256597 2 Joaquin Vanschoren 4218 Supervised Classification predictive_accuracy 1191 weka.LogitBoost_DecisionStump(3) 2043 weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump P 100 1191 L -1.7976931348623157E308 1191 H 1.0 1191 Z 3.0 1191 O 1 1191 E 1 1191 S 1 1191 I 40 1191 W weka.classifiers.trees.DecisionStump 1191 weka weka_3.7.12 378 ipums_la_99-small https://www.openml.org/data/download/52418/ipums_la_99-small.arff -1 858028 description https://api.openml.org/data/download/858028/weka_generated_run5019017130535676642.xml -1 858031 model_readable https://api.openml.org/data/download/858031/WekaModel_weka.classifiers.meta.LogitBoost6144930828004081742.model -1 858030 model_serialized https://api.openml.org/data/download/858030/WekaSerialized_weka.classifiers.meta.LogitBoost7024875957793337896.model -1 858029 predictions https://api.openml.org/data/download/858029/weka_generated_predictions3159959276585645790.arff area_under_roc_curve 0.98136 [1,0.956907,0.936984,0.939843,0.939969,0.944793,0.976067] average_cost 0 f_measure 0.815581 [1,0.532172,0.531515,0.378628,0.453258,0.201475,0.46929] kappa 0.663977 kb_relative_information_score 59360.556128 mean_absolute_error 0.059894 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, 3.16.0-29-generic] precision 0.816632 [1,0.564633,0.530956,0.392439,0.39673,0.266789,0.44495] predictive_accuracy 0.816893 prior_entropy 1.759357 recall 0.816893 [1,0.503239,0.532075,0.365757,0.528571,0.161852,0.496447] relative_absolute_error 0.384373 root_mean_prior_squared_error 0.279062 root_mean_squared_error 0.179012 root_relative_squared_error 0.641478 scimark_benchmark 1350.470181 [801.2129551324673, 1000.4958509626932, 539.297736642617, 1101.4453251889015, 3309.899037725743] total_cost 0 usercpu_time_millis 3320 usercpu_time_millis_testing 20 usercpu_time_millis_training 3300 area_under_roc_curve 0.983208 [1,0.967592,0.946136,0.942426,0.94141,0.932185,0.985145] area_under_roc_curve 0.981059 [1,0.944588,0.944773,0.922119,0.951189,0.949085,0.970676] area_under_roc_curve 0.981138 [1,0.953421,0.940391,0.92966,0.939546,0.946257,0.981445] area_under_roc_curve 0.981749 [1,0.952011,0.940806,0.935888,0.943402,0.954502,0.980202] area_under_roc_curve 0.981778 [1,0.956726,0.934829,0.943343,0.944824,0.95025,0.975549] area_under_roc_curve 0.980565 [1,0.952435,0.940426,0.922944,0.94463,0.944855,0.96052] area_under_roc_curve 0.983002 [1,0.956985,0.940335,0.953166,0.952772,0.937128,0.979827] area_under_roc_curve 0.982162 [1,0.959892,0.93522,0.951583,0.940085,0.94943,0.977428] area_under_roc_curve 0.982373 [1,0.963327,0.938218,0.942988,0.948044,0.938077,0.971301] area_under_roc_curve 0.981145 [1,0.956362,0.94689,0.933432,0.932319,0.933739,0.971676] area_under_roc_curve 0.98162 [1,0.955142,0.939301,0.948387,0.933752,0.945847,0.982588] area_under_roc_curve 0.980035 [1,0.958508,0.92601,0.941076,0.934161,0.941898,0.979367] area_under_roc_curve 0.980656 [1,0.95901,0.9316,0.947853,0.938943,0.925559,0.974414] area_under_roc_curve 0.978622 [1,0.950912,0.921118,0.943092,0.928022,0.940171,0.979364] area_under_roc_curve 0.98175 [1,0.959148,0.947212,0.927041,0.938265,0.943797,0.969653] area_under_roc_curve 0.982384 [1,0.961622,0.936352,0.952959,0.943639,0.945135,0.969104] area_under_roc_curve 0.983604 [1,0.964763,0.943606,0.942544,0.947796,0.948718,0.983642] area_under_roc_curve 0.982126 [1,0.947399,0.945325,0.932485,0.946978,0.955689,0.985173] area_under_roc_curve 0.983468 [1,0.958499,0.949238,0.953994,0.936789,0.951653,0.978497] area_under_roc_curve 0.983064 [1,0.963292,0.939839,0.94858,0.94631,0.944466,0.979769] area_under_roc_curve 0.980396 [1,0.952002,0.93731,0.948084,0.928184,0.934732,0.97964] area_under_roc_curve 0.981409 [1,0.962193,0.931111,0.942781,0.935669,0.954481,0.979397] area_under_roc_curve 0.979408 [1,0.946569,0.928609,0.949269,0.927225,0.944337,0.981737] area_under_roc_curve 0.980347 [1,0.953732,0.935514,0.933683,0.934377,0.942545,0.978728] area_under_roc_curve 0.981951 [1,0.96318,0.937987,0.945399,0.938232,0.937192,0.978035] area_under_roc_curve 0.985518 [1,0.967886,0.952236,0.959926,0.94589,0.95379,0.982168] area_under_roc_curve 0.980283 [1,0.958958,0.929839,0.934438,0.942271,0.939264,0.963699] area_under_roc_curve 0.982091 [1,0.964045,0.936981,0.936642,0.941948,0.948524,0.977514] area_under_roc_curve 0.982468 [1,0.96465,0.934577,0.948905,0.93834,0.959553,0.973555] area_under_roc_curve 0.97793 [1,0.950298,0.926813,0.915251,0.930521,0.939049,0.975491] area_under_roc_curve 0.98313 [1,0.960091,0.943304,0.940325,0.947872,0.959207,0.975264] area_under_roc_curve 0.979547 [1,0.953075,0.930412,0.926198,0.935357,0.943473,0.983064] area_under_roc_curve 0.981964 [1,0.963785,0.939893,0.938273,0.940246,0.943279,0.973016] area_under_roc_curve 0.981912 [1,0.951301,0.940636,0.960562,0.937769,0.938185,0.976185] area_under_roc_curve 0.981789 [1,0.96157,0.937028,0.93574,0.946816,0.939264,0.976532] area_under_roc_curve 0.980805 [1,0.953801,0.934979,0.95213,0.936089,0.931192,0.978035] area_under_roc_curve 0.982445 [1,0.953992,0.941913,0.940527,0.951092,0.945416,0.982497] area_under_roc_curve 0.981359 [1,0.960999,0.932767,0.949124,0.938577,0.941121,0.971908] area_under_roc_curve 0.982398 [1,0.959286,0.948418,0.944083,0.929153,0.959682,0.964971] area_under_roc_curve 0.979605 [1,0.950064,0.919188,0.953269,0.93904,0.942092,0.984827] area_under_roc_curve 0.979952 [1,0.961237,0.931871,0.948015,0.910876,0.946108,0.984317] area_under_roc_curve 0.982968 [1,0.962909,0.942093,0.950059,0.937263,0.957647,0.972164] area_under_roc_curve 0.981399 [1,0.958613,0.934299,0.927547,0.941986,0.956545,0.986429] area_under_roc_curve 0.982273 [1,0.964823,0.941086,0.932818,0.936691,0.953628,0.983207] area_under_roc_curve 0.982107 [1,0.965334,0.937937,0.933802,0.940843,0.949695,0.979738] area_under_roc_curve 0.981821 [1,0.952567,0.941128,0.935972,0.940897,0.961602,0.977244] area_under_roc_curve 0.981438 [1,0.954299,0.934999,0.945751,0.941209,0.951143,0.97484] area_under_roc_curve 0.979688 [1,0.9429,0.931066,0.928478,0.946288,0.951057,0.977061] area_under_roc_curve 0.982084 [1,0.956516,0.942541,0.947921,0.934696,0.942305,0.987953] area_under_roc_curve 0.980888 [1,0.954334,0.93178,0.942077,0.933273,0.958079,0.985823] area_under_roc_curve 0.980314 [1,0.948305,0.941324,0.920098,0.935796,0.956545,0.975694] area_under_roc_curve 0.982291 [1,0.960847,0.936524,0.95234,0.940627,0.946929,0.975116] area_under_roc_curve 0.982333 [1,0.960761,0.937629,0.930258,0.952079,0.9554,0.972946] area_under_roc_curve 0.981206 [1,0.952532,0.936118,0.936261,0.950699,0.945071,0.966474] area_under_roc_curve 0.981388 [1,0.957244,0.935908,0.953303,0.940541,0.92705,0.977122] area_under_roc_curve 0.978333 [1,0.942631,0.920998,0.924399,0.941145,0.954579,0.981685] area_under_roc_curve 0.978764 [1,0.948877,0.927267,0.9371,0.926027,0.941743,0.984089] area_under_roc_curve 0.983882 [1,0.960258,0.950966,0.958858,0.9408,0.944034,0.973654] area_under_roc_curve 0.980614 [1,0.949509,0.941499,0.935046,0.940368,0.934245,0.973197] area_under_roc_curve 0.981451 [1,0.945983,0.940372,0.96233,0.941932,0.936406,0.964101] area_under_roc_curve 0.98128 [1,0.952653,0.937091,0.928051,0.951346,0.949803,0.971644] area_under_roc_curve 0.98112 [1,0.961852,0.934635,0.934938,0.942708,0.937724,0.969676] area_under_roc_curve 0.982149 [1,0.956309,0.950252,0.938655,0.93901,0.93323,0.973553] area_under_roc_curve 0.982003 [1,0.966157,0.932207,0.962474,0.935343,0.940771,0.965987] area_under_roc_curve 0.980366 [1,0.950418,0.929387,0.940399,0.935408,0.96212,0.979099] area_under_roc_curve 0.983018 [1,0.958855,0.941366,0.951972,0.946601,0.941787,0.985154] area_under_roc_curve 0.981576 [1,0.95203,0.947103,0.928243,0.936087,0.954773,0.977517] area_under_roc_curve 0.979482 [1,0.953008,0.931537,0.918957,0.937629,0.949695,0.97481] area_under_roc_curve 0.982649 [1,0.965958,0.934383,0.945086,0.943388,0.9605,0.972254] area_under_roc_curve 0.979732 [1,0.953554,0.932487,0.93195,0.933909,0.935563,0.983572] area_under_roc_curve 0.980539 [1,0.962407,0.927456,0.936523,0.943118,0.931155,0.978906] area_under_roc_curve 0.982432 [1,0.962805,0.939617,0.95314,0.93185,0.94546,0.985417] area_under_roc_curve 0.980224 [1,0.952324,0.933704,0.932316,0.944477,0.938156,0.967824] area_under_roc_curve 0.979674 [1,0.957105,0.933781,0.937559,0.929822,0.928908,0.969213] area_under_roc_curve 0.981362 [1,0.953623,0.940883,0.940033,0.932734,0.957799,0.972135] area_under_roc_curve 0.979924 [1,0.969094,0.926686,0.926836,0.926609,0.94479,0.978646] area_under_roc_curve 0.979521 [1,0.967691,0.920921,0.944431,0.922835,0.93928,0.974537] area_under_roc_curve 0.982222 [1,0.960847,0.941478,0.947127,0.937921,0.944444,0.971123] area_under_roc_curve 0.98094 [1,0.95449,0.938189,0.940507,0.944089,0.926531,0.971991] area_under_roc_curve 0.981875 [1,0.961818,0.940736,0.944017,0.936616,0.941743,0.969213] area_under_roc_curve 0.98133 [1,0.955148,0.939826,0.928303,0.945566,0.945849,0.973698] area_under_roc_curve 0.982965 [1,0.952411,0.944654,0.944091,0.949965,0.950516,0.983767] area_under_roc_curve 0.982544 [1,0.960172,0.935887,0.955924,0.938082,0.956437,0.978675] area_under_roc_curve 0.983422 [1,0.961315,0.944696,0.949852,0.946385,0.945503,0.977431] area_under_roc_curve 0.98011 [1,0.947491,0.92691,0.945498,0.948348,0.937184,0.974624] area_under_roc_curve 0.981912 [1,0.958561,0.937154,0.941143,0.944682,0.940144,0.983854] area_under_roc_curve 0.983546 [1,0.962372,0.945844,0.944727,0.938816,0.96668,0.976852] area_under_roc_curve 0.978931 [1,0.954143,0.93283,0.932272,0.933586,0.918493,0.965278] area_under_roc_curve 0.979972 [1,0.948859,0.937084,0.911256,0.946342,0.944812,0.981655] area_under_roc_curve 0.982306 [1,0.964512,0.937895,0.933101,0.950084,0.946562,0.969097] area_under_roc_curve 0.981569 [1,0.959808,0.933403,0.940581,0.950505,0.942262,0.963079] area_under_roc_curve 0.981158 [1,0.957911,0.941653,0.923193,0.94479,0.940555,0.967622] area_under_roc_curve 0.982045 [1,0.954576,0.940078,0.945883,0.940983,0.949242,0.979282] area_under_roc_curve 0.981589 [1,0.955737,0.939617,0.934257,0.948391,0.938459,0.974161] area_under_roc_curve 0.980828 [1,0.954178,0.931458,0.93981,0.942514,0.950668,0.971644] area_under_roc_curve 0.981318 [1,0.9574,0.93073,0.950148,0.941684,0.941052,0.979745] area_under_roc_curve 0.981625 [1,0.957452,0.949496,0.918898,0.940616,0.943126,0.971383] area_under_roc_curve 0.980374 [1,0.959392,0.925623,0.947838,0.93502,0.94425,0.972917] area_under_roc_curve 0.980439 [1,0.960622,0.929891,0.933146,0.936012,0.938372,0.986748] area_under_roc_curve 0.982745 [1,0.956014,0.941562,0.941321,0.947119,0.951813,0.986921] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.824567 [1,0.619718,0.564972,0.358974,0.421875,0.208333,0.514286] f_measure 0.807024 [1,0.449275,0.52459,0.297297,0.507692,0.190476,0.439024] f_measure 0.813151 [1,0.492537,0.5,0.415584,0.48062,0.173913,0.521739] f_measure 0.82645 [1,0.528,0.59375,0.415584,0.466165,0.238095,0.536585] f_measure 0.827796 [1,0.546763,0.514286,0.512821,0.536585,0.227273,0.489796] f_measure 0.814149 [1,0.524823,0.556818,0.358974,0.467742,0.139535,0.391304] f_measure 0.81941 [1,0.492754,0.5,0.438356,0.519685,0.222222,0.577778] f_measure 0.81576 [1,0.483871,0.559585,0.390244,0.469697,0.25,0.378378] f_measure 0.822037 [1,0.545455,0.554348,0.5,0.552239,0.097561,0.216216] f_measure 0.815305 [1,0.541353,0.565217,0.383562,0.424242,0.139535,0.418605] f_measure 0.817528 [1,0.517986,0.539326,0.45,0.427481,0.205128,0.487805] f_measure 0.815646 [1,0.537313,0.513966,0.433735,0.448,0.157895,0.489796] f_measure 0.822965 [1,0.586466,0.569832,0.365854,0.477612,0.212766,0.363636] f_measure 0.802789 [1,0.492537,0.470588,0.314286,0.4,0.217391,0.565217] f_measure 0.822086 [1,0.556391,0.582418,0.309859,0.476923,0.212766,0.488889] f_measure 0.826126 [1,0.534351,0.559585,0.463768,0.515152,0.222222,0.421053] f_measure 0.836112 [1,0.591549,0.548571,0.382353,0.549618,0.355556,0.595745] f_measure 0.814684 [1,0.521739,0.52809,0.329114,0.430769,0.238095,0.585366] f_measure 0.820134 [1,0.558824,0.548571,0.373333,0.469697,0.102564,0.588235] f_measure 0.820179 [1,0.561151,0.531792,0.383562,0.447761,0.205128,0.56] f_measure 0.807354 [1,0.558824,0.533333,0.361446,0.383562,0.04878,0.432432] f_measure 0.805572 [1,0.529412,0.472527,0.311688,0.424242,0.232558,0.473684] f_measure 0.811207 [1,0.462687,0.477273,0.426966,0.449612,0.238095,0.631579] f_measure 0.804224 [1,0.54902,0.497041,0.273973,0.427481,0.054054,0.533333] f_measure 0.813481 [1,0.539683,0.568306,0.30137,0.421769,0.190476,0.432432] f_measure 0.830491 [1,0.601504,0.617021,0.371429,0.461538,0.297872,0.35] f_measure 0.810423 [1,0.534351,0.538462,0.342105,0.463768,0.136364,0.324324] f_measure 0.823692 [1,0.58209,0.542373,0.358974,0.481752,0.181818,0.578947] f_measure 0.826479 [1,0.548148,0.530387,0.470588,0.441176,0.408163,0.461538] f_measure 0.805651 [1,0.48,0.550265,0.288889,0.428571,0.105263,0.5] f_measure 0.828749 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[1,0.511278,0.502732,0.384615,0.394161,0.095238,0.457143] f_measure 0.806598 [1,0.542636,0.519337,0.298851,0.422764,0.045455,0.545455] f_measure 0.822829 [1,0.565217,0.547368,0.506667,0.380165,0.195122,0.55814] f_measure 0.803126 [1,0.478873,0.5,0.4,0.476923,0.1,0.277778] f_measure 0.803237 [1,0.517986,0.511628,0.35443,0.359375,0.081633,0.536585] f_measure 0.805701 [1,0.467742,0.530387,0.282051,0.405797,0.32,0.432432] f_measure 0.804064 [1,0.611111,0.470588,0.309524,0.37594,0.15,0.378378] f_measure 0.801035 [1,0.553846,0.436782,0.409091,0.394161,0.162162,0.333333] f_measure 0.808953 [1,0.496,0.562162,0.285714,0.412698,0.227273,0.431373] f_measure 0.809019 [1,0.525547,0.522727,0.338028,0.452555,0.139535,0.409091] f_measure 0.816352 [1,0.571429,0.557377,0.388889,0.448,0.12766,0.341463] f_measure 0.813742 [1,0.510949,0.513966,0.285714,0.510638,0.304348,0.428571] f_measure 0.823983 [1,0.569343,0.552941,0.363636,0.515152,0.15,0.538462] f_measure 0.809336 [1,0.503704,0.48913,0.388889,0.496241,0.146341,0.418605] f_measure 0.819347 [1,0.542636,0.580645,0.357143,0.481752,0.105263,0.470588] f_measure 0.790954 [1,0.439394,0.467391,0.296296,0.45,0,0.444444] f_measure 0.815605 [1,0.508197,0.55914,0.4,0.432836,0.146341,0.52] f_measure 0.822987 [1,0.605634,0.594286,0.25,0.459259,0.205128,0.488889] f_measure 0.805868 [1,0.550725,0.502924,0.358974,0.396694,0.115385,0.416667] f_measure 0.814706 [1,0.524138,0.5,0.282051,0.515152,0.3,0.487805] f_measure 0.821873 [1,0.586466,0.543353,0.361446,0.484375,0.27451,0.35] f_measure 0.817208 [1,0.529412,0.494253,0.358974,0.551181,0.227273,0.44898] f_measure 0.82386 [1,0.528,0.554348,0.361446,0.518519,0.367347,0.375] f_measure 0.810633 [1,0.532374,0.541176,0.35443,0.439394,0.177778,0.325581] f_measure 0.817824 [1,0.60274,0.518987,0.423529,0.485714,0.090909,0.342857] f_measure 0.807516 [1,0.484848,0.505263,0.394737,0.416,0.146341,0.545455] f_measure 0.823069 [1,0.550725,0.505747,0.472222,0.514286,0.142857,0.571429] f_measure 0.821339 [1,0.552239,0.582857,0.37037,0.409449,0.212766,0.545455] f_measure 0.801801 [1,0.519084,0.505376,0.382022,0.307692,0.227273,0.390244] f_measure 0.805943 [1,0.53125,0.554974,0.305882,0.347107,0.181818,0.410256] f_measure 0.83287 [1,0.58209,0.576271,0.414634,0.472441,0.285714,0.615385] kappa 0.678275 kappa 0.651164 kappa 0.659974 kappa 0.6851 kappa 0.686946 kappa 0.661908 kappa 0.672165 kappa 0.665531 kappa 0.680211 kappa 0.663714 kappa 0.667898 kappa 0.666099 kappa 0.676217 kappa 0.640905 kappa 0.676339 kappa 0.68413 kappa 0.703359 kappa 0.661737 kappa 0.676522 kappa 0.674414 kappa 0.647507 kappa 0.644957 kappa 0.655649 kappa 0.649272 kappa 0.659478 kappa 0.690573 kappa 0.655378 kappa 0.67836 kappa 0.680338 kappa 0.647082 kappa 0.689477 kappa 0.648108 kappa 0.666614 kappa 0.641049 kappa 0.662203 kappa 0.679216 kappa 0.658508 kappa 0.67074 kappa 0.665263 kappa 0.654245 kappa 0.651275 kappa 0.682391 kappa 0.666143 kappa 0.669884 kappa 0.674227 kappa 0.686512 kappa 0.672157 kappa 0.659958 kappa 0.674114 kappa 0.6369 kappa 0.651088 kappa 0.670003 kappa 0.692938 kappa 0.667799 kappa 0.676324 kappa 0.630516 kappa 0.646819 kappa 0.680376 kappa 0.65523 kappa 0.665784 kappa 0.66544 kappa 0.659499 kappa 0.663464 kappa 0.676148 kappa 0.658863 kappa 0.680364 kappa 0.657406 kappa 0.644471 kappa 0.688751 kappa 0.642679 kappa 0.647377 kappa 0.677919 kappa 0.644738 kappa 0.639135 kappa 0.643105 kappa 0.643004 kappa 0.636975 kappa 0.651538 kappa 0.653408 kappa 0.665657 kappa 0.663615 kappa 0.682837 kappa 0.655225 kappa 0.673766 kappa 0.620278 kappa 0.665945 kappa 0.68031 kappa 0.643594 kappa 0.663732 kappa 0.672427 kappa 0.668251 kappa 0.678194 kappa 0.653672 kappa 0.670326 kappa 0.651022 kappa 0.680364 kappa 0.67236 kappa 0.63677 kappa 0.644855 kappa 0.692971 kb_relative_information_score 606.243213 kb_relative_information_score 589.266067 kb_relative_information_score 593.04152 kb_relative_information_score 599.454293 kb_relative_information_score 599.191357 kb_relative_information_score 583.403609 kb_relative_information_score 609.997077 kb_relative_information_score 598.988443 kb_relative_information_score 601.584271 kb_relative_information_score 583.735498 kb_relative_information_score 594.156948 kb_relative_information_score 585.42781 kb_relative_information_score 588.124784 kb_relative_information_score 575.712909 kb_relative_information_score 592.158481 kb_relative_information_score 599.012893 kb_relative_information_score 612.003822 kb_relative_information_score 603.056547 kb_relative_information_score 603.317141 kb_relative_information_score 607.41983 kb_relative_information_score 585.306085 kb_relative_information_score 596.943232 kb_relative_information_score 583.261665 kb_relative_information_score 587.423388 kb_relative_information_score 596.704122 kb_relative_information_score 621.303697 kb_relative_information_score 580.674948 kb_relative_information_score 598.60435 kb_relative_information_score 601.85523 kb_relative_information_score 567.888225 kb_relative_information_score 608.456242 kb_relative_information_score 583.04588 kb_relative_information_score 597.008731 kb_relative_information_score 592.926082 kb_relative_information_score 596.386065 kb_relative_information_score 591.368888 kb_relative_information_score 602.693981 kb_relative_information_score 595.142726 kb_relative_information_score 596.373561 kb_relative_information_score 588.930244 kb_relative_information_score 586.767301 kb_relative_information_score 607.860997 kb_relative_information_score 600.09527 kb_relative_information_score 599.631344 kb_relative_information_score 602.28158 kb_relative_information_score 598.916833 kb_relative_information_score 594.356106 kb_relative_information_score 585.637051 kb_relative_information_score 603.537282 kb_relative_information_score 593.618439 kb_relative_information_score 584.780055 kb_relative_information_score 600.513979 kb_relative_information_score 601.735457 kb_relative_information_score 587.965249 kb_relative_information_score 593.050239 kb_relative_information_score 575.97717 kb_relative_information_score 576.785053 kb_relative_information_score 605.9484 kb_relative_information_score 584.633587 kb_relative_information_score 592.46629 kb_relative_information_score 587.835341 kb_relative_information_score 591.286535 kb_relative_information_score 593.807174 kb_relative_information_score 596.537059 kb_relative_information_score 589.013779 kb_relative_information_score 604.710207 kb_relative_information_score 593.27709 kb_relative_information_score 578.919715 kb_relative_information_score 605.998447 kb_relative_information_score 584.501589 kb_relative_information_score 584.344257 kb_relative_information_score 599.11033 kb_relative_information_score 584.315799 kb_relative_information_score 577.95819 kb_relative_information_score 592.990588 kb_relative_information_score 583.117199 kb_relative_information_score 581.253177 kb_relative_information_score 600.556398 kb_relative_information_score 589.493627 kb_relative_information_score 594.130766 kb_relative_information_score 590.716436 kb_relative_information_score 605.850317 kb_relative_information_score 600.052897 kb_relative_information_score 607.8999 kb_relative_information_score 583.137545 kb_relative_information_score 596.209832 kb_relative_information_score 607.586447 kb_relative_information_score 572.368497 kb_relative_information_score 583.460794 kb_relative_information_score 596.460113 kb_relative_information_score 590.349885 kb_relative_information_score 587.134553 kb_relative_information_score 597.905491 kb_relative_information_score 592.821203 kb_relative_information_score 592.828695 kb_relative_information_score 595.17416 kb_relative_information_score 592.052985 kb_relative_information_score 587.663297 kb_relative_information_score 588.84653 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mean_absolute_error 0.059968 mean_absolute_error 0.059667 mean_absolute_error 0.060291 mean_absolute_error 0.059348 mean_absolute_error 0.059875 mean_absolute_error 0.06038 mean_absolute_error 0.060976 mean_absolute_error 0.060933 mean_absolute_error 0.058458 mean_absolute_error 0.059597 mean_absolute_error 0.05929 mean_absolute_error 0.058567 mean_absolute_error 0.059921 mean_absolute_error 0.060369 mean_absolute_error 0.061453 mean_absolute_error 0.059022 mean_absolute_error 0.060226 mean_absolute_error 0.060649 mean_absolute_error 0.059859 mean_absolute_error 0.058522 mean_absolute_error 0.060533 mean_absolute_error 0.059843 mean_absolute_error 0.061641 mean_absolute_error 0.061594 mean_absolute_error 0.058253 mean_absolute_error 0.061252 mean_absolute_error 0.060315 mean_absolute_error 0.059797 mean_absolute_error 0.060358 mean_absolute_error 0.059556 mean_absolute_error 0.059238 mean_absolute_error 0.060372 mean_absolute_error 0.058501 mean_absolute_error 0.059117 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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 0.825864 [1,0.619718,0.574713,0.368421,0.375,0.238095,0.6] precision 0.806683 [1,0.462687,0.516129,0.333333,0.445946,0.266667,0.409091] precision 0.813819 [1,0.52381,0.511628,0.432432,0.424658,0.210526,0.461538] precision 0.829451 [1,0.611111,0.564356,0.432432,0.402597,0.333333,0.52381] precision 0.828447 [1,0.558824,0.529412,0.526316,0.492537,0.294118,0.413793] precision 0.814025 [1,0.528571,0.569767,0.368421,0.426471,0.1875,0.346154] precision 0.819607 [1,0.507463,0.5,0.484848,0.464789,0.277778,0.52] precision 0.819292 [1,0.566038,0.524272,0.380952,0.407895,0.384615,0.411765] precision 0.821309 [1,0.590164,0.542553,0.5,0.474359,0.142857,0.235294] precision 0.816387 [1,0.580645,0.553191,0.424242,0.368421,0.1875,0.391304] precision 0.819373 [1,0.529412,0.545455,0.461538,0.373333,0.333333,0.454545] precision 0.817342 [1,0.571429,0.516854,0.428571,0.405797,0.272727,0.4] precision 0.824973 [1,0.629032,0.573034,0.365854,0.410256,0.25,0.428571] precision 0.803477 [1,0.52381,0.453608,0.366667,0.362319,0.263158,0.5] precision 0.823075 [1,0.596774,0.576087,0.354839,0.418919,0.25,0.44] precision 0.828375 [1,0.583333,0.524272,0.551724,0.447368,0.277778,0.444444] precision 0.838017 [1,0.591549,0.564706,0.464286,0.48,0.444444,0.518519] precision 0.81601 [1,0.537313,0.534091,0.333333,0.378378,0.333333,0.571429] precision 0.820735 [1,0.584615,0.564706,0.4,0.407895,0.166667,0.483871] precision 0.823098 [1,0.573529,0.554217,0.424242,0.384615,0.333333,0.466667] precision 0.811012 [1,0.584615,0.586667,0.357143,0.311111,0.071429,0.444444] precision 0.80692 [1,0.553846,0.467391,0.333333,0.368421,0.3125,0.473684] precision 0.812843 [1,0.492063,0.488372,0.395833,0.39726,0.333333,0.631579] precision 0.802872 [1,0.512195,0.531646,0.30303,0.373333,0.1,0.48] precision 0.818345 [1,0.618182,0.55914,0.333333,0.340659,0.266667,0.470588] precision 0.832269 [1,0.645161,0.591837,0.433333,0.405405,0.35,0.35] precision 0.811834 [1,0.583333,0.532609,0.361111,0.390244,0.176471,0.352941] precision 0.825689 [1,0.619048,0.551724,0.368421,0.407407,0.235294,0.611111] precision 0.830647 [1,0.578125,0.527473,0.571429,0.375,0.454545,0.473684] precision 0.807487 [1,0.555556,0.525253,0.26,0.385714,0.181818,0.5] precision 0.833039 [1,0.569444,0.590361,0.433333,0.426829,0.5,0.416667] precision 0.809516 [1,0.529412,0.5,0.333333,0.375,0.333333,0.5] precision 0.817928 [1,0.639344,0.553191,0.361111,0.386667,0.176471,0.363636] precision 0.803842 [1,0.465517,0.489796,0.470588,0.373134,0.2,0.407407] precision 0.816277 [1,0.575758,0.494949,0.357143,0.40625,0.35,0.5] precision 0.827718 [1,0.649123,0.556818,0.446809,0.4,0.277778,0.4] precision 0.809789 [1,0.515152,0.516854,0.355556,0.462687,0.142857,0.458333] precision 0.817318 [1,0.550725,0.536585,0.44186,0.425287,0.222222,0.4] precision 0.822423 [1,0.60274,0.619718,0.311111,0.328767,0.333333,0.44] precision 0.809414 [1,0.52459,0.430108,0.485714,0.421053,0.176471,0.608696] precision 0.811254 [1,0.625,0.49,0.434783,0.262295,0.210526,0.545455] precision 0.831549 [1,0.629032,0.586957,0.535714,0.346154,0.304348,0.428571] precision 0.819204 [1,0.571429,0.516129,0.377778,0.396825,0.35,0.518519] precision 0.821617 [1,0.611111,0.595238,0.344828,0.333333,0.3,0.444444] precision 0.822146 [1,0.590909,0.542169,0.405405,0.402439,0.3,0.461538] precision 0.828844 [1,0.521739,0.526316,0.470588,0.45,0.5,0.541667] precision 0.822596 [1,0.557143,0.52439,0.527778,0.402597,0.333333,0.380952] precision 0.811881 [1,0.487179,0.5,0.461538,0.452055,0.25,0.375] precision 0.821194 [1,0.571429,0.56383,0.371429,0.376812,0.3125,0.518519] precision 0.802853 [1,0.516667,0.482353,0.3125,0.35,0.285714,0.5] precision 0.811351 [1,0.559322,0.535354,0.292683,0.352941,0.388889,0.368421] precision 0.818446 [1,0.580645,0.544444,0.472222,0.402597,0.153846,0.384615] precision 0.833655 [1,0.590164,0.527473,0.485714,0.5,0.444444,0.407407] precision 0.818699 [1,0.529412,0.527473,0.4375,0.424658,0.357143,0.384615] precision 0.82423 [1,0.614035,0.526882,0.487805,0.394366,0.25,0.461538] precision 0.79681 [1,0.413793,0.431579,0.341463,0.43662,0.333333,0.458333] precision 0.809285 [1,0.538462,0.461538,0.405405,0.351351,0.294118,0.6] precision 0.829863 [1,0.62,0.578431,0.484848,0.394366,0.35,0.321429] precision 0.809944 [1,0.544118,0.522727,0.35,0.392405,0.25,0.380952] precision 0.817834 [1,0.52459,0.532609,0.487805,0.410959,0.3125,0.333333] precision 0.817013 [1,0.557692,0.518519,0.407407,0.445946,0.227273,0.428571] precision 0.813765 [1,0.574074,0.510204,0.355556,0.430556,0.214286,0.428571] precision 0.814721 [1,0.590909,0.585106,0.392857,0.346154,0.055556,0.45] precision 0.825762 [1,0.654545,0.520833,0.52381,0.416667,0.25,0.266667] precision 0.81831 [1,0.534483,0.49505,0.375,0.388889,0.5,0.538462] precision 0.824881 [1,0.59322,0.573034,0.484848,0.411765,0.142857,0.458333] precision 0.812482 [1,0.513158,0.554217,0.242424,0.397436,0.4,0.458333] precision 0.806757 [1,0.508475,0.466019,0.275,0.416667,0.357143,0.5625] precision 0.8315 [1,0.610169,0.536842,0.5,0.446154,0.28,0.545455] precision 0.805249 [1,0.548387,0.494624,0.405405,0.333333,0.133333,0.5] precision 0.807366 [1,0.603448,0.516484,0.276596,0.38806,0.058824,0.5] precision 0.823311 [1,0.58209,0.52,0.542857,0.353846,0.285714,0.521739] precision 0.801882 [1,0.478873,0.5,0.4,0.418919,0.153846,0.3125] precision 0.804366 [1,0.529412,0.536585,0.358974,0.319444,0.090909,0.52381] precision 0.809757 [1,0.54717,0.527473,0.289474,0.341463,0.347826,0.470588] precision 0.805725 [1,0.60274,0.5,0.295455,0.324675,0.230769,0.411765] precision 0.805618 [1,0.610169,0.452381,0.375,0.333333,0.3,0.318182] precision 0.811937 [1,0.574074,0.547368,0.297297,0.371429,0.294118,0.354839] precision 0.810345 [1,0.545455,0.534884,0.387097,0.382716,0.1875,0.375] precision 0.816126 [1,0.57971,0.548387,0.4375,0.405797,0.15,0.333333] precision 0.816366 [1,0.530303,0.516854,0.391304,0.423529,0.368421,0.409091] precision 0.82579 [1,0.590909,0.5875,0.378378,0.447368,0.230769,0.4375] precision 0.809859 [1,0.53125,0.478723,0.4375,0.428571,0.214286,0.391304] precision 0.82156 [1,0.603448,0.5625,0.340909,0.407407,0.181818,0.571429] precision 0.789883 [1,0.47541,0.457447,0.292683,0.421875,0,0.4] precision 0.819369 [1,0.607843,0.541667,0.428571,0.371795,0.214286,0.433333] precision 0.824755 [1,0.605634,0.611765,0.28125,0.392405,0.333333,0.44] precision 0.807515 [1,0.567164,0.530864,0.368421,0.369231,0.12,0.357143] precision 0.817049 [1,0.513514,0.52439,0.289474,0.447368,0.461538,0.47619] precision 0.824168 [1,0.629032,0.566265,0.348837,0.430556,0.291667,0.35] precision 0.818172 [1,0.553846,0.511905,0.368421,0.492958,0.294118,0.37931] precision 0.828086 [1,0.611111,0.542553,0.348837,0.443038,0.409091,0.5] precision 0.81244 [1,0.544118,0.575,0.358974,0.381579,0.222222,0.304348] precision 0.820997 [1,0.586667,0.602941,0.4,0.404762,0.117647,0.4] precision 0.807692 [1,0.52459,0.48,0.416667,0.376812,0.214286,0.5] precision 0.824627 [1,0.567164,0.52381,0.53125,0.428571,0.2,0.545455] precision 0.823065 [1,0.587302,0.6,0.365854,0.366197,0.25,0.5] precision 0.80346 [1,0.566667,0.489583,0.346939,0.295082,0.294118,0.380952] precision 0.807693 [1,0.596491,0.524752,0.288889,0.323077,0.235294,0.421053] precision 0.834599 [1,0.619048,0.586207,0.404762,0.422535,0.318182,0.631579] predictive_accuracy 0.824859 predictive_accuracy 0.810169 predictive_accuracy 0.814689 predictive_accuracy 0.828249 predictive_accuracy 0.829379 predictive_accuracy 0.815819 predictive_accuracy 0.821469 predictive_accuracy 0.818079 predictive_accuracy 0.825989 predictive_accuracy 0.816949 predictive_accuracy 0.819209 predictive_accuracy 0.818079 predictive_accuracy 0.823729 predictive_accuracy 0.80452 predictive_accuracy 0.823729 predictive_accuracy 0.828249 predictive_accuracy 0.838418 predictive_accuracy 0.815819 predictive_accuracy 0.823729 predictive_accuracy 0.822599 predictive_accuracy 0.80791 predictive_accuracy 0.80678 predictive_accuracy 0.812429 predictive_accuracy 0.80904 predictive_accuracy 0.814689 predictive_accuracy 0.831638 predictive_accuracy 0.812429 predictive_accuracy 0.824859 predictive_accuracy 0.825989 predictive_accuracy 0.80791 predictive_accuracy 0.830508 predictive_accuracy 0.80791 predictive_accuracy 0.818079 predictive_accuracy 0.80452 predictive_accuracy 0.815819 predictive_accuracy 0.824859 predictive_accuracy 0.813559 predictive_accuracy 0.820339 predictive_accuracy 0.816949 predictive_accuracy 0.811299 predictive_accuracy 0.809955 predictive_accuracy 0.826923 predictive_accuracy 0.817873 predictive_accuracy 0.820136 predictive_accuracy 0.822398 predictive_accuracy 0.829186 predictive_accuracy 0.821267 predictive_accuracy 0.81448 predictive_accuracy 0.822398 predictive_accuracy 0.802036 predictive_accuracy 0.809955 predictive_accuracy 0.820136 predictive_accuracy 0.832579 predictive_accuracy 0.819005 predictive_accuracy 0.823529 predictive_accuracy 0.798643 predictive_accuracy 0.807692 predictive_accuracy 0.825792 predictive_accuracy 0.812217 predictive_accuracy 0.817873 predictive_accuracy 0.817873 predictive_accuracy 0.81448 predictive_accuracy 0.816742 predictive_accuracy 0.823529 predictive_accuracy 0.81448 predictive_accuracy 0.825792 predictive_accuracy 0.813348 predictive_accuracy 0.806561 predictive_accuracy 0.830317 predictive_accuracy 0.80543 predictive_accuracy 0.807692 predictive_accuracy 0.824661 predictive_accuracy 0.806561 predictive_accuracy 0.803167 predictive_accuracy 0.80543 predictive_accuracy 0.80543 predictive_accuracy 0.802036 predictive_accuracy 0.809955 predictive_accuracy 0.811086 predictive_accuracy 0.817873 predictive_accuracy 0.816742 predictive_accuracy 0.826923 predictive_accuracy 0.812217 predictive_accuracy 0.822398 predictive_accuracy 0.792986 predictive_accuracy 0.817873 predictive_accuracy 0.825792 predictive_accuracy 0.80543 predictive_accuracy 0.816742 predictive_accuracy 0.821267 predictive_accuracy 0.819005 predictive_accuracy 0.824661 predictive_accuracy 0.811086 predictive_accuracy 0.820136 predictive_accuracy 0.809955 predictive_accuracy 0.825792 predictive_accuracy 0.821267 predictive_accuracy 0.802036 predictive_accuracy 0.806561 predictive_accuracy 0.832579 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 0.824859 [1,0.619718,0.555556,0.35,0.482143,0.185185,0.45] recall 0.810169 [1,0.43662,0.533333,0.268293,0.589286,0.148148,0.473684] recall 0.814689 [1,0.464789,0.488889,0.4,0.553571,0.148148,0.6] recall 0.828249 [1,0.464789,0.626374,0.4,0.553571,0.185185,0.55] recall 0.829379 [1,0.535211,0.5,0.5,0.589286,0.185185,0.6] recall 0.815819 [1,0.521127,0.544444,0.35,0.517857,0.111111,0.45] recall 0.821469 [1,0.478873,0.5,0.4,0.589286,0.185185,0.65] recall 0.818079 [1,0.422535,0.6,0.4,0.553571,0.185185,0.35] recall 0.825989 [1,0.507042,0.566667,0.5,0.660714,0.074074,0.2] recall 0.816949 [1,0.507042,0.577778,0.35,0.5,0.111111,0.45] recall 0.819209 [1,0.507042,0.533333,0.439024,0.5,0.148148,0.526316] recall 0.818079 [1,0.507042,0.511111,0.439024,0.5,0.111111,0.631579] recall 0.823729 [1,0.549296,0.566667,0.365854,0.571429,0.185185,0.315789] recall 0.80452 [1,0.464789,0.488889,0.275,0.446429,0.185185,0.65] recall 0.823729 [1,0.521127,0.588889,0.275,0.553571,0.185185,0.55] recall 0.828249 [1,0.492958,0.6,0.4,0.607143,0.185185,0.4] recall 0.838418 [1,0.591549,0.533333,0.325,0.642857,0.296296,0.7] recall 0.815819 [1,0.507042,0.522222,0.325,0.5,0.185185,0.6] recall 0.823729 [1,0.535211,0.533333,0.35,0.553571,0.074074,0.75] recall 0.822599 [1,0.549296,0.511111,0.35,0.535714,0.148148,0.7] recall 0.80791 [1,0.535211,0.488889,0.365854,0.5,0.037037,0.421053] recall 0.80678 [1,0.507042,0.477778,0.292683,0.5,0.185185,0.473684] recall 0.812429 [1,0.43662,0.466667,0.463415,0.517857,0.185185,0.631579] recall 0.80904 [1,0.591549,0.466667,0.25,0.5,0.037037,0.6] recall 0.814689 [1,0.478873,0.577778,0.275,0.553571,0.148148,0.4] recall 0.831638 [1,0.56338,0.644444,0.325,0.535714,0.259259,0.35] recall 0.812429 [1,0.492958,0.544444,0.325,0.571429,0.111111,0.3] recall 0.824859 [1,0.549296,0.533333,0.35,0.589286,0.148148,0.55] recall 0.825989 [1,0.521127,0.533333,0.4,0.535714,0.37037,0.45] recall 0.80791 [1,0.422535,0.577778,0.325,0.482143,0.074074,0.5] recall 0.830508 [1,0.577465,0.538462,0.317073,0.625,0.259259,0.526316] recall 0.80791 [1,0.507042,0.461538,0.3,0.535714,0.259259,0.4] recall 0.818079 [1,0.549296,0.571429,0.317073,0.517857,0.111111,0.421053] recall 0.80452 [1,0.380282,0.533333,0.4,0.446429,0.148148,0.55] recall 0.815819 [1,0.535211,0.538462,0.375,0.464286,0.259259,0.35] recall 0.824859 [1,0.521127,0.538462,0.525,0.571429,0.185185,0.3] recall 0.813559 [1,0.478873,0.505495,0.390244,0.553571,0.074074,0.578947] recall 0.820339 [1,0.535211,0.488889,0.463415,0.660714,0.074074,0.3] recall 0.816949 [1,0.619718,0.483516,0.35,0.428571,0.222222,0.55] recall 0.811299 [1,0.450704,0.43956,0.425,0.571429,0.111111,0.7] recall 0.809955 [1,0.492958,0.544444,0.5,0.285714,0.148148,0.6] recall 0.826923 [1,0.549296,0.6,0.375,0.482143,0.259259,0.45] recall 0.817873 [1,0.450704,0.533333,0.425,0.446429,0.259259,0.7] recall 0.820136 [1,0.619718,0.555556,0.243902,0.482143,0.222222,0.421053] recall 0.822398 [1,0.549296,0.5,0.365854,0.589286,0.111111,0.631579] recall 0.829186 [1,0.507042,0.555556,0.390244,0.482143,0.407407,0.684211] recall 0.821267 [1,0.549296,0.477778,0.463415,0.553571,0.222222,0.421053] recall 0.81448 [1,0.535211,0.411111,0.439024,0.589286,0.074074,0.631579] recall 0.822398 [1,0.507042,0.588889,0.317073,0.464286,0.185185,0.736842] recall 0.802036 [1,0.43662,0.455556,0.365854,0.5,0.074074,0.631579] recall 0.809955 [1,0.464789,0.588889,0.3,0.428571,0.259259,0.35] recall 0.820136 [1,0.507042,0.544444,0.425,0.553571,0.074074,0.5] recall 0.832579 [1,0.507042,0.533333,0.425,0.642857,0.296296,0.55] recall 0.819005 [1,0.507042,0.533333,0.341463,0.553571,0.185185,0.526316] recall 0.823529 [1,0.492958,0.544444,0.487805,0.5,0.148148,0.631579] recall 0.798643 [1,0.338028,0.455556,0.341463,0.553571,0.185185,0.578947] recall 0.807692 [1,0.394366,0.533333,0.365854,0.464286,0.185185,0.631579] recall 0.825792 [1,0.43662,0.655556,0.390244,0.5,0.259259,0.473684] recall 0.812217 [1,0.521127,0.511111,0.341463,0.553571,0.074074,0.421053] recall 0.817873 [1,0.450704,0.544444,0.487805,0.535714,0.185185,0.368421] recall 0.817873 [1,0.408451,0.622222,0.275,0.589286,0.185185,0.45] recall 0.81448 [1,0.43662,0.555556,0.4,0.553571,0.111111,0.45] recall 0.816742 [1,0.549296,0.611111,0.275,0.482143,0.037037,0.45] recall 0.823529 [1,0.507042,0.555556,0.536585,0.535714,0.222222,0.210526] recall 0.81448 [1,0.43662,0.555556,0.292683,0.625,0.185185,0.368421] recall 0.825792 [1,0.492958,0.566667,0.390244,0.625,0.074074,0.578947] recall 0.813348 [1,0.549296,0.511111,0.2,0.553571,0.148148,0.55] recall 0.806561 [1,0.422535,0.527473,0.275,0.535714,0.185185,0.473684] recall 0.830317 [1,0.507042,0.566667,0.463415,0.517857,0.259259,0.631579] recall 0.80543 [1,0.478873,0.511111,0.365854,0.482143,0.074074,0.421053] recall 0.807692 [1,0.492958,0.522222,0.325,0.464286,0.037037,0.6] recall 0.824661 [1,0.549296,0.577778,0.475,0.410714,0.148148,0.6] recall 0.806561 [1,0.478873,0.5,0.4,0.553571,0.074074,0.25] recall 0.803167 [1,0.507042,0.488889,0.35,0.410714,0.074074,0.55] recall 0.80543 [1,0.408451,0.533333,0.275,0.5,0.296296,0.4] recall 0.80543 [1,0.619718,0.444444,0.325,0.446429,0.111111,0.35] recall 0.802036 [1,0.507042,0.422222,0.45,0.482143,0.111111,0.35] recall 0.809955 [1,0.43662,0.577778,0.275,0.464286,0.185185,0.55] recall 0.811086 [1,0.507042,0.511111,0.3,0.553571,0.111111,0.45] recall 0.817873 [1,0.56338,0.566667,0.35,0.5,0.111111,0.35] recall 0.816742 [1,0.492958,0.511111,0.225,0.642857,0.259259,0.45] recall 0.826923 [1,0.549296,0.522222,0.35,0.607143,0.111111,0.7] recall 0.812217 [1,0.478873,0.5,0.35,0.589286,0.111111,0.45] recall 0.822398 [1,0.492958,0.6,0.375,0.589286,0.074074,0.4] recall 0.792986 [1,0.408451,0.477778,0.3,0.482143,0,0.5] recall 0.817873 [1,0.43662,0.577778,0.375,0.517857,0.111111,0.65] recall 0.825792 [1,0.605634,0.577778,0.225,0.553571,0.148148,0.55] recall 0.80543 [1,0.535211,0.477778,0.35,0.428571,0.111111,0.5] recall 0.816742 [1,0.535211,0.477778,0.275,0.607143,0.222222,0.5] recall 0.821267 [1,0.549296,0.522222,0.375,0.553571,0.259259,0.35] recall 0.819005 [1,0.507042,0.477778,0.35,0.625,0.185185,0.55] recall 0.824661 [1,0.464789,0.566667,0.375,0.625,0.333333,0.3] recall 0.811086 [1,0.521127,0.511111,0.35,0.517857,0.148148,0.35] recall 0.820136 [1,0.619718,0.455556,0.45,0.607143,0.074074,0.3] recall 0.809955 [1,0.450704,0.533333,0.375,0.464286,0.111111,0.6] recall 0.825792 [1,0.535211,0.488889,0.425,0.642857,0.111111,0.6] recall 0.821267 [1,0.521127,0.566667,0.375,0.464286,0.185185,0.6] recall 0.802036 [1,0.478873,0.522222,0.425,0.321429,0.185185,0.4] recall 0.806561 [1,0.478873,0.588889,0.325,0.375,0.148148,0.4] recall 0.832579 [1,0.549296,0.566667,0.425,0.535714,0.259259,0.6] relative_absolute_error 0.373116 relative_absolute_error 0.388751 relative_absolute_error 0.388175 relative_absolute_error 0.377899 relative_absolute_error 0.376119 relative_absolute_error 0.390706 relative_absolute_error 0.374688 relative_absolute_error 0.383795 relative_absolute_error 0.374774 relative_absolute_error 0.384711 relative_absolute_error 0.380174 relative_absolute_error 0.391057 relative_absolute_error 0.388112 relative_absolute_error 0.399229 relative_absolute_error 0.380928 relative_absolute_error 0.373882 relative_absolute_error 0.368668 relative_absolute_error 0.378221 relative_absolute_error 0.379338 relative_absolute_error 0.379496 relative_absolute_error 0.392523 relative_absolute_error 0.384681 relative_absolute_error 0.390164 relative_absolute_error 0.390061 relative_absolute_error 0.382626 relative_absolute_error 0.365084 relative_absolute_error 0.391992 relative_absolute_error 0.379714 relative_absolute_error 0.377633 relative_absolute_error 0.401303 relative_absolute_error 0.373433 relative_absolute_error 0.394391 relative_absolute_error 0.378655 relative_absolute_error 0.384983 relative_absolute_error 0.382616 relative_absolute_error 0.386614 relative_absolute_error 0.380586 relative_absolute_error 0.383905 relative_absolute_error 0.387185 relative_absolute_error 0.391007 relative_absolute_error 0.391018 relative_absolute_error 0.375137 relative_absolute_error 0.382447 relative_absolute_error 0.380494 relative_absolute_error 0.375853 relative_absolute_error 0.38454 relative_absolute_error 0.38742 relative_absolute_error 0.394377 relative_absolute_error 0.378771 relative_absolute_error 0.386501 relative_absolute_error 0.389194 relative_absolute_error 0.384128 relative_absolute_error 0.375549 relative_absolute_error 0.388472 relative_absolute_error 0.384044 relative_absolute_error 0.395582 relative_absolute_error 0.395277 relative_absolute_error 0.37384 relative_absolute_error 0.393081 relative_absolute_error 0.387072 relative_absolute_error 0.383726 relative_absolute_error 0.387327 relative_absolute_error 0.382185 relative_absolute_error 0.38016 relative_absolute_error 0.387439 relative_absolute_error 0.375428 relative_absolute_error 0.379362 relative_absolute_error 0.391872 relative_absolute_error 0.372934 relative_absolute_error 0.393753 relative_absolute_error 0.391767 relative_absolute_error 0.380722 relative_absolute_error 0.389967 relative_absolute_error 0.393367 relative_absolute_error 0.39179 relative_absolute_error 0.391074 relative_absolute_error 0.391453 relative_absolute_error 0.382738 relative_absolute_error 0.385562 relative_absolute_error 0.384919 relative_absolute_error 0.387071 relative_absolute_error 0.371253 relative_absolute_error 0.378781 relative_absolute_error 0.373403 relative_absolute_error 0.396137 relative_absolute_error 0.382517 relative_absolute_error 0.377452 relative_absolute_error 0.396626 relative_absolute_error 0.3854 relative_absolute_error 0.378225 relative_absolute_error 0.385723 relative_absolute_error 0.386104 relative_absolute_error 0.386102 relative_absolute_error 0.385232 relative_absolute_error 0.388712 relative_absolute_error 0.385761 relative_absolute_error 0.380101 relative_absolute_error 0.389857 relative_absolute_error 0.39159 relative_absolute_error 0.379987 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 0.174124 root_mean_squared_error 0.17985 root_mean_squared_error 0.178474 root_mean_squared_error 0.177417 root_mean_squared_error 0.177125 root_mean_squared_error 0.180874 root_mean_squared_error 0.174493 root_mean_squared_error 0.177984 root_mean_squared_error 0.175903 root_mean_squared_error 0.181205 root_mean_squared_error 0.179394 root_mean_squared_error 0.181091 root_mean_squared_error 0.180287 root_mean_squared_error 0.185132 root_mean_squared_error 0.178662 root_mean_squared_error 0.177591 root_mean_squared_error 0.172901 root_mean_squared_error 0.175246 root_mean_squared_error 0.175244 root_mean_squared_error 0.175311 root_mean_squared_error 0.18122 root_mean_squared_error 0.17905 root_mean_squared_error 0.183733 root_mean_squared_error 0.181622 root_mean_squared_error 0.177461 root_mean_squared_error 0.17068 root_mean_squared_error 0.182345 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