261918 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1098 weka.ConjunctiveRule(3) 1867 weka.classifiers.rules.ConjunctiveRule -- -N 3 -M 2.0 -P -1 -S 1 N 3 1098 M 2.0 1098 P -1 1098 S 1 1098 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 877881 description https://api.openml.org/data/download/877881/weka_generated_run6000897406896888535.xml -1 877884 model_readable https://api.openml.org/data/download/877884/WekaModel_weka.classifiers.rules.ConjunctiveRule4755828691563321161.model -1 877883 model_serialized https://api.openml.org/data/download/877883/WekaSerialized_weka.classifiers.rules.ConjunctiveRule8903241816684390516.model -1 877882 predictions https://api.openml.org/data/download/877882/weka_generated_predictions882703753733266619.arff area_under_roc_curve 0.667866 [0.606546,0.597858,0.614215,0.626939,0.618285,0.555103,0.886107,0.593859,0.601248,0.609308,0.655168,0.587027,0.609937,0.438646,0.443357,0.500503,0.587887,0.543762,0.624804,0.522865,0.629621,0.585709,0.815366,0.592982,0.632012] average_cost 0 f_measure 0.25464 [0,0,0,0,0,0,0.766237,0,0,0,0.455741,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.227551 kb_relative_information_score 2709.934961 mean_absolute_error 0.062441 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 0.201228 [0,0,0,0,0,0,0.67673,0,0,0,0.296804,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.395534 prior_entropy 3.812516 recall 0.395534 [0,0,0,0,0,0,0.88303,0,0,0,0.981132,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.879513 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.177182 root_relative_squared_error 0.940995 scimark_benchmark 1264.060888 [810.520762172206, 564.5927577803664, 526.8605953574935, 1108.4312851708987, 3309.899037725743] total_cost 0 usercpu_time_millis 7910 usercpu_time_millis_testing 0 usercpu_time_millis_training 7910 area_under_roc_curve 0.678097 [0.626543,0.625,0.627329,0.63141,0.626543,0.625,0.913192,0.625,0.375,0.513093,0.658915,0.456033,0.626543,0.375758,0.375,0.627329,0.625,0.625,0.625767,0.550528,0.632258,0.624242,0.890625,0.625,0.624242] area_under_roc_curve 0.673532 [0.631902,0.631098,0.632716,0.637821,0.632716,0.127273,0.886762,0.378049,0.621951,0.636943,0.667969,0.631902,0.63354,0.368902,0.368902,0.530435,0.630303,0.378049,0.631902,0.598793,0.590029,0.378049,0.884375,0.631098,0.630303] area_under_roc_curve 0.666077 [0.631902,0.631098,0.632716,0.584615,0.632716,0.631098,0.867851,0.631098,0.621951,0.636943,0.649277,0.631902,0.632716,0.369697,0.621951,0.63354,0.631098,0.378049,0.631902,0.446429,0.63871,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.660852 [0.638037,0.637195,0.536646,0.591026,0.638889,0.637195,0.879244,0.637195,0.615854,0.642405,0.657029,0.638037,0.638889,0.363636,0.468303,0.536646,0.637195,0.637195,0.638037,0.492011,0.644231,0.384146,0.705208,0.384146,0.636364] area_under_roc_curve 0.689811 [0.638037,0.637195,0.639752,0.644231,0.638037,0.636364,0.917065,0.384146,0.615854,0.643312,0.675781,0.468303,0.639752,0.363636,0.701431,0.536646,0.636364,0.637195,0.638037,0.52187,0.645161,0.637195,0.791667,0.637195,0.636364] area_under_roc_curve 0.683968 [0.632716,0.631098,0.63354,0.637821,0.632716,0.630303,0.905673,0.631098,0.621951,0.570411,0.666667,0.631902,0.632716,0.368902,0.537832,0.530435,0.630303,0.631098,0.631902,0.524436,0.63871,0.631098,0.884375,0.630303,0.630303] area_under_roc_curve 0.676007 [0.631902,0.631098,0.632716,0.637821,0.632716,0.631098,0.905673,0.631098,0.368902,0.570411,0.666667,0.631902,0.632716,0.621951,0.368098,0.469565,0.630303,0.127273,0.632716,0.524436,0.63871,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.691932 [0.653374,0.652439,0.654321,0.660256,0.653374,0.652439,0.93609,0.39939,0.853659,0.658228,0.661184,0.653374,0.65528,0.347561,0.686094,0.449068,0.651515,0.652439,0.653374,0.42006,0.66129,0.652439,0.8625,0.652439,0.651515] area_under_roc_curve 0.691054 [0.622699,0.621951,0.623457,0.628205,0.622699,0.621951,0.916951,0.621951,0.631098,0.627389,0.65625,0.622699,0.623457,0.631098,0.378049,0.624224,0.621212,0.621951,0.623457,0.54726,0.629032,0.621951,0.89375,0.621951,0.621212] area_under_roc_curve 0.680768 [0.635802,0.634146,0.636646,0.641026,0.635802,0.633333,0.901914,0.634146,0.366667,0.581387,0.670543,0.634969,0.635802,0.633333,0.534765,0.53354,0.634146,0.633333,0.634969,0.488722,0.593255,0.634146,0.88125,0.634146,0.633333] area_under_roc_curve 0.670905 [0.638037,0.637195,0.639752,0.644231,0.638889,0.637195,0.879244,0.637195,0.363636,0.584572,0.657029,0.638037,0.510802,0.384146,0.384146,0.330435,0.637195,0.637195,0.638037,0.5636,0.645161,0.637195,0.878125,0.637195,0.636364] area_under_roc_curve 0.668944 [0.638037,0.384146,0.638889,0.644231,0.638889,0.636364,0.879244,0.637195,0.866667,0.584572,0.674419,0.638889,0.639752,0.637195,0.131098,0.463354,0.637195,0.637195,0.638037,0.438411,0.645161,0.637195,0.791667,0.637195,0.636364] area_under_roc_curve 0.685501 [0.480573,0.64939,0.652174,0.657051,0.651235,0.64939,0.902028,0.64939,0.351515,0.597311,0.672533,0.480573,0.651235,0.351515,0.856707,0.445963,0.64939,0.64939,0.650307,0.505169,0.658065,0.64939,0.865625,0.64939,0.648485] area_under_roc_curve 0.652281 [0.625767,0.625,0.627329,0.63141,0.626543,0.624242,0.87537,0.371951,0.375,0.630573,0.624136,0.625767,0.498457,0.375758,0.286299,0.372671,0.624242,0.625,0.625767,0.556861,0.632258,0.625,0.804167,0.625,0.624242] area_under_roc_curve 0.676585 [0.628834,0.628049,0.630435,0.634615,0.62963,0.628049,0.871611,0.628049,0.875758,0.632911,0.662791,0.628834,0.527329,0.628049,0.710634,0.424224,0.627273,0.628049,0.628834,0.56015,0.586804,0.628049,0.801042,0.627273,0.627273] area_under_roc_curve 0.671391 [0.634969,0.634146,0.53354,0.641026,0.635802,0.634146,0.883003,0.634146,0.366667,0.581387,0.670543,0.465235,0.636646,0.366667,0.295501,0.636646,0.633333,0.634146,0.634969,0.527726,0.641026,0.634146,0.88125,0.381098,0.633333] area_under_roc_curve 0.640552 [0.623457,0.621951,0.624224,0.628205,0.623457,0.368902,0.822397,0.621951,0.378049,0.626582,0.62026,0.622699,0.623457,0.378788,0.283231,0.418012,0.621212,0.621951,0.622699,0.50553,0.629032,0.621951,0.807292,0.621951,0.621212] area_under_roc_curve 0.652528 [0.607362,0.606707,0.608025,0.612179,0.608025,0.353659,0.897927,0.606707,0.393293,0.610759,0.635659,0.437628,0.608696,0.393293,0.392638,0.49441,0.606707,0.606061,0.607362,0.57265,0.612903,0.606707,0.65,0.606707,0.606061] area_under_roc_curve 0.6659 [0.626543,0.625,0.627329,0.578205,0.625767,0.624242,0.87537,0.625,0.375,0.571833,0.658915,0.456033,0.626543,0.371951,0.375,0.524224,0.624242,0.625,0.626543,0.550528,0.632258,0.625,0.890625,0.625,0.624242] area_under_roc_curve 0.669366 [0.625767,0.371951,0.627329,0.63141,0.626543,0.625,0.913192,0.625,0.628049,0.630573,0.641525,0.625767,0.626543,0.375758,0.374233,0.627329,0.624242,0.624242,0.625767,0.478853,0.632258,0.625,0.717708,0.625,0.624242] area_under_roc_curve 0.685842 [0.638037,0.637195,0.639752,0.644231,0.638889,0.637195,0.898154,0.637195,0.615854,0.584572,0.674419,0.468303,0.638889,0.615854,0.384146,0.43354,0.637195,0.637195,0.638037,0.5636,0.645161,0.637195,0.878125,0.636364,0.636364] area_under_roc_curve 0.6619 [0.625767,0.625,0.524224,0.63141,0.626543,0.625,0.856459,0.625,0.628049,0.630573,0.658915,0.625767,0.626543,0.121212,0.371951,0.524224,0.625,0.625,0.626543,0.478853,0.632258,0.624242,0.804167,0.624242,0.624242] area_under_roc_curve 0.681221 [0.641104,0.640244,0.539752,0.646497,0.641975,0.640244,0.913306,0.640244,0.612805,0.587757,0.660905,0.641104,0.641975,0.387195,0.47137,0.539752,0.639394,0.640244,0.641104,0.534305,0.648387,0.639394,0.788542,0.640244,0.639394] area_under_roc_curve 0.684046 [0.625767,0.625,0.627329,0.578205,0.626543,0.624242,0.913192,0.625,0.881098,0.630573,0.658915,0.625767,0.626543,0.624242,0.374233,0.627329,0.624242,0.625,0.625767,0.517857,0.632258,0.625,0.804167,0.625,0.624242] area_under_roc_curve 0.665329 [0.634969,0.634146,0.635802,0.641026,0.635802,0.634146,0.901914,0.634146,0.365854,0.639241,0.635764,0.634969,0.635802,0.381098,0.534765,0.53354,0.633333,0.634146,0.634969,0.488722,0.641935,0.381098,0.708333,0.634146,0.633333] area_under_roc_curve 0.674025 [0.628834,0.628049,0.630435,0.58141,0.628834,0.628049,0.890522,0.628049,0.625,0.633758,0.662791,0.628834,0.630435,0.875758,0.371166,0.527329,0.627273,0.375,0.628834,0.521147,0.634615,0.628049,0.801042,0.628049,0.627273] area_under_roc_curve 0.674689 [0.638037,0.637195,0.639752,0.591026,0.638037,0.637195,0.879244,0.637195,0.868902,0.643312,0.657029,0.510802,0.638889,0.363636,0.361963,0.536646,0.636364,0.637195,0.638037,0.52187,0.645161,0.637195,0.878125,0.384146,0.636364] area_under_roc_curve 0.679425 [0.638037,0.384146,0.639752,0.644231,0.638889,0.637195,0.898154,0.637195,0.615854,0.642405,0.674419,0.638037,0.638889,0.868902,0.298569,0.43354,0.637195,0.636364,0.638037,0.52187,0.645161,0.637195,0.705208,0.637195,0.636364] area_under_roc_curve 0.657776 [0.610429,0.609756,0.611801,0.615385,0.610429,0.609091,0.875256,0.609756,0.643293,0.61465,0.639535,0.611111,0.611801,0.390244,0.390244,0.508696,0.609091,0.609756,0.610429,0.50141,0.616129,0.609091,0.733333,0.609756,0.609091] area_under_roc_curve 0.670314 [0.619632,0.618902,0.621118,0.625,0.619632,0.618902,0.863978,0.618902,0.887195,0.624204,0.651163,0.619632,0.621118,0.381818,0.550102,0.378882,0.618182,0.618902,0.619632,0.511278,0.625,0.618902,0.896875,0.618902,0.618182] area_under_roc_curve 0.689658 [0.631902,0.631098,0.530435,0.636943,0.632716,0.378049,0.924584,0.631098,0.621951,0.636943,0.666667,0.631902,0.632716,0.368902,0.631902,0.63354,0.630303,0.378049,0.631902,0.56344,0.637821,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.675435 [0.625767,0.625,0.627329,0.630573,0.626543,0.625,0.894281,0.625,0.628049,0.629747,0.658915,0.456033,0.626543,0.624242,0.456033,0.627329,0.625,0.625,0.626543,0.478853,0.632258,0.624242,0.804167,0.625,0.624242] area_under_roc_curve 0.687741 [0.644172,0.643293,0.645963,0.650641,0.645062,0.643293,0.928458,0.643293,0.609756,0.517405,0.664781,0.474438,0.645062,0.609756,0.695297,0.457143,0.642424,0.643293,0.644172,0.576598,0.651613,0.642424,0.698958,0.643293,0.642424] area_under_roc_curve 0.66054 [0.625767,0.625,0.627329,0.63141,0.626543,0.624242,0.856459,0.625,0.628049,0.630573,0.658915,0.625767,0.626543,0.375758,0.456033,0.318012,0.624242,0.371951,0.625767,0.517857,0.632258,0.625,0.804167,0.625,0.624242] area_under_roc_curve 0.6692 [0.625767,0.625,0.626543,0.63141,0.626543,0.371951,0.87537,0.625,0.881098,0.564082,0.624136,0.625767,0.626543,0.371951,0.374233,0.627329,0.624242,0.625,0.625767,0.595865,0.632258,0.625,0.804167,0.625,0.624242] area_under_roc_curve 0.673944 [0.474438,0.390244,0.645963,0.650641,0.644172,0.643293,0.890636,0.643293,0.609756,0.590941,0.664781,0.474438,0.645062,0.357576,0.609756,0.542857,0.643293,0.643293,0.645062,0.537594,0.650641,0.390244,0.785417,0.643293,0.642424] area_under_roc_curve 0.65239 [0.607362,0.606707,0.608696,0.612179,0.607362,0.606707,0.822283,0.606707,0.646341,0.552725,0.635659,0.607362,0.608696,0.606061,0.392638,0.608696,0.606061,0.606707,0.607362,0.489191,0.612903,0.606707,0.909375,0.606707,0.606061] area_under_roc_curve 0.683711 [0.47137,0.640244,0.642857,0.647436,0.641975,0.640244,0.875484,0.640244,0.865854,0.587757,0.660905,0.641104,0.641975,0.612805,0.52863,0.642857,0.640244,0.387195,0.641104,0.534305,0.647436,0.639394,0.875,0.639394,0.639394] area_under_roc_curve 0.650529 [0.647239,0.646341,0.649068,0.653846,0.648148,0.645455,0.849054,0.646341,0.353659,0.652866,0.651268,0.647239,0.649068,0.393293,0.307771,0.339752,0.645455,0.645455,0.647239,0.423872,0.654839,0.142424,0.782292,0.646341,0.645455] area_under_roc_curve 0.683445 [0.477505,0.646341,0.649068,0.652866,0.647239,0.646341,0.886876,0.393293,0.606707,0.594126,0.686047,0.477505,0.649068,0.606707,0.606707,0.545963,0.645455,0.646341,0.648148,0.50188,0.653846,0.646341,0.86875,0.646341,0.645455] area_under_roc_curve 0.652745 [0.634969,0.634146,0.635802,0.587821,0.635802,0.634146,0.864092,0.634146,0.618902,0.640127,0.635764,0.634969,0.635802,0.365854,0.465235,0.53354,0.633333,0.634146,0.634969,0.449718,0.587821,0.634146,0.708333,0.634146,0.633333] area_under_roc_curve 0.665553 [0.634969,0.634146,0.636646,0.641026,0.635802,0.634146,0.864092,0.634146,0.618902,0.573576,0.670543,0.465235,0.635802,0.130303,0.365031,0.430435,0.633333,0.634146,0.634969,0.488722,0.641935,0.634146,0.88125,0.634146,0.633333] area_under_roc_curve 0.672217 [0.641104,0.640244,0.642857,0.594231,0.641975,0.640244,0.875484,0.640244,0.865854,0.64557,0.660905,0.641104,0.641975,0.134146,0.358896,0.460248,0.639394,0.640244,0.641975,0.525138,0.599707,0.640244,0.875,0.639394,0.639394] area_under_roc_curve 0.668218 [0.628834,0.628049,0.630435,0.634615,0.628834,0.628049,0.8527,0.628049,0.625,0.575018,0.662791,0.4591,0.62963,0.375,0.5409,0.527329,0.627273,0.628049,0.628834,0.521147,0.635484,0.628049,0.8875,0.627273,0.627273] area_under_roc_curve 0.656791 [0.625767,0.371951,0.627329,0.630573,0.626543,0.371951,0.894281,0.625,0.375,0.630573,0.641525,0.625767,0.626543,0.118902,0.374233,0.372671,0.625,0.624242,0.626543,0.556861,0.63141,0.624242,0.804167,0.625,0.624242] area_under_roc_curve 0.667314 [0.628834,0.628049,0.630435,0.633758,0.628834,0.628049,0.871611,0.628049,0.878049,0.633758,0.664062,0.628834,0.62963,0.372727,0.371951,0.472671,0.628049,0.375,0.62963,0.482143,0.58141,0.628049,0.801042,0.628049,0.627273] area_under_roc_curve 0.688149 [0.634969,0.634146,0.636646,0.641026,0.634969,0.633333,0.920825,0.634146,0.869697,0.581387,0.671875,0.465235,0.636646,0.633333,0.704499,0.636646,0.634146,0.634146,0.634969,0.488722,0.641935,0.634146,0.708333,0.633333,0.633333] area_under_roc_curve 0.679538 [0.622699,0.621951,0.624224,0.628205,0.623457,0.621951,0.916951,0.621951,0.631098,0.627389,0.655039,0.452965,0.623457,0.621212,0.377301,0.624224,0.621212,0.621951,0.623457,0.514568,0.628205,0.621212,0.807292,0.621951,0.621212] area_under_roc_curve 0.682507 [0.638037,0.637195,0.639752,0.644231,0.638889,0.637195,0.917065,0.637195,0.362805,0.584572,0.63964,0.468303,0.638889,0.133333,0.468303,0.536646,0.637195,0.636364,0.638037,0.609023,0.645161,0.637195,0.878125,0.636364,0.636364] area_under_roc_curve 0.691082 [0.634969,0.634146,0.636646,0.641026,0.634969,0.634146,0.920825,0.634146,0.871951,0.581387,0.670543,0.634969,0.635802,0.618902,0.365854,0.430435,0.633333,0.381098,0.635802,0.605733,0.641026,0.634146,0.794792,0.634146,0.633333] area_under_roc_curve 0.682621 [0.653374,0.39939,0.654321,0.660256,0.654321,0.652439,0.898268,0.652439,0.60061,0.659236,0.64163,0.653374,0.654321,0.60061,0.653374,0.449068,0.651515,0.39939,0.653374,0.547462,0.660256,0.652439,0.8625,0.39939,0.651515] area_under_roc_curve 0.672215 [0.631902,0.631098,0.63354,0.584615,0.632716,0.631098,0.886762,0.631098,0.621951,0.504747,0.649277,0.631902,0.632716,0.127273,0.462168,0.63354,0.630303,0.378049,0.631902,0.602444,0.63871,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.665864 [0.616564,0.615854,0.618012,0.621795,0.617284,0.615854,0.905559,0.615854,0.637195,0.620253,0.647287,0.616564,0.617284,0.384146,0.383436,0.381988,0.615152,0.615152,0.617284,0.498994,0.622581,0.615854,0.813542,0.615854,0.615152] area_under_roc_curve 0.673541 [0.62963,0.628049,0.630435,0.634615,0.628834,0.628049,0.890522,0.628049,0.625,0.633758,0.645401,0.628834,0.62963,0.371951,0.371951,0.527329,0.627273,0.375,0.628834,0.521147,0.635484,0.627273,0.8875,0.628049,0.627273] area_under_roc_curve 0.692797 [0.631902,0.631098,0.530435,0.637821,0.632716,0.631098,0.924584,0.631098,0.621951,0.636943,0.666667,0.631902,0.632716,0.631098,0.631098,0.427329,0.631098,0.630303,0.632716,0.56344,0.637821,0.630303,0.884375,0.631098,0.630303] area_under_roc_curve 0.666276 [0.647239,0.646341,0.649068,0.653846,0.648148,0.646341,0.867965,0.393293,0.606707,0.652866,0.616489,0.647239,0.648148,0.354545,0.606707,0.557143,0.646341,0.646341,0.647239,0.448215,0.654839,0.646341,0.782292,0.646341,0.645455] area_under_roc_curve 0.665773 [0.644172,0.643293,0.542857,0.649682,0.645062,0.642424,0.871725,0.643293,0.609756,0.649682,0.647392,0.644172,0.516975,0.139394,0.304703,0.23354,0.643293,0.643293,0.644172,0.615602,0.651613,0.643293,0.785417,0.643293,0.642424] area_under_roc_curve 0.661795 [0.616564,0.615854,0.514907,0.621795,0.617284,0.615152,0.848827,0.615854,0.637195,0.562279,0.647287,0.616564,0.617284,0.112121,0.383436,0.514907,0.615152,0.615854,0.617284,0.585996,0.621795,0.615854,0.9,0.615854,0.615152] area_under_roc_curve 0.681162 [0.647239,0.646341,0.649068,0.653846,0.648148,0.646341,0.867965,0.393293,0.859756,0.586234,0.651268,0.647239,0.520062,0.354545,0.692229,0.649068,0.646341,0.646341,0.647239,0.50188,0.653846,0.646341,0.86875,0.646341,0.645455] area_under_roc_curve 0.668804 [0.622699,0.621951,0.624224,0.628205,0.623457,0.621951,0.898041,0.621951,0.378049,0.627389,0.65625,0.622699,0.623457,0.378049,0.368902,0.314907,0.621212,0.368902,0.622699,0.588989,0.628205,0.621951,0.807292,0.621951,0.621212] area_under_roc_curve 0.664322 [0.641104,0.640244,0.642857,0.647436,0.641975,0.387195,0.875484,0.640244,0.612805,0.646497,0.643516,0.641104,0.641975,0.136364,0.301636,0.460248,0.639394,0.640244,0.641104,0.495301,0.647436,0.640244,0.788542,0.640244,0.639394] area_under_roc_curve 0.671555 [0.50463,0.631098,0.63354,0.637821,0.631902,0.631098,0.886762,0.631098,0.621951,0.636943,0.666667,0.631902,0.50463,0.369697,0.292434,0.324224,0.630303,0.631098,0.631902,0.602444,0.637821,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.676512 [0.622699,0.621951,0.624224,0.628205,0.622699,0.621951,0.898041,0.621951,0.631098,0.568648,0.65625,0.623457,0.623457,0.378049,0.547035,0.418012,0.621212,0.621212,0.622699,0.588989,0.628205,0.621951,0.807292,0.621951,0.621212] area_under_roc_curve 0.688475 [0.644172,0.390244,0.645963,0.650641,0.644172,0.643293,0.947368,0.643293,0.356707,0.590941,0.682171,0.516975,0.645062,0.356707,0.390244,0.457143,0.642424,0.643293,0.644172,0.576598,0.602933,0.642424,0.871875,0.643293,0.642424] area_under_roc_curve 0.670512 [0.638037,0.637195,0.639752,0.537821,0.638889,0.637195,0.898154,0.637195,0.615854,0.643312,0.657029,0.638037,0.638889,0.363636,0.362805,0.536646,0.637195,0.384146,0.638037,0.492011,0.644231,0.637195,0.791667,0.637195,0.636364] area_under_roc_curve 0.671094 [0.628834,0.628049,0.62963,0.58141,0.62963,0.628049,0.890522,0.628049,0.371951,0.516277,0.662791,0.628834,0.62963,0.625,0.628834,0.321118,0.627273,0.628049,0.628834,0.595525,0.635484,0.628049,0.801042,0.628049,0.627273] area_under_roc_curve 0.672842 [0.638037,0.637195,0.639752,0.644231,0.638889,0.636364,0.898154,0.637195,0.868902,0.584572,0.674419,0.638037,0.638889,0.384146,0.362805,0.536646,0.637195,0.384146,0.638037,0.453008,0.644231,0.637195,0.705208,0.637195,0.636364] area_under_roc_curve 0.667729 [0.628834,0.628049,0.630435,0.58141,0.62963,0.627273,0.871611,0.628049,0.625,0.633758,0.645401,0.62963,0.62963,0.627273,0.5409,0.527329,0.627273,0.628049,0.628834,0.482143,0.634615,0.628049,0.801042,0.628049,0.627273] area_under_roc_curve 0.698696 [0.480573,0.64939,0.652174,0.657051,0.651235,0.64939,0.93985,0.64939,0.856707,0.589399,0.672533,0.650307,0.651235,0.854545,0.519427,0.450932,0.64939,0.64939,0.650307,0.544173,0.657051,0.64939,0.779167,0.64939,0.648485] area_under_roc_curve 0.652661 [0.647239,0.646341,0.520062,0.653846,0.648148,0.393293,0.849054,0.646341,0.606707,0.594126,0.616489,0.647239,0.520062,0.606707,0.352761,0.442857,0.645455,0.646341,0.647239,0.531674,0.654839,0.646341,0.782292,0.646341,0.645455] area_under_roc_curve 0.679543 [0.617284,0.616564,0.61875,0.622581,0.617284,0.615854,0.829545,0.616564,0.889571,0.621019,0.649606,0.617284,0.61875,0.887195,0.722222,0.515625,0.615854,0.615854,0.617284,0.586802,0.623377,0.616564,0.899371,0.616564,0.615854] area_under_roc_curve 0.677394 [0.645062,0.644172,0.646875,0.598387,0.645062,0.644172,0.92803,0.644172,0.608896,0.650641,0.648754,0.645062,0.645963,0.608896,0.354938,0.54375,0.643293,0.643293,0.645062,0.460501,0.651613,0.644172,0.698113,0.644172,0.643293] area_under_roc_curve 0.685293 [0.641975,0.388037,0.64375,0.648387,0.641975,0.640244,0.931818,0.641104,0.611963,0.647436,0.627428,0.641975,0.64375,0.640244,0.641975,0.459375,0.640244,0.388037,0.641975,0.574267,0.648387,0.641104,0.787736,0.641104,0.640244] area_under_roc_curve 0.69847 [0.496914,0.665644,0.66875,0.674194,0.667702,0.665644,0.901515,0.665644,0.840491,0.673077,0.710938,0.666667,0.66875,0.159509,0.840491,0.25625,0.664634,0.664634,0.666667,0.468877,0.674194,0.665644,0.849057,0.665644,0.664634] area_under_roc_curve 0.66341 [0.62037,0.619632,0.621875,0.625806,0.621118,0.619632,0.844697,0.619632,0.633436,0.625,0.652344,0.62037,0.621118,0.381098,0.366564,0.51875,0.618902,0.619632,0.62037,0.473037,0.625806,0.619632,0.896226,0.619632,0.618902] area_under_roc_curve 0.668883 [0.614198,0.613497,0.614907,0.619355,0.614907,0.613497,0.890152,0.613497,0.639571,0.61859,0.627111,0.614198,0.614907,0.613497,0.274691,0.615625,0.612805,0.613497,0.614198,0.57996,0.62013,0.612805,0.72956,0.613497,0.612805] area_under_roc_curve 0.679086 [0.62963,0.628834,0.63125,0.635484,0.630435,0.628834,0.909091,0.375767,0.624233,0.634615,0.629223,0.62963,0.630435,0.371166,0.371166,0.471875,0.628049,0.628834,0.62963,0.600047,0.635484,0.628049,0.886792,0.628834,0.628049] area_under_roc_curve 0.675316 [0.642857,0.641104,0.64375,0.648387,0.642857,0.640244,0.893939,0.641104,0.862805,0.588675,0.679688,0.641975,0.642857,0.359756,0.641104,0.4375,0.640244,0.641104,0.641975,0.418165,0.600649,0.641104,0.787736,0.641104,0.640244] area_under_roc_curve 0.668208 [0.626543,0.625767,0.628125,0.632258,0.627329,0.625767,0.875,0.625767,0.627301,0.564889,0.660156,0.626543,0.627329,0.375,0.45679,0.421875,0.625,0.372699,0.626543,0.557711,0.632258,0.625767,0.803459,0.625767,0.625] area_under_roc_curve 0.662353 [0.617284,0.616564,0.618012,0.622581,0.618012,0.616564,0.848485,0.616564,0.363497,0.621019,0.648438,0.618012,0.618012,0.383436,0.722222,0.4125,0.615854,0.616564,0.617284,0.541498,0.623377,0.616564,0.812893,0.615854,0.615854] area_under_roc_curve 0.670314 [0.62963,0.628834,0.63125,0.635484,0.62963,0.628049,0.890152,0.628834,0.122699,0.568073,0.664062,0.62963,0.63125,0.371951,0.37037,0.575,0.628049,0.628049,0.630435,0.521996,0.636364,0.628834,0.800314,0.628834,0.628049] area_under_roc_curve 0.676263 [0.617284,0.616564,0.61875,0.622581,0.617284,0.616564,0.886364,0.616564,0.636503,0.621795,0.648438,0.617284,0.618012,0.363497,0.382716,0.61875,0.615854,0.615854,0.617284,0.547777,0.622581,0.616564,0.899371,0.616564,0.615854] area_under_roc_curve 0.663626 [0.623457,0.622699,0.625,0.629032,0.623457,0.621951,0.840909,0.622699,0.630368,0.628205,0.65625,0.623457,0.625,0.118902,0.453704,0.41875,0.621951,0.622699,0.623457,0.515374,0.629032,0.622699,0.893082,0.622699,0.621951] area_under_roc_curve 0.646045 [0.611111,0.610429,0.611801,0.616129,0.611801,0.610429,0.856061,0.610429,0.390244,0.61465,0.605785,0.611111,0.6125,0.357362,0.388889,0.3875,0.610429,0.609756,0.611801,0.534919,0.616129,0.610429,0.819182,0.610429,0.609756] area_under_roc_curve 0.670505 [0.638889,0.638037,0.640625,0.645161,0.638889,0.637195,0.897727,0.638037,0.868098,0.526709,0.658361,0.511646,0.639752,0.134146,0.638889,0.434375,0.637195,0.638037,0.638889,0.564524,0.646104,0.638037,0.617925,0.384969,0.637195] area_under_roc_curve 0.692389 [0.62037,0.619632,0.621875,0.625806,0.621118,0.618902,0.901515,0.619632,0.886503,0.624204,0.652344,0.621118,0.621118,0.366564,0.62037,0.621875,0.618902,0.618902,0.62037,0.590114,0.626623,0.618902,0.896226,0.619632,0.618902] area_under_roc_curve 0.67183 [0.62963,0.628834,0.63125,0.635484,0.630435,0.628834,0.871212,0.628834,0.371166,0.517094,0.646643,0.62963,0.630435,0.624233,0.624233,0.471875,0.628049,0.628834,0.62963,0.561022,0.635484,0.628049,0.886792,0.628834,0.628049] area_under_roc_curve 0.682086 [0.638889,0.638037,0.640625,0.645161,0.638889,0.638037,0.916667,0.638037,0.361963,0.467949,0.658361,0.638889,0.511646,0.362805,0.384969,0.640625,0.637195,0.638037,0.638889,0.570956,0.646104,0.638037,0.877358,0.638037,0.637195] area_under_roc_curve 0.67706 [0.635802,0.634969,0.6375,0.641026,0.636646,0.381902,0.863636,0.634969,0.871166,0.641026,0.671875,0.635802,0.636646,0.365854,0.533951,0.534375,0.634146,0.381902,0.635802,0.489593,0.641935,0.634969,0.880503,0.634969,0.634146] area_under_roc_curve 0.689751 [0.635802,0.634969,0.6375,0.58871,0.636646,0.131098,0.901515,0.634969,0.618098,0.640127,0.671875,0.635802,0.636646,0.868902,0.635802,0.534375,0.634969,0.634969,0.635802,0.528619,0.642857,0.634146,0.880503,0.634969,0.634146] area_under_roc_curve 0.677868 [0.475309,0.644172,0.646875,0.598387,0.645062,0.643293,0.909091,0.391104,0.608896,0.649682,0.666174,0.645963,0.645963,0.643293,0.475309,0.353125,0.643293,0.644172,0.645963,0.499527,0.652597,0.643293,0.871069,0.644172,0.643293] area_under_roc_curve 0.692751 [0.632716,0.631902,0.634375,0.63871,0.63354,0.128049,0.943182,0.631902,0.621166,0.57906,0.667969,0.632716,0.63354,0.368098,0.537037,0.634375,0.631098,0.631902,0.632716,0.599696,0.63871,0.631902,0.79717,0.378834,0.631098] area_under_roc_curve 0.676199 [0.624224,0.622699,0.624224,0.629032,0.624224,0.118902,0.897727,0.622699,0.630368,0.628205,0.63883,0.623457,0.624224,0.378049,0.622699,0.521875,0.622699,0.622699,0.623457,0.593425,0.629032,0.622699,0.806604,0.369632,0.621951] area_under_roc_curve 0.686337 [0.635802,0.634969,0.636646,0.641026,0.636646,0.381902,0.901515,0.634969,0.871166,0.574443,0.656133,0.635802,0.636646,0.131098,0.364198,0.534375,0.634969,0.634969,0.636646,0.602986,0.641935,0.634969,0.880503,0.634969,0.634146] area_under_roc_curve 0.682805 [0.524068,0.650307,0.653125,0.658065,0.651235,0.64939,0.901515,0.650307,0.602761,0.598291,0.691406,0.651235,0.652174,0.35061,0.311728,0.446875,0.64939,0.397239,0.651235,0.49418,0.659091,0.650307,0.86478,0.650307,0.64939] area_under_roc_curve 0.670551 [0.623457,0.622699,0.625,0.629032,0.624224,0.621951,0.859848,0.622699,0.630368,0.627389,0.65625,0.623457,0.496118,0.369632,0.453704,0.625,0.621951,0.621951,0.623457,0.515374,0.62987,0.622699,0.893082,0.622699,0.621951] area_under_roc_curve 0.677883 [0.459877,0.628834,0.630435,0.635484,0.630435,0.628834,0.909091,0.628834,0.624233,0.633758,0.646643,0.62963,0.630435,0.624233,0.540123,0.36875,0.628049,0.628049,0.630435,0.561022,0.635484,0.628834,0.800314,0.628834,0.628049] area_under_roc_curve 0.682977 [0.632716,0.631902,0.634375,0.637821,0.632716,0.631902,0.886364,0.631902,0.621166,0.57906,0.667969,0.632716,0.63354,0.621166,0.378834,0.53125,0.631098,0.378834,0.632716,0.564333,0.63961,0.631902,0.883648,0.631902,0.631098] area_under_roc_curve 0.663965 [0.62037,0.619632,0.493012,0.625806,0.621118,0.619632,0.863636,0.619632,0.884146,0.625,0.600084,0.62037,0.621118,0.619632,0.62037,0.378125,0.618902,0.619632,0.62037,0.586538,0.626623,0.619632,0.896226,0.619632,0.618902] area_under_roc_curve 0.671772 [0.62037,0.619632,0.621875,0.572581,0.621118,0.618902,0.920455,0.619632,0.633436,0.624204,0.652344,0.450617,0.621118,0.884146,0.280864,0.378125,0.619632,0.619632,0.62037,0.629139,0.626623,0.618902,0.636792,0.619632,0.618902] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.263 [0,0,0,0,0,0,0.810811,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259772 [0,0,0,0,0,0,0.763158,0,0,0,0.47205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246782 [0,0,0,0,0,0,0.736842,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249393 [0,0,0,0,0,0,0.74359,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.267435 [0,0,0,0,0,0,0.794872,0,0,0,0.477987,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260031 [0,0,0,0,0,0,0.789474,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260031 [0,0,0,0,0,0,0.789474,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.265104 [0,0,0,0,0,0,0.795181,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.269476 [0,0,0,0,0,0,0.821918,0,0,0,0.463415,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258641 [0,0,0,0,0,0,0.779221,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249393 [0,0,0,0,0,0,0.74359,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252214 [0,0,0,0,0,0,0.74359,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254518 [0,0,0,0,0,0,0.756098,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246751 [0,0,0,0,0,0,0.756757,0,0,0,0.432099,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.250881 [0,0,0,0,0,0,0.746667,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253478 [0,0,0,0,0,0,0.753247,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.231881 [0,0,0,0,0,0,0.684932,0,0,0,0.429448,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261892 [0,0,0,0,0,0,0.823529,0,0,0,0.440476,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252254 [0,0,0,0,0,0,0.756757,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260248 [0,0,0,0,0,0,0.810811,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257312 [0,0,0,0,0,0,0.769231,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246881 [0,0,0,0,0,0,0.72973,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258234 [0,0,0,0,0,0,0.78481,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.263 [0,0,0,0,0,0,0.810811,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253034 [0,0,0,0,0,0,0.779221,0,0,0,0.440252,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256182 [0,0,0,0,0,0,0.773333,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249393 [0,0,0,0,0,0,0.74359,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257312 [0,0,0,0,0,0,0.769231,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254345 [0,0,0,0,0,0,0.782609,0,0,0,0.443114,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249669 [0,0,0,0,0,0,0.75,0,0,0,0.45122,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.265262 [0,0,0,0,0,0,0.815789,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257627 [0,0,0,0,0,0,0.783784,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261909 [0,0,0,0,0,0,0.8,0,0,0,0.461538,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246881 [0,0,0,0,0,0,0.72973,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246751 [0,0,0,0,0,0,0.756757,0,0,0,0.432099,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.251969 [0,0,0,0,0,0,0.75,0,0,0,0.461538,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.238504 [0,0,0,0,0,0,0.705882,0,0,0,0.440476,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248169 [0,0,0,0,0,0,0.734177,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.238099 [0,0,0,0,0,0,0.691358,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253668 [0,0,0,0,0,0,0.740741,0,0,0,0.477419,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242707 [0,0,0,0,0,0,0.727273,0,0,0,0.440252,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248314 [0,0,0,0,0,0,0.727273,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248169 [0,0,0,0,0,0,0.734177,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.24558 [0,0,0,0,0,0,0.72,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254875 [0,0,0,0,0,0,0.783784,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255826 [0,0,0,0,0,0,0.746667,0,0,0,0.469136,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.268804 [0,0,0,0,0,0,0.805195,0,0,0,0.475,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.264583 [0,0,0,0,0,0,0.821918,0,0,0,0.453988,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256766 [0,0,0,0,0,0,0.794872,0,0,0,0.443038,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.263805 [0,0,0,0,0,0,0.805195,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247561 [0,0,0,0,0,0,0.746988,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252013 [0,0,0,0,0,0,0.763158,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26236 [0,0,0,0,0,0,0.816901,0,0,0,0.448485,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253413 [0,0,0,0,0,0,0.773333,0,0,0,0.447205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.265262 [0,0,0,0,0,0,0.815789,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.237256 [0,0,0,0,0,0,0.716049,0,0,0,0.425806,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.244142 [0,0,0,0,0,0,0.725,0,0,0,0.448718,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.24556 [0,0,0,0,0,0,0.732394,0,0,0,0.448485,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.243008 [0,0,0,0,0,0,0.716049,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26403 [0,0,0,0,0,0,0.794521,0,0,0,0.463415,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.245329 [0,0,0,0,0,0,0.734177,0,0,0,0.44586,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254799 [0,0,0,0,0,0,0.763158,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26403 [0,0,0,0,0,0,0.794521,0,0,0,0.463415,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.269737 [0,0,0,0,0,0,0.825,0,0,0,0.474359,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.25449 [0,0,0,0,0,0,0.769231,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256182 [0,0,0,0,0,0,0.773333,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257312 [0,0,0,0,0,0,0.769231,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248112 [0,0,0,0,0,0,0.746667,0,0,0,0.447205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.264215 [0,0,0,0,0,0,0.804878,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.232347 [0,0,0,0,0,0,0.691358,0,0,0,0.425806,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246924 [0,0,0,0,0,0,0.704225,0,0,0,0.460606,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261271 [0,0,0,0,0,0,0.8,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259772 [0,0,0,0,0,0,0.810127,0,0,0,0.435897,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259248 [0,0,0,0,0,0,0.735632,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246248 [0,0,0,0,0,0,0.722222,0,0,0,0.453988,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257851 [0,0,0,0,0,0,0.8,0,0,0,0.436364,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258106 [0,0,0,0,0,0,0.8,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.25827 [0,0,0,0,0,0,0.759494,0,0,0,0.474359,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254419 [0,0,0,0,0,0,0.756757,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247661 [0,0,0,0,0,0,0.732394,0,0,0,0.45122,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258379 [0,0,0,0,0,0,0.773333,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258929 [0,0,0,0,0,0,0.788732,0,0,0,0.45122,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.244897 [0,0,0,0,0,0,0.712329,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.245285 [0,0,0,0,0,0,0.753623,0,0,0,0.421687,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256683 [0,0,0,0,0,0,0.769231,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.262914 [0,0,0,0,0,0,0.805556,0,0,0,0.453988,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.250242 [0,0,0,0,0,0,0.746667,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261812 [0,0,0,0,0,0,0.794872,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.250479 [0,0,0,0,0,0,0.727273,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260869 [0,0,0,0,0,0,0.779221,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259164 [0,0,0,0,0,0,0.775,0,0,0,0.464516,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.272785 [0,0,0,0,0,0,0.842105,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258567 [0,0,0,0,0,0,0.794521,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.263029 [0,0,0,0,0,0,0.779221,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259677 [0,0,0,0,0,0,0.756098,0,0,0,0.48366,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.250377 [0,0,0,0,0,0,0.739726,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260909 [0,0,0,0,0,0,0.8,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256996 [0,0,0,0,0,0,0.763158,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.243549 [0,0,0,0,0,0,0.75,0,0,0,0.417178,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26847 [0,0,0,0,0,0,0.833333,0,0,0,0.453988,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.238391 kappa 0.23431 kappa 0.215603 kappa 0.223581 kappa 0.250128 kappa 0.238673 kappa 0.238673 kappa 0.251 kappa 0.241514 kappa 0.238814 kappa 0.223581 kappa 0.231268 kappa 0.239519 kappa 0.207619 kappa 0.223149 kappa 0.231126 kappa 0.184389 kappa 0.22214 kappa 0.223005 kappa 0.230698 kappa 0.238955 kappa 0.215312 kappa 0.239096 kappa 0.238391 kappa 0.223437 kappa 0.230841 kappa 0.223581 kappa 0.238955 kappa 0.214584 kappa 0.215021 kappa 0.246363 kappa 0.230698 kappa 0.246922 kappa 0.215312 kappa 0.207619 kappa 0.231553 kappa 0.191333 kappa 0.223724 kappa 0.208646 kappa 0.239378 kappa 0.208059 kappa 0.223437 kappa 0.223724 kappa 0.215457 kappa 0.223005 kappa 0.226396 kappa 0.249953 kappa 0.23825 kappa 0.231268 kappa 0.246503 kappa 0.224299 kappa 0.223293 kappa 0.23027 kappa 0.223149 kappa 0.246363 kappa 0.200963 kappa 0.216184 kappa 0.207178 kappa 0.216329 kappa 0.233775 kappa 0.216039 kappa 0.230983 kappa 0.233775 kappa 0.262291 kappa 0.231268 kappa 0.230841 kappa 0.238955 kappa 0.215457 kappa 0.254882 kappa 0.19328 kappa 0.204067 kappa 0.24113 kappa 0.233243 kappa 0.257593 kappa 0.208968 kappa 0.216428 kappa 0.224915 kappa 0.240988 kappa 0.22477 kappa 0.208819 kappa 0.232666 kappa 0.224332 kappa 0.209117 kappa 0.193002 kappa 0.233099 kappa 0.232234 kappa 0.217165 kappa 0.240845 kappa 0.225207 kappa 0.240702 kappa 0.24113 kappa 0.256059 kappa 0.224624 kappa 0.236364 kappa 0.249156 kappa 0.21687 kappa 0.232666 kappa 0.23281 kappa 0.193457 kappa 0.239989 kb_relative_information_score 27.633034 kb_relative_information_score 27.485179 kb_relative_information_score 27.061365 kb_relative_information_score 25.857563 kb_relative_information_score 28.723542 kb_relative_information_score 28.485645 kb_relative_information_score 27.412063 kb_relative_information_score 30.005725 kb_relative_information_score 29.334661 kb_relative_information_score 27.566353 kb_relative_information_score 26.69737 kb_relative_information_score 26.478404 kb_relative_information_score 28.63104 kb_relative_information_score 26.281354 kb_relative_information_score 26.207165 kb_relative_information_score 27.49623 kb_relative_information_score 24.955563 kb_relative_information_score 25.029005 kb_relative_information_score 26.931726 kb_relative_information_score 27.497931 kb_relative_information_score 27.72607 kb_relative_information_score 26.504413 kb_relative_information_score 27.409539 kb_relative_information_score 28.439234 kb_relative_information_score 26.956592 kb_relative_information_score 27.287127 kb_relative_information_score 27.589542 kb_relative_information_score 27.613205 kb_relative_information_score 26.496366 kb_relative_information_score 26.805133 kb_relative_information_score 27.744181 kb_relative_information_score 27.710541 kb_relative_information_score 27.844097 kb_relative_information_score 27.241119 kb_relative_information_score 26.562165 kb_relative_information_score 27.383483 kb_relative_information_score 24.735788 kb_relative_information_score 27.095408 kb_relative_information_score 25.166888 kb_relative_information_score 27.999637 kb_relative_information_score 24.540726 kb_relative_information_score 26.66017 kb_relative_information_score 27.066716 kb_relative_information_score 27.821554 kb_relative_information_score 26.670169 kb_relative_information_score 26.30935 kb_relative_information_score 28.381836 kb_relative_information_score 28.83779 kb_relative_information_score 28.138783 kb_relative_information_score 27.42243 kb_relative_information_score 26.776899 kb_relative_information_score 26.227566 kb_relative_information_score 26.870028 kb_relative_information_score 27.039598 kb_relative_information_score 28.226997 kb_relative_information_score 26.308272 kb_relative_information_score 26.097866 kb_relative_information_score 25.888041 kb_relative_information_score 26.145027 kb_relative_information_score 27.413705 kb_relative_information_score 25.659321 kb_relative_information_score 26.63071 kb_relative_information_score 26.747304 kb_relative_information_score 28.501694 kb_relative_information_score 27.230329 kb_relative_information_score 26.767199 kb_relative_information_score 27.181947 kb_relative_information_score 26.396457 kb_relative_information_score 28.370547 kb_relative_information_score 25.267354 kb_relative_information_score 26.628957 kb_relative_information_score 27.656698 kb_relative_information_score 27.895972 kb_relative_information_score 29.267787 kb_relative_information_score 25.588213 kb_relative_information_score 26.877905 kb_relative_information_score 26.793354 kb_relative_information_score 27.441002 kb_relative_information_score 26.406831 kb_relative_information_score 26.448192 kb_relative_information_score 26.275246 kb_relative_information_score 27.432372 kb_relative_information_score 26.656465 kb_relative_information_score 24.487742 kb_relative_information_score 26.256752 kb_relative_information_score 28.268949 kb_relative_information_score 26.292591 kb_relative_information_score 28.43415 kb_relative_information_score 27.656027 kb_relative_information_score 28.00119 kb_relative_information_score 27.311904 kb_relative_information_score 27.746336 kb_relative_information_score 26.838796 kb_relative_information_score 27.517582 kb_relative_information_score 28.117783 kb_relative_information_score 27.42289 kb_relative_information_score 27.577612 kb_relative_information_score 27.901882 kb_relative_information_score 27.029467 kb_relative_information_score 26.026483 mean_absolute_error 0.062088 mean_absolute_error 0.062341 mean_absolute_error 0.062528 mean_absolute_error 0.063006 mean_absolute_error 0.06163 mean_absolute_error 0.06198 mean_absolute_error 0.062154 mean_absolute_error 0.0613 mean_absolute_error 0.061778 mean_absolute_error 0.06221 mean_absolute_error 0.062591 mean_absolute_error 0.062698 mean_absolute_error 0.06169 mean_absolute_error 0.06299 mean_absolute_error 0.062939 mean_absolute_error 0.062192 mean_absolute_error 0.063734 mean_absolute_error 0.063249 mean_absolute_error 0.062492 mean_absolute_error 0.061769 mean_absolute_error 0.062204 mean_absolute_error 0.062768 mean_absolute_error 0.062391 mean_absolute_error 0.061727 mean_absolute_error 0.06225 mean_absolute_error 0.062411 mean_absolute_error 0.062579 mean_absolute_error 0.062047 mean_absolute_error 0.062435 mean_absolute_error 0.063082 mean_absolute_error 0.062098 mean_absolute_error 0.062026 mean_absolute_error 0.06171 mean_absolute_error 0.061989 mean_absolute_error 0.062993 mean_absolute_error 0.06216 mean_absolute_error 0.063702 mean_absolute_error 0.063109 mean_absolute_error 0.063554 mean_absolute_error 0.062021 mean_absolute_error 0.063863 mean_absolute_error 0.062628 mean_absolute_error 0.062637 mean_absolute_error 0.06212 mean_absolute_error 0.062765 mean_absolute_error 0.062811 mean_absolute_error 0.061196 mean_absolute_error 0.061071 mean_absolute_error 0.062128 mean_absolute_error 0.062213 mean_absolute_error 0.062975 mean_absolute_error 0.062605 mean_absolute_error 0.062718 mean_absolute_error 0.062839 mean_absolute_error 0.061959 mean_absolute_error 0.063289 mean_absolute_error 0.063134 mean_absolute_error 0.06331 mean_absolute_error 0.06343 mean_absolute_error 0.061989 mean_absolute_error 0.063405 mean_absolute_error 0.062293 mean_absolute_error 0.062845 mean_absolute_error 0.061855 mean_absolute_error 0.062247 mean_absolute_error 0.06248 mean_absolute_error 0.062261 mean_absolute_error 0.0629 mean_absolute_error 0.061844 mean_absolute_error 0.063503 mean_absolute_error 0.063023 mean_absolute_error 0.06151 mean_absolute_error 0.061979 mean_absolute_error 0.061074 mean_absolute_error 0.063314 mean_absolute_error 0.062015 mean_absolute_error 0.062897 mean_absolute_error 0.062266 mean_absolute_error 0.062628 mean_absolute_error 0.06246 mean_absolute_error 0.063017 mean_absolute_error 0.061848 mean_absolute_error 0.062735 mean_absolute_error 0.06381 mean_absolute_error 0.062209 mean_absolute_error 0.061655 mean_absolute_error 0.063274 mean_absolute_error 0.061592 mean_absolute_error 0.062338 mean_absolute_error 0.06186 mean_absolute_error 0.062402 mean_absolute_error 0.062129 mean_absolute_error 0.062459 mean_absolute_error 0.06235 mean_absolute_error 0.061859 mean_absolute_error 0.06214 mean_absolute_error 0.062267 mean_absolute_error 0.062003 mean_absolute_error 0.062601 mean_absolute_error 0.062398 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 0.211436 [0,0,0,0,0,0,0.731707,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204793 [0,0,0,0,0,0,0.674419,0,0,0,0.308943,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194685 [0,0,0,0,0,0,0.651163,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194427 [0,0,0,0,0,0,0.644444,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208839 [0,0,0,0,0,0,0.688889,0,0,0,0.31405,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205743 [0,0,0,0,0,0,0.697674,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205743 [0,0,0,0,0,0,0.697674,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202248 [0,0,0,0,0,0,0.66,0,0,0,0.310345,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.218134 [0,0,0,0,0,0,0.75,0,0,0,0.301587,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20314 [0,0,0,0,0,0,0.681818,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194427 [0,0,0,0,0,0,0.644444,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196269 [0,0,0,0,0,0,0.644444,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19435 [0,0,0,0,0,0,0.632653,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198172 [0,0,0,0,0,0,0.682927,0,0,0,0.28,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199038 [0,0,0,0,0,0,0.666667,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198622 [0,0,0,0,0,0,0.659091,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.186161 [0,0,0,0,0,0,0.625,0,0,0,0.277778,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.22199 [0,0,0,0,0,0,0.8,0,0,0,0.282443,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201738 [0,0,0,0,0,0,0.682927,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209653 [0,0,0,0,0,0,0.731707,0,0,0,0.288,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200687 [0,0,0,0,0,0,0.666667,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19689 [0,0,0,0,0,0,0.658537,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200838 [0,0,0,0,0,0,0.673913,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.211436 [0,0,0,0,0,0,0.731707,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199486 [0,0,0,0,0,0,0.681818,0,0,0,0.286885,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203771 [0,0,0,0,0,0,0.690476,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194427 [0,0,0,0,0,0,0.644444,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200687 [0,0,0,0,0,0,0.666667,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.212535 [0,0,0,0,0,0,0.75,0,0,0,0.284615,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202564 [0,0,0,0,0,0,0.692308,0,0,0,0.291339,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210366 [0,0,0,0,0,0,0.72093,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206587 [0,0,0,0,0,0,0.707317,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202779 [0,0,0,0,0,0,0.680851,0,0,0,0.302521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19689 [0,0,0,0,0,0,0.658537,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198172 [0,0,0,0,0,0,0.682927,0,0,0,0.28,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19432 [0,0,0,0,0,0,0.638298,0,0,0,0.302521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199271 [0,0,0,0,0,0,0.685714,0,0,0,0.282443,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192195 [0,0,0,0,0,0,0.630435,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.182076 [0,0,0,0,0,0,0.583333,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194137 [0,0,0,0,0,0,0.625,0,0,0,0.313559,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19045 [0,0,0,0,0,0,0.636364,0,0,0,0.286885,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194104 [0,0,0,0,0,0,0.636364,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192195 [0,0,0,0,0,0,0.630435,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194305 [0,0,0,0,0,0,0.642857,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204804 [0,0,0,0,0,0,0.707317,0,0,0,0.288,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202682 [0,0,0,0,0,0,0.666667,0,0,0,0.306452,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.211362 [0,0,0,0,0,0,0.704545,0,0,0,0.311475,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.214549 [0,0,0,0,0,0,0.75,0,0,0,0.293651,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201421 [0,0,0,0,0,0,0.688889,0,0,0,0.289256,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.207659 [0,0,0,0,0,0,0.704545,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188583 [0,0,0,0,0,0,0.62,0,0,0,0.293103,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199308 [0,0,0,0,0,0,0.674419,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216142 [0,0,0,0,0,0,0.763158,0,0,0,0.289062,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201974 [0,0,0,0,0,0,0.690476,0,0,0,0.290323,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210366 [0,0,0,0,0,0,0.72093,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.18244 [0,0,0,0,0,0,0.604167,0,0,0,0.279661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188217 [0,0,0,0,0,0,0.617021,0,0,0,0.294118,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200447 [0,0,0,0,0,0,0.684211,0,0,0,0.289062,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.186217 [0,0,0,0,0,0,0.604167,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213165 [0,0,0,0,0,0,0.725,0,0,0,0.301587,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.190337 [0,0,0,0,0,0,0.630435,0,0,0,0.291667,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20112 [0,0,0,0,0,0,0.674419,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213165 [0,0,0,0,0,0,0.725,0,0,0,0.301587,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208882 [0,0,0,0,0,0,0.702128,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198845 [0,0,0,0,0,0,0.666667,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203771 [0,0,0,0,0,0,0.690476,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200687 [0,0,0,0,0,0,0.666667,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.197241 [0,0,0,0,0,0,0.666667,0,0,0,0.290323,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202464 [0,0,0,0,0,0,0.673469,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.178298 [0,0,0,0,0,0,0.583333,0,0,0,0.279661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200489 [0,0,0,0,0,0,0.657895,0,0,0,0.299213,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202683 [0,0,0,0,0,0,0.680851,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.2032 [0,0,0,0,0,0,0.695652,0,0,0,0.285714,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.193266 [0,0,0,0,0,0,0.592593,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199182 [0,0,0,0,0,0,0.666667,0,0,0,0.293651,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.21442 [0,0,0,0,0,0,0.756757,0,0,0,0.28125,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206666 [0,0,0,0,0,0,0.714286,0,0,0,0.284553,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200157 [0,0,0,0,0,0,0.652174,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203496 [0,0,0,0,0,0,0.682927,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202173 [0,0,0,0,0,0,0.684211,0,0,0,0.291339,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20555 [0,0,0,0,0,0,0.690476,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.212699 [0,0,0,0,0,0,0.736842,0,0,0,0.291339,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196376 [0,0,0,0,0,0,0.65,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205285 [0,0,0,0,0,0,0.722222,0,0,0,0.271318,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200606 [0,0,0,0,0,0,0.666667,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.214567 [0,0,0,0,0,0,0.74359,0,0,0,0.293651,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198965 [0,0,0,0,0,0,0.666667,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205051 [0,0,0,0,0,0,0.688889,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.195843 [0,0,0,0,0,0,0.636364,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204934 [0,0,0,0,0,0,0.681818,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200328 [0,0,0,0,0,0,0.659574,0,0,0,0.305085,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216845 [0,0,0,0,0,0,0.744186,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209582 [0,0,0,0,0,0,0.725,0,0,0,0.288,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206787 [0,0,0,0,0,0,0.681818,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198056 [0,0,0,0,0,0,0.632653,0,0,0,0.318966,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201376 [0,0,0,0,0,0,0.675,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208489 [0,0,0,0,0,0,0.714286,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202892 [0,0,0,0,0,0,0.674419,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198971 [0,0,0,0,0,0,0.692308,0,0,0,0.269841,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.219695 [0,0,0,0,0,0,0.769231,0,0,0,0.293651,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.403614 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.391566 predictive_accuracy 0.415663 predictive_accuracy 0.403614 predictive_accuracy 0.403614 predictive_accuracy 0.415663 predictive_accuracy 0.409639 predictive_accuracy 0.403614 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.379518 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.361446 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.403614 predictive_accuracy 0.403614 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.385542 predictive_accuracy 0.409639 predictive_accuracy 0.39759 predictive_accuracy 0.409639 predictive_accuracy 0.385542 predictive_accuracy 0.379518 predictive_accuracy 0.39759 predictive_accuracy 0.36747 predictive_accuracy 0.391566 predictive_accuracy 0.379518 predictive_accuracy 0.403614 predictive_accuracy 0.379518 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.385542 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.415663 predictive_accuracy 0.403614 predictive_accuracy 0.39759 predictive_accuracy 0.409639 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.409639 predictive_accuracy 0.373494 predictive_accuracy 0.385542 predictive_accuracy 0.379518 predictive_accuracy 0.385542 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.421687 predictive_accuracy 0.39759 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.415663 predictive_accuracy 0.36747 predictive_accuracy 0.381818 predictive_accuracy 0.406061 predictive_accuracy 0.4 predictive_accuracy 0.418182 predictive_accuracy 0.381818 predictive_accuracy 0.387879 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.393939 predictive_accuracy 0.381818 predictive_accuracy 0.4 predictive_accuracy 0.393939 predictive_accuracy 0.381818 predictive_accuracy 0.369697 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.387879 predictive_accuracy 0.406061 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.406061 predictive_accuracy 0.418182 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.412121 predictive_accuracy 0.387879 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.369697 predictive_accuracy 0.406061 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 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415663 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415663 [0,0,0,0,0,0,1,0,0,0,0.947368,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.361446 [0,0,0,0,0,0,0.757576,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.909091,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.969697,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.36747 [0,0,0,0,0,0,0.727273,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415663 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.939394,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.939394,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.373494 [0,0,0,0,0,0,0.878788,0,0,0,0.891892,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.787879,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.421687 [0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415663 [0,0,0,0,0,0,1,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.36747 [0,0,0,0,0,0,0.848485,0,0,0,0.891892,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.757576,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.969697,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.969697,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.418182 [0,0,0,0,0,0,0.969697,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.787879,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.909091,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.787879,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.787879,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.369697 [0,0,0,0,0,0,0.787879,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.418182 [0,0,0,0,0,0,0.969697,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,0.973684,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.412121 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.369697 [0,0,0,0,0,0,0.818182,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.874199 relative_absolute_error 0.878947 relative_absolute_error 0.88066 relative_absolute_error 0.886967 relative_absolute_error 0.869005 relative_absolute_error 0.872884 relative_absolute_error 0.875244 relative_absolute_error 0.863989 relative_absolute_error 0.870903 relative_absolute_error 0.876371 relative_absolute_error 0.881222 relative_absolute_error 0.882751 relative_absolute_error 0.86896 relative_absolute_error 0.887335 relative_absolute_error 0.886429 relative_absolute_error 0.875855 relative_absolute_error 0.897172 relative_absolute_error 0.890253 relative_absolute_error 0.879883 relative_absolute_error 0.870119 relative_absolute_error 0.875776 relative_absolute_error 0.88419 relative_absolute_error 0.878595 relative_absolute_error 0.869542 relative_absolute_error 0.876536 relative_absolute_error 0.878878 relative_absolute_error 0.881085 relative_absolute_error 0.873353 relative_absolute_error 0.879531 relative_absolute_error 0.888317 relative_absolute_error 0.874158 relative_absolute_error 0.87325 relative_absolute_error 0.869038 relative_absolute_error 0.873228 relative_absolute_error 0.887008 relative_absolute_error 0.87526 relative_absolute_error 0.896945 relative_absolute_error 0.888652 relative_absolute_error 0.895352 relative_absolute_error 0.873102 relative_absolute_error 0.899183 relative_absolute_error 0.881986 relative_absolute_error 0.881715 relative_absolute_error 0.874988 relative_absolute_error 0.883572 relative_absolute_error 0.885394 relative_absolute_error 0.863281 relative_absolute_error 0.860032 relative_absolute_error 0.875161 relative_absolute_error 0.876004 relative_absolute_error 0.886685 relative_absolute_error 0.88166 relative_absolute_error 0.882859 relative_absolute_error 0.885127 relative_absolute_error 0.872484 relative_absolute_error 0.891058 relative_absolute_error 0.889048 relative_absolute_error 0.891564 relative_absolute_error 0.892935 relative_absolute_error 0.873696 relative_absolute_error 0.892856 relative_absolute_error 0.877178 relative_absolute_error 0.885774 relative_absolute_error 0.871269 relative_absolute_error 0.876501 relative_absolute_error 0.879597 relative_absolute_error 0.876693 relative_absolute_error 0.885789 relative_absolute_error 0.870619 relative_absolute_error 0.894006 relative_absolute_error 0.889456 relative_absolute_error 0.866694 relative_absolute_error 0.873398 relative_absolute_error 0.860245 relative_absolute_error 0.892152 relative_absolute_error 0.873652 relative_absolute_error 0.886263 relative_absolute_error 0.877746 relative_absolute_error 0.882272 relative_absolute_error 0.87972 relative_absolute_error 0.888145 relative_absolute_error 0.871449 relative_absolute_error 0.88405 relative_absolute_error 0.898488 relative_absolute_error 0.876492 relative_absolute_error 0.868913 relative_absolute_error 0.891582 relative_absolute_error 0.868138 relative_absolute_error 0.878146 relative_absolute_error 0.871747 relative_absolute_error 0.879435 relative_absolute_error 0.875062 relative_absolute_error 0.880034 relative_absolute_error 0.878822 relative_absolute_error 0.871563 relative_absolute_error 0.875709 relative_absolute_error 0.877116 relative_absolute_error 0.87363 relative_absolute_error 0.881909 relative_absolute_error 0.87933 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 0.175628 root_mean_squared_error 0.176623 root_mean_squared_error 0.178622 root_mean_squared_error 0.178369 root_mean_squared_error 0.175349 root_mean_squared_error 0.176006 root_mean_squared_error 0.176095 root_mean_squared_error 0.175593 root_mean_squared_error 0.174736 root_mean_squared_error 0.176347 root_mean_squared_error 0.177908 root_mean_squared_error 0.17769 root_mean_squared_error 0.177203 root_mean_squared_error 0.178183 root_mean_squared_error 0.177754 root_mean_squared_error 0.177298 root_mean_squared_error 0.18091 root_mean_squared_error 0.176556 root_mean_squared_error 0.177568 root_mean_squared_error 0.176219 root_mean_squared_error 0.176558 root_mean_squared_error 0.178365 root_mean_squared_error 0.176494 root_mean_squared_error 0.175532 root_mean_squared_error 0.177492 root_mean_squared_error 0.176897 root_mean_squared_error 0.177927 root_mean_squared_error 0.176909 root_mean_squared_error 0.177094 root_mean_squared_error 0.177611 root_mean_squared_error 0.175265 root_mean_squared_error 0.176666 root_mean_squared_error 0.175956 root_mean_squared_error 0.178897 root_mean_squared_error 0.178265 root_mean_squared_error 0.177783 root_mean_squared_error 0.179443 root_mean_squared_error 0.178005 root_mean_squared_error 0.17989 root_mean_squared_error 0.177582 root_mean_squared_error 0.179391 root_mean_squared_error 0.178207 root_mean_squared_error 0.178335 root_mean_squared_error 0.178954 root_mean_squared_error 0.177039 root_mean_squared_error 0.177574 root_mean_squared_error 0.175308 root_mean_squared_error 0.175467 root_mean_squared_error 0.176293 root_mean_squared_error 0.175545 root_mean_squared_error 0.177925 root_mean_squared_error 0.177671 root_mean_squared_error 0.175926 root_mean_squared_error 0.176982 root_mean_squared_error 0.175102 root_mean_squared_error 0.179949 root_mean_squared_error 0.178795 root_mean_squared_error 0.178413 root_mean_squared_error 0.178921 root_mean_squared_error 0.175939 root_mean_squared_error 0.178487 root_mean_squared_error 0.177136 root_mean_squared_error 0.176118 root_mean_squared_error 0.174518 root_mean_squared_error 0.177294 root_mean_squared_error 0.177008 root_mean_squared_error 0.17693 root_mean_squared_error 0.178164 root_mean_squared_error 0.175567 root_mean_squared_error 0.180973 root_mean_squared_error 0.178594 root_mean_squared_error 0.176347 root_mean_squared_error 0.176022 root_mean_squared_error 0.177196 root_mean_squared_error 0.178375 root_mean_squared_error 0.176597 root_mean_squared_error 0.176373 root_mean_squared_error 0.176929 root_mean_squared_error 0.177365 root_mean_squared_error 0.178559 root_mean_squared_error 0.176685 root_mean_squared_error 0.176179 root_mean_squared_error 0.178788 root_mean_squared_error 0.178785 root_mean_squared_error 0.177349 root_mean_squared_error 0.175358 root_mean_squared_error 0.177791 root_mean_squared_error 0.175942 root_mean_squared_error 0.178084 root_mean_squared_error 0.176092 root_mean_squared_error 0.176413 root_mean_squared_error 0.174446 root_mean_squared_error 0.176489 root_mean_squared_error 0.176307 root_mean_squared_error 0.17654 root_mean_squared_error 0.177904 root_mean_squared_error 0.176158 root_mean_squared_error 0.176767 root_mean_squared_error 0.178651 root_mean_squared_error 0.175394 root_relative_squared_error 0.932363 root_relative_squared_error 0.938925 root_relative_squared_error 0.948552 root_relative_squared_error 0.946757 root_relative_squared_error 0.932238 root_relative_squared_error 0.934601 root_relative_squared_error 0.934967 root_relative_squared_error 0.933146 root_relative_squared_error 0.928779 root_relative_squared_error 0.936667 root_relative_squared_error 0.944405 root_relative_squared_error 0.94328 root_relative_squared_error 0.941125 root_relative_squared_error 0.94639 root_relative_squared_error 0.943919 root_relative_squared_error 0.941438 root_relative_squared_error 0.960193 root_relative_squared_error 0.936983 root_relative_squared_error 0.942657 root_relative_squared_error 0.935958 root_relative_squared_error 0.937236 root_relative_squared_error 0.947347 root_relative_squared_error 0.937098 root_relative_squared_error 0.93231 root_relative_squared_error 0.942329 root_relative_squared_error 0.939244 root_relative_squared_error 0.94455 root_relative_squared_error 0.938878 root_relative_squared_error 0.940631 root_relative_squared_error 0.943035 root_relative_squared_error 0.930242 root_relative_squared_error 0.937797 root_relative_squared_error 0.934289 root_relative_squared_error 0.950184 root_relative_squared_error 0.946431 root_relative_squared_error 0.943856 root_relative_squared_error 0.952642 root_relative_squared_error 0.945072 root_relative_squared_error 0.955538 root_relative_squared_error 0.942576 root_relative_squared_error 0.95234 root_relative_squared_error 0.94625 root_relative_squared_error 0.946516 root_relative_squared_error 0.950392 root_relative_squared_error 0.939694 root_relative_squared_error 0.943785 root_relative_squared_error 0.932445 root_relative_squared_error 0.931685 root_relative_squared_error 0.936327 root_relative_squared_error 0.931981 root_relative_squared_error 0.944555 root_relative_squared_error 0.943403 root_relative_squared_error 0.933733 root_relative_squared_error 0.939939 root_relative_squared_error 0.929684 root_relative_squared_error 0.955256 root_relative_squared_error 0.949312 root_relative_squared_error 0.947329 root_relative_squared_error 0.949687 root_relative_squared_error 0.934977 root_relative_squared_error 0.947664 root_relative_squared_error 0.940468 root_relative_squared_error 0.935939 root_relative_squared_error 0.926855 root_relative_squared_error 0.941279 root_relative_squared_error 0.939568 root_relative_squared_error 0.939337 root_relative_squared_error 0.946004 root_relative_squared_error 0.931881 root_relative_squared_error 0.960614 root_relative_squared_error 0.95035 root_relative_squared_error 0.936867 root_relative_squared_error 0.935245 root_relative_squared_error 0.941052 root_relative_squared_error 0.947693 root_relative_squared_error 0.938033 root_relative_squared_error 0.937043 root_relative_squared_error 0.940392 root_relative_squared_error 0.942092 root_relative_squared_error 0.948237 root_relative_squared_error 0.938894 root_relative_squared_error 0.935972 root_relative_squared_error 0.94994 root_relative_squared_error 0.949172 root_relative_squared_error 0.942138 root_relative_squared_error 0.931808 root_relative_squared_error 0.944578 root_relative_squared_error 0.935024 root_relative_squared_error 0.945865 root_relative_squared_error 0.93565 root_relative_squared_error 0.93741 root_relative_squared_error 0.926392 root_relative_squared_error 0.937589 root_relative_squared_error 0.936978 root_relative_squared_error 0.93784 root_relative_squared_error 0.94529 root_relative_squared_error 0.935611 root_relative_squared_error 0.939089 root_relative_squared_error 0.94894 root_relative_squared_error 0.931941 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 8520 usercpu_time_millis 10040 usercpu_time_millis 8510 usercpu_time_millis 9780 usercpu_time_millis 8540 usercpu_time_millis 9870 usercpu_time_millis 8020 usercpu_time_millis 11150 usercpu_time_millis 9100 usercpu_time_millis 8310 usercpu_time_millis 9400 usercpu_time_millis 8690 usercpu_time_millis 7930 usercpu_time_millis 11050 usercpu_time_millis 8020 usercpu_time_millis 7590 usercpu_time_millis 8500 usercpu_time_millis 9710 usercpu_time_millis 8940 usercpu_time_millis 7560 usercpu_time_millis 8190 usercpu_time_millis 7510 usercpu_time_millis 8670 usercpu_time_millis 11160 usercpu_time_millis 7800 usercpu_time_millis 6310 usercpu_time_millis 10200 usercpu_time_millis 9810 usercpu_time_millis 8270 usercpu_time_millis 7390 usercpu_time_millis 7870 usercpu_time_millis 7660 usercpu_time_millis 8180 usercpu_time_millis 11010 usercpu_time_millis 7130 usercpu_time_millis 6620 usercpu_time_millis 8180 usercpu_time_millis 9360 usercpu_time_millis 8400 usercpu_time_millis 8840 usercpu_time_millis 10580 usercpu_time_millis 7510 usercpu_time_millis 8330 usercpu_time_millis 8770 usercpu_time_millis 8690 usercpu_time_millis 9130 usercpu_time_millis 9270 usercpu_time_millis 9030 usercpu_time_millis 9250 usercpu_time_millis 9560 usercpu_time_millis 9340 usercpu_time_millis 8180 usercpu_time_millis 8130 usercpu_time_millis 9600 usercpu_time_millis 8910 usercpu_time_millis 8440 usercpu_time_millis 8470 usercpu_time_millis 9840 usercpu_time_millis 7190 usercpu_time_millis 8650 usercpu_time_millis 6590 usercpu_time_millis 7630 usercpu_time_millis 10730 usercpu_time_millis 8320 usercpu_time_millis 9930 usercpu_time_millis 7420 usercpu_time_millis 9540 usercpu_time_millis 9070 usercpu_time_millis 8090 usercpu_time_millis 7630 usercpu_time_millis 9000 usercpu_time_millis 7810 usercpu_time_millis 8460 usercpu_time_millis 8440 usercpu_time_millis 9040 usercpu_time_millis 9410 usercpu_time_millis 9090 usercpu_time_millis 8330 usercpu_time_millis 8310 usercpu_time_millis 10310 usercpu_time_millis 8970 usercpu_time_millis 9360 usercpu_time_millis 9640 usercpu_time_millis 8170 usercpu_time_millis 10940 usercpu_time_millis 9490 usercpu_time_millis 10160 usercpu_time_millis 9710 usercpu_time_millis 9100 usercpu_time_millis 8040 usercpu_time_millis 8660 usercpu_time_millis 8190 usercpu_time_millis 8570 usercpu_time_millis 8570 usercpu_time_millis 8630 usercpu_time_millis 9010 usercpu_time_millis 7720 usercpu_time_millis 9060 usercpu_time_millis 8690 usercpu_time_millis 10330 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 8520 usercpu_time_millis_training 10040 usercpu_time_millis_training 8510 usercpu_time_millis_training 9780 usercpu_time_millis_training 8540 usercpu_time_millis_training 9870 usercpu_time_millis_training 8020 usercpu_time_millis_training 11150 usercpu_time_millis_training 9100 usercpu_time_millis_training 8310 usercpu_time_millis_training 9400 usercpu_time_millis_training 8690 usercpu_time_millis_training 7930 usercpu_time_millis_training 11050 usercpu_time_millis_training 8020 usercpu_time_millis_training 7590 usercpu_time_millis_training 8500 usercpu_time_millis_training 9710 usercpu_time_millis_training 8940 usercpu_time_millis_training 7560 usercpu_time_millis_training 8190 usercpu_time_millis_training 7510 usercpu_time_millis_training 8670 usercpu_time_millis_training 11160 usercpu_time_millis_training 7800 usercpu_time_millis_training 6310 usercpu_time_millis_training 10200 usercpu_time_millis_training 9810 usercpu_time_millis_training 8270 usercpu_time_millis_training 7390 usercpu_time_millis_training 7860 usercpu_time_millis_training 7660 usercpu_time_millis_training 8180 usercpu_time_millis_training 11010 usercpu_time_millis_training 7130 usercpu_time_millis_training 6620 usercpu_time_millis_training 8180 usercpu_time_millis_training 9360 usercpu_time_millis_training 8400 usercpu_time_millis_training 8840 usercpu_time_millis_training 10580 usercpu_time_millis_training 7510 usercpu_time_millis_training 8330 usercpu_time_millis_training 8760 usercpu_time_millis_training 8690 usercpu_time_millis_training 9130 usercpu_time_millis_training 9270 usercpu_time_millis_training 9030 usercpu_time_millis_training 9250 usercpu_time_millis_training 9560 usercpu_time_millis_training 9340 usercpu_time_millis_training 8180 usercpu_time_millis_training 8130 usercpu_time_millis_training 9600 usercpu_time_millis_training 8910 usercpu_time_millis_training 8440 usercpu_time_millis_training 8470 usercpu_time_millis_training 9840 usercpu_time_millis_training 7190 usercpu_time_millis_training 8650 usercpu_time_millis_training 6590 usercpu_time_millis_training 7630 usercpu_time_millis_training 10730 usercpu_time_millis_training 8320 usercpu_time_millis_training 9930 usercpu_time_millis_training 7420 usercpu_time_millis_training 9540 usercpu_time_millis_training 9070 usercpu_time_millis_training 8090 usercpu_time_millis_training 7630 usercpu_time_millis_training 9000 usercpu_time_millis_training 7810 usercpu_time_millis_training 8460 usercpu_time_millis_training 8430 usercpu_time_millis_training 9040 usercpu_time_millis_training 9410 usercpu_time_millis_training 9090 usercpu_time_millis_training 8330 usercpu_time_millis_training 8310 usercpu_time_millis_training 10310 usercpu_time_millis_training 8970 usercpu_time_millis_training 9360 usercpu_time_millis_training 9640 usercpu_time_millis_training 8170 usercpu_time_millis_training 10940 usercpu_time_millis_training 9490 usercpu_time_millis_training 10160 usercpu_time_millis_training 9710 usercpu_time_millis_training 9100 usercpu_time_millis_training 8040 usercpu_time_millis_training 8660 usercpu_time_millis_training 8190 usercpu_time_millis_training 8570 usercpu_time_millis_training 8570 usercpu_time_millis_training 8630 usercpu_time_millis_training 9010 usercpu_time_millis_training 7720 usercpu_time_millis_training 9060 usercpu_time_millis_training 8690 usercpu_time_millis_training 10330