316464 2 Joaquin Vanschoren 4218 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree weka weka_3.7.12 378 ipums_la_99-small https://www.openml.org/data/download/52418/ipums_la_99-small.arff -1 1076206 description https://api.openml.org/data/download/1076206/weka_generated_run5331510688650168075.xml -1 1076209 model_readable https://api.openml.org/data/download/1076209/WekaModel_weka.classifiers.trees.NBTree1431694755746675937.model -1 1076208 model_serialized https://api.openml.org/data/download/1076208/WekaSerialized_weka.classifiers.trees.NBTree9131968656736375638.model -1 1076207 predictions https://api.openml.org/data/download/1076207/weka_generated_predictions5382610060160169371.arff area_under_roc_curve 0.960532 [1,0.908525,0.886814,0.843108,0.889422,0.863583,0.897735] average_cost 0 f_measure 0.81316 [1,0.526564,0.509045,0.382025,0.462744,0.226772,0.41499] kappa 0.658961 kb_relative_information_score 52945.352386 mean_absolute_error 0.053541 mean_prior_absolute_error 0.155821 number_of_instances 88440 [58030,7100,9010,4030,5600,2700,1970] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic] precision 0.813945 [1,0.533295,0.525656,0.394605,0.426124,0.279587,0.355975] predictive_accuracy 0.813998 prior_entropy 1.759357 recall 0.813998 [1,0.52,0.493452,0.370223,0.50625,0.190741,0.497462] relative_absolute_error 0.343603 root_mean_prior_squared_error 0.279062 root_mean_squared_error 0.215914 root_relative_squared_error 0.773714 scimark_benchmark 1341.579517 [806.7718259494214, 1014.1868590421574, 545.6005383039202, 1115.5064282480778, 3225.831934801083] total_cost 0 usercpu_time_millis 701700 usercpu_time_millis_testing 3070 usercpu_time_millis_training 698630 area_under_roc_curve 0.95912 [1,0.935841,0.899406,0.830459,0.913719,0.67802,0.886821] area_under_roc_curve 0.949177 [1,0.898502,0.91021,0.712634,0.867612,0.772663,0.770694] area_under_roc_curve 0.969162 [1,0.87689,0.90311,0.904719,0.934743,0.928041,0.978873] area_under_roc_curve 0.974881 [1,0.916972,0.94574,0.885828,0.915173,0.955322,0.956272] area_under_roc_curve 0.956756 [1,0.938852,0.902928,0.71534,0.876454,0.829664,0.885549] area_under_roc_curve 0.951694 [1,0.934509,0.90311,0.684778,0.893331,0.761871,0.781532] area_under_roc_curve 0.973153 [1,0.920796,0.895178,0.926923,0.946601,0.929746,0.955405] area_under_roc_curve 0.960988 [1,0.957695,0.915772,0.843314,0.835333,0.790555,0.860116] area_under_roc_curve 0.969904 [1,0.904497,0.898812,0.924467,0.92338,0.908724,0.951445] area_under_roc_curve 0.939044 [1,0.837544,0.842823,0.755976,0.842937,0.749633,0.852514] area_under_roc_curve 0.954261 [1,0.933747,0.895793,0.786123,0.829043,0.805469,0.852559] area_under_roc_curve 0.966039 [1,0.923132,0.861908,0.914779,0.88213,0.953186,0.957305] area_under_roc_curve 0.977818 [1,0.950237,0.935451,0.936395,0.936692,0.902422,0.921022] area_under_roc_curve 0.95185 [1,0.947365,0.883669,0.780888,0.838166,0.748532,0.810549] area_under_roc_curve 0.965251 [1,0.873819,0.872243,0.877189,0.944781,0.951567,0.950809] area_under_roc_curve 0.949539 [1,0.884737,0.843473,0.801036,0.850498,0.881205,0.857572] area_under_roc_curve 0.95512 [1,0.942036,0.869755,0.796701,0.871661,0.787037,0.859364] area_under_roc_curve 0.942923 [1,0.847562,0.852502,0.755666,0.858177,0.782418,0.858757] area_under_roc_curve 0.946475 [1,0.86823,0.861097,0.758373,0.854084,0.768821,0.928295] area_under_roc_curve 0.968446 [1,0.89421,0.869881,0.937426,0.931512,0.944013,0.957312] area_under_roc_curve 0.969753 [1,0.899886,0.900224,0.924098,0.92142,0.935293,0.925185] area_under_roc_curve 0.970026 [1,0.915398,0.880755,0.934747,0.904748,0.946732,0.982071] area_under_roc_curve 0.9719 [1,0.905518,0.92659,0.92131,0.915679,0.931969,0.906922] area_under_roc_curve 0.967686 [1,0.888518,0.881593,0.902485,0.927677,0.938207,0.979653] area_under_roc_curve 0.966971 [1,0.879737,0.898616,0.920148,0.921603,0.907753,0.925376] area_under_roc_curve 0.953334 [1,0.924144,0.894556,0.784231,0.841149,0.753863,0.887399] area_under_roc_curve 0.97734 [1,0.949701,0.940657,0.888521,0.943779,0.931192,0.916185] area_under_roc_curve 0.954203 [1,0.93251,0.892935,0.781879,0.878522,0.710999,0.861387] area_under_roc_curve 0.969512 [1,0.906037,0.901461,0.920148,0.907612,0.958171,0.902746] area_under_roc_curve 0.939216 [1,0.849275,0.810105,0.739275,0.831068,0.859233,0.884422] area_under_roc_curve 0.948185 [1,0.889668,0.850541,0.787828,0.862679,0.768648,0.90598] area_under_roc_curve 0.96212 [1,0.851403,0.866298,0.888802,0.934474,0.934689,0.953728] area_under_roc_curve 0.951325 [1,0.946396,0.882359,0.735377,0.873901,0.694423,0.873465] area_under_roc_curve 0.969096 [1,0.913261,0.88557,0.932929,0.917381,0.940365,0.901358] area_under_roc_curve 0.959738 [1,0.964685,0.898359,0.794423,0.891683,0.78585,0.809769] area_under_roc_curve 0.953654 [1,0.885611,0.855703,0.855503,0.898027,0.762303,0.907225] area_under_roc_curve 0.945107 [1,0.870324,0.862215,0.788709,0.847008,0.749288,0.850796] area_under_roc_curve 0.953091 [1,0.945167,0.874675,0.820512,0.83851,0.772145,0.810636] area_under_roc_curve 0.955617 [1,0.931844,0.893854,0.849334,0.820298,0.802858,0.831618] area_under_roc_curve 0.971616 [1,0.940669,0.911998,0.90216,0.906729,0.931192,0.904769] area_under_roc_curve 0.953701 [1,0.940925,0.882445,0.805332,0.818539,0.800661,0.858825] area_under_roc_curve 0.951891 [1,0.884873,0.872887,0.740669,0.897106,0.912961,0.778559] area_under_roc_curve 0.977005 [1,0.945126,0.933144,0.887796,0.920732,0.957085,0.983565] area_under_roc_curve 0.974096 [1,0.918092,0.920375,0.884616,0.942007,0.937703,0.986492] area_under_roc_curve 0.965966 [1,0.907437,0.879597,0.876183,0.905355,0.952461,0.946425] area_under_roc_curve 0.976821 [1,0.931041,0.952015,0.904088,0.893698,0.965772,0.975449] area_under_roc_curve 0.943361 [1,0.894695,0.836902,0.756445,0.834703,0.821557,0.797232] area_under_roc_curve 0.948704 [1,0.876436,0.858284,0.77933,0.871894,0.785254,0.905324] area_under_roc_curve 0.976548 [1,0.924943,0.937741,0.929751,0.909722,0.944012,0.981503] area_under_roc_curve 0.975224 [1,0.925013,0.925308,0.917354,0.928205,0.942046,0.953605] area_under_roc_curve 0.972083 [1,0.922821,0.933172,0.868809,0.899176,0.955054,0.946123] area_under_roc_curve 0.968465 [1,0.870364,0.899307,0.935634,0.92897,0.956308,0.906076] area_under_roc_curve 0.975607 [1,0.944398,0.931199,0.857805,0.942568,0.957647,0.931192] area_under_roc_curve 0.949304 [1,0.919374,0.886237,0.746174,0.829257,0.777518,0.848585] area_under_roc_curve 0.95129 [1,0.902526,0.852596,0.827359,0.840267,0.796966,0.928019] area_under_roc_curve 0.971041 [1,0.925801,0.921907,0.841044,0.930405,0.961018,0.903377] area_under_roc_curve 0.965709 [1,0.888537,0.885929,0.910916,0.88051,0.961623,0.960359] area_under_roc_curve 0.961603 [1,0.886882,0.876029,0.85946,0.907706,0.895609,0.947125] area_under_roc_curve 0.966213 [1,0.864525,0.901693,0.909614,0.918629,0.937206,0.924034] area_under_roc_curve 0.949018 [1,0.917589,0.824839,0.817464,0.914122,0.729007,0.797779] area_under_roc_curve 0.955383 [1,0.902829,0.875021,0.834627,0.859903,0.800402,0.927749] area_under_roc_curve 0.948256 [1,0.901478,0.846418,0.803791,0.844667,0.799862,0.851331] area_under_roc_curve 0.947811 [1,0.850822,0.874461,0.742654,0.849239,0.916894,0.836748] area_under_roc_curve 0.969505 [1,0.917962,0.897831,0.945751,0.886829,0.930464,0.921144] area_under_roc_curve 0.958653 [1,0.910712,0.901679,0.813514,0.870902,0.825338,0.906784] area_under_roc_curve 0.968751 [1,0.874998,0.87528,0.944768,0.935494,0.952958,0.980164] area_under_roc_curve 0.953472 [1,0.906536,0.889561,0.73359,0.887228,0.771187,0.929716] area_under_roc_curve 0.970657 [1,0.943012,0.933047,0.846579,0.892577,0.937141,0.897353] area_under_roc_curve 0.954089 [1,0.959228,0.881311,0.74574,0.866168,0.802757,0.801917] area_under_roc_curve 0.949028 [1,0.931327,0.873964,0.753204,0.846004,0.708825,0.882324] area_under_roc_curve 0.955407 [1,0.959332,0.890967,0.756146,0.87101,0.781084,0.80842] area_under_roc_curve 0.972218 [1,0.931856,0.89809,0.919816,0.918381,0.91067,0.98206] area_under_roc_curve 0.969519 [1,0.925073,0.885083,0.890255,0.945587,0.935779,0.894387] area_under_roc_curve 0.938894 [1,0.860532,0.812014,0.77888,0.826162,0.805156,0.832176] area_under_roc_curve 0.980011 [1,0.929266,0.943717,0.919209,0.946191,0.963741,0.98206] area_under_roc_curve 0.968699 [1,0.914765,0.912769,0.873845,0.899155,0.95728,0.903964] area_under_roc_curve 0.935892 [1,0.869342,0.805898,0.750977,0.817644,0.746597,0.854456] area_under_roc_curve 0.981072 [1,0.958907,0.939344,0.936641,0.939236,0.943667,0.955122] area_under_roc_curve 0.952654 [1,0.90515,0.903163,0.761996,0.86013,0.729331,0.912818] area_under_roc_curve 0.958156 [1,0.962822,0.930185,0.785323,0.80755,0.821146,0.806308] area_under_roc_curve 0.941901 [1,0.856418,0.813763,0.743513,0.901689,0.76706,0.882523] area_under_roc_curve 0.96949 [1,0.889186,0.890057,0.932938,0.926134,0.943623,0.956626] area_under_roc_curve 0.977861 [1,0.961592,0.927967,0.934775,0.897904,0.954471,0.959751] area_under_roc_curve 0.97292 [1,0.920508,0.898866,0.914662,0.931666,0.953023,0.965799] area_under_roc_curve 0.940523 [1,0.911751,0.849454,0.771016,0.822981,0.688967,0.735359] area_under_roc_curve 0.976764 [1,0.929049,0.937853,0.915403,0.926027,0.94438,0.955932] area_under_roc_curve 0.950079 [1,0.850813,0.872187,0.878081,0.825408,0.84887,0.834983] area_under_roc_curve 0.965154 [1,0.891889,0.873727,0.901126,0.919848,0.934353,0.922627] area_under_roc_curve 0.94842 [1,0.8902,0.847607,0.754265,0.898367,0.785881,0.860822] area_under_roc_curve 0.964977 [1,0.872131,0.876511,0.886493,0.944541,0.956156,0.903096] area_under_roc_curve 0.978055 [1,0.95643,0.937224,0.89963,0.937974,0.957129,0.899508] area_under_roc_curve 0.955325 [1,0.915614,0.889575,0.797349,0.879497,0.781819,0.859115] area_under_roc_curve 0.970948 [1,0.922102,0.872698,0.913107,0.935764,0.955097,0.979572] area_under_roc_curve 0.945786 [1,0.895648,0.83115,0.769787,0.865446,0.843381,0.78261] area_under_roc_curve 0.946302 [1,0.886839,0.857417,0.808634,0.786706,0.865681,0.831192] area_under_roc_curve 0.971846 [1,0.91454,0.89732,0.93747,0.930405,0.930939,0.934201] area_under_roc_curve 0.965101 [1,0.847738,0.904688,0.860041,0.949017,0.940944,0.929311] area_under_roc_curve 0.965748 [1,0.876228,0.881059,0.911463,0.920063,0.939086,0.943837] area_under_roc_curve 0.978034 [1,0.961783,0.932578,0.901466,0.917756,0.9374,0.980035] area_under_roc_curve 0.959261 [1,0.876211,0.868619,0.853703,0.903015,0.877847,0.959057] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.819738 [1,0.581081,0.532544,0.4,0.492063,0.130435,0.410256] f_measure 0.802271 [1,0.453333,0.454545,0.309859,0.504505,0.352941,0.285714] f_measure 0.807132 [1,0.510067,0.46988,0.385542,0.432432,0.177778,0.518519] f_measure 0.819606 [1,0.491803,0.586387,0.413793,0.436364,0.238095,0.482759] f_measure 0.820357 [1,0.571429,0.521739,0.30303,0.49635,0.333333,0.428571] f_measure 0.807732 [1,0.545455,0.496894,0.309859,0.484375,0.196078,0.27907] f_measure 0.833686 [1,0.597222,0.551724,0.444444,0.545455,0.266667,0.461538] f_measure 0.821414 [1,0.569444,0.538012,0.487805,0.42623,0.186047,0.434783] f_measure 0.81871 [1,0.527132,0.574468,0.409639,0.482759,0.146341,0.352941] f_measure 0.798671 [1,0.441176,0.502793,0.293333,0.432,0.304348,0.255319] f_measure 0.815989 [1,0.546667,0.481928,0.447368,0.472441,0.25,0.390244] f_measure 0.816368 [1,0.550725,0.502793,0.441558,0.387097,0.277778,0.518519] f_measure 0.816677 [1,0.6,0.526316,0.352941,0.492308,0.105263,0.363636] f_measure 0.810768 [1,0.547945,0.46988,0.439024,0.42735,0.204082,0.416667] f_measure 0.824764 [1,0.507246,0.54023,0.453333,0.535433,0.272727,0.44] f_measure 0.818847 [1,0.536913,0.5,0.428571,0.459016,0.352941,0.409091] f_measure 0.826892 [1,0.62585,0.552941,0.415584,0.479339,0.177778,0.416667] f_measure 0.809018 [1,0.468085,0.511364,0.361111,0.455285,0.280702,0.410256] f_measure 0.808062 [1,0.406504,0.545455,0.4,0.483333,0.255319,0.311111] f_measure 0.813343 [1,0.49635,0.502793,0.422535,0.48062,0.166667,0.5] f_measure 0.823566 [1,0.546763,0.547619,0.47191,0.440678,0.272727,0.44] f_measure 0.820665 [1,0.559441,0.488372,0.45977,0.470588,0.263158,0.489796] f_measure 0.810276 [1,0.5,0.466258,0.413043,0.46281,0.195122,0.553191] f_measure 0.812761 [1,0.517483,0.508671,0.363636,0.507692,0.111111,0.489796] f_measure 0.795854 [1,0.446281,0.534759,0.305556,0.402985,0,0.436364] f_measure 0.809115 [1,0.451128,0.52973,0.410256,0.403361,0.285714,0.432432] f_measure 0.820728 [1,0.609929,0.541176,0.337662,0.527132,0.153846,0.307692] f_measure 0.812487 [1,0.561644,0.484848,0.35,0.492308,0.16,0.432432] f_measure 0.821355 [1,0.558824,0.519774,0.405797,0.460317,0.3,0.466667] f_measure 0.796218 [1,0.457143,0.446927,0.303797,0.433333,0.297872,0.325581] f_measure 0.820875 [1,0.503704,0.542553,0.435897,0.52459,0.227273,0.418605] f_measure 0.806902 [1,0.456693,0.497238,0.320988,0.5,0.292683,0.384615] f_measure 0.800074 [1,0.537931,0.469274,0.30303,0.42735,0.156863,0.346154] f_measure 0.795158 [1,0.430556,0.409091,0.375,0.5,0.195122,0.352941] f_measure 0.81894 [1,0.605634,0.557377,0.385542,0.392857,0.264151,0.324324] f_measure 0.817748 [1,0.577181,0.478528,0.47619,0.466667,0.222222,0.4] f_measure 0.805035 [1,0.483221,0.497041,0.378378,0.40678,0.285714,0.363636] f_measure 0.809489 [1,0.567568,0.485549,0.347826,0.447761,0.25,0.315789] f_measure 0.792807 [1,0.493151,0.417178,0.4,0.336134,0.271186,0.325581] f_measure 0.800591 [1,0.486111,0.41573,0.352941,0.503817,0.15,0.489796] f_measure 0.795537 [1,0.492754,0.468571,0.328767,0.393701,0.081633,0.434783] f_measure 0.807431 [1,0.503401,0.471264,0.376812,0.470588,0.344828,0.243902] f_measure 0.817632 [1,0.496241,0.511111,0.444444,0.461538,0.272727,0.528302] f_measure 0.833452 [1,0.630137,0.564706,0.368421,0.476923,0.325581,0.55814] f_measure 0.804466 [1,0.473282,0.480447,0.380952,0.5,0.114286,0.4] f_measure 0.823912 [1,0.553191,0.586957,0.346667,0.453782,0.292683,0.458333] f_measure 0.800344 [1,0.513889,0.476744,0.341463,0.403509,0.285714,0.2] f_measure 0.807553 [1,0.485714,0.479532,0.385542,0.516129,0.108108,0.45283] f_measure 0.80387 [1,0.460432,0.485876,0.418605,0.388889,0.232558,0.472727] f_measure 0.817872 [1,0.559441,0.509091,0.386364,0.464,0.263158,0.44898] f_measure 0.8023 [1,0.496644,0.482759,0.342105,0.460177,0.190476,0.296296] f_measure 0.818696 [1,0.515625,0.542553,0.379747,0.504065,0.166667,0.518519] f_measure 0.832342 [1,0.551724,0.503067,0.461538,0.576,0.4,0.491228] f_measure 0.813122 [1,0.496552,0.508475,0.432432,0.490909,0.20339,0.372093] f_measure 0.816493 [1,0.561151,0.528736,0.447059,0.440367,0.145455,0.391304] f_measure 0.799227 [1,0.412214,0.473118,0.414634,0.440678,0.15,0.470588] f_measure 0.817761 [1,0.550725,0.56,0.417582,0.34188,0.228571,0.576923] f_measure 0.814148 [1,0.515152,0.581006,0.368421,0.430769,0.142857,0.408163] f_measure 0.80335 [1,0.470588,0.491429,0.285714,0.476923,0.216216,0.434783] f_measure 0.808067 [1,0.471429,0.474576,0.459459,0.495868,0.237288,0.27027] f_measure 0.814781 [1,0.503597,0.52514,0.4,0.453782,0.339623,0.333333] f_measure 0.799741 [1,0.465116,0.513966,0.342105,0.409091,0.290909,0.162162] f_measure 0.811571 [1,0.517986,0.530387,0.229508,0.474074,0.326531,0.418605] f_measure 0.806 [1,0.510638,0.447059,0.510638,0.446429,0.102564,0.384615] f_measure 0.805263 [1,0.458333,0.462428,0.439024,0.483871,0.170213,0.421053] f_measure 0.813874 [1,0.503817,0.534091,0.373333,0.507463,0.108108,0.472727] f_measure 0.809165 [1,0.503497,0.5,0.315789,0.503937,0.238095,0.363636] f_measure 0.80431 [1,0.556291,0.47619,0.341463,0.444444,0.12766,0.325581] f_measure 0.814351 [1,0.593103,0.509091,0.333333,0.449612,0.226415,0.368421] f_measure 0.793792 [1,0.535211,0.476744,0.228571,0.351145,0.111111,0.461538] f_measure 0.815465 [1,0.605634,0.526946,0.338028,0.416,0.241379,0.355556] f_measure 0.815787 [1,0.52381,0.587629,0.358974,0.409836,0.111111,0.538462] f_measure 0.826819 [1,0.561644,0.56,0.426667,0.612903,0.105263,0.32] f_measure 0.816873 [1,0.544118,0.5,0.346667,0.491525,0.363636,0.363636] f_measure 0.80531 [1,0.466165,0.502793,0.305882,0.442623,0.25641,0.48] f_measure 0.810211 [1,0.611111,0.47619,0.329412,0.419355,0.153846,0.458333] f_measure 0.788942 [1,0.514286,0.369427,0.326087,0.40625,0.170213,0.363636] f_measure 0.828992 [1,0.571429,0.556818,0.38961,0.508197,0.3,0.5] f_measure 0.801573 [1,0.510345,0.482353,0.275,0.42735,0.156863,0.488889] f_measure 0.824429 [1,0.635762,0.576271,0.382353,0.424779,0.204082,0.36] f_measure 0.81088 [1,0.54902,0.509091,0.266667,0.470588,0.259259,0.4] f_measure 0.825357 [1,0.549296,0.511905,0.435897,0.566667,0.205128,0.491803] f_measure 0.818814 [1,0.56338,0.522222,0.433735,0.45,0.15,0.511628] f_measure 0.819008 [1,0.49635,0.52514,0.4,0.47541,0.285714,0.55814] f_measure 0.808505 [1,0.571429,0.51497,0.356164,0.470588,0.044444,0.3] f_measure 0.829784 [1,0.602941,0.583333,0.4,0.507937,0.146341,0.491228] f_measure 0.829444 [1,0.544,0.588832,0.520548,0.48855,0.238095,0.35] f_measure 0.803408 [1,0.449612,0.480874,0.32,0.496124,0.238095,0.4] f_measure 0.815006 [1,0.510345,0.514286,0.346667,0.495868,0.357143,0.333333] f_measure 0.810666 [1,0.492063,0.49162,0.391304,0.483333,0.222222,0.436364] f_measure 0.818733 [1,0.623377,0.5,0.361446,0.452174,0.243902,0.40678] f_measure 0.809363 [1,0.517986,0.49711,0.35,0.483333,0.237288,0.324324] f_measure 0.822496 [1,0.567568,0.526946,0.373333,0.474576,0.311111,0.472727] f_measure 0.804465 [1,0.496241,0.494253,0.337662,0.465116,0.259259,0.243902] f_measure 0.814688 [1,0.538462,0.534759,0.436782,0.348624,0.36,0.355556] f_measure 0.818652 [1,0.563758,0.481481,0.475,0.451613,0.195122,0.538462] f_measure 0.821472 [1,0.541353,0.586207,0.380952,0.442478,0.177778,0.508475] f_measure 0.805093 [1,0.540146,0.483516,0.4,0.40678,0.157895,0.339623] f_measure 0.808938 [1,0.485714,0.474576,0.365854,0.440945,0.3,0.52381] f_measure 0.820661 [1,0.503597,0.513966,0.371429,0.549618,0.326531,0.45] kappa 0.672279 kappa 0.637114 kappa 0.649993 kappa 0.673321 kappa 0.674448 kappa 0.649731 kappa 0.697312 kappa 0.674497 kappa 0.670185 kappa 0.630837 kappa 0.664096 kappa 0.666081 kappa 0.668194 kappa 0.654078 kappa 0.680754 kappa 0.668168 kappa 0.684893 kappa 0.649511 kappa 0.651173 kappa 0.663985 kappa 0.676923 kappa 0.674519 kappa 0.656166 kappa 0.663952 kappa 0.632902 kappa 0.649354 kappa 0.674573 kappa 0.657928 kappa 0.674593 kappa 0.626592 kappa 0.67485 kappa 0.648456 kappa 0.635945 kappa 0.626742 kappa 0.668783 kappa 0.667295 kappa 0.642367 kappa 0.654236 kappa 0.619973 kappa 0.641838 kappa 0.626688 kappa 0.647358 kappa 0.668276 kappa 0.697078 kappa 0.647491 kappa 0.680263 kappa 0.633033 kappa 0.653798 kappa 0.643519 kappa 0.668398 kappa 0.639134 kappa 0.674171 kappa 0.695499 kappa 0.655753 kappa 0.662253 kappa 0.636892 kappa 0.670319 kappa 0.661884 kappa 0.643164 kappa 0.647336 kappa 0.659863 kappa 0.632821 kappa 0.659457 kappa 0.64982 kappa 0.645166 kappa 0.666173 kappa 0.653376 kappa 0.643312 kappa 0.659987 kappa 0.62245 kappa 0.660194 kappa 0.669818 kappa 0.688715 kappa 0.664015 kappa 0.645341 kappa 0.655822 kappa 0.614928 kappa 0.689161 kappa 0.637227 kappa 0.680462 kappa 0.657666 kappa 0.685134 kappa 0.671977 kappa 0.670056 kappa 0.653491 kappa 0.691375 kappa 0.690275 kappa 0.643143 kappa 0.661763 kappa 0.655962 kappa 0.670861 kappa 0.649609 kappa 0.676738 kappa 0.641322 kappa 0.659815 kappa 0.672602 kappa 0.674875 kappa 0.645206 kappa 0.651282 kappa 0.674072 kb_relative_information_score 531.11277 kb_relative_information_score 502.544659 kb_relative_information_score 522.505787 kb_relative_information_score 563.139665 kb_relative_information_score 532.27965 kb_relative_information_score 519.61994 kb_relative_information_score 578.550539 kb_relative_information_score 543.759881 kb_relative_information_score 550.563006 kb_relative_information_score 483.960078 kb_relative_information_score 539.735234 kb_relative_information_score 545.544291 kb_relative_information_score 555.47849 kb_relative_information_score 519.384879 kb_relative_information_score 546.880018 kb_relative_information_score 529.079735 kb_relative_information_score 532.565048 kb_relative_information_score 501.241436 kb_relative_information_score 504.561396 kb_relative_information_score 546.700314 kb_relative_information_score 552.661474 kb_relative_information_score 550.90721 kb_relative_information_score 552.224925 kb_relative_information_score 541.029668 kb_relative_information_score 520.741912 kb_relative_information_score 510.016163 kb_relative_information_score 540.932271 kb_relative_information_score 528.312565 kb_relative_information_score 548.530441 kb_relative_information_score 484.380532 kb_relative_information_score 524.795082 kb_relative_information_score 516.396028 kb_relative_information_score 499.953159 kb_relative_information_score 518.219458 kb_relative_information_score 541.206128 kb_relative_information_score 517.58599 kb_relative_information_score 498.753076 kb_relative_information_score 510.774116 kb_relative_information_score 499.672615 kb_relative_information_score 543.659031 kb_relative_information_score 497.231974 kb_relative_information_score 498.217584 kb_relative_information_score 558.91411 kb_relative_information_score 579.588445 kb_relative_information_score 521.429309 kb_relative_information_score 572.367219 kb_relative_information_score 491.268998 kb_relative_information_score 507.869581 kb_relative_information_score 541.14788 kb_relative_information_score 550.176085 kb_relative_information_score 525.346998 kb_relative_information_score 559.498568 kb_relative_information_score 575.696039 kb_relative_information_score 506.022333 kb_relative_information_score 511.477906 kb_relative_information_score 528.583572 kb_relative_information_score 542.417639 kb_relative_information_score 521.857246 kb_relative_information_score 517.854106 kb_relative_information_score 506.007706 kb_relative_information_score 521.769254 kb_relative_information_score 482.885705 kb_relative_information_score 519.066683 kb_relative_information_score 537.482947 kb_relative_information_score 516.433572 kb_relative_information_score 550.355037 kb_relative_information_score 510.101775 kb_relative_information_score 530.009053 kb_relative_information_score 528.175271 kb_relative_information_score 474.130356 kb_relative_information_score 526.394702 kb_relative_information_score 548.460746 kb_relative_information_score 546.895791 kb_relative_information_score 515.755212 kb_relative_information_score 552.035463 kb_relative_information_score 528.276983 kb_relative_information_score 467.827738 kb_relative_information_score 582.646849 kb_relative_information_score 493.128214 kb_relative_information_score 546.729966 kb_relative_information_score 505.181097 kb_relative_information_score 569.127484 kb_relative_information_score 562.853583 kb_relative_information_score 542.604483 kb_relative_information_score 495.859268 kb_relative_information_score 570.045858 kb_relative_information_score 544.912467 kb_relative_information_score 515.185255 kb_relative_information_score 522.852379 kb_relative_information_score 527.154074 kb_relative_information_score 549.316105 kb_relative_information_score 525.483919 kb_relative_information_score 548.809913 kb_relative_information_score 498.287241 kb_relative_information_score 511.181591 kb_relative_information_score 545.938336 kb_relative_information_score 555.341159 kb_relative_information_score 518.724011 kb_relative_information_score 557.805187 kb_relative_information_score 537.1957 mean_absolute_error 0.050498 mean_absolute_error 0.055247 mean_absolute_error 0.055985 mean_absolute_error 0.052157 mean_absolute_error 0.051662 mean_absolute_error 0.054936 mean_absolute_error 0.048262 mean_absolute_error 0.050931 mean_absolute_error 0.050562 mean_absolute_error 0.056824 mean_absolute_error 0.051881 mean_absolute_error 0.052608 mean_absolute_error 0.053254 mean_absolute_error 0.054228 mean_absolute_error 0.051777 mean_absolute_error 0.051272 mean_absolute_error 0.049822 mean_absolute_error 0.054648 mean_absolute_error 0.054002 mean_absolute_error 0.052993 mean_absolute_error 0.05076 mean_absolute_error 0.052005 mean_absolute_error 0.053729 mean_absolute_error 0.052822 mean_absolute_error 0.056315 mean_absolute_error 0.053708 mean_absolute_error 0.053388 mean_absolute_error 0.053419 mean_absolute_error 0.051759 mean_absolute_error 0.057855 mean_absolute_error 0.052251 mean_absolute_error 0.0562 mean_absolute_error 0.056577 mean_absolute_error 0.057593 mean_absolute_error 0.052045 mean_absolute_error 0.052934 mean_absolute_error 0.056032 mean_absolute_error 0.055229 mean_absolute_error 0.057958 mean_absolute_error 0.055856 mean_absolute_error 0.056767 mean_absolute_error 0.05424 mean_absolute_error 0.052904 mean_absolute_error 0.047774 mean_absolute_error 0.055181 mean_absolute_error 0.050844 mean_absolute_error 0.057098 mean_absolute_error 0.053572 mean_absolute_error 0.055321 mean_absolute_error 0.053069 mean_absolute_error 0.056384 mean_absolute_error 0.051019 mean_absolute_error 0.050301 mean_absolute_error 0.054353 mean_absolute_error 0.053131 mean_absolute_error 0.057766 mean_absolute_error 0.052357 mean_absolute_error 0.053437 mean_absolute_error 0.056347 mean_absolute_error 0.054768 mean_absolute_error 0.052601 mean_absolute_error 0.057503 mean_absolute_error 0.052887 mean_absolute_error 0.054558 mean_absolute_error 0.05452 mean_absolute_error 0.052054 mean_absolute_error 0.053656 mean_absolute_error 0.055994 mean_absolute_error 0.053072 mean_absolute_error 0.059729 mean_absolute_error 0.05399 mean_absolute_error 0.051622 mean_absolute_error 0.050487 mean_absolute_error 0.053128 mean_absolute_error 0.054186 mean_absolute_error 0.05444 mean_absolute_error 0.05997 mean_absolute_error 0.050352 mean_absolute_error 0.057259 mean_absolute_error 0.050645 mean_absolute_error 0.053688 mean_absolute_error 0.049794 mean_absolute_error 0.051668 mean_absolute_error 0.052411 mean_absolute_error 0.054387 mean_absolute_error 0.05034 mean_absolute_error 0.048247 mean_absolute_error 0.05605 mean_absolute_error 0.052523 mean_absolute_error 0.054351 mean_absolute_error 0.052928 mean_absolute_error 0.053364 mean_absolute_error 0.052464 mean_absolute_error 0.05539 mean_absolute_error 0.053475 mean_absolute_error 0.052141 mean_absolute_error 0.05053 mean_absolute_error 0.05524 mean_absolute_error 0.052907 mean_absolute_error 0.0509 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 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number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,91,40,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] precision 0.81966 [1,0.558442,0.56962,0.4,0.442857,0.157895,0.421053] precision 0.803975 [1,0.43038,0.465116,0.366667,0.509091,0.375,0.233333] precision 0.808282 [1,0.487179,0.513158,0.372093,0.436364,0.222222,0.411765] precision 0.824069 [1,0.588235,0.56,0.382979,0.444444,0.333333,0.368421] precision 0.823996 [1,0.53012,0.591549,0.384615,0.419753,0.380952,0.409091] precision 0.80992 [1,0.506024,0.56338,0.354839,0.430556,0.208333,0.26087] precision 0.835233 [1,0.589041,0.571429,0.5,0.507692,0.333333,0.375] precision 0.822077 [1,0.561644,0.567901,0.47619,0.393939,0.25,0.384615] precision 0.820059 [1,0.586207,0.55102,0.395349,0.466667,0.214286,0.290323] precision 0.800171 [1,0.461538,0.505618,0.314286,0.391304,0.368421,0.222222] precision 0.817419 [1,0.518987,0.526316,0.485714,0.422535,0.285714,0.363636] precision 0.823164 [1,0.567164,0.505618,0.472222,0.352941,0.555556,0.4] precision 0.817401 [1,0.608696,0.555556,0.340909,0.432432,0.181818,0.32] precision 0.811778 [1,0.533333,0.513158,0.428571,0.409836,0.227273,0.357143] precision 0.826616 [1,0.522388,0.559524,0.485714,0.478873,0.352941,0.366667] precision 0.820325 [1,0.512821,0.52439,0.5,0.424242,0.375,0.375] precision 0.827428 [1,0.605263,0.5875,0.432432,0.446154,0.222222,0.357143] precision 0.809987 [1,0.471429,0.523256,0.40625,0.41791,0.266667,0.421053] precision 0.809438 [1,0.480769,0.5,0.428571,0.453125,0.3,0.28] precision 0.816943 [1,0.515152,0.505618,0.483871,0.424658,0.333333,0.388889] precision 0.826493 [1,0.558824,0.589744,0.4375,0.419355,0.352941,0.354839] precision 0.823875 [1,0.555556,0.512195,0.434783,0.444444,0.454545,0.4] precision 0.812199 [1,0.493151,0.520548,0.372549,0.430769,0.285714,0.464286] precision 0.813086 [1,0.513889,0.53012,0.378378,0.445946,0.222222,0.413793] precision 0.797428 [1,0.54,0.515464,0.34375,0.346154,0,0.342857] precision 0.809956 [1,0.483871,0.515789,0.421053,0.380952,0.275862,0.470588] precision 0.822882 [1,0.614286,0.575,0.351351,0.465753,0.25,0.25] precision 0.813714 [1,0.546667,0.533333,0.35,0.432432,0.173913,0.470588] precision 0.827193 [1,0.584615,0.528736,0.482759,0.414286,0.461538,0.35] precision 0.796578 [1,0.463768,0.449438,0.307692,0.40625,0.35,0.304348] precision 0.821039 [1,0.53125,0.525773,0.459459,0.484848,0.294118,0.375] precision 0.810916 [1,0.517857,0.5,0.317073,0.444444,0.428571,0.3125] precision 0.802128 [1,0.527027,0.477273,0.4,0.409836,0.166667,0.272727] precision 0.795946 [1,0.424658,0.418605,0.375,0.483333,0.285714,0.290323] precision 0.818822 [1,0.605634,0.554348,0.372093,0.392857,0.269231,0.352941] precision 0.819338 [1,0.551282,0.541667,0.454545,0.4375,0.222222,0.4] precision 0.807196 [1,0.461538,0.538462,0.424242,0.387097,0.275862,0.32] precision 0.811029 [1,0.545455,0.506024,0.428571,0.384615,0.285714,0.333333] precision 0.795104 [1,0.48,0.472222,0.4,0.31746,0.25,0.304348] precision 0.801166 [1,0.479452,0.425287,0.428571,0.44,0.230769,0.413793] precision 0.796213 [1,0.507463,0.482353,0.363636,0.352113,0.090909,0.384615] precision 0.808581 [1,0.486842,0.488095,0.448276,0.444444,0.322581,0.238095] precision 0.819177 [1,0.532258,0.511111,0.439024,0.442623,0.352941,0.424242] precision 0.835655 [1,0.613333,0.6,0.4,0.418919,0.4375,0.5] precision 0.807135 [1,0.516667,0.483146,0.372093,0.455882,0.25,0.305556] precision 0.825468 [1,0.557143,0.574468,0.382353,0.428571,0.428571,0.37931] precision 0.8012 [1,0.506849,0.5,0.341463,0.396552,0.275862,0.190476] precision 0.808392 [1,0.492754,0.506173,0.380952,0.470588,0.2,0.352941] precision 0.805666 [1,0.470588,0.494253,0.4,0.403846,0.3125,0.361111] precision 0.822907 [1,0.555556,0.56,0.361702,0.42029,0.454545,0.366667] precision 0.803816 [1,0.474359,0.5,0.361111,0.45614,0.266667,0.235294] precision 0.821801 [1,0.578947,0.520408,0.384615,0.462687,0.333333,0.411765] precision 0.838545 [1,0.540541,0.561644,0.473684,0.521739,0.615385,0.378378] precision 0.814895 [1,0.486486,0.517241,0.484848,0.5,0.1875,0.333333] precision 0.818167 [1,0.573529,0.547619,0.431818,0.45283,0.142857,0.333333] precision 0.799819 [1,0.45,0.458333,0.414634,0.419355,0.230769,0.375] precision 0.823787 [1,0.567164,0.576471,0.38,0.327869,0.5,0.454545] precision 0.816154 [1,0.557377,0.58427,0.4,0.378378,0.2,0.333333] precision 0.806812 [1,0.492308,0.505882,0.27907,0.418919,0.4,0.37037] precision 0.809453 [1,0.478261,0.482759,0.515152,0.461538,0.21875,0.277778] precision 0.816515 [1,0.514706,0.52809,0.466667,0.428571,0.346154,0.285714] precision 0.801837 [1,0.517241,0.516854,0.361111,0.355263,0.285714,0.176471] precision 0.813034 [1,0.529412,0.527473,0.333333,0.405063,0.363636,0.391304] precision 0.806661 [1,0.514286,0.475,0.45283,0.446429,0.166667,0.30303] precision 0.804949 [1,0.452055,0.481928,0.439024,0.441176,0.2,0.421053] precision 0.816504 [1,0.55,0.546512,0.411765,0.435897,0.2,0.361111] precision 0.809713 [1,0.5,0.511628,0.333333,0.450704,0.333333,0.333333] precision 0.804685 [1,0.525,0.519481,0.333333,0.42623,0.15,0.291667] precision 0.816221 [1,0.581081,0.56,0.351351,0.39726,0.230769,0.368421] precision 0.795287 [1,0.535211,0.5,0.275862,0.306667,0.111111,0.45] precision 0.818451 [1,0.605634,0.571429,0.387097,0.376812,0.225806,0.32] precision 0.81745 [1,0.6,0.548077,0.368421,0.378788,0.222222,0.4375] precision 0.826378 [1,0.546667,0.576471,0.457143,0.558824,0.181818,0.266667] precision 0.817619 [1,0.569231,0.5,0.371429,0.467742,0.357143,0.333333] precision 0.808507 [1,0.5,0.505618,0.288889,0.409091,0.416667,0.4] precision 0.811552 [1,0.60274,0.512821,0.311111,0.382353,0.25,0.392857] precision 0.791658 [1,0.521739,0.432836,0.288462,0.361111,0.2,0.333333] precision 0.834023 [1,0.612903,0.569767,0.405405,0.469697,0.461538,0.375] precision 0.801896 [1,0.5,0.5125,0.275,0.409836,0.166667,0.44] precision 0.825391 [1,0.6,0.586207,0.464286,0.421053,0.227273,0.3] precision 0.814667 [1,0.512195,0.56,0.4,0.4,0.259259,0.4] precision 0.828707 [1,0.549296,0.551282,0.447368,0.53125,0.333333,0.365854] precision 0.81806 [1,0.56338,0.522222,0.418605,0.421875,0.230769,0.478261] precision 0.820199 [1,0.515152,0.52809,0.377778,0.439394,0.4,0.521739] precision 0.808998 [1,0.552632,0.558442,0.393939,0.4,0.055556,0.3] precision 0.832892 [1,0.630769,0.628205,0.4,0.457143,0.214286,0.378378] precision 0.833046 [1,0.62963,0.542056,0.575758,0.426667,0.333333,0.35] precision 0.805441 [1,0.5,0.473118,0.342857,0.438356,0.333333,0.333333] precision 0.815227 [1,0.5,0.529412,0.371429,0.461538,0.344828,0.375] precision 0.81741 [1,0.563636,0.494382,0.346154,0.453125,0.444444,0.342857] precision 0.824288 [1,0.578313,0.590909,0.348837,0.440678,0.357143,0.307692] precision 0.810582 [1,0.529412,0.518072,0.35,0.453125,0.21875,0.352941] precision 0.825085 [1,0.545455,0.571429,0.4,0.451613,0.388889,0.371429] precision 0.806212 [1,0.532258,0.511905,0.351351,0.410959,0.259259,0.238095] precision 0.816427 [1,0.59322,0.515464,0.404255,0.358491,0.391304,0.32] precision 0.820706 [1,0.538462,0.541667,0.475,0.411765,0.285714,0.4375] precision 0.824285 [1,0.580645,0.607143,0.363636,0.438596,0.222222,0.384615] precision 0.806948 [1,0.560606,0.478261,0.4,0.387097,0.272727,0.272727] precision 0.811386 [1,0.492754,0.482759,0.357143,0.394366,0.461538,0.5] precision 0.821372 [1,0.514706,0.516854,0.433333,0.48,0.363636,0.45] predictive_accuracy 0.821469 predictive_accuracy 0.80226 predictive_accuracy 0.80904 predictive_accuracy 0.821469 predictive_accuracy 0.822599 predictive_accuracy 0.80904 predictive_accuracy 0.835028 predictive_accuracy 0.822599 predictive_accuracy 0.820339 predictive_accuracy 0.79887 predictive_accuracy 0.816949 predictive_accuracy 0.818079 predictive_accuracy 0.819209 predictive_accuracy 0.811299 predictive_accuracy 0.825989 predictive_accuracy 0.819209 predictive_accuracy 0.828249 predictive_accuracy 0.80904 predictive_accuracy 0.810169 predictive_accuracy 0.816949 predictive_accuracy 0.823729 predictive_accuracy 0.822599 predictive_accuracy 0.812429 predictive_accuracy 0.816949 predictive_accuracy 0.8 predictive_accuracy 0.80904 predictive_accuracy 0.822599 predictive_accuracy 0.813559 predictive_accuracy 0.822599 predictive_accuracy 0.79661 predictive_accuracy 0.822599 predictive_accuracy 0.80791 predictive_accuracy 0.80113 predictive_accuracy 0.79661 predictive_accuracy 0.819209 predictive_accuracy 0.818079 predictive_accuracy 0.80452 predictive_accuracy 0.811299 predictive_accuracy 0.79209 predictive_accuracy 0.80452 predictive_accuracy 0.79638 predictive_accuracy 0.807692 predictive_accuracy 0.819005 predictive_accuracy 0.834842 predictive_accuracy 0.807692 predictive_accuracy 0.825792 predictive_accuracy 0.799774 predictive_accuracy 0.811086 predictive_accuracy 0.80543 predictive_accuracy 0.819005 predictive_accuracy 0.803167 predictive_accuracy 0.822398 predictive_accuracy 0.83371 predictive_accuracy 0.812217 predictive_accuracy 0.815611 predictive_accuracy 0.802036 predictive_accuracy 0.820136 predictive_accuracy 0.815611 predictive_accuracy 0.80543 predictive_accuracy 0.807692 predictive_accuracy 0.81448 predictive_accuracy 0.799774 predictive_accuracy 0.81448 predictive_accuracy 0.808824 predictive_accuracy 0.806561 predictive_accuracy 0.817873 predictive_accuracy 0.811086 predictive_accuracy 0.80543 predictive_accuracy 0.81448 predictive_accuracy 0.794118 predictive_accuracy 0.81448 predictive_accuracy 0.820136 predictive_accuracy 0.830317 predictive_accuracy 0.816742 predictive_accuracy 0.806561 predictive_accuracy 0.812217 predictive_accuracy 0.789593 predictive_accuracy 0.830317 predictive_accuracy 0.802036 predictive_accuracy 0.825792 predictive_accuracy 0.813348 predictive_accuracy 0.828054 predictive_accuracy 0.821267 predictive_accuracy 0.820136 predictive_accuracy 0.811086 predictive_accuracy 0.831448 predictive_accuracy 0.831448 predictive_accuracy 0.80543 predictive_accuracy 0.815611 predictive_accuracy 0.812217 predictive_accuracy 0.820136 predictive_accuracy 0.808824 predictive_accuracy 0.823529 predictive_accuracy 0.804299 predictive_accuracy 0.81448 predictive_accuracy 0.821267 predictive_accuracy 0.822398 predictive_accuracy 0.806561 predictive_accuracy 0.809955 predictive_accuracy 0.822398 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 recall 0.821469 [1,0.605634,0.5,0.4,0.553571,0.111111,0.4] recall 0.80226 [1,0.478873,0.444444,0.268293,0.5,0.333333,0.368421] recall 0.80904 [1,0.535211,0.433333,0.4,0.428571,0.148148,0.7] recall 0.821469 [1,0.422535,0.615385,0.45,0.428571,0.185185,0.7] recall 0.822599 [1,0.619718,0.466667,0.25,0.607143,0.296296,0.45] recall 0.80904 [1,0.591549,0.444444,0.275,0.553571,0.185185,0.3] recall 0.835028 [1,0.605634,0.533333,0.4,0.589286,0.222222,0.6] recall 0.822599 [1,0.577465,0.511111,0.5,0.464286,0.148148,0.5] recall 0.820339 [1,0.478873,0.6,0.425,0.5,0.111111,0.45] recall 0.79887 [1,0.422535,0.5,0.275,0.482143,0.259259,0.3] recall 0.816949 [1,0.577465,0.444444,0.414634,0.535714,0.222222,0.421053] recall 0.818079 [1,0.535211,0.5,0.414634,0.428571,0.185185,0.736842] recall 0.819209 [1,0.591549,0.5,0.365854,0.571429,0.074074,0.421053] recall 0.811299 [1,0.56338,0.433333,0.45,0.446429,0.185185,0.5] recall 0.825989 [1,0.492958,0.522222,0.425,0.607143,0.222222,0.55] recall 0.819209 [1,0.56338,0.477778,0.375,0.5,0.333333,0.45] recall 0.828249 [1,0.647887,0.522222,0.4,0.517857,0.148148,0.5] recall 0.80904 [1,0.464789,0.5,0.325,0.5,0.296296,0.4] recall 0.810169 [1,0.352113,0.6,0.375,0.517857,0.222222,0.35] recall 0.816949 [1,0.478873,0.5,0.375,0.553571,0.111111,0.7] recall 0.823729 [1,0.535211,0.511111,0.512195,0.464286,0.222222,0.578947] recall 0.822599 [1,0.56338,0.466667,0.487805,0.5,0.185185,0.631579] recall 0.812429 [1,0.507042,0.422222,0.463415,0.5,0.148148,0.684211] recall 0.816949 [1,0.521127,0.488889,0.35,0.589286,0.074074,0.6] recall 0.8 [1,0.380282,0.555556,0.275,0.482143,0,0.6] recall 0.80904 [1,0.422535,0.544444,0.4,0.428571,0.296296,0.4] recall 0.822599 [1,0.605634,0.511111,0.325,0.607143,0.111111,0.4] recall 0.813559 [1,0.577465,0.444444,0.35,0.571429,0.148148,0.4] recall 0.822599 [1,0.535211,0.511111,0.35,0.517857,0.222222,0.7] recall 0.79661 [1,0.450704,0.444444,0.3,0.464286,0.259259,0.35] recall 0.822599 [1,0.478873,0.56044,0.414634,0.571429,0.185185,0.473684] recall 0.80791 [1,0.408451,0.494505,0.325,0.571429,0.222222,0.5] recall 0.80113 [1,0.549296,0.461538,0.243902,0.446429,0.148148,0.473684] recall 0.79661 [1,0.43662,0.4,0.375,0.517857,0.148148,0.45] recall 0.819209 [1,0.605634,0.56044,0.4,0.392857,0.259259,0.3] recall 0.818079 [1,0.605634,0.428571,0.5,0.5,0.222222,0.4] recall 0.80452 [1,0.507042,0.461538,0.341463,0.428571,0.296296,0.421053] recall 0.811299 [1,0.591549,0.466667,0.292683,0.535714,0.222222,0.3] recall 0.79209 [1,0.507042,0.373626,0.4,0.357143,0.296296,0.35] recall 0.80452 [1,0.492958,0.406593,0.3,0.589286,0.111111,0.6] recall 0.79638 [1,0.478873,0.455556,0.3,0.446429,0.074074,0.5] recall 0.807692 [1,0.521127,0.455556,0.325,0.5,0.37037,0.25] recall 0.819005 [1,0.464789,0.511111,0.45,0.482143,0.222222,0.7] recall 0.834842 [1,0.647887,0.533333,0.341463,0.553571,0.259259,0.631579] recall 0.807692 [1,0.43662,0.477778,0.390244,0.553571,0.074074,0.578947] recall 0.825792 [1,0.549296,0.6,0.317073,0.482143,0.222222,0.578947] recall 0.799774 [1,0.521127,0.455556,0.341463,0.410714,0.296296,0.210526] recall 0.811086 [1,0.478873,0.455556,0.390244,0.571429,0.074074,0.631579] recall 0.80543 [1,0.450704,0.477778,0.439024,0.375,0.185185,0.684211] recall 0.819005 [1,0.56338,0.466667,0.414634,0.517857,0.185185,0.578947] recall 0.803167 [1,0.521127,0.466667,0.325,0.464286,0.148148,0.4] recall 0.822398 [1,0.464789,0.566667,0.375,0.553571,0.111111,0.7] recall 0.83371 [1,0.56338,0.455556,0.45,0.642857,0.296296,0.7] recall 0.812217 [1,0.507042,0.5,0.390244,0.482143,0.222222,0.421053] recall 0.815611 [1,0.549296,0.511111,0.463415,0.428571,0.148148,0.473684] recall 0.802036 [1,0.380282,0.488889,0.414634,0.464286,0.111111,0.631579] recall 0.820136 [1,0.535211,0.544444,0.463415,0.357143,0.148148,0.789474] recall 0.815611 [1,0.478873,0.577778,0.341463,0.5,0.111111,0.526316] recall 0.80543 [1,0.450704,0.477778,0.292683,0.553571,0.148148,0.526316] recall 0.807692 [1,0.464789,0.466667,0.414634,0.535714,0.259259,0.263158] recall 0.81448 [1,0.492958,0.522222,0.35,0.482143,0.333333,0.4] recall 0.799774 [1,0.422535,0.511111,0.325,0.482143,0.296296,0.15] recall 0.81448 [1,0.507042,0.533333,0.175,0.571429,0.296296,0.45] recall 0.808824 [1,0.507042,0.422222,0.585366,0.446429,0.074074,0.526316] recall 0.806561 [1,0.464789,0.444444,0.439024,0.535714,0.148148,0.421053] recall 0.817873 [1,0.464789,0.522222,0.341463,0.607143,0.074074,0.684211] recall 0.811086 [1,0.507042,0.488889,0.3,0.571429,0.185185,0.4] recall 0.80543 [1,0.591549,0.43956,0.35,0.464286,0.111111,0.368421] recall 0.81448 [1,0.605634,0.466667,0.317073,0.517857,0.222222,0.368421] recall 0.794118 [1,0.535211,0.455556,0.195122,0.410714,0.111111,0.473684] recall 0.81448 [1,0.605634,0.488889,0.3,0.464286,0.259259,0.4] recall 0.820136 [1,0.464789,0.633333,0.35,0.446429,0.074074,0.7] recall 0.830317 [1,0.577465,0.544444,0.4,0.678571,0.074074,0.4] recall 0.816742 [1,0.521127,0.5,0.325,0.517857,0.37037,0.4] recall 0.806561 [1,0.43662,0.5,0.325,0.482143,0.185185,0.6] recall 0.812217 [1,0.619718,0.444444,0.35,0.464286,0.111111,0.55] recall 0.789593 [1,0.507042,0.322222,0.375,0.464286,0.148148,0.4] recall 0.830317 [1,0.535211,0.544444,0.375,0.553571,0.222222,0.75] recall 0.802036 [1,0.521127,0.455556,0.275,0.446429,0.148148,0.55] recall 0.825792 [1,0.676056,0.566667,0.325,0.428571,0.185185,0.45] recall 0.813348 [1,0.591549,0.466667,0.2,0.571429,0.259259,0.4] recall 0.828054 [1,0.549296,0.477778,0.425,0.607143,0.148148,0.75] recall 0.821267 [1,0.56338,0.522222,0.45,0.482143,0.111111,0.55] recall 0.820136 [1,0.478873,0.522222,0.425,0.517857,0.222222,0.6] recall 0.811086 [1,0.591549,0.477778,0.325,0.571429,0.037037,0.3] recall 0.831448 [1,0.577465,0.544444,0.4,0.571429,0.111111,0.7] recall 0.831448 [1,0.478873,0.644444,0.475,0.571429,0.185185,0.35] recall 0.80543 [1,0.408451,0.488889,0.3,0.571429,0.185185,0.5] recall 0.815611 [1,0.521127,0.5,0.325,0.535714,0.37037,0.3] recall 0.812217 [1,0.43662,0.488889,0.45,0.517857,0.148148,0.6] recall 0.820136 [1,0.676056,0.433333,0.375,0.464286,0.185185,0.6] recall 0.808824 [1,0.507042,0.477778,0.35,0.517857,0.259259,0.3] recall 0.823529 [1,0.591549,0.488889,0.35,0.5,0.259259,0.65] recall 0.804299 [1,0.464789,0.477778,0.325,0.535714,0.259259,0.25] recall 0.81448 [1,0.492958,0.555556,0.475,0.339286,0.333333,0.4] recall 0.821267 [1,0.591549,0.433333,0.475,0.5,0.148148,0.7] recall 0.822398 [1,0.507042,0.566667,0.4,0.446429,0.148148,0.75] recall 0.806561 [1,0.521127,0.488889,0.4,0.428571,0.111111,0.45] recall 0.809955 [1,0.478873,0.466667,0.375,0.5,0.222222,0.55] recall 0.822398 [1,0.492958,0.511111,0.325,0.642857,0.296296,0.45] relative_absolute_error 0.324188 relative_absolute_error 0.354696 relative_absolute_error 0.359416 relative_absolute_error 0.334456 relative_absolute_error 0.331665 relative_absolute_error 0.352681 relative_absolute_error 0.309836 relative_absolute_error 0.326968 relative_absolute_error 0.324601 relative_absolute_error 0.364803 relative_absolute_error 0.333083 relative_absolute_error 0.33775 relative_absolute_error 0.341901 relative_absolute_error 0.348136 relative_absolute_error 0.332399 relative_absolute_error 0.32916 relative_absolute_error 0.319849 relative_absolute_error 0.35083 relative_absolute_error 0.346682 relative_absolute_error 0.34021 relative_absolute_error 0.325889 relative_absolute_error 0.333882 relative_absolute_error 0.344951 relative_absolute_error 0.339112 relative_absolute_error 0.361533 relative_absolute_error 0.3448 relative_absolute_error 0.342741 relative_absolute_error 0.342944 relative_absolute_error 0.332286 relative_absolute_error 0.371423 relative_absolute_error 0.335074 relative_absolute_error 0.360381 relative_absolute_error 0.36282 relative_absolute_error 0.369736 relative_absolute_error 0.333738 relative_absolute_error 0.33944 relative_absolute_error 0.35932 relative_absolute_error 0.354115 relative_absolute_error 0.371655 relative_absolute_error 0.358176 relative_absolute_error 0.364287 relative_absolute_error 0.348066 relative_absolute_error 0.339493 relative_absolute_error 0.306586 relative_absolute_error 0.354122 relative_absolute_error 0.326291 relative_absolute_error 0.366429 relative_absolute_error 0.343796 relative_absolute_error 0.355024 relative_absolute_error 0.340568 relative_absolute_error 0.361826 relative_absolute_error 0.327399 relative_absolute_error 0.322794 relative_absolute_error 0.348811 relative_absolute_error 0.340965 relative_absolute_error 0.37071 relative_absolute_error 0.336001 relative_absolute_error 0.342933 relative_absolute_error 0.361604 relative_absolute_error 0.351471 relative_absolute_error 0.337549 relative_absolute_error 0.369006 relative_absolute_error 0.339388 relative_absolute_error 0.350125 relative_absolute_error 0.349884 relative_absolute_error 0.334057 relative_absolute_error 0.344318 relative_absolute_error 0.359385 relative_absolute_error 0.340592 relative_absolute_error 0.383311 relative_absolute_error 0.346467 relative_absolute_error 0.331265 relative_absolute_error 0.323986 relative_absolute_error 0.340931 relative_absolute_error 0.347723 relative_absolute_error 0.34935 relative_absolute_error 0.384838 relative_absolute_error 0.32312 relative_absolute_error 0.367444 relative_absolute_error 0.324997 relative_absolute_error 0.344524 relative_absolute_error 0.319539 relative_absolute_error 0.331566 relative_absolute_error 0.336334 relative_absolute_error 0.349013 relative_absolute_error 0.323041 relative_absolute_error 0.309612 relative_absolute_error 0.359685 relative_absolute_error 0.33705 relative_absolute_error 0.348782 relative_absolute_error 0.339648 relative_absolute_error 0.342443 relative_absolute_error 0.336673 relative_absolute_error 0.35545 relative_absolute_error 0.343158 relative_absolute_error 0.334596 relative_absolute_error 0.324261 relative_absolute_error 0.354484 relative_absolute_error 0.339513 relative_absolute_error 0.326634 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279317 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279034 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_squared_error 0.215694 root_mean_squared_error 0.223462 root_mean_squared_error 0.217964 root_mean_squared_error 0.201166 root_mean_squared_error 0.21387 root_mean_squared_error 0.218122 root_mean_squared_error 0.200442 root_mean_squared_error 0.210461 root_mean_squared_error 0.207285 root_mean_squared_error 0.23207 root_mean_squared_error 0.212036 root_mean_squared_error 0.210039 root_mean_squared_error 0.203546 root_mean_squared_error 0.219464 root_mean_squared_error 0.209059 root_mean_squared_error 0.218484 root_mean_squared_error 0.215853 root_mean_squared_error 0.226433 root_mean_squared_error 0.224397 root_mean_squared_error 0.212727 root_mean_squared_error 0.206239 root_mean_squared_error 0.209582 root_mean_squared_error 0.207375 root_mean_squared_error 0.213008 root_mean_squared_error 0.217716 root_mean_squared_error 0.223252 root_mean_squared_error 0.206418 root_mean_squared_error 0.214515 root_mean_squared_error 0.210457 root_mean_squared_error 0.232182 root_mean_squared_error 0.21904 root_mean_squared_error 0.220211 root_mean_squared_error 0.22424 root_mean_squared_error 0.22235 root_mean_squared_error 0.209787 root_mean_squared_error 0.222619 root_mean_squared_error 0.228828 root_mean_squared_error 0.221658 root_mean_squared_error 0.226641 root_mean_squared_error 0.210219 root_mean_squared_error 0.225483 root_mean_squared_error 0.226958 root_mean_squared_error 0.203604 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