402781 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 1409137 description https://api.openml.org/data/download/1409137/weka_generated_run2182308298309575016.xml -1 1409140 model_readable https://api.openml.org/data/download/1409140/WekaModel_weka.classifiers.trees.LADTree2736269781379293626.model -1 1409139 model_serialized https://api.openml.org/data/download/1409139/WekaSerialized_weka.classifiers.trees.LADTree7016827340542447228.model -1 1409138 predictions https://api.openml.org/data/download/1409138/weka_generated_predictions3503724231502943899.arff area_under_roc_curve 0.918449 [0.880304,0.808864,0.99602,0.995609,0.982862,0.778256,0.950445,0.883184,0.716622,0.998862,0.942597,0.824624,0.818287,0.800415,0.759798,0.709517,0.833361,0.793524,0.868331,0.891425,0.987955,0.84272,0.900781,0.876162,0.735916] average_cost 0 f_measure 0.57193 [0,0,0.883673,0.923077,0.848485,0,0.719809,0,0,0.981324,0.654625,0,0,0,0,0,0,0,0,0.645138,0.931212,0,0.493708,0,0] kappa 0.582645 kb_relative_information_score 9149.539039 mean_absolute_error 0.035552 mean_prior_absolute_error 0.070994 number_of_instances 16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.526424 [0,0,0.866,0.931141,0.910217,0,0.64088,0,0,0.966555,0.507107,0,0,0,0,0,0,0,0,0.641414,0.923863,0,0.588915,0,0] predictive_accuracy 0.650151 prior_entropy 3.812516 recall 0.650151 [0,0,0.902083,0.915152,0.794595,0,0.820909,0,0,0.996552,0.923181,0,0,0,0,0,0,0,0,0.648905,0.938679,0,0.425,0,0] relative_absolute_error 0.500778 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.13304 root_relative_squared_error 0.706559 scimark_benchmark 905.210886 [556.3766013735313, 1014.1868590421574, 480.4214203123994, 907.0726314340118, 1567.9969194740972] total_cost 0 usercpu_time_millis 547510 usercpu_time_millis_testing 10 usercpu_time_millis_training 547500 area_under_roc_curve 0.924307 [0.896605,0.823171,0.999379,0.999679,1,0.914634,0.963887,0.914634,0.733232,1,0.946784,0.728016,0.708333,0.957576,0.670732,0.693168,0.914634,0.914634,0.917178,0.85998,1,0.821212,0.901563,0.932927,0.775758] area_under_roc_curve 0.908074 [0.895706,0.82622,1,1,1,0.721212,0.948963,0.77439,0.783537,0.996461,0.944696,0.895706,0.900621,0.875,0.893293,0.706211,0.890909,0.746951,0.895706,0.73278,0.995308,0.685976,0.866667,0.908537,0.187879] area_under_roc_curve 0.932201 [0.883436,0.881098,1,1,1,0.881098,0.950103,0.881098,0.77439,1,0.971611,0.883436,0.665895,0.872727,0.67378,0.824224,0.881098,0.67378,0.883436,0.920818,0.999707,0.881098,0.894792,0.824695,0.872727] area_under_roc_curve 0.912642 [0.871166,0.786585,0.998137,0.998397,1,0.620427,0.955115,0.868902,0.751524,1,0.933375,0.871166,0.733025,0.854545,0.792434,0.678882,0.664634,0.868902,0.871166,0.918233,1,0.612805,0.846354,0.96189,0.866667] area_under_roc_curve 0.931191 [0.892638,0.853659,1,1,1,0.936364,0.954887,0.804878,0.695122,0.996461,0.958676,0.627812,0.826087,0.954545,0.608384,0.714286,0.936364,0.939024,0.892638,0.969834,1,0.908537,0.894271,0.92378,0.851515] area_under_roc_curve 0.943682 [0.959877,0.844512,1,1,1,0.933333,0.960128,0.935976,0.698171,0.996044,0.975801,0.728016,0.863426,0.865854,0.830266,0.869565,0.933333,0.935976,0.916155,0.893562,0.995308,0.893293,0.88125,0.918182,0.951515] area_under_roc_curve 0.934176 [0.883436,0.806402,1,1,1,0.868902,0.946799,0.881098,0.881098,1,0.964592,0.883436,0.885802,0.792683,0.883436,0.708075,0.878788,0.572727,0.885802,0.912594,1,0.881098,0.898438,0.920732,0.878788] area_under_roc_curve 0.913762 [0.895706,0.827744,1,1,1,0.801829,0.951811,0.769817,0.652439,0.996835,0.928248,0.693252,0.900621,0.875,0.709611,0.761491,0.890909,0.893293,0.895706,0.824284,0.996481,0.893293,0.9,0.926829,0.884848] area_under_roc_curve 0.921803 [0.861963,0.859756,1,1,1,0.853659,0.968558,0.859756,0.740854,1,0.932874,0.861963,0.864198,0.67378,0.859756,0.824845,0.857576,0.859756,0.864198,0.799397,0.982698,0.859756,0.9125,0.935976,0.857576] area_under_roc_curve 0.94017 [0.921296,0.856707,1,1,1,0.915152,0.960355,0.917683,0.554545,1,0.963859,0.782209,0.86034,0.972727,0.820041,0.852174,0.681402,0.915152,0.898773,0.897321,1,0.97561,0.89375,0.917683,0.842424] area_under_roc_curve 0.915275 [0.880368,0.878049,1,0.960577,0.844907,0.878049,0.960242,0.878049,0.875758,1,0.955688,0.880368,0.665895,0.400915,0.689024,0.752174,0.878049,0.878049,0.880368,0.825289,1,0.878049,0.920312,0.917683,0.875758] area_under_roc_curve 0.921478 [0.93047,0.759146,1,1,0.652006,0.90303,0.95352,0.905488,0.60303,0.992923,0.952231,0.696759,0.85528,0.734756,0.573171,0.858385,0.905488,0.905488,0.885481,0.899196,0.99912,0.838415,0.961458,0.942073,0.836364] area_under_roc_curve 0.920866 [0.707566,0.893293,0.97764,1,1,0.608232,0.948166,0.893293,0.890909,0.995754,0.947308,0.794479,0.772377,0.860606,0.628049,0.812422,0.893293,0.893293,0.895706,0.894502,0.992962,0.893293,0.934375,0.917683,0.284848] area_under_roc_curve 0.921851 [0.876278,0.847561,1,0.999359,0.840278,0.912121,0.937002,0.769817,0.914634,1,0.962183,0.876278,0.732253,0.736364,0.720859,0.73913,0.912121,0.545732,0.876278,0.957237,1,0.896341,0.824479,0.896341,0.827273] area_under_roc_curve 0.928859 [0.886503,0.884146,1,1,1,0.884146,0.952951,0.884146,0.663636,0.996044,0.966583,0.835378,0.713665,0.6875,0.698364,0.692547,0.881818,0.884146,0.886503,0.96734,1,0.884146,0.954688,0.918182,0.109091] area_under_roc_curve 0.921578 [0.883436,0.716463,1,1,0.916667,0.78811,0.95147,0.881098,0.878788,0.996461,0.954326,0.777096,0.776398,0.866667,0.695297,0.557764,0.878788,0.881098,0.883436,0.946429,1,0.881098,0.9375,0.78811,0.878788] area_under_roc_curve 0.900985 [0.936728,0.82622,1,0.999359,1,0.564024,0.935748,0.905488,0.905488,1,0.905405,0.875256,0.696759,0.957576,0.743354,0.570807,0.90303,0.905488,0.828221,0.901709,0.941935,0.530488,0.925521,0.939024,0.812121] area_under_roc_curve 0.917645 [0.960123,0.807927,0.973765,1,1,0.661585,0.957052,0.905488,0.724085,1,0.926042,0.724949,0.813043,0.870427,0.907975,0.710559,0.830793,0.90303,0.807771,0.900201,0.99824,0.807927,0.873958,0.957317,0.806061] area_under_roc_curve 0.930724 [0.864969,0.911585,1,0.948077,1,0.909091,0.948166,0.911585,0.911585,1,0.964907,0.786299,0.797068,0.940549,0.682927,0.747205,0.909091,0.842988,0.864969,0.922574,1,0.814024,0.896875,0.917683,0.766667] area_under_roc_curve 0.948104 [0.888548,0.685976,1,1,0.999228,0.875,0.975507,0.932927,0.702744,1,0.967735,0.888548,0.83642,0.960606,0.935583,0.875155,0.815152,0.930303,0.927403,0.93468,1,0.847561,0.932292,0.929878,0.415152] area_under_roc_curve 0.913896 [0.936605,0.838415,1,0.999359,1,0.911585,0.937571,0.911585,0.769817,1,0.949193,0.855828,0.85571,0.958841,0.689024,0.638509,0.911585,0.623476,0.852761,0.875817,0.984164,0.681402,0.829688,0.933333,0.387879] area_under_roc_curve 0.916803 [0.846626,0.751524,0.998758,1,0.801698,0.844512,0.91866,0.844512,0.713415,1,0.962916,0.846626,0.848765,0.49697,0.692073,0.780124,0.844512,0.844512,0.848765,0.930451,0.984751,0.842424,0.86875,0.951515,0.842424] area_under_roc_curve 0.914402 [0.917178,0.804878,0.998758,1,0.820988,0.896341,0.965824,0.902439,0.748476,1,0.934004,0.767894,0.825617,0.940549,0.785276,0.728571,0.9,0.585366,0.868098,0.903195,0.93695,0.815152,0.835417,0.935976,0.815152] area_under_roc_curve 0.924849 [0.906953,0.856707,1,1,0.919753,0.345455,0.966165,0.914634,0.655488,0.996815,0.939032,0.714724,0.919753,0.978788,0.781186,0.512422,0.912121,0.827744,0.906953,0.936795,0.995015,0.92378,0.946875,0.939024,0.863636] area_under_roc_curve 0.932847 [0.886503,0.884146,1,0.997756,1,0.884146,0.961722,0.884146,0.884146,1,0.956631,0.886503,0.888889,0.71189,0.809816,0.800621,0.881818,0.884146,0.886503,0.884164,0.996481,0.631098,0.890104,0.902439,0.881818] area_under_roc_curve 0.929674 [0.880368,0.878049,0.973292,1,1,0.810976,0.949647,0.878049,0.756098,1,0.949193,0.807771,0.885093,0.724242,0.880368,0.734783,0.875758,0.707317,0.880368,0.895442,1,0.878049,0.980729,0.920732,0.875758] area_under_roc_curve 0.919663 [0.871166,0.643293,1,1,0.871166,0.862805,0.943609,0.868902,0.628049,1,0.956631,0.795525,0.725309,0.448485,0.871166,0.654037,0.866667,0.868902,0.871166,0.953243,0.985924,0.868902,0.941146,0.887195,0.866667] area_under_roc_curve 0.905797 [0.880368,0.5625,1,1,1,0.871951,0.939736,0.878049,0.760671,1,0.920805,0.802658,0.736111,0.664634,0.690184,0.691925,0.878049,0.875758,0.880368,0.897939,0.992962,0.878049,0.818229,0.935976,0.875758] area_under_roc_curve 0.92549 [0.900818,0.79878,1,0.997756,1,0.345455,0.953634,0.914634,0.644817,0.999292,0.949193,0.915895,0.703727,0.948171,0.914634,0.721118,0.763636,0.914634,0.850716,0.961466,0.942229,0.79697,0.911979,0.897866,0.757576] area_under_roc_curve 0.917563 [0.880368,0.878049,0.997516,0.984615,1,0.650915,0.933128,0.878049,0.661585,0.996461,0.951708,0.723926,0.660248,0.745455,0.768916,0.86646,0.875758,0.797256,0.880368,0.958412,0.992949,0.650915,0.939583,0.79878,0.875758] area_under_roc_curve 0.925555 [0.874233,0.791159,1,1,0.876543,0.786585,0.9689,0.871951,0.757622,1,0.940394,0.874233,0.876543,0.922256,0.874233,0.557143,0.869697,0.664634,0.874233,0.932801,0.996474,0.871951,0.948438,0.89939,0.869697] area_under_roc_curve 0.911053 [0.927403,0.832317,1,1,1,0.908537,0.942812,0.908537,0.760671,1,0.93327,0.685072,0.91358,0.966667,0.805726,0.617391,0.655488,0.608232,0.873457,0.867481,1,0.833333,0.935417,0.71189,0.772727] area_under_roc_curve 0.931956 [0.858896,0.83689,0.998137,0.999679,1,0.917683,0.973684,0.917683,0.766768,1,0.954536,0.668712,0.892747,0.865854,0.55726,0.765839,0.915152,0.917683,0.898773,0.890038,1,0.854545,0.953125,0.862805,0.79697] area_under_roc_curve 0.912394 [0.877301,0.875,1,0.9625,1,0.872727,0.937799,0.875,0.759146,1,0.935785,0.877301,0.749228,0.848485,0.801636,0.614286,0.872727,0.667683,0.877301,0.852914,0.987683,0.875,0.945833,0.920732,0.872727] area_under_roc_curve 0.911476 [0.92229,0.881098,0.969136,0.958013,1,0.60061,0.948394,0.881098,0.579268,1,0.894511,0.92229,0.885802,0.849085,0.883436,0.701242,0.878788,0.881098,0.869121,0.913534,0.976246,0.893293,0.924479,0.86128,0.806061] area_under_roc_curve 0.91109 [0.831288,0.772866,1,0.998077,0.997955,0.614329,0.953748,0.926829,0.778963,1,0.948984,0.773006,0.900463,0.951515,0.626524,0.8,0.675305,0.926829,0.871142,0.827538,1,0.61128,0.848958,0.948171,0.387879] area_under_roc_curve 0.903908 [0.861963,0.859756,0.967702,0.998397,1,0.859756,0.933242,0.859756,0.615854,1,0.924366,0.861963,0.750311,0.833333,0.730061,0.634161,0.857576,0.772866,0.861963,0.807692,1,0.859756,0.965625,0.929878,0.857576] area_under_roc_curve 0.919334 [0.769939,0.871951,0.998137,0.999038,0.83642,0.871951,0.951584,0.871951,0.615854,1,0.949927,0.874233,0.876543,0.917683,0.778119,0.739752,0.871951,0.643293,0.874233,0.856203,0.999359,0.869697,0.942187,0.936364,0.869697] area_under_roc_curve 0.902669 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[0.858696,0.828221,0.999375,0.999677,1,0.920732,0.951905,0.923313,0.769939,1,0.947846,0.871399,0.895186,0.954268,0.611111,0.509375,0.920732,0.806748,0.871399,0.938259,1,0.891104,0.848008,0.947853,0.954268] area_under_roc_curve 0.901211 [0.858025,0.855828,1,0.953871,1,0.853659,0.93618,0.855828,0.726994,1,0.908573,0.858025,0.645963,0.773006,0.773663,0.535,0.853659,0.853659,0.858025,0.885762,0.996458,0.855828,0.92348,0.947853,0.853659] area_under_roc_curve 0.903565 [0.814815,0.754601,0.999224,0.999677,0.997671,0.91411,0.962925,0.91411,0.765337,1,0.917758,0.865226,0.88354,0.92638,0.8107,0.656875,0.463415,0.911585,0.891304,0.774598,0.995806,0.886503,0.888365,0.636503,0.411585] area_under_roc_curve 0.927337 [0.861111,0.77454,1,1,1,0.858896,0.950643,0.858896,0.733129,1,0.94489,0.861111,0.863354,0.777607,0.733129,0.8325,0.856707,0.702454,0.861111,0.890255,1,0.858896,0.941824,0.944785,0.856707] area_under_roc_curve 0.914966 [0.864198,0.776074,1,0.999355,0.903727,0.748466,0.947199,0.861963,0.628049,0.99359,0.914802,0.802469,0.86646,0.837423,0.864198,0.74375,0.859756,0.861963,0.864198,0.906377,0.998524,0.861963,0.942348,0.929448,0.280488] area_under_roc_curve 0.916521 [0.873457,0.871166,0.973125,0.999032,0.875776,0.868902,0.962925,0.871166,0.756135,1,0.950274,0.76749,0.875776,0.719512,0.651235,0.66375,0.871166,0.461656,0.873457,0.897351,1,0.868902,0.863732,0.93865,0.868902] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.597661 [0,0,0.909091,0.947368,1,0,0.825397,0,0,1,0.632479,0,0,0,0,0,0,0,0,0.56,1,0,0.545455,0,0] f_measure 0.569902 [0,0,0.857143,0.909091,1,0,0.782609,0,0,0.947368,0.649123,0,0,0,0,0,0,0,0,0.5,0.869565,0,0.5,0,0] f_measure 0.606245 [0,0,1,1,0.888889,0,0.83871,0,0,1,0.614035,0,0,0,0,0,0,0,0,0.709677,0.952381,0,0.545455,0,0] f_measure 0.599667 [0,0,0.75,0.857143,1,0,0.835821,0,0,1,0.631579,0,0,0,0,0,0,0,0,0.785714,1,0,0.545455,0,0] f_measure 0.590091 [0,0,1,0.952381,1,0,0.629213,0,0,0.947368,0.795455,0,0,0,0,0,0,0,0,0.6875,0.952381,0,0.25,0,0] f_measure 0.583193 [0,0,1,1,1,0,0.78125,0,0,0.941176,0.649123,0,0,0,0,0,0,0,0,0.6,0.9,0,0.363636,0,0] f_measure 0.583388 [0,0,0.888889,0.947368,1,0,0.816901,0,0,1,0.619469,0,0,0,0,0,0,0,0,0.72,0.956522,0,0.222222,0,0] f_measure 0.538306 [0,0,0.857143,0.952381,0.857143,0,0.783784,0,0,0.941176,0.584906,0,0,0,0,0,0,0,0,0.48,0.846154,0,0.444444,0,0] f_measure 0.588433 [0,0,1,1,1,0,0.857143,0,0,1,0.595041,0,0,0,0,0,0,0,0,0.521739,0.909091,0,0.666667,0,0] f_measure 0.616917 [0,0,0.888889,1,1,0,0.84375,0,0,1,0.649123,0,0,0,0,0,0,0,0,0.666667,1,0,0.461538,0,0] f_measure 0.563415 [0,0,0.909091,0.888889,0,0,0.8125,0,0,1,0.610169,0,0,0,0,0,0,0,0,0.592593,1,0,0.5,0,0] f_measure 0.553127 [0,0,0.888889,0.947368,0,0,0.595745,0,0,0.9,0.780488,0,0,0,0,0,0,0,0,0.62069,0.916667,0,0.666667,0,0] f_measure 0.586331 [0,0,0.888889,0.952381,1,0,0.742857,0,0,0.947368,0.640777,0,0,0,0,0,0,0,0,0.666667,0.88,0,0.6,0,0] f_measure 0.573094 [0,0,0.909091,0.9,0,0,0.586957,0,0,1,0.804598,0,0,0,0,0,0,0,0,0.733333,1,0,0.363636,0,0] f_measure 0.618332 [0,0,1,1,1,0,0.818182,0,0,0.941176,0.654867,0,0,0,0,0,0,0,0,0.814815,0.952381,0,0.5,0,0] f_measure 0.594632 [0,0,0.888889,0.952381,0.857143,0,0.818182,0,0,0.947368,0.642857,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] f_measure 0.556853 [0,0,0.909091,0.9,0.888889,0,0.612245,0,0,0.933333,0.731707,0,0,0,0,0,0,0,0,0.64,0.818182,0,0.545455,0,0] f_measure 0.564179 [0,0,0.75,0.947368,1,0,0.806452,0,0,1,0.580645,0,0,0,0,0,0,0,0,0.75,0.909091,0,0.222222,0,0] f_measure 0.579905 [0,0,0.769231,0.75,1,0,0.8,0,0,1,0.615385,0,0,0,0,0,0,0,0,0.769231,0.952381,0,0.545455,0,0] f_measure 0.625899 [0,0,1,1,0.8,0,0.83871,0,0,1,0.648649,0,0,0,0,0,0,0,0,0.75,0.956522,0,0.666667,0,0] f_measure 0.560157 [0,0,0.909091,0.9,0.888889,0,0.574257,0,0,1,0.775,0,0,0,0,0,0,0,0,0.583333,0.952381,0,0.2,0,0] f_measure 0.547529 [0,0,0.909091,0.947368,0,0,0.71875,0,0,1,0.61157,0,0,0,0,0,0,0,0,0.666667,0.952381,0,0.285714,0,0] f_measure 0.545218 [0,0,0.8,0.941176,0,0,0.556701,0,0,1,0.776471,0,0,0,0,0,0,0,0,0.62069,0.952381,0,0.461538,0,0] f_measure 0.578216 [0,0,0.909091,0.947368,0,0,0.638298,0,0,0.947368,0.790123,0,0,0,0,0,0,0,0,0.645161,0.846154,0,0.8,0,0] f_measure 0.577301 [0,0,0.888889,0.818182,1,0,0.816901,0,0,1,0.589286,0,0,0,0,0,0,0,0,0.666667,0.909091,0,0.666667,0,0] f_measure 0.600605 [0,0,0.8,0.947368,1,0,0.811594,0,0,1,0.619469,0,0,0,0,0,0,0,0,0.785714,0.952381,0,0.666667,0,0] f_measure 0.57969 [0,0,1,1,0,0,0.782609,0,0,1,0.610169,0,0,0,0,0,0,0,0,0.75,0.952381,0,0.6,0,0] f_measure 0.576682 [0,0,0.888889,0.952381,1,0,0.771429,0,0,1,0.648148,0,0,0,0,0,0,0,0,0.642857,0.869565,0,0.4,0,0] f_measure 0.549907 [0,0,0.75,0.833333,0.857143,0,0.615385,0,0,0.941176,0.712644,0,0,0,0,0,0,0,0,0.689655,0.857143,0,0.4,0,0] f_measure 0.558424 [0,0,0.666667,0.857143,1,0,0.709677,0,0,0.947368,0.637168,0,0,0,0,0,0,0,0,0.727273,0.909091,0,0.5,0,0] f_measure 0.547769 [0,0,0.75,0.9,0,0,0.540541,0,0,1,0.826667,0,0,0,0,0,0,0,0,0.689655,0.9,0,0.5,0,0] f_measure 0.59171 [0,0,1,1,1,0,0.818182,0,0,1,0.603448,0,0,0,0,0,0,0,0,0.592593,1,0,0.6,0,0] f_measure 0.583351 [0,0,0.8,0.947368,1,0,0.610526,0,0,1,0.790123,0,0,0,0,0,0,0,0,0.62069,0.956522,0,0.461538,0,0] f_measure 0.57404 [0,0,0.909091,0.842105,1,0,0.75,0,0,1,0.632479,0,0,0,0,0,0,0,0,0.592593,0.952381,0,0.4,0,0] f_measure 0.552705 [0,0,0.857143,0.947368,0.888889,0,0.576923,0,0,1,0.7,0,0,0,0,0,0,0,0,0.72,0.818182,0,0.545455,0,0] f_measure 0.554384 [0,0,0.769231,0.777778,0.75,0,0.787879,0,0,1,0.648148,0,0,0,0,0,0,0,0,0.533333,0.952381,0,0.363636,0,0] f_measure 0.558279 [0,0,0.75,0.857143,1,0,0.776119,0,0,1,0.588235,0,0,0,0,0,0,0,0,0.5,0.952381,0,0.666667,0,0] f_measure 0.533324 [0,0,0.769231,0.823529,0,0,0.783784,0,0,1,0.59322,0,0,0,0,0,0,0,0,0.545455,0.9,0,0.5,0,0] f_measure 0.523276 [0,0,1,0.952381,0,0,0.55,0,0,0.947368,0.764706,0,0,0,0,0,0,0,0,0.347826,1,0,0.25,0,0] f_measure 0.549651 [0,0,1,0.9,0.857143,0,0.589474,0,0,1,0.725,0,0,0,0,0,0,0,0,0.571429,0.952381,0,0.461538,0,0] f_measure 0.548054 [0,0,0.857143,0.833333,0.888889,0,0.78125,0,0,0.947368,0.591304,0,0,0,0,0,0,0,0,0.5,0.947368,0,0.5,0,0] f_measure 0.603758 [0,0,1,1,0.8,0,0.8125,0,0,1,0.619469,0,0,0,0,0,0,0,0,0.769231,0.956522,0,0.5,0,0] f_measure 0.577758 [0,0,1,0.9,0.857143,0,0.776119,0,0,0.941176,0.626087,0,0,0,0,0,0,0,0,0.692308,0.9,0,0.545455,0,0] f_measure 0.564793 [0,0,0.75,0.952381,0.857143,0,0.794118,0,0,1,0.615385,0,0,0,0,0,0,0,0,0.56,0.857143,0,0.444444,0,0] f_measure 0.587309 [0,0,1,0.947368,1,0,0.835821,0,0,1,0.614035,0,0,0,0,0,0,0,0,0.64,0.952381,0,0.363636,0,0] f_measure 0.56395 [0,0,0.75,0.9,1,0,0.652632,0,0,1,0.747253,0,0,0,0,0,0,0,0,0.666667,0.9,0,0.25,0,0] f_measure 0.600408 [0,0,1,0.952381,1,0,0.6,0,0,1,0.804598,0,0,0,0,0,0,0,0,0.642857,1,0,0.461538,0,0] f_measure 0.614133 [0,0,0.909091,0.947368,0.888889,0,0.825397,0,0,1,0.648649,0,0,0,0,0,0,0,0,0.666667,1,0,0.8,0,0] f_measure 0.591898 [0,0,0.8,0.947368,1,0,0.582524,0,0,1,0.805195,0,0,0,0,0,0,0,0,0.62069,0.952381,0,0.6,0,0] f_measure 0.559607 [0,0,0.833333,0.888889,1,0,0.823529,0,0,1,0.608696,0,0,0,0,0,0,0,0,0.48,0.842105,0,0.5,0,0] f_measure 0.571764 [0,0,0.75,0.947368,1,0,0.764706,0,0,1,0.596154,0,0,0,0,0,0,0,0,0.705882,0.857143,0,0.615385,0,0] f_measure 0.602842 [0,0,0.888889,0.952381,1,0,0.8,0,0,1,0.648649,0,0,0,0,0,0,0,0,0.727273,0.956522,0,0.5,0,0] f_measure 0.58995 [0,0,0.8,0.947368,1,0,0.825397,0,0,1,0.605042,0,0,0,0,0,0,0,0,0.642857,0.952381,0,0.666667,0,0] f_measure 0.604357 [0,0,1,1,0.8,0,0.830769,0,0,0.9,0.60177,0,0,0,0,0,0,0,0,0.758621,0.956522,0,0.666667,0,0] f_measure 0.555285 [0,0,1,1,0,0,0.8,0,0,1,0.605042,0,0,0,0,0,0,0,0,0.551724,0.9,0,0.444444,0,0] f_measure 0.570565 [0,0,1,0.909091,0,0,0.55102,0,0,1,0.810127,0,0,0,0,0,0,0,0,0.774194,1,0,0.4,0,0] f_measure 0.557323 [0,0,0.909091,0.941176,0,0,0.612245,0,0,0.947368,0.761905,0,0,0,0,0,0,0,0,0.666667,0.952381,0,0.461538,0,0] f_measure 0.546981 [0,0,0.909091,0.818182,0.857143,0,0.677966,0,0,0.947368,0.596491,0,0,0,0,0,0,0,0,0.642857,0.947368,0,0.533333,0,0] f_measure 0.565612 [0,0,0.909091,0.947368,1,0,0.58427,0,0,1,0.712644,0,0,0,0,0,0,0,0,0.625,0.947368,0,0.666667,0,0] f_measure 0.59894 [0,0,0.909091,0.9,1,0,0.830769,0,0,1,0.649123,0,0,0,0,0,0,0,0,0.615385,0.952381,0,0.545455,0,0] f_measure 0.571455 [0,0,0.8,0.9,0.857143,0,0.8,0,0,0.947368,0.603448,0,0,0,0,0,0,0,0,0.689655,0.952381,0,0.333333,0,0] f_measure 0.528894 [0,0,0.666667,0.736842,0.857143,0,0.545455,0,0,1,0.734177,0,0,0,0,0,0,0,0,0.482759,1,0,0.6,0,0] f_measure 0.58447 [0,0,0.833333,0.842105,1,0,0.818182,0,0,0.947368,0.637931,0,0,0,0,0,0,0,0,0.692308,1,0,0.444444,0,0] f_measure 0.557039 [0,0,0.75,0.952381,0.857143,0,0.659091,0,0,1,0.752688,0,0,0,0,0,0,0,0,0.416667,0.952381,0,0.285714,0,0] f_measure 0.579235 [0,0,1,0.823529,0.888889,0,0.574468,0,0,1,0.785714,0,0,0,0,0,0,0,0,0.666667,1,0,0.5,0,0] f_measure 0.557875 [0,0,0.888889,0.947368,0,0,0.825397,0,0,1,0.601626,0,0,0,0,0,0,0,0,0.48,0.952381,0,0.727273,0,0] f_measure 0.590746 [0,0,0.909091,0.947368,0.857143,0,0.8125,0,0,0.9,0.660714,0,0,0,0,0,0,0,0,0.666667,0.952381,0,0.4,0,0] f_measure 0.579187 [0,0,1,1,1,0,0.766667,0,0,0.947368,0.610169,0,0,0,0,0,0,0,0,0.709677,0.947368,0,0.222222,0,0] f_measure 0.600834 [0,0,0.833333,0.888889,0.8,0,0.857143,0,0,1,0.654545,0,0,0,0,0,0,0,0,0.615385,1,0,0.727273,0,0] f_measure 0.545127 [0,0,0.75,0.947368,1,0,0.565657,0,0,1,0.698795,0,0,0,0,0,0,0,0,0.666667,0.857143,0,0.4,0,0] f_measure 0.592665 [0,0,1,1,1,0,0.757576,0,0,1,0.636364,0,0,0,0,0,0,0,0,0.689655,0.88,0,0.545455,0,0] f_measure 0.612952 [0,0,0.909091,0.947368,1,0,0.864865,0,0,1,0.62963,0,0,0,0,0,0,0,0,0.814815,0.947368,0,0.4,0,0] f_measure 0.556569 [0,0,0.833333,0.888889,0.857143,0,0.606061,0,0,1,0.708861,0,0,0,0,0,0,0,0,0.615385,0.909091,0,0.545455,0,0] f_measure 0.568751 [0,0,0.8,0.9,1,0,0.777778,0,0,1,0.672897,0,0,0,0,0,0,0,0,0.56,0.8,0,0.333333,0,0] f_measure 0.562399 [0,0,0.666667,0.947368,1,0,0.754098,0,0,1,0.583333,0,0,0,0,0,0,0,0,0.538462,0.818182,0,0.8,0,0] f_measure 0.555921 [0,0,0.888889,0.947368,1,0,0.58,0,0,1,0.683544,0,0,0,0,0,0,0,0,0.666667,0.818182,0,0.6,0,0] f_measure 0.612041 [0,0,0.888889,0.909091,1,0,0.835821,0,0,1,0.636364,0,0,0,0,0,0,0,0,0.642857,0.952381,0,0.8,0,0] f_measure 0.588206 [0,0,0.833333,0.823529,1,0,0.776119,0,0,1,0.672897,0,0,0,0,0,0,0,0,0.606061,0.952381,0,0.363636,0,0] f_measure 0.551279 [0,0,0.888889,1,0,0,0.787879,0,0,1,0.595041,0,0,0,0,0,0,0,0,0.714286,0.9,0,0.25,0,0] f_measure 0.563525 [0,0,1,1,0,0,0.62,0,0,1,0.772727,0,0,0,0,0,0,0,0,0.727273,0.952381,0,0.333333,0,0] f_measure 0.603409 [0,0,1,1,1,0,0.835821,0,0,1,0.632479,0,0,0,0,0,0,0,0,0.769231,0.952381,0,0.222222,0,0] f_measure 0.589246 [0,0,1,1,1,0,0.8,0,0,1,0.627119,0,0,0,0,0,0,0,0,0.666667,0.888889,0,0.4,0,0] f_measure 0.571807 [0,0,0.888889,0.857143,1,0,0.769231,0,0,1,0.608696,0,0,0,0,0,0,0,0,0.538462,0.952381,0,0.727273,0,0] f_measure 0.567483 [0,0,0.888889,0.9,1,0,0.745763,0,0,1,0.583333,0,0,0,0,0,0,0,0,0.714286,1,0,0.6,0,0] f_measure 0.593525 [0,0,0.714286,0.75,0.8,0,0.833333,0,0,0.947368,0.660377,0,0,0,0,0,0,0,0,0.692308,1,0,0.666667,0,0] f_measure 0.61426 [0,0,1,1,1,0,0.848485,0,0,0.941176,0.625,0,0,0,0,0,0,0,0,0.666667,0.869565,0,0.8,0,0] f_measure 0.589957 [0,0,0.8,0.888889,1,0,0.806452,0,0,1,0.625,0,0,0,0,0,0,0,0,0.774194,0.869565,0,0.363636,0,0] f_measure 0.594057 [0,0,1,0.947368,1,0,0.590476,0,0,1,0.8,0,0,0,0,0,0,0,0,0.64,0.9,0,0.6,0,0] f_measure 0.600439 [0,0,0.909091,0.941176,1,0,0.639175,0,0,1,0.8,0,0,0,0,0,0,0,0,0.714286,0.909091,0,0.545455,0,0] f_measure 0.586161 [0,0,0.909091,0.947368,0.857143,0,0.848485,0,0,0.888889,0.62069,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.25,0,0] f_measure 0.594707 [0,0,0.909091,0.947368,0.857143,0,0.84058,0,0,0.941176,0.637168,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.5,0,0] f_measure 0.560113 [0,0,0.888889,0.9,0.888889,0,0.610526,0,0,0.941176,0.752941,0,0,0,0,0,0,0,0,0.592593,0.857143,0,0.444444,0,0] f_measure 0.565791 [0,0,0.857143,0.869565,1,0,0.793651,0,0,1,0.603448,0,0,0,0,0,0,0,0,0.64,0.857143,0,0.363636,0,0] f_measure 0.570163 [0,0,0.888889,0.941176,1,0,0.782609,0,0,1,0.630631,0,0,0,0,0,0,0,0,0.645161,0.947368,0,0.4,0,0] f_measure 0.56523 [0,0,0.909091,0.947368,0.857143,0,0.571429,0,0,1,0.765432,0,0,0,0,0,0,0,0,0.5625,1,0,0.363636,0,0] f_measure 0.576844 [0,0,0.909091,0.842105,1,0,0.787879,0,0,1,0.615385,0,0,0,0,0,0,0,0,0.608696,0.956522,0,0.4,0,0] f_measure 0.54138 [0,0,0.888889,0.947368,0.727273,0,0.733333,0,0,1,0.60177,0,0,0,0,0,0,0,0,0.5,0.952381,0,0.4,0,0] f_measure 0.60462 [0,0,0.888889,0.947368,1,0,0.835821,0,0,1,0.637931,0,0,0,0,0,0,0,0,0.666667,1,0,0.545455,0,0] f_measure 0.556269 [0,0,0.857143,0.909091,0.75,0,0.78125,0,0,0.9,0.594595,0,0,0,0,0,0,0,0,0.592593,0.88,0,0.5,0,0] f_measure 0.5614 [0,0,0.888889,0.9,0,0,0.8,0,0,1,0.605042,0,0,0,0,0,0,0,0,0.6,1,0,0.5,0,0] kappa 0.604454 kappa 0.580571 kappa 0.61287 kappa 0.611174 kappa 0.613704 kappa 0.590709 kappa 0.595756 kappa 0.546763 kappa 0.587155 kappa 0.626676 kappa 0.567069 kappa 0.572202 kappa 0.600258 kappa 0.59168 kappa 0.633728 kappa 0.60524 kappa 0.564154 kappa 0.558048 kappa 0.582136 kappa 0.642688 kappa 0.563779 kappa 0.550253 kappa 0.547821 kappa 0.600653 kappa 0.5819 kappa 0.610718 kappa 0.586596 kappa 0.591221 kappa 0.556551 kappa 0.569948 kappa 0.546468 kappa 0.59637 kappa 0.593958 kappa 0.574913 kappa 0.547879 kappa 0.56466 kappa 0.550842 kappa 0.533851 kappa 0.517567 kappa 0.559305 kappa 0.547018 kappa 0.613154 kappa 0.582136 kappa 0.565843 kappa 0.59721 kappa 0.581355 kappa 0.614103 kappa 0.628203 kappa 0.592331 kappa 0.560313 kappa 0.579422 kappa 0.619825 kappa 0.588859 kappa 0.611914 kappa 0.558434 kappa 0.585928 kappa 0.569688 kappa 0.543191 kappa 0.572165 kappa 0.611544 kappa 0.56993 kappa 0.522087 kappa 0.595685 kappa 0.569818 kappa 0.585857 kappa 0.557759 kappa 0.605939 kappa 0.583041 kappa 0.619678 kappa 0.541219 kappa 0.602113 kappa 0.629931 kappa 0.561763 kappa 0.580888 kappa 0.549557 kappa 0.553782 kappa 0.624261 kappa 0.596595 kappa 0.553381 kappa 0.578117 kappa 0.61389 kappa 0.592431 kappa 0.572182 kappa 0.565351 kappa 0.610202 kappa 0.623849 kappa 0.596383 kappa 0.59431 kappa 0.619402 kappa 0.592952 kappa 0.607835 kappa 0.567327 kappa 0.565389 kappa 0.579211 kappa 0.570908 kappa 0.578303 kappa 0.539548 kappa 0.614571 kappa 0.559885 kappa 0.561831 kb_relative_information_score 92.199984 kb_relative_information_score 91.583303 kb_relative_information_score 96.753609 kb_relative_information_score 92.954882 kb_relative_information_score 93.313624 kb_relative_information_score 95.979646 kb_relative_information_score 94.729085 kb_relative_information_score 88.267115 kb_relative_information_score 94.247214 kb_relative_information_score 96.668583 kb_relative_information_score 91.447593 kb_relative_information_score 88.660922 kb_relative_information_score 92.197639 kb_relative_information_score 89.859103 kb_relative_information_score 97.2541 kb_relative_information_score 93.39612 kb_relative_information_score 88.1695 kb_relative_information_score 90.908401 kb_relative_information_score 92.973448 kb_relative_information_score 99.525351 kb_relative_information_score 90.569084 kb_relative_information_score 87.365284 kb_relative_information_score 88.139743 kb_relative_information_score 93.643941 kb_relative_information_score 95.559789 kb_relative_information_score 95.454669 kb_relative_information_score 91.301958 kb_relative_information_score 88.934846 kb_relative_information_score 90.997246 kb_relative_information_score 90.261362 kb_relative_information_score 90.758536 kb_relative_information_score 92.666078 kb_relative_information_score 94.732738 kb_relative_information_score 89.999789 kb_relative_information_score 88.302077 kb_relative_information_score 87.353336 kb_relative_information_score 87.49776 kb_relative_information_score 90.642331 kb_relative_information_score 85.695284 kb_relative_information_score 88.637328 kb_relative_information_score 86.784539 kb_relative_information_score 96.034432 kb_relative_information_score 92.243149 kb_relative_information_score 88.166396 kb_relative_information_score 89.961329 kb_relative_information_score 88.112242 kb_relative_information_score 93.319393 kb_relative_information_score 97.996658 kb_relative_information_score 93.83148 kb_relative_information_score 86.720688 kb_relative_information_score 94.841866 kb_relative_information_score 94.346965 kb_relative_information_score 93.576521 kb_relative_information_score 94.429941 kb_relative_information_score 91.505518 kb_relative_information_score 91.911842 kb_relative_information_score 91.092647 kb_relative_information_score 90.056736 kb_relative_information_score 89.946729 kb_relative_information_score 93.615005 kb_relative_information_score 89.243632 kb_relative_information_score 84.70546 kb_relative_information_score 90.98157 kb_relative_information_score 87.691599 kb_relative_information_score 92.956058 kb_relative_information_score 91.939724 kb_relative_information_score 95.737093 kb_relative_information_score 93.931527 kb_relative_information_score 96.211795 kb_relative_information_score 91.078071 kb_relative_information_score 91.957672 kb_relative_information_score 93.015573 kb_relative_information_score 93.400987 kb_relative_information_score 86.255026 kb_relative_information_score 88.995438 kb_relative_information_score 88.278369 kb_relative_information_score 94.088557 kb_relative_information_score 92.623932 kb_relative_information_score 89.540772 kb_relative_information_score 88.786177 kb_relative_information_score 94.640405 kb_relative_information_score 92.323894 kb_relative_information_score 89.943167 kb_relative_information_score 92.52342 kb_relative_information_score 91.252726 kb_relative_information_score 93.849448 kb_relative_information_score 93.857948 kb_relative_information_score 89.914754 kb_relative_information_score 93.79238 kb_relative_information_score 89.061402 kb_relative_information_score 90.913264 kb_relative_information_score 92.177361 kb_relative_information_score 89.813159 kb_relative_information_score 92.95666 kb_relative_information_score 89.624366 kb_relative_information_score 87.046476 kb_relative_information_score 85.891542 kb_relative_information_score 92.551685 kb_relative_information_score 87.476726 kb_relative_information_score 90.412742 mean_absolute_error 0.035888 mean_absolute_error 0.03426 mean_absolute_error 0.033388 mean_absolute_error 0.035251 mean_absolute_error 0.033568 mean_absolute_error 0.033441 mean_absolute_error 0.033292 mean_absolute_error 0.03604 mean_absolute_error 0.034319 mean_absolute_error 0.033231 mean_absolute_error 0.035167 mean_absolute_error 0.0371 mean_absolute_error 0.034755 mean_absolute_error 0.035543 mean_absolute_error 0.032142 mean_absolute_error 0.033832 mean_absolute_error 0.037696 mean_absolute_error 0.036189 mean_absolute_error 0.036006 mean_absolute_error 0.031961 mean_absolute_error 0.035346 mean_absolute_error 0.037496 mean_absolute_error 0.037176 mean_absolute_error 0.034588 mean_absolute_error 0.033481 mean_absolute_error 0.03373 mean_absolute_error 0.035269 mean_absolute_error 0.036394 mean_absolute_error 0.037078 mean_absolute_error 0.036255 mean_absolute_error 0.036018 mean_absolute_error 0.03537 mean_absolute_error 0.033974 mean_absolute_error 0.036139 mean_absolute_error 0.038323 mean_absolute_error 0.037494 mean_absolute_error 0.038445 mean_absolute_error 0.035984 mean_absolute_error 0.03737 mean_absolute_error 0.037751 mean_absolute_error 0.038523 mean_absolute_error 0.033937 mean_absolute_error 0.035729 mean_absolute_error 0.038051 mean_absolute_error 0.036015 mean_absolute_error 0.036825 mean_absolute_error 0.03442 mean_absolute_error 0.0324 mean_absolute_error 0.03474 mean_absolute_error 0.038252 mean_absolute_error 0.034194 mean_absolute_error 0.034266 mean_absolute_error 0.03586 mean_absolute_error 0.034366 mean_absolute_error 0.034886 mean_absolute_error 0.035161 mean_absolute_error 0.035505 mean_absolute_error 0.037573 mean_absolute_error 0.036561 mean_absolute_error 0.034562 mean_absolute_error 0.037443 mean_absolute_error 0.038578 mean_absolute_error 0.035743 mean_absolute_error 0.036588 mean_absolute_error 0.036807 mean_absolute_error 0.035271 mean_absolute_error 0.033311 mean_absolute_error 0.034263 mean_absolute_error 0.032572 mean_absolute_error 0.037512 mean_absolute_error 0.034554 mean_absolute_error 0.035072 mean_absolute_error 0.035127 mean_absolute_error 0.037014 mean_absolute_error 0.037601 mean_absolute_error 0.037152 mean_absolute_error 0.034624 mean_absolute_error 0.03428 mean_absolute_error 0.035551 mean_absolute_error 0.036661 mean_absolute_error 0.033282 mean_absolute_error 0.034613 mean_absolute_error 0.035278 mean_absolute_error 0.036995 mean_absolute_error 0.034913 mean_absolute_error 0.034286 mean_absolute_error 0.035036 mean_absolute_error 0.036549 mean_absolute_error 0.03401 mean_absolute_error 0.035569 mean_absolute_error 0.035459 mean_absolute_error 0.034904 mean_absolute_error 0.035573 mean_absolute_error 0.03429 mean_absolute_error 0.036248 mean_absolute_error 0.037489 mean_absolute_error 0.038939 mean_absolute_error 0.034495 mean_absolute_error 0.038003 mean_absolute_error 0.035029 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.070926 mean_prior_absolute_error 0.071001 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07092 mean_prior_absolute_error 0.071006 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070935 mean_prior_absolute_error 0.070986 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071026 mean_prior_absolute_error 0.070993 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071003 mean_prior_absolute_error 0.071007 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.071047 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 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mean_prior_absolute_error 0.071027 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07095 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.070996 mean_prior_absolute_error 0.070967 mean_prior_absolute_error 0.070983 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070938 mean_prior_absolute_error 0.070985 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.070956 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070948 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.070961 mean_prior_absolute_error 0.070957 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070974 mean_prior_absolute_error 0.070947 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.07096 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.070972 mean_prior_absolute_error 0.070984 mean_prior_absolute_error 0.070961 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,1,9,37,4,5,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,11,1,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,37,4,5,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,8,37,3,4,1,3,5,2,2,4,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,3,5,2,2,3,14,10,1,6,1,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,5,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,37,3,5,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,4,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,38,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,1,9,38,3,5,1,3,5,2,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,2,1,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,9,4,1,33,2,2,9,37,3,4,1,3,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,38,3,4,2,2,5,1,2,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1] number_of_instances 165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1] number_of_instances 165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1] number_of_instances 165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] precision 0.572666 [0,0,0.833333,1,1,0,0.866667,0,0,1,0.4625,0,0,0,0,0,0,0,0,0.583333,1,0,0.6,0,0] precision 0.541813 [0,0,1,0.833333,1,0,0.75,0,0,0.9,0.486842,0,0,0,0,0,0,0,0,0.545455,0.833333,0,1,0,0] precision 0.579899 [0,0,1,1,0.8,0,0.896552,0,0,1,0.454545,0,0,0,0,0,0,0,0,0.647059,1,0,0.6,0,0] precision 0.567813 [0,0,1,0.818182,1,0,0.823529,0,0,1,0.467532,0,0,0,0,0,0,0,0,0.785714,1,0,0.6,0,0] precision 0.541068 [0,0,1,0.909091,1,0,0.5,0,0,0.9,0.7,0,0,0,0,0,0,0,0,0.578947,1,0,0.5,0,0] precision 0.552881 [0,0,1,1,1,0,0.806452,0,0,0.888889,0.480519,0,0,0,0,0,0,0,0,0.5625,1,0,0.4,0,0] precision 0.547961 [0,0,0.8,1,1,0,0.763158,0,0,1,0.460526,0,0,0,0,0,0,0,0,0.818182,0.916667,0,0.333333,0,0] precision 0.49207 [0,0,1,0.909091,0.75,0,0.707317,0,0,0.888889,0.455882,0,0,0,0,0,0,0,0,0.5,0.733333,0,0.666667,0,0] precision 0.566156 [0,0,1,1,1,0,0.9,0,0,1,0.433735,0,0,0,0,0,0,0,0,0.6,0.909091,0,0.666667,0,0] precision 0.589066 [0,0,1,1,1,0,0.870968,0,0,1,0.480519,0,0,0,0,0,0,0,0,0.692308,1,0,0.428571,0,0] precision 0.53444 [0,0,0.833333,1,0,0,0.83871,0,0,1,0.444444,0,0,0,0,0,0,0,0,0.571429,1,0,0.5,0,0] precision 0.497846 [0,0,0.8,1,0,0,0.459016,0,0,0.818182,0.711111,0,0,0,0,0,0,0,0,0.5625,0.846154,0,0.666667,0,0] precision 0.540801 [0,0,1,0.909091,1,0,0.702703,0,0,0.9,0.5,0,0,0,0,0,0,0,0,0.625,0.785714,0,0.75,0,0] precision 0.519237 [0,0,0.833333,0.9,0,0,0.457627,0,0,1,0.7,0,0,0,0,0,0,0,0,0.6875,1,0,0.4,0,0] precision 0.584159 [0,0,1,1,1,0,0.818182,0,0,0.888889,0.486842,0,0,0,0,0,0,0,0,0.846154,1,0,0.5,0,0] precision 0.559945 [0,0,1,0.909091,1,0,0.818182,0,0,0.9,0.48,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] precision 0.515246 [0,0,0.833333,0.9,0.8,0,0.461538,0,0,1,0.666667,0,0,0,0,0,0,0,0,0.666667,0.818182,0,0.6,0,0] precision 0.550572 [0,0,0.75,1,1,0,0.862069,0,0,1,0.413793,0,0,0,0,0,0,0,0,0.818182,0.909091,0,0.333333,0,0] precision 0.56137 [0,0,0.625,1,1,0,0.8125,0,0,1,0.45,0,0,0,0,0,0,0,0,0.769231,1,0,0.6,0,0] precision 0.600419 [0,0,1,1,0.666667,0,0.896552,0,0,1,0.486486,0,0,0,0,0,0,0,0,0.666667,0.916667,0,1,0,0] precision 0.523418 [0,0,0.833333,0.9,0.8,0,0.426471,0,0,1,0.72093,0,0,0,0,0,0,0,0,0.636364,1,0,0.25,0,0] precision 0.54035 [0,0,0.833333,1,0,0,0.741935,0,0,1,0.440476,0,0,0,0,0,0,0,0,0.625,1,0,1,0,0] precision 0.501993 [0,0,0.8,1,0,0,0.421875,0,0,1,0.6875,0,0,0,0,0,0,0,0,0.6,1,0,0.428571,0,0] precision 0.528357 [0,0,0.833333,1,0,0,0.491803,0,0,0.9,0.727273,0,0,0,0,0,0,0,0,0.588235,0.733333,0,1,0,0] precision 0.550387 [0,0,0.8,0.75,1,0,0.763158,0,0,1,0.44,0,0,0,0,0,0,0,0,0.8,0.909091,0,1,0,0] precision 0.571067 [0,0,0.8,1,1,0,0.777778,0,0,1,0.460526,0,0,0,0,0,0,0,0,0.785714,0.909091,0,1,0,0] precision 0.550186 [0,0,1,1,0,0,0.75,0,0,1,0.444444,0,0,0,0,0,0,0,0,0.818182,1,0,0.75,0,0] precision 0.532398 [0,0,1,0.909091,1,0,0.72973,0,0,1,0.492958,0,0,0,0,0,0,0,0,0.6,0.833333,0,0.5,0,0] precision 0.509019 [0,0,1,0.714286,0.75,0,0.482759,0,0,1,0.62,0,0,0,0,0,0,0,0,0.666667,0.9,0,0.5,0,0] precision 0.534747 [0,0,0.75,0.818182,1,0,0.758621,0,0,0.9,0.473684,0,0,0,0,0,0,0,0,0.631579,0.833333,0,1,0,0] precision 0.533575 [0,0,1,0.818182,0,0,0.384615,0,0,1,0.815789,0,0,0,0,0,0,0,0,0.666667,0.9,0,1,0,0] precision 0.5633 [0,0,1,1,1,0,0.818182,0,0,1,0.443038,0,0,0,0,0,0,0,0,0.615385,1,0,0.75,0,0] precision 0.53855 [0,0,0.8,1,1,0,0.467742,0,0,1,0.727273,0,0,0,0,0,0,0,0,0.6,0.916667,0,0.428571,0,0] precision 0.550192 [0,0,0.833333,0.888889,1,0,0.774194,0,0,1,0.4625,0,0,0,0,0,0,0,0,0.615385,1,0,0.5,0,0] precision 0.525851 [0,0,1,1,0.8,0,0.422535,0,0,1,0.651163,0,0,0,0,0,0,0,0,0.818182,0.818182,0,0.6,0,0] precision 0.51449 [0,0,0.625,0.875,0.6,0,0.787879,0,0,1,0.492958,0,0,0,0,0,0,0,0,0.5,0.909091,0,0.4,0,0] precision 0.54398 [0,0,1,0.818182,1,0,0.764706,0,0,1,0.426829,0,0,0,0,0,0,0,0,0.545455,1,0,1,0,0] precision 0.52382 [0,0,0.625,1,0,0,0.707317,0,0,1,0.432099,0,0,0,0,0,0,0,0,0.75,0.9,0,1,0,0] precision 0.517847 [0,0,1,0.909091,0,0,0.37931,0,0,0.9,0.83871,0,0,0,0,0,0,0,0,0.444444,1,0,0.5,0,0] precision 0.500799 [0,0,1,0.818182,0.75,0,0.451613,0,0,1,0.674419,0,0,0,0,0,0,0,0,0.571429,0.909091,0,0.428571,0,0] precision 0.531229 [0,0,1,0.714286,0.8,0,0.806452,0,0,0.9,0.435897,0,0,0,0,0,0,0,0,0.5,1,0,1,0,0] precision 0.573094 [0,0,1,1,0.666667,0,0.83871,0,0,1,0.460526,0,0,0,0,0,0,0,0,0.833333,0.916667,0,0.5,0,0] precision 0.548333 [0,0,1,0.9,1,0,0.764706,0,0,0.888889,0.461538,0,0,0,0,0,0,0,0,0.692308,1,0,0.6,0,0] precision 0.543718 [0,0,1,0.909091,0.75,0,0.771429,0,0,1,0.45,0,0,0,0,0,0,0,0,0.636364,0.9,0,0.666667,0,0] precision 0.552816 [0,0,1,0.9,1,0,0.823529,0,0,1,0.454545,0,0,0,0,0,0,0,0,0.727273,0.909091,0,0.4,0,0] precision 0.523695 [0,0,1,0.818182,1,0,0.5,0,0,1,0.641509,0,0,0,0,0,0,0,0,0.692308,0.9,0,0.5,0,0] precision 0.550824 [0,0,1,0.909091,1,0,0.473684,0,0,1,0.714286,0,0,0,0,0,0,0,0,0.642857,1,0,0.428571,0,0] precision 0.584771 [0,0,0.833333,1,0.8,0,0.866667,0,0,1,0.486486,0,0,0,0,0,0,0,0,0.578947,1,0,1,0,0] precision 0.564565 [0,0,0.8,1,1,0,0.428571,0,0,1,0.775,0,0,0,0,0,0,0,0,0.6,1,0,0.75,0,0] precision 0.530718 [0,0,0.714286,1,1,0,0.8,0,0,1,0.448718,0,0,0,0,0,0,0,0,0.545455,0.888889,0,0.5,0,0] precision 0.527976 [0,0,0.75,1,1,0,0.742857,0,0,1,0.462687,0,0,0,0,0,0,0,0,0.6,0.818182,0,0.571429,0,0] precision 0.577282 [0,0,1,0.909091,1,0,0.8125,0,0,1,0.486486,0,0,0,0,0,0,0,0,0.631579,0.916667,0,1,0,0] precision 0.576168 [0,0,0.8,1,1,0,0.866667,0,0,1,0.439024,0,0,0,0,0,0,0,0,0.6,1,0,1,0,0] precision 0.578976 [0,0,1,1,1,0,0.84375,0,0,0.818182,0.447368,0,0,0,0,0,0,0,0,0.733333,0.916667,0,1,0,0] precision 0.527247 [0,0,1,1,0,0,0.8125,0,0,1,0.439024,0,0,0,0,0,0,0,0,0.533333,0.9,0,0.666667,0,0] precision 0.523483 [0,0,1,0.833333,0,0,0.415385,0,0,1,0.761905,0,0,0,0,0,0,0,0,0.666667,1,0,0.5,0,0] precision 0.511763 [0,0,0.833333,1,0,0,0.461538,0,0,0.9,0.680851,0,0,0,0,0,0,0,0,0.692308,1,0,0.428571,0,0] precision 0.525034 [0,0,0.833333,0.75,1,0,0.769231,0,0,0.9,0.441558,0,0,0,0,0,0,0,0,0.642857,1,0,0.444444,0,0] precision 0.519312 [0,0,0.833333,1,1,0,0.464286,0,0,1,0.62,0,0,0,0,0,0,0,0,0.555556,1,0,0.666667,0,0] precision 0.561454 [0,0,0.833333,0.9,1,0,0.84375,0,0,1,0.486842,0,0,0,0,0,0,0,0,0.615385,0.909091,0,0.6,0,0] precision 0.549699 [0,0,0.8,0.9,1,0,0.888889,0,0,0.9,0.443038,0,0,0,0,0,0,0,0,0.666667,0.909091,0,0.333333,0,0] precision 0.49377 [0,0,0.571429,0.777778,0.75,0,0.409091,0,0,1,0.690476,0,0,0,0,0,0,0,0,0.466667,1,0,0.75,0,0] precision 0.551723 [0,0,0.714286,0.888889,1,0,0.818182,0,0,0.9,0.474359,0,0,0,0,0,0,0,0,0.692308,1,0,0.666667,0,0] precision 0.514252 [0,0,1,0.909091,0.75,0,0.527273,0,0,1,0.625,0,0,0,0,0,0,0,0,0.5,1,0,0.25,0,0] precision 0.539369 [0,0,1,1,0.8,0,0.442623,0,0,1,0.702128,0,0,0,0,0,0,0,0,0.625,1,0,0.5,0,0] precision 0.536257 [0,0,0.8,1,0,0,0.866667,0,0,1,0.430233,0,0,0,0,0,0,0,0,0.5,1,0,0.8,0,0] precision 0.556036 [0,0,0.833333,1,1,0,0.83871,0,0,0.818182,0.493333,0,0,0,0,0,0,0,0,0.625,0.909091,0,0.5,0,0] precision 0.55852 [0,0,1,1,1,0,0.851852,0,0,0.9,0.444444,0,0,0,0,0,0,0,0,0.647059,1,0,0.333333,0,0] precision 0.562499 [0,0,0.714286,1,0.666667,0,0.810811,0,0,1,0.493151,0,0,0,0,0,0,0,0,0.666667,1,0,0.8,0,0] precision 0.509538 [0,0,0.75,1,1,0,0.424242,0,0,1,0.630435,0,0,0,0,0,0,0,0,0.642857,0.9,0,0.5,0,0] precision 0.551809 [0,0,1,1,1,0,0.757576,0,0,1,0.486111,0,0,0,0,0,0,0,0,0.666667,0.785714,0,0.6,0,0] precision 0.57265 [0,0,0.833333,1,1,0,0.780488,0,0,1,0.478873,0,0,0,0,0,0,0,0,0.846154,1,0,0.5,0,0] precision 0.519726 [0,0,0.714286,1,0.75,0,0.454545,0,0,1,0.666667,0,0,0,0,0,0,0,0,0.666667,0.833333,0,0.6,0,0] precision 0.523056 [0,0,0.8,0.9,1,0,0.717949,0,0,1,0.514286,0,0,0,0,0,0,0,0,0.583333,0.8,0,0.333333,0,0] precision 0.55228 [0,0,0.75,1,1,0,0.821429,0,0,1,0.421687,0,0,0,0,0,0,0,0,0.583333,0.75,0,1,0,0] precision 0.521978 [0,0,0.8,1,1,0,0.432836,0,0,1,0.642857,0,0,0,0,0,0,0,0,0.642857,0.818182,0,0.75,0,0] precision 0.577821 [0,0,1,0.833333,1,0,0.823529,0,0,1,0.479452,0,0,0,0,0,0,0,0,0.642857,0.909091,0,1,0,0] precision 0.555174 [0,0,0.714286,1,1,0,0.764706,0,0,1,0.514286,0,0,0,0,0,0,0,0,0.526316,1,0,0.4,0,0] precision 0.526407 [0,0,1,1,0,0,0.787879,0,0,1,0.428571,0,0,0,0,0,0,0,0,0.714286,0.9,0,0.5,0,0] precision 0.524187 [0,0,1,1,0,0,0.462687,0,0,1,0.666667,0,0,0,0,0,0,0,0,0.888889,1,0,0.333333,0,0] precision 0.575489 [0,0,1,1,1,0,0.823529,0,0,1,0.4625,0,0,0,0,0,0,0,0,0.833333,1,0,0.333333,0,0] precision 0.566097 [0,0,1,1,1,0,0.8125,0,0,1,0.45679,0,0,0,0,0,0,0,0,0.692308,1,0,0.5,0,0] precision 0.543171 [0,0,1,0.818182,1,0,0.78125,0,0,1,0.448718,0,0,0,0,0,0,0,0,0.583333,0.909091,0,0.8,0,0] precision 0.550862 [0,0,0.8,0.9,1,0,0.846154,0,0,1,0.421687,0,0,0,0,0,0,0,0,0.666667,1,0,0.75,0,0] precision 0.557761 [0,0,0.555556,1,1,0,0.769231,0,0,0.9,0.507246,0,0,0,0,0,0,0,0,0.692308,1,0,0.666667,0,0] precision 0.583253 [0,0,1,1,1,0,0.848485,0,0,0.888889,0.466667,0,0,0,0,0,0,0,0,0.692308,0.833333,0,1,0,0] precision 0.561755 [0,0,0.8,1,1,0,0.862069,0,0,1,0.466667,0,0,0,0,0,0,0,0,0.705882,0.769231,0,0.4,0,0] precision 0.572273 [0,0,1,1,1,0,0.430556,0,0,1,0.744186,0,0,0,0,0,0,0,0,0.727273,1,0,0.75,0,0] precision 0.555268 [0,0,0.833333,1,1,0,0.484375,0,0,1,0.744186,0,0,0,0,0,0,0,0,0.714286,0.833333,0,0.6,0,0] precision 0.563197 [0,0,0.833333,1,1,0,0.848485,0,0,0.8,0.455696,0,0,0,0,0,0,0,0,0.75,0.909091,0,0.5,0,0] precision 0.57053 [0,0,0.833333,1,0.75,0,0.805556,0,0,0.888889,0.473684,0,0,0,0,0,0,0,0,0.75,0.909091,0,1,0,0] precision 0.520682 [0,0,1,0.9,0.8,0,0.467742,0,0,1,0.666667,0,0,0,0,0,0,0,0,0.571429,0.818182,0,0.666667,0,0] precision 0.541505 [0,0,1,0.769231,1,0,0.833333,0,0,1,0.443038,0,0,0,0,0,0,0,0,0.727273,0.818182,0,0.4,0,0] precision 0.529645 [0,0,0.8,1,1,0,0.75,0,0,1,0.479452,0,0,0,0,0,0,0,0,0.555556,1,0,0.5,0,0] precision 0.520217 [0,0,0.833333,1,0.75,0,0.448276,0,0,1,0.704545,0,0,0,0,0,0,0,0,0.473684,1,0,0.4,0,0] precision 0.555623 [0,0,0.833333,0.888889,1,0,0.787879,0,0,1,0.45,0,0,0,0,0,0,0,0,0.777778,0.916667,0,0.5,0,0] precision 0.516608 [0,0,0.8,1,0.571429,0,0.814815,0,0,1,0.447368,0,0,0,0,0,0,0,0,0.444444,0.909091,0,0.5,0,0] precision 0.578216 [0,0,1,0.9,1,0,0.823529,0,0,1,0.468354,0,0,0,0,0,0,0,0,0.8,1,0,0.6,0,0] precision 0.532614 [0,0,1,0.833333,0.75,0,0.806452,0,0,0.818182,0.445946,0,0,0,0,0,0,0,0,0.571429,0.785714,0,1,0,0] precision 0.545039 [0,0,1,0.9,0,0,0.8125,0,0,1,0.439024,0,0,0,0,0,0,0,0,0.5625,1,0,1,0,0] predictive_accuracy 0.668675 predictive_accuracy 0.650602 predictive_accuracy 0.674699 predictive_accuracy 0.674699 predictive_accuracy 0.674699 predictive_accuracy 0.656627 predictive_accuracy 0.662651 predictive_accuracy 0.620482 predictive_accuracy 0.656627 predictive_accuracy 0.686747 predictive_accuracy 0.638554 predictive_accuracy 0.638554 predictive_accuracy 0.662651 predictive_accuracy 0.656627 predictive_accuracy 0.692771 predictive_accuracy 0.668675 predictive_accuracy 0.63253 predictive_accuracy 0.63253 predictive_accuracy 0.650602 predictive_accuracy 0.698795 predictive_accuracy 0.63253 predictive_accuracy 0.626506 predictive_accuracy 0.620482 predictive_accuracy 0.662651 predictive_accuracy 0.650602 predictive_accuracy 0.674699 predictive_accuracy 0.656627 predictive_accuracy 0.656627 predictive_accuracy 0.626506 predictive_accuracy 0.638554 predictive_accuracy 0.620482 predictive_accuracy 0.662651 predictive_accuracy 0.656627 predictive_accuracy 0.644578 predictive_accuracy 0.620482 predictive_accuracy 0.63253 predictive_accuracy 0.626506 predictive_accuracy 0.614458 predictive_accuracy 0.596386 predictive_accuracy 0.626506 predictive_accuracy 0.620482 predictive_accuracy 0.674699 predictive_accuracy 0.650602 predictive_accuracy 0.638554 predictive_accuracy 0.662651 predictive_accuracy 0.650602 predictive_accuracy 0.674699 predictive_accuracy 0.686747 predictive_accuracy 0.656627 predictive_accuracy 0.63253 predictive_accuracy 0.644578 predictive_accuracy 0.680723 predictive_accuracy 0.656627 predictive_accuracy 0.674699 predictive_accuracy 0.63253 predictive_accuracy 0.650602 predictive_accuracy 0.638554 predictive_accuracy 0.614458 predictive_accuracy 0.638554 predictive_accuracy 0.674699 predictive_accuracy 0.638554 predictive_accuracy 0.596386 predictive_accuracy 0.662651 predictive_accuracy 0.638554 predictive_accuracy 0.650602 predictive_accuracy 0.63253 predictive_accuracy 0.668675 predictive_accuracy 0.650602 predictive_accuracy 0.680723 predictive_accuracy 0.614458 predictive_accuracy 0.666667 predictive_accuracy 0.690909 predictive_accuracy 0.630303 predictive_accuracy 0.648485 predictive_accuracy 0.624242 predictive_accuracy 0.624242 predictive_accuracy 0.684848 predictive_accuracy 0.660606 predictive_accuracy 0.630303 predictive_accuracy 0.648485 predictive_accuracy 0.678788 predictive_accuracy 0.660606 predictive_accuracy 0.642424 predictive_accuracy 0.636364 predictive_accuracy 0.672727 predictive_accuracy 0.684848 predictive_accuracy 0.660606 predictive_accuracy 0.660606 predictive_accuracy 0.678788 predictive_accuracy 0.660606 predictive_accuracy 0.672727 predictive_accuracy 0.636364 predictive_accuracy 0.636364 predictive_accuracy 0.648485 predictive_accuracy 0.636364 predictive_accuracy 0.648485 predictive_accuracy 0.612121 predictive_accuracy 0.678788 predictive_accuracy 0.630303 predictive_accuracy 0.636364 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.668675 [0,0,1,0.9,1,0,0.787879,0,0,1,1,0,0,0,0,0,0,0,0,0.538462,1,0,0.5,0,0] recall 0.650602 [0,0,0.75,1,1,0,0.818182,0,0,1,0.973684,0,0,0,0,0,0,0,0,0.461538,0.909091,0,0.333333,0,0] recall 0.674699 [0,0,1,1,1,0,0.787879,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.785714,0.909091,0,0.5,0,0] recall 0.674699 [0,0,0.6,0.9,1,0,0.848485,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.785714,1,0,0.5,0,0] recall 0.674699 [0,0,1,1,1,0,0.848485,0,0,1,0.921053,0,0,0,0,0,0,0,0,0.846154,0.909091,0,0.166667,0,0] recall 0.656627 [0,0,1,1,1,0,0.757576,0,0,1,1,0,0,0,0,0,0,0,0,0.642857,0.818182,0,0.333333,0,0] recall 0.662651 [0,0,1,0.9,1,0,0.878788,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.642857,1,0,0.166667,0,0] recall 0.620482 [0,0,0.75,1,1,0,0.878788,0,0,1,0.815789,0,0,0,0,0,0,0,0,0.461538,1,0,0.333333,0,0] recall 0.656627 [0,0,1,1,1,0,0.818182,0,0,1,0.947368,0,0,0,0,0,0,0,0,0.461538,0.909091,0,0.666667,0,0] recall 0.686747 [0,0,0.8,1,1,0,0.818182,0,0,1,1,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] recall 0.638554 [0,0,1,0.8,0,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.615385,1,0,0.5,0,0] recall 0.638554 [0,0,1,0.9,0,0,0.848485,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.692308,1,0,0.666667,0,0] recall 0.662651 [0,0,0.8,1,1,0,0.787879,0,0,1,0.891892,0,0,0,0,0,0,0,0,0.714286,1,0,0.5,0,0] recall 0.656627 [0,0,1,0.9,0,0,0.818182,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.785714,1,0,0.333333,0,0] recall 0.692771 [0,0,1,1,1,0,0.818182,0,0,1,1,0,0,0,0,0,0,0,0,0.785714,0.909091,0,0.5,0,0] recall 0.668675 [0,0,0.8,1,0.75,0,0.818182,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] recall 0.63253 [0,0,1,0.9,1,0,0.909091,0,0,0.875,0.810811,0,0,0,0,0,0,0,0,0.615385,0.818182,0,0.5,0,0] recall 0.63253 [0,0,0.75,0.9,1,0,0.757576,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.166667,0,0] recall 0.650602 [0,0,1,0.6,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.769231,0.909091,0,0.5,0,0] recall 0.698795 [0,0,1,1,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.857143,1,0,0.5,0,0] recall 0.63253 [0,0,1,0.9,1,0,0.878788,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.538462,0.909091,0,0.166667,0,0] recall 0.626506 [0,0,1,0.9,0,0,0.69697,0,0,1,1,0,0,0,0,0,0,0,0,0.714286,0.909091,0,0.166667,0,0] recall 0.620482 [0,0,0.8,0.888889,0,0,0.818182,0,0,1,0.891892,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.5,0,0] recall 0.662651 [0,0,1,0.9,0,0,0.909091,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.714286,1,0,0.666667,0,0] recall 0.650602 [0,0,1,0.9,1,0,0.878788,0,0,1,0.891892,0,0,0,0,0,0,0,0,0.571429,0.909091,0,0.5,0,0] recall 0.674699 [0,0,0.8,0.9,1,0,0.848485,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.785714,1,0,0.5,0,0] recall 0.656627 [0,0,1,1,0,0,0.818182,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.5,0,0] recall 0.656627 [0,0,0.8,1,1,0,0.818182,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.333333,0,0] recall 0.626506 [0,0,0.6,1,1,0,0.848485,0,0,0.888889,0.837838,0,0,0,0,0,0,0,0,0.714286,0.818182,0,0.333333,0,0] recall 0.638554 [0,0,0.6,0.9,1,0,0.666667,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.857143,1,0,0.333333,0,0] recall 0.620482 [0,0,0.6,1,0,0,0.909091,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.714286,0.9,0,0.333333,0,0] recall 0.662651 [0,0,1,1,1,0,0.818182,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.571429,1,0,0.5,0,0] recall 0.656627 [0,0,0.8,0.9,1,0,0.878788,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] recall 0.644578 [0,0,1,0.8,1,0,0.727273,0,0,1,1,0,0,0,0,0,0,0,0,0.571429,0.909091,0,0.333333,0,0] recall 0.620482 [0,0,0.75,0.9,1,0,0.909091,0,0,1,0.756757,0,0,0,0,0,0,0,0,0.642857,0.818182,0,0.5,0,0] recall 0.63253 [0,0,1,0.7,1,0,0.787879,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.571429,1,0,0.333333,0,0] recall 0.626506 [0,0,0.6,0.9,1,0,0.787879,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.461538,0.909091,0,0.5,0,0] recall 0.614458 [0,0,1,0.7,0,0,0.878788,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.428571,0.9,0,0.333333,0,0] recall 0.596386 [0,0,1,1,0,0,1,0,0,1,0.702703,0,0,0,0,0,0,0,0,0.285714,1,0,0.166667,0,0] recall 0.626506 [0,0,1,1,1,0,0.848485,0,0,1,0.783784,0,0,0,0,0,0,0,0,0.571429,1,0,0.5,0,0] recall 0.620482 [0,0,0.75,1,1,0,0.757576,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.5,0.9,0,0.333333,0,0] recall 0.674699 [0,0,1,1,1,0,0.787879,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.714286,1,0,0.5,0,0] recall 0.650602 [0,0,1,0.9,0.75,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.692308,0.818182,0,0.5,0,0] recall 0.638554 [0,0,0.6,1,1,0,0.818182,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.5,0.818182,0,0.333333,0,0] recall 0.662651 [0,0,1,1,1,0,0.848485,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.571429,1,0,0.333333,0,0] recall 0.650602 [0,0,0.6,1,1,0,0.939394,0,0,1,0.894737,0,0,0,0,0,0,0,0,0.642857,0.9,0,0.166667,0,0] recall 0.674699 [0,0,1,1,1,0,0.818182,0,0,1,0.921053,0,0,0,0,0,0,0,0,0.642857,1,0,0.5,0,0] recall 0.686747 [0,0,1,0.9,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.785714,1,0,0.666667,0,0] recall 0.656627 [0,0,0.8,0.9,1,0,0.909091,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.5,0,0] recall 0.63253 [0,0,1,0.8,1,0,0.848485,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.428571,0.8,0,0.5,0,0] recall 0.644578 [0,0,0.75,0.9,1,0,0.787879,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.857143,0.9,0,0.666667,0,0] recall 0.680723 [0,0,0.8,1,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.857143,1,0,0.333333,0,0] recall 0.656627 [0,0,0.8,0.9,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.692308,0.909091,0,0.5,0,0] recall 0.674699 [0,0,1,1,0.666667,0,0.818182,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.785714,1,0,0.5,0,0] recall 0.63253 [0,0,1,1,0,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.571429,0.9,0,0.333333,0,0] recall 0.650602 [0,0,1,1,0,0,0.818182,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.923077,1,0,0.333333,0,0] recall 0.638554 [0,0,1,0.888889,0,0,0.909091,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.5,0,0] recall 0.614458 [0,0,1,0.9,0.75,0,0.606061,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.642857,0.9,0,0.666667,0,0] recall 0.638554 [0,0,1,0.9,1,0,0.787879,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.714286,0.9,0,0.666667,0,0] recall 0.674699 [0,0,1,0.9,1,0,0.818182,0,0,1,0.973684,0,0,0,0,0,0,0,0,0.615385,1,0,0.5,0,0] recall 0.638554 [0,0,0.8,0.9,0.75,0,0.727273,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.714286,1,0,0.333333,0,0] recall 0.596386 [0,0,0.8,0.7,1,0,0.818182,0,0,1,0.783784,0,0,0,0,0,0,0,0,0.5,1,0,0.5,0,0] recall 0.662651 [0,0,1,0.8,1,0,0.818182,0,0,1,0.973684,0,0,0,0,0,0,0,0,0.692308,1,0,0.333333,0,0] recall 0.638554 [0,0,0.6,1,1,0,0.878788,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.357143,0.909091,0,0.333333,0,0] recall 0.650602 [0,0,1,0.7,1,0,0.818182,0,0,1,0.891892,0,0,0,0,0,0,0,0,0.714286,1,0,0.5,0,0] recall 0.63253 [0,0,1,0.9,0,0,0.787879,0,0,1,1,0,0,0,0,0,0,0,0,0.461538,0.909091,0,0.666667,0,0] recall 0.668675 [0,0,1,0.9,0.75,0,0.787879,0,0,1,1,0,0,0,0,0,0,0,0,0.714286,1,0,0.333333,0,0] recall 0.650602 [0,0,1,1,1,0,0.69697,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.785714,0.9,0,0.166667,0,0] recall 0.680723 [0,0,1,0.8,1,0,0.909091,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.571429,1,0,0.666667,0,0] recall 0.614458 [0,0,0.75,0.9,1,0,0.848485,0,0,1,0.783784,0,0,0,0,0,0,0,0,0.692308,0.818182,0,0.333333,0,0] recall 0.666667 [0,0,1,1,1,0,0.757576,0,0,1,0.921053,0,0,0,0,0,0,0,0,0.714286,1,0,0.5,0,0] recall 0.690909 [0,0,1,0.9,1,0,0.969697,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.785714,0.9,0,0.333333,0,0] recall 0.630303 [0,0,1,0.8,1,0,0.909091,0,0,1,0.756757,0,0,0,0,0,0,0,0,0.571429,1,0,0.5,0,0] recall 0.648485 [0,0,0.8,0.9,1,0,0.848485,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.538462,0.8,0,0.333333,0,0] recall 0.624242 [0,0,0.6,0.9,1,0,0.69697,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.5,0.9,0,0.666667,0,0] recall 0.624242 [0,0,1,0.9,1,0,0.878788,0,0,1,0.72973,0,0,0,0,0,0,0,0,0.692308,0.818182,0,0.5,0,0] recall 0.684848 [0,0,0.8,1,1,0,0.848485,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.642857,1,0,0.666667,0,0] recall 0.660606 [0,0,1,0.7,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.714286,0.909091,0,0.333333,0,0] recall 0.630303 [0,0,0.8,1,0,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.714286,0.9,0,0.166667,0,0] recall 0.648485 [0,0,1,1,0,0,0.939394,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.615385,0.909091,0,0.333333,0,0] recall 0.678788 [0,0,1,1,1,0,0.848485,0,0,1,1,0,0,0,0,0,0,0,0,0.714286,0.909091,0,0.166667,0,0] recall 0.660606 [0,0,1,1,1,0,0.787879,0,0,1,1,0,0,0,0,0,0,0,0,0.642857,0.8,0,0.333333,0,0] recall 0.642424 [0,0,0.8,0.9,1,0,0.757576,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.5,1,0,0.666667,0,0] recall 0.636364 [0,0,1,0.9,1,0,0.666667,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.769231,1,0,0.5,0,0] recall 0.672727 [0,0,1,0.6,0.666667,0,0.909091,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.692308,1,0,0.666667,0,0] recall 0.684848 [0,0,1,1,1,0,0.848485,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.666667,0,0] recall 0.660606 [0,0,0.8,0.8,1,0,0.757576,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.857143,1,0,0.333333,0,0] recall 0.660606 [0,0,1,0.9,1,0,0.939394,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.571429,0.818182,0,0.5,0,0] recall 0.678788 [0,0,1,0.888889,1,0,0.939394,0,0,1,0.864865,0,0,0,0,0,0,0,0,0.714286,1,0,0.5,0,0] recall 0.660606 [0,0,1,0.9,0.75,0,0.848485,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.166667,0,0] recall 0.672727 [0,0,1,0.9,1,0,0.878788,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.642857,0.909091,0,0.333333,0,0] recall 0.636364 [0,0,0.8,0.9,1,0,0.878788,0,0,0.888889,0.864865,0,0,0,0,0,0,0,0,0.615385,0.9,0,0.333333,0,0] recall 0.636364 [0,0,0.75,1,1,0,0.757576,0,0,1,0.945946,0,0,0,0,0,0,0,0,0.571429,0.9,0,0.333333,0,0] recall 0.648485 [0,0,1,0.888889,1,0,0.818182,0,0,1,0.921053,0,0,0,0,0,0,0,0,0.769231,0.9,0,0.333333,0,0] recall 0.636364 [0,0,1,0.9,1,0,0.787879,0,0,1,0.837838,0,0,0,0,0,0,0,0,0.692308,1,0,0.333333,0,0] recall 0.648485 [0,0,1,0.8,1,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.5,1,0,0.333333,0,0] recall 0.612121 [0,0,1,0.9,1,0,0.666667,0,0,1,0.918919,0,0,0,0,0,0,0,0,0.571429,1,0,0.333333,0,0] recall 0.678788 [0,0,0.8,1,1,0,0.848485,0,0,1,1,0,0,0,0,0,0,0,0,0.571429,1,0,0.5,0,0] recall 0.630303 [0,0,0.75,1,0.75,0,0.757576,0,0,1,0.891892,0,0,0,0,0,0,0,0,0.615385,1,0,0.333333,0,0] recall 0.636364 [0,0,0.8,0.9,0,0,0.787879,0,0,1,0.972973,0,0,0,0,0,0,0,0,0.642857,1,0,0.333333,0,0] relative_absolute_error 0.505302 relative_absolute_error 0.483031 relative_absolute_error 0.470242 relative_absolute_error 0.496254 relative_absolute_error 0.473327 relative_absolute_error 0.470956 relative_absolute_error 0.468812 relative_absolute_error 0.507964 relative_absolute_error 0.48381 relative_absolute_error 0.468136 relative_absolute_error 0.495112 relative_absolute_error 0.522342 relative_absolute_error 0.489561 relative_absolute_error 0.500687 relative_absolute_error 0.452681 relative_absolute_error 0.476458 relative_absolute_error 0.530645 relative_absolute_error 0.509372 relative_absolute_error 0.506962 relative_absolute_error 0.45023 relative_absolute_error 0.497628 relative_absolute_error 0.528188 relative_absolute_error 0.523505 relative_absolute_error 0.487238 relative_absolute_error 0.471445 relative_absolute_error 0.474983 relative_absolute_error 0.496576 relative_absolute_error 0.512271 relative_absolute_error 0.522318 relative_absolute_error 0.51054 relative_absolute_error 0.507021 relative_absolute_error 0.49796 relative_absolute_error 0.478447 relative_absolute_error 0.509082 relative_absolute_error 0.539623 relative_absolute_error 0.527944 relative_absolute_error 0.541321 relative_absolute_error 0.506703 relative_absolute_error 0.526467 relative_absolute_error 0.531439 relative_absolute_error 0.542393 relative_absolute_error 0.477929 relative_absolute_error 0.502939 relative_absolute_error 0.535961 relative_absolute_error 0.507008 relative_absolute_error 0.519093 relative_absolute_error 0.48555 relative_absolute_error 0.456279 relative_absolute_error 0.489368 relative_absolute_error 0.538612 relative_absolute_error 0.481449 relative_absolute_error 0.482569 relative_absolute_error 0.504792 relative_absolute_error 0.484076 relative_absolute_error 0.491251 relative_absolute_error 0.49504 relative_absolute_error 0.499973 relative_absolute_error 0.52913 relative_absolute_error 0.514695 relative_absolute_error 0.487135 relative_absolute_error 0.527265 relative_absolute_error 0.543238 relative_absolute_error 0.503775 relative_absolute_error 0.515362 relative_absolute_error 0.518281 relative_absolute_error 0.496543 relative_absolute_error 0.469052 relative_absolute_error 0.482511 relative_absolute_error 0.458537 relative_absolute_error 0.528099 relative_absolute_error 0.48766 relative_absolute_error 0.494169 relative_absolute_error 0.494999 relative_absolute_error 0.521355 relative_absolute_error 0.529834 relative_absolute_error 0.523391 relative_absolute_error 0.48788 relative_absolute_error 0.483236 relative_absolute_error 0.50082 relative_absolute_error 0.51635 relative_absolute_error 0.469069 relative_absolute_error 0.487711 relative_absolute_error 0.497129 relative_absolute_error 0.520914 relative_absolute_error 0.491906 relative_absolute_error 0.483193 relative_absolute_error 0.49369 relative_absolute_error 0.515152 relative_absolute_error 0.479092 relative_absolute_error 0.501247 relative_absolute_error 0.49973 relative_absolute_error 0.491602 relative_absolute_error 0.501217 relative_absolute_error 0.483326 relative_absolute_error 0.510716 relative_absolute_error 0.528309 relative_absolute_error 0.548508 relative_absolute_error 0.486043 relative_absolute_error 0.535375 relative_absolute_error 0.493642 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188112 root_mean_prior_squared_error 0.188311 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188094 root_mean_prior_squared_error 0.188322 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188135 root_mean_prior_squared_error 0.188271 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188375 root_mean_prior_squared_error 0.188288 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188315 root_mean_prior_squared_error 0.188327 root_mean_prior_squared_error 0.18841 root_mean_prior_squared_error 0.188431 root_mean_prior_squared_error 0.18837 root_mean_prior_squared_error 0.188277 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188278 root_mean_prior_squared_error 0.188341 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188372 root_mean_prior_squared_error 0.188426 root_mean_prior_squared_error 0.188272 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188384 root_mean_prior_squared_error 0.188332 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188358 root_mean_prior_squared_error 0.188364 root_mean_prior_squared_error 0.188351 root_mean_prior_squared_error 0.18826 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188295 root_mean_prior_squared_error 0.188401 root_mean_prior_squared_error 0.188151 root_mean_prior_squared_error 0.188009 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.188282 root_mean_prior_squared_error 0.188357 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188378 root_mean_prior_squared_error 0.188342 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188175 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188349 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.188356 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188296 root_mean_prior_squared_error 0.188221 root_mean_prior_squared_error 0.188263 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188143 root_mean_prior_squared_error 0.188267 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188359 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188191 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188168 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188202 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188237 root_mean_prior_squared_error 0.188166 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188201 root_mean_prior_squared_error 0.188281 root_mean_prior_squared_error 0.188232 root_mean_prior_squared_error 0.188264 root_mean_prior_squared_error 0.188202 root_mean_squared_error 0.132602 root_mean_squared_error 0.133411 root_mean_squared_error 0.124643 root_mean_squared_error 0.130396 root_mean_squared_error 0.131436 root_mean_squared_error 0.128801 root_mean_squared_error 0.128021 root_mean_squared_error 0.138191 root_mean_squared_error 0.128055 root_mean_squared_error 0.127169 root_mean_squared_error 0.132439 root_mean_squared_error 0.137084 root_mean_squared_error 0.133352 root_mean_squared_error 0.133561 root_mean_squared_error 0.125747 root_mean_squared_error 0.13011 root_mean_squared_error 0.138822 root_mean_squared_error 0.134214 root_mean_squared_error 0.130805 root_mean_squared_error 0.122097 root_mean_squared_error 0.135563 root_mean_squared_error 0.134961 root_mean_squared_error 0.137272 root_mean_squared_error 0.133093 root_mean_squared_error 0.127116 root_mean_squared_error 0.127703 root_mean_squared_error 0.130756 root_mean_squared_error 0.137202 root_mean_squared_error 0.132643 root_mean_squared_error 0.134972 root_mean_squared_error 0.132378 root_mean_squared_error 0.133872 root_mean_squared_error 0.127938 root_mean_squared_error 0.136608 root_mean_squared_error 0.137485 root_mean_squared_error 0.140082 root_mean_squared_error 0.138385 root_mean_squared_error 0.133301 root_mean_squared_error 0.140388 root_mean_squared_error 0.138172 root_mean_squared_error 0.139646 root_mean_squared_error 0.128454 root_mean_squared_error 0.132173 root_mean_squared_error 0.13539 root_mean_squared_error 0.134065 root_mean_squared_error 0.137277 root_mean_squared_error 0.128459 root_mean_squared_error 0.127213 root_mean_squared_error 0.130144 root_mean_squared_error 0.138195 root_mean_squared_error 0.131994 root_mean_squared_error 0.130704 root_mean_squared_error 0.131408 root_mean_squared_error 0.130551 root_mean_squared_error 0.131069 root_mean_squared_error 0.132126 root_mean_squared_error 0.13309 root_mean_squared_error 0.134788 root_mean_squared_error 0.139572 root_mean_squared_error 0.131235 root_mean_squared_error 0.136184 root_mean_squared_error 0.137639 root_mean_squared_error 0.132156 root_mean_squared_error 0.136016 root_mean_squared_error 0.131762 root_mean_squared_error 0.130529 root_mean_squared_error 0.129004 root_mean_squared_error 0.130044 root_mean_squared_error 0.126059 root_mean_squared_error 0.13749 root_mean_squared_error 0.132211 root_mean_squared_error 0.129808 root_mean_squared_error 0.130277 root_mean_squared_error 0.139971 root_mean_squared_error 0.136046 root_mean_squared_error 0.138519 root_mean_squared_error 0.127213 root_mean_squared_error 0.13236 root_mean_squared_error 0.134819 root_mean_squared_error 0.133713 root_mean_squared_error 0.124609 root_mean_squared_error 0.13133 root_mean_squared_error 0.135005 root_mean_squared_error 0.131795 root_mean_squared_error 0.133945 root_mean_squared_error 0.129763 root_mean_squared_error 0.131699 root_mean_squared_error 0.133039 root_mean_squared_error 0.128897 root_mean_squared_error 0.136471 root_mean_squared_error 0.133422 root_mean_squared_error 0.13393 root_mean_squared_error 0.137875 root_mean_squared_error 0.130986 root_mean_squared_error 0.135958 root_mean_squared_error 0.139114 root_mean_squared_error 0.141807 root_mean_squared_error 0.129482 root_mean_squared_error 0.137518 root_mean_squared_error 0.13109 root_relative_squared_error 0.703949 root_relative_squared_error 0.709211 root_relative_squared_error 0.661903 root_relative_squared_error 0.692124 root_relative_squared_error 0.698779 root_relative_squared_error 0.68394 root_relative_squared_error 0.679721 root_relative_squared_error 0.734381 root_relative_squared_error 0.680655 root_relative_squared_error 0.67546 root_relative_squared_error 0.703036 root_relative_squared_error 0.727718 root_relative_squared_error 0.70823 root_relative_squared_error 0.70939 root_relative_squared_error 0.667747 root_relative_squared_error 0.690877 root_relative_squared_error 0.736807 root_relative_squared_error 0.712271 root_relative_squared_error 0.694407 root_relative_squared_error 0.648495 root_relative_squared_error 0.71962 root_relative_squared_error 0.716819 root_relative_squared_error 0.728847 root_relative_squared_error 0.7069 root_relative_squared_error 0.674873 root_relative_squared_error 0.678042 root_relative_squared_error 0.694138 root_relative_squared_error 0.728146 root_relative_squared_error 0.704528 root_relative_squared_error 0.716642 root_relative_squared_error 0.702615 root_relative_squared_error 0.710631 root_relative_squared_error 0.679325 root_relative_squared_error 0.725571 root_relative_squared_error 0.729928 root_relative_squared_error 0.7437 root_relative_squared_error 0.734669 root_relative_squared_error 0.707725 root_relative_squared_error 0.745714 root_relative_squared_error 0.733394 root_relative_squared_error 0.741345 root_relative_squared_error 0.682068 root_relative_squared_error 0.701509 root_relative_squared_error 0.719031 root_relative_squared_error 0.711591 root_relative_squared_error 0.729607 root_relative_squared_error 0.68326 root_relative_squared_error 0.675469 root_relative_squared_error 0.691219 root_relative_squared_error 0.733686 root_relative_squared_error 0.700721 root_relative_squared_error 0.694016 root_relative_squared_error 0.697449 root_relative_squared_error 0.693347 root_relative_squared_error 0.695892 root_relative_squared_error 0.701386 root_relative_squared_error 0.706639 root_relative_squared_error 0.715692 root_relative_squared_error 0.740829 root_relative_squared_error 0.697407 root_relative_squared_error 0.723061 root_relative_squared_error 0.730769 root_relative_squared_error 0.702314 root_relative_squared_error 0.722372 root_relative_squared_error 0.69954 root_relative_squared_error 0.692858 root_relative_squared_error 0.684895 root_relative_squared_error 0.690497 root_relative_squared_error 0.669099 root_relative_squared_error 0.729806 root_relative_squared_error 0.703532 root_relative_squared_error 0.689623 root_relative_squared_error 0.69219 root_relative_squared_error 0.743355 root_relative_squared_error 0.722799 root_relative_squared_error 0.735777 root_relative_squared_error 0.675863 root_relative_squared_error 0.703508 root_relative_squared_error 0.716105 root_relative_squared_error 0.710083 root_relative_squared_error 0.662167 root_relative_squared_error 0.697705 root_relative_squared_error 0.717312 root_relative_squared_error 0.699701 root_relative_squared_error 0.711559 root_relative_squared_error 0.689526 root_relative_squared_error 0.699699 root_relative_squared_error 0.707022 root_relative_squared_error 0.68462 root_relative_squared_error 0.725127 root_relative_squared_error 0.708967 root_relative_squared_error 0.711236 root_relative_squared_error 0.732453 root_relative_squared_error 0.696119 root_relative_squared_error 0.722255 root_relative_squared_error 0.739179 root_relative_squared_error 0.753164 root_relative_squared_error 0.687884 root_relative_squared_error 0.730453 root_relative_squared_error 0.696535 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 531460 usercpu_time_millis 490600 usercpu_time_millis 477690 usercpu_time_millis 486480 usercpu_time_millis 482470 usercpu_time_millis 483530 usercpu_time_millis 479580 usercpu_time_millis 485720 usercpu_time_millis 482890 usercpu_time_millis 482930 usercpu_time_millis 514760 usercpu_time_millis 492950 usercpu_time_millis 480330 usercpu_time_millis 485960 usercpu_time_millis 487670 usercpu_time_millis 484600 usercpu_time_millis 487660 usercpu_time_millis 485910 usercpu_time_millis 484660 usercpu_time_millis 487810 usercpu_time_millis 518490 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