193 kb_relative_information_score 145.684323 kb_relative_information_score 143.55295 mean_absolute_error 0.071504 mean_absolute_error 0.071506 mean_absolute_error 0.071468 mean_absolute_error 0.071499 mean_absolute_error 0.07145 mean_absolute_error 0.071444 mean_absolute_error 0.071443 mean_absolute_error 0.071464 mean_absolute_error 0.071484 mean_absolute_error 0.071443 mean_absolute_error 0.071461 mean_absolute_error 0.071456 mean_absolute_error 0.071447 mean_absolute_error 0.071443 mean_absolute_error 0.071496 mean_absolute_error 0.071524 mean_absolute_error 0.071474 mean_absolute_error 0.071417 mean_absolute_error 0.071497 mean_absolute_error 0.071448 mean_absolute_error 0.071496 mean_absolute_error 0.071427 mean_absolute_error 0.071465 mean_absolute_error 0.07147 mean_absolute_error 0.071466 mean_absolute_error 0.071489 mean_absolute_error 0.071455 mean_absolute_error 0.071473 mean_absolute_error 0.071453 mean_absolute_error 0.071506 mean_absolute_error 0.071433 mean_absolute_error 0.071472 mean_absolute_error 0.071461 mean_absolute_error 0.071484 mean_absolute_error 0.071459 mean_absolute_error 0.071463 mean_absolute_error 0.071447 mean_absolute_error 0.071466 mean_absolute_error 0.071458 mean_absolute_error 0.071461 mean_absolute_error 0.071453 mean_absolute_error 0.071499 mean_absolute_error 0.071455 mean_absolute_error 0.071436 mean_absolute_error 0.071433 mean_absolute_error 0.07143 mean_absolute_error 0.07146 mean_absolute_error 0.071463 mean_absolute_error 0.07145 mean_absolute_error 0.071447 mean_absolute_error 0.071493 mean_absolute_error 0.071449 mean_absolute_error 0.071478 mean_absolute_error 0.071474 mean_absolute_error 0.071448 mean_absolute_error 0.071471 mean_absolute_error 0.07151 mean_absolute_error 0.071491 mean_absolute_error 0.071468 mean_absolute_error 0.071435 mean_absolute_error 0.071449 mean_absolute_error 0.071455 mean_absolute_error 0.071471 mean_absolute_error 0.071446 mean_absolute_error 0.071509 mean_absolute_error 0.071483 mean_absolute_error 0.071484 mean_absolute_error 0.071477 mean_absolute_error 0.071421 mean_absolute_error 0.071466 mean_absolute_error 0.071487 mean_absolute_error 0.071514 mean_absolute_error 0.071482 mean_absolute_error 0.071452 mean_absolute_error 0.071458 mean_absolute_error 0.071462 mean_absolute_error 0.071461 mean_absolute_error 0.071432 mean_absolute_error 0.071506 mean_absolute_error 0.071505 mean_absolute_error 0.07146 mean_absolute_error 0.071455 mean_absolute_error 0.071447 mean_absolute_error 0.071465 mean_absolute_error 0.071468 mean_absolute_error 0.071463 mean_absolute_error 0.071464 mean_absolute_error 0.071506 mean_absolute_error 0.071496 mean_absolute_error 0.071449 mean_absolute_error 0.071478 mean_absolute_error 0.071449 mean_absolute_error 0.0715 mean_absolute_error 0.071496 mean_absolute_error 0.071477 mean_absolute_error 0.071437 mean_absolute_error 0.071464 mean_absolute_error 0.071479 mean_absolute_error 0.071428 mean_absolute_error 0.071501 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005938 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081744,0,0,0,0,0] precision 0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0] precision 0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0] precision 0.005993 [0,0,0,0,0,0,0,0,0.069124,0,0,0,0,0,0,0,0,0,0,0,0.086705,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.00598 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.085714,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0] precision 0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005933 [0,0,0,0,0,0,0,0,0.073171,0,0,0,0,0,0,0,0,0,0,0,0.081081,0,0,0,0,0] precision 0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0] precision 0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0] precision 0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005835 [0,0.079235,0,0,0,0,0,0,0.072464,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.005955 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083565,0,0,0,0,0] precision 0.005938 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081744,0,0,0,0,0] precision 0.005965 [0,0,0,0,0,0,0,0,0.070588,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0] precision 0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005965 [0,0,0,0,0,0,0,0,0.070588,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005974 [0,0,0,0,0,0,0,0,0.070093,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0] precision 0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0] precision 0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0] precision 0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0] precision 0.005955 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083565,0,0,0,0,0] precision 0.005974 [0,0,0,0,0,0,0,0,0.070093,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0] precision 0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.00598 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.085714,0,0,0,0,0] precision 0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0] precision 0.005934 [0,0,0,0,0,0,0,0,0.072993,0,0,0,0,0,0,0,0,0,0,0,0.081301,0,0,0,0,0] precision 0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0] precision 0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0] precision 0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0] precision 0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.006004 [0,0,0,0,0,0,0,0,0.069444,0,0,0,0,0,0,0,0,0,0,0,0.086455,0,0,0,0,0] precision 0.005997 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.08596,0,0,0,0,0] precision 0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0] precision 0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005988 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0] precision 0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0] precision 0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0] precision 0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005988 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0] precision 0.005954 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081967,0,0,0,0,0] precision 0.005947 [0,0,0,0,0,0,0,0,0.07335,0,0,0,0,0,0,0,0,0,0,0,0.081081,0,0,0,0,0] precision 0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0] precision 0.005977 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0] precision 0.005971 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.006011 [0,0,0,0,0,0,0,0,0.069124,0,0,0,0,0,0,0,0,0,0,0,0.086957,0,0,0,0,0] precision 0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0] precision 0.005769 [0,0.079545,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0] precision 0.005971 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0] precision 0.005977 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0] precision 0.005956 [0,0,0,0,0,0,0,0,0.072464,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0] predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.075641 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.076923 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.074454 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 predictive_accuracy 0.077022 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.075641 [0,0.966667,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.074454 [0,0.933333,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] relative_absolute_error 0.966732 relative_absolute_error 0.966764 relative_absolute_error 0.966244 relative_absolute_error 0.966668 relative_absolute_error 0.966006 relative_absolute_error 0.96592 relative_absolute_error 0.965906 relative_absolute_error 0.966187 relative_absolute_error 0.966459 relative_absolute_error 0.965905 relative_absolute_error 0.966157 relative_absolute_error 0.966083 relative_absolute_error 0.965964 relative_absolute_error 0.965913 relative_absolute_error 0.96663 relative_absolute_error 0.967007 relative_absolute_error 0.966325 relative_absolute_error 0.96556 relative_absolute_error 0.966637 relative_absolute_error 0.965977 relative_absolute_error 0.966626 relative_absolute_error 0.965697 relative_absolute_error 0.966209 relative_absolute_error 0.966274 relative_absolute_error 0.966224 relative_absolute_error 0.966537 relative_absolute_error 0.966078 relative_absolute_error 0.96632 relative_absolute_error 0.966044 relative_absolute_error 0.966755 relative_absolute_error 0.965777 relative_absolute_error 0.966308 relative_absolute_error 0.966153 relative_absolute_error 0.96646 relative_absolute_error 0.966121 relative_absolute_error 0.96618 relative_absolute_error 0.965967 relative_absolute_error 0.966221 relative_absolute_error 0.966109 relative_absolute_error 0.966158 relative_absolute_error 0.966048 relative_absolute_error 0.966669 relative_absolute_error 0.966078 relative_absolute_error 0.965819 relative_absolute_error 0.96578 relative_absolute_error 0.965727 relative_absolute_error 0.966142 relative_absolute_error 0.966174 relative_absolute_error 0.966009 relative_absolute_error 0.96597 relative_absolute_error 0.966585 relative_absolute_error 0.965985 relative_absolute_error 0.966377 relative_absolute_error 0.966333 relative_absolute_error 0.965972 relative_absolute_error 0.966289 relative_absolute_error 0.966809 relative_absolute_error 0.966564 relative_absolute_error 0.966249 relative_absolute_error 0.965806 relative_absolute_error 0.965995 relative_absolute_error 0.966073 relative_absolute_error 0.966281 relative_absolute_error 0.965948 relative_absolute_error 0.966802 relative_absolute_error 0.966457 relative_absolute_error 0.966468 relative_absolute_error 0.96637 relative_absolute_error 0.965608 relative_absolute_error 0.966217 relative_absolute_error 0.966503 relative_absolute_error 0.966872 relative_absolute_error 0.966441 relative_absolute_error 0.966036 relative_absolute_error 0.966115 relative_absolute_error 0.966165 relative_absolute_error 0.966149 relative_absolute_error 0.965756 relative_absolute_error 0.966757 relative_absolute_error 0.966745 relative_absolute_error 0.966136 relative_absolute_error 0.966067 relative_absolute_error 0.965962 relative_absolute_error 0.966211 relative_absolute_error 0.966242 relative_absolute_error 0.966182 relative_absolute_error 0.966195 relative_absolute_error 0.966757 relative_absolute_error 0.966625 relative_absolute_error 0.965993 relative_absolute_error 0.966388 relative_absolute_error 0.965994 relative_absolute_error 0.966677 relative_absolute_error 0.966626 relative_absolute_error 0.966373 relative_absolute_error 0.965826 relative_absolute_error 0.966196 relative_absolute_error 0.966402 relative_absolute_error 0.965709 relative_absolute_error 0.966692 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 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