378666
2
Joaquin Vanschoren
1901
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
21
car
https://www.openml.org/data/download/21/dataset_21_car.arff
-1
1317503
description
https://api.openml.org/data/download/1317503/weka_generated_run934539110169651209.xml
-1
1317506
model_readable
https://api.openml.org/data/download/1317506/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE737296424396859307.model
-1
1317505
model_serialized
https://api.openml.org/data/download/1317505/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE4700813471506843868.model
-1
1317504
predictions
https://api.openml.org/data/download/1317504/weka_generated_predictions5677153804355003086.arff
area_under_roc_curve
0.991993 [0.995607,0.979869,0.988964,0.99955]
average_cost
0
f_measure
0.912547 [0.974344,0.830533,0.422701,0.766667]
kappa
0.816333
kb_relative_information_score
11252.959539
mean_absolute_error
0.099331
mean_prior_absolute_error
0.22898
number_of_instances
17280 [12100,3840,690,650]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.916522 [0.972579,0.779835,0.650602,0.962791]
predictive_accuracy
0.917361
prior_entropy
1.209911
recall
0.917361 [0.976116,0.888281,0.313043,0.636923]
relative_absolute_error
0.4338
root_mean_prior_squared_error
0.338114
root_mean_squared_error
0.201867
root_relative_squared_error
0.597037
scimark_benchmark
926.670404 [538.3458749586215, 977.4055134581852, 478.28140966761225, 901.1481856960322, 1738.1710384960516]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.992659 [0.996821,0.978377,0.993976,1]
area_under_roc_curve
0.993632 [0.997616,0.983161,0.979346,0.998004]
area_under_roc_curve
0.99364 [0.999364,0.976847,0.983649,0.999002]
area_under_roc_curve
0.987365 [0.993961,0.966705,0.980207,0.997006]
area_under_roc_curve
0.991167 [0.997139,0.973402,0.979346,1]
area_under_roc_curve
0.988817 [0.994755,0.971297,0.974182,1]
area_under_roc_curve
0.99661 [0.99555,0.999235,0.997418,1]
area_under_roc_curve
0.997883 [1,0.992155,0.991394,1]
area_under_roc_curve
0.993417 [0.99698,0.981248,0.993976,1]
area_under_roc_curve
0.996481 [0.999364,0.987754,0.992255,1]
area_under_roc_curve
0.993855 [0.995868,0.986797,0.993115,1]
area_under_roc_curve
0.992174 [0.997934,0.974168,0.986231,1]
area_under_roc_curve
0.994878 [0.996662,0.987945,0.998279,1]
area_under_roc_curve
0.988668 [0.993166,0.972637,0.990534,1]
area_under_roc_curve
0.989684 [0.996345,0.967279,0.991394,0.999002]
area_under_roc_curve
0.995142 [0.999523,0.98163,0.990534,1]
area_under_roc_curve
0.990007 [0.990623,0.985075,0.998279,1]
area_under_roc_curve
0.991159 [0.996186,0.974933,0.987091,1]
area_under_roc_curve
0.992481 [0.996186,0.979717,0.994836,0.998004]
area_under_roc_curve
0.993254 [0.995709,0.983544,0.999139,1]
area_under_roc_curve
0.993191 [0.993325,0.990815,0.998279,1]
area_under_roc_curve
0.989559 [0.99555,0.969192,0.990534,1]
area_under_roc_curve
0.985092 [0.989669,0.968236,0.987091,1]
area_under_roc_curve
0.994673 [0.994755,0.993877,0.993115,1]
area_under_roc_curve
0.987725 [0.990782,0.976464,0.987091,1]
area_under_roc_curve
0.99558 [0.99857,0.986223,0.992255,1]
area_under_roc_curve
0.989369 [0.995073,0.97168,0.981928,0.998004]
area_under_roc_curve
0.991038 [0.993484,0.982778,0.987091,1]
area_under_roc_curve
0.994753 [0.998093,0.985266,0.98537,1]
area_under_roc_curve
0.989207 [0.992053,0.980482,0.982788,0.996008]
area_under_roc_curve
0.99502 [0.99857,0.983735,0.992255,1]
area_under_roc_curve
0.989457 [0.988716,0.989476,0.993115,1]
area_under_roc_curve
0.991588 [0.995709,0.977995,0.987026,1]
area_under_roc_curve
0.983345 [0.994755,0.94623,0.97505,1]
area_under_roc_curve
0.997258 [0.999205,0.992155,0.989673,1]
area_under_roc_curve
0.991643 [0.993961,0.981822,0.999002,1]
area_under_roc_curve
0.995804 [0.999046,0.985266,0.994012,1]
area_under_roc_curve
0.98916 [0.993007,0.974659,0.990534,1]
area_under_roc_curve
0.992119 [0.993484,0.986797,0.993014,0.997418]
area_under_roc_curve
0.992864 [0.994596,0.985266,0.999002,1]
area_under_roc_curve
0.997024 [0.99857,0.992593,0.993976,0.997418]
area_under_roc_curve
0.982981 [0.987127,0.965887,0.987091,1]
area_under_roc_curve
0.994091 [0.997616,0.981481,0.995697,1]
area_under_roc_curve
0.993762 [0.998252,0.978752,0.991394,1]
area_under_roc_curve
0.995113 [0.996662,0.988694,0.998279,1]
area_under_roc_curve
0.993602 [0.995073,0.988304,0.991394,0.999139]
area_under_roc_curve
0.986922 [0.991894,0.971345,0.972461,1]
area_under_roc_curve
0.995863 [0.997139,0.991228,0.994836,1]
area_under_roc_curve
0.997704 [0.999523,0.993762,0.986231,0.999139]
area_under_roc_curve
0.995667 [0.999682,0.983821,0.986231,1]
area_under_roc_curve
0.989121 [0.99412,0.971735,0.986231,1]
area_under_roc_curve
0.992014 [0.993166,0.986355,0.994836,1]
area_under_roc_curve
0.991103 [0.993325,0.982651,0.989673,1]
area_under_roc_curve
0.989579 [0.991418,0.982261,0.987091,1]
area_under_roc_curve
0.989578 [0.98808,0.991618,0.993976,1]
area_under_roc_curve
0.99209 [0.992689,0.988694,0.994836,0.997418]
area_under_roc_curve
0.994976 [0.998729,0.983236,0.990534,0.998279]
area_under_roc_curve
0.994749 [0.997616,0.984795,0.993976,1]
area_under_roc_curve
0.992394 [0.993166,0.987135,1,1]
area_under_roc_curve
0.994604 [0.999046,0.981481,0.986231,0.997418]
area_under_roc_curve
0.989432 [0.994437,0.973879,0.978485,0.998279]
area_under_roc_curve
0.996613 [0.999523,0.987524,0.993115,0.999139]
area_under_roc_curve
0.997574 [0.998729,0.993957,0.997418,0.997418]
area_under_roc_curve
0.997218 [0.997457,0.995906,0.997418,1]
area_under_roc_curve
0.990223 [0.995868,0.973879,0.971601,1]
area_under_roc_curve
0.987508 [0.99412,0.962963,0.993976,1]
area_under_roc_curve
0.986283 [0.990623,0.969786,0.987091,1]
area_under_roc_curve
0.991749 [0.99555,0.979142,0.987091,0.999139]
area_under_roc_curve
0.99033 [0.997298,0.968226,0.980207,1]
area_under_roc_curve
0.991907 [0.997616,0.974074,0.981928,1]
area_under_roc_curve
0.994296 [0.996345,0.98694,0.993115,1]
area_under_roc_curve
0.992856 [0.994596,0.986745,0.989673,0.999139]
area_under_roc_curve
0.988472 [0.995073,0.965107,0.989673,1]
area_under_roc_curve
0.994604 [0.996345,0.988499,0.992255,1]
area_under_roc_curve
0.986051 [0.990464,0.968129,0.993976,0.999139]
area_under_roc_curve
0.992414 [0.996503,0.977388,0.995697,1]
area_under_roc_curve
0.993901 [0.999205,0.977778,0.983649,1]
area_under_roc_curve
0.991619 [0.997775,0.97115,0.987952,1]
area_under_roc_curve
0.989146 [0.996821,0.962768,0.989673,0.999139]
area_under_roc_curve
0.991252 [0.995073,0.978558,0.98537,1]
area_under_roc_curve
0.990214 [0.996273,0.969953,0.98494,1]
area_under_roc_curve
0.984999 [0.995139,0.950118,0.983936,1]
area_under_roc_curve
0.991214 [0.994977,0.979576,0.981818,1]
area_under_roc_curve
0.997972 [0.999514,0.993323,0.995671,0.998996]
area_under_roc_curve
0.996081 [0.999838,0.984682,0.987952,1]
area_under_roc_curve
0.991799 [0.994004,0.984682,0.985281,1]
area_under_roc_curve
0.993522 [0.999676,0.975059,0.981818,1]
area_under_roc_curve
0.992298 [0.994814,0.982129,0.997403,1]
area_under_roc_curve
0.984791 [0.989143,0.96956,0.979221,1]
area_under_roc_curve
0.990069 [0.99368,0.978201,0.98355,1]
area_under_roc_curve
0.991401 [0.995301,0.978594,0.986147,1]
area_under_roc_curve
0.997171 [0.999352,0.990377,0.993939,1]
area_under_roc_curve
0.992186 [0.994004,0.984682,0.994805,1]
area_under_roc_curve
0.992316 [0.997083,0.977219,0.985281,1]
area_under_roc_curve
0.994997 [0.99919,0.982325,0.987013,1]
area_under_roc_curve
0.991195 [0.995139,0.977219,0.991342,1]
area_under_roc_curve
0.989794 [0.993194,0.976434,0.994805,1]
area_under_roc_curve
0.991014 [0.996921,0.973009,0.97992,1]
area_under_roc_curve
0.992812 [0.995949,0.982914,0.986147,1]
area_under_roc_curve
0.992744 [0.996921,0.978397,0.992208,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.878439 [0.951613,0.759494,0.25,0.909091]
f_measure
0.907687 [0.97541,0.843373,0.25,0.727273]
f_measure
0.905561 [0.979424,0.819277,0.2,0.8]
f_measure
0.88758 [0.955102,0.779221,0.461538,0.727273]
f_measure
0.920729 [0.975207,0.839506,0.363636,1]
f_measure
0.912577 [0.979253,0.814815,0.307692,0.909091]
f_measure
0.944901 [0.983471,0.902439,0.545455,0.909091]
f_measure
0.95654 [0.995851,0.915663,0.545455,0.909091]
f_measure
0.927956 [0.979253,0.857143,0.545455,0.8]
f_measure
0.915269 [0.987654,0.847059,0.4,0.5]
f_measure
0.921292 [0.97541,0.839506,0.545455,0.8]
f_measure
0.888678 [0.96,0.763158,0.545455,0.666667]
f_measure
0.923988 [0.979424,0.857143,0.444444,0.8]
f_measure
0.904288 [0.966387,0.818182,0.4,0.8]
f_measure
0.911952 [0.955102,0.815789,0.769231,0.833333]
f_measure
0.946211 [0.983607,0.886076,0.666667,0.909091]
f_measure
0.927524 [0.971193,0.853659,0.6,0.909091]
f_measure
0.903622 [0.979592,0.829268,0,0.909091]
f_measure
0.945514 [0.983607,0.888889,0.727273,0.8]
f_measure
0.915984 [0.967213,0.829268,0.727273,0.666667]
f_measure
0.940145 [0.979424,0.878049,0.727273,0.8]
f_measure
0.923241 [0.971429,0.831169,0.615385,0.909091]
f_measure
0.913699 [0.970464,0.847059,0.307692,0.909091]
f_measure
0.934512 [0.991736,0.894118,0.4,0.666667]
f_measure
0.906642 [0.967213,0.829268,0.444444,0.727273]
f_measure
0.892313 [0.97561,0.809524,0.25,0.5]
f_measure
0.911416 [0.966942,0.825,0.5,0.833333]
f_measure
0.886108 [0.971429,0.804878,0,0.727273]
f_measure
0.932985 [0.987552,0.880952,0.222222,1]
f_measure
0.884762 [0.970954,0.795455,0.222222,0.5]
f_measure
0.928027 [0.97541,0.860759,0.5,0.909091]
f_measure
0.920757 [0.966387,0.860465,0.4,1]
f_measure
0.895487 [0.971193,0.809524,0,0.833333]
f_measure
0.884875 [0.966942,0.75,0.166667,0.833333]
f_measure
0.918002 [0.987654,0.860465,0.25,0.666667]
f_measure
0.908644 [0.97561,0.829268,0.285714,0.727273]
f_measure
0.921712 [0.97541,0.839506,0.6,0.727273]
f_measure
0.905078 [0.970954,0.804878,0.615385,0.6]
f_measure
0.915244 [0.967213,0.839506,0.727273,0.6]
f_measure
0.904905 [0.97166,0.814815,0.5,0.6]
f_measure
0.897742 [0.983471,0.827586,0.25,0.444444]
f_measure
0.881132 [0.95,0.771084,0.4,0.769231]
f_measure
0.897584 [0.97166,0.8,0.6,0.444444]
f_measure
0.8679 [0.967742,0.75,0.4,0.25]
f_measure
0.942158 [0.970464,0.880952,0.727273,1]
f_measure
0.901628 [0.970464,0.822222,0.444444,0.6]
f_measure
0.883503 [0.957983,0.776471,0.333333,0.727273]
f_measure
0.936602 [0.983333,0.880952,0.444444,0.923077]
f_measure
0.927531 [0.991667,0.870588,0.222222,0.833333]
f_measure
0.936519 [0.987654,0.875,0.4,0.923077]
f_measure
0.898279 [0.970954,0.795181,0.5,0.6]
f_measure
0.902998 [0.966942,0.804878,0.4,0.833333]
f_measure
0.93145 [0.975,0.878049,0.4,1]
f_measure
0.883291 [0.958678,0.790123,0.2,0.769231]
f_measure
0.927515 [0.979079,0.870588,0.545455,0.727273]
f_measure
0.907831 [0.983333,0.860465,0.222222,0.545455]
f_measure
0.89612 [0.979253,0.827586,0,0.727273]
f_measure
0.958873 [0.987654,0.909091,0.857143,0.833333]
f_measure
0.896593 [0.966102,0.813187,0.444444,0.6]
f_measure
0.890926 [0.983471,0.813953,0,0.6]
f_measure
0.880287 [0.975207,0.795181,0.181818,0.4]
f_measure
0.921375 [0.987552,0.86747,0.222222,0.769231]
f_measure
0.912073 [0.991736,0.860465,0.727273,0]
f_measure
0.948958 [0.995851,0.904762,0.727273,0.6]
f_measure
0.873642 [0.97541,0.756098,0.181818,0.444444]
f_measure
0.894708 [0.971429,0.78481,0.615385,0.444444]
f_measure
0.91045 [0.970464,0.827586,0.4,0.833333]
f_measure
0.917741 [0.975207,0.846154,0.461538,0.769231]
f_measure
0.918121 [0.971193,0.820513,0.615385,0.833333]
f_measure
0.92227 [0.975207,0.839506,0.545455,0.833333]
f_measure
0.913791 [0.975207,0.839506,0.4,0.769231]
f_measure
0.935636 [0.995851,0.880952,0.4,0.727273]
f_measure
0.921428 [0.971429,0.831169,0.545455,0.923077]
f_measure
0.906641 [0.971193,0.819277,0.444444,0.727273]
f_measure
0.890892 [0.959016,0.775,0.4,0.833333]
f_measure
0.927525 [0.979424,0.85,0.545455,0.833333]
f_measure
0.918506 [0.987755,0.835443,0.363636,0.727273]
f_measure
0.897436 [0.97541,0.804878,0.222222,0.727273]
f_measure
0.882285 [0.959677,0.753247,0.4,0.727273]
f_measure
0.911397 [0.975207,0.825,0.461538,0.727273]
f_measure
0.882455 [0.967213,0.780488,0,0.727273]
f_measure
0.872465 [0.95082,0.740741,0.444444,0.6]
f_measure
0.908716 [0.971193,0.810127,0.363636,0.909091]
f_measure
0.918342 [0.983333,0.857143,0.4,0.6]
f_measure
0.911048 [0.987654,0.839506,0.363636,0.444444]
f_measure
0.931809 [0.987654,0.886076,0.222222,0.923077]
f_measure
0.927023 [0.987654,0.846154,0.333333,0.909091]
f_measure
0.909269 [0.970711,0.847059,0.25,0.833333]
f_measure
0.865508 [0.955102,0.75,0,0.8]
f_measure
0.91561 [0.967213,0.820513,0.545455,0.909091]
f_measure
0.89795 [0.953975,0.809524,0.4,0.909091]
f_measure
0.923635 [0.987552,0.857143,0.4,0.666667]
f_measure
0.934479 [0.975207,0.864198,0.727273,0.8]
f_measure
0.88351 [0.963265,0.780488,0.25,0.666667]
f_measure
0.914379 [0.983607,0.839506,0.222222,0.8]
f_measure
0.915113 [0.966387,0.833333,0.4,1]
f_measure
0.914211 [0.970711,0.847059,0.4,0.8]
f_measure
0.882761 [0.95935,0.759494,0.222222,0.8]
f_measure
0.915976 [0.979253,0.843373,0.222222,0.909091]
f_measure
0.929431 [0.979079,0.853659,0.5,0.909091]
kappa
0.746471
kappa
0.817799
kappa
0.80643
kappa
0.754169
kappa
0.834462
kappa
0.81057
kappa
0.885118
kappa
0.911184
kappa
0.847375
kappa
0.831409
kappa
0.831611
kappa
0.757307
kappa
0.844773
kappa
0.799653
kappa
0.806401
kappa
0.883988
kappa
0.845524
kappa
0.816668
kappa
0.883423
kappa
0.818209
kappa
0.871261
kappa
0.8318
kappa
0.815
kappa
0.871423
kappa
0.805253
kappa
0.787567
kappa
0.809443
kappa
0.777382
kappa
0.872832
kappa
0.768854
kappa
0.845317
kappa
0.837992
kappa
0.792985
kappa
0.745925
kappa
0.844015
kappa
0.815016
kappa
0.831611
kappa
0.797572
kappa
0.818672
kappa
0.800569
kappa
0.806416
kappa
0.748492
kappa
0.787925
kappa
0.732571
kappa
0.877026
kappa
0.800605
kappa
0.75149
kappa
0.873962
kappa
0.861044
kappa
0.871928
kappa
0.784432
kappa
0.79587
kappa
0.861981
kappa
0.758149
kappa
0.849663
kappa
0.822746
kappa
0.808048
kappa
0.910962
kappa
0.789402
kappa
0.793986
kappa
0.75704
kappa
0.847834
kappa
0.84549
kappa
0.898325
kappa
0.740474
kappa
0.779055
kappa
0.814311
kappa
0.823005
kappa
0.821518
kappa
0.834523
kappa
0.821794
kappa
0.872906
kappa
0.831825
kappa
0.80656
kappa
0.767508
kappa
0.846313
kappa
0.831042
kappa
0.792379
kappa
0.747755
kappa
0.809499
kappa
0.761755
kappa
0.722751
kappa
0.804634
kappa
0.833035
kappa
0.816799
kappa
0.869776
kappa
0.844073
kappa
0.821325
kappa
0.720995
kappa
0.816505
kappa
0.78352
kappa
0.844543
kappa
0.857283
kappa
0.759683
kappa
0.828383
kappa
0.823227
kappa
0.821299
kappa
0.745819
kappa
0.832006
kappa
0.847889
kb_relative_information_score
114.33731
kb_relative_information_score
115.672405
kb_relative_information_score
113.368521
kb_relative_information_score
112.617796
kb_relative_information_score
109.717324
kb_relative_information_score
108.347311
kb_relative_information_score
116.196299
kb_relative_information_score
117.328582
kb_relative_information_score
113.63105
kb_relative_information_score
116.652174
kb_relative_information_score
117.952024
kb_relative_information_score
115.61792
kb_relative_information_score
118.09618
kb_relative_information_score
106.096565
kb_relative_information_score
110.897828
kb_relative_information_score
115.911625
kb_relative_information_score
113.756021
kb_relative_information_score
106.76607
kb_relative_information_score
113.156793
kb_relative_information_score
115.535186
kb_relative_information_score
113.718582
kb_relative_information_score
112.496943
kb_relative_information_score
107.595441
kb_relative_information_score
117.864001
kb_relative_information_score
112.903239
kb_relative_information_score
114.382152
kb_relative_information_score
107.324512
kb_relative_information_score
110.070354
kb_relative_information_score
114.020002
kb_relative_information_score
105.424466
kb_relative_information_score
114.626957
kb_relative_information_score
109.692498
kb_relative_information_score
110.720083
kb_relative_information_score
106.774526
kb_relative_information_score
116.200579
kb_relative_information_score
112.18902
kb_relative_information_score
118.486811
kb_relative_information_score
116.319897
kb_relative_information_score
115.01097
kb_relative_information_score
117.222878
kb_relative_information_score
110.901412
kb_relative_information_score
105.613682
kb_relative_information_score
115.302692
kb_relative_information_score
114.402634
kb_relative_information_score
115.07457
kb_relative_information_score
104.059836
kb_relative_information_score
108.498627
kb_relative_information_score
115.979413
kb_relative_information_score
117.950638
kb_relative_information_score
112.157791
kb_relative_information_score
111.274078
kb_relative_information_score
116.238562
kb_relative_information_score
111.619441
kb_relative_information_score
110.431497
kb_relative_information_score
112.645286
kb_relative_information_score
114.863938
kb_relative_information_score
116.337442
kb_relative_information_score
118.264113
kb_relative_information_score
107.654583
kb_relative_information_score
112.115676
kb_relative_information_score
114.051138
kb_relative_information_score
113.085662
kb_relative_information_score
116.884857
kb_relative_information_score
118.926029
kb_relative_information_score
115.739619
kb_relative_information_score
109.699631
kb_relative_information_score
111.651431
kb_relative_information_score
114.209458
kb_relative_information_score
110.675538
kb_relative_information_score
108.579218
kb_relative_information_score
118.865548
kb_relative_information_score
115.25027
kb_relative_information_score
107.237672
kb_relative_information_score
113.359844
kb_relative_information_score
108.042184
kb_relative_information_score
114.20109
kb_relative_information_score
113.416841
kb_relative_information_score
108.932939
kb_relative_information_score
112.210091
kb_relative_information_score
115.111062
kb_relative_information_score
104.763285
kb_relative_information_score
105.782853
kb_relative_information_score
112.784164
kb_relative_information_score
111.842065
kb_relative_information_score
110.957724
kb_relative_information_score
116.579603
kb_relative_information_score
108.201467
kb_relative_information_score
110.051743
kb_relative_information_score
109.062733
kb_relative_information_score
114.608198
kb_relative_information_score
106.543278
kb_relative_information_score
113.00388
kb_relative_information_score
114.770022
kb_relative_information_score
111.367328
kb_relative_information_score
113.327648
kb_relative_information_score
112.052608
kb_relative_information_score
114.879038
kb_relative_information_score
109.635605
kb_relative_information_score
110.633517
kb_relative_information_score
105.897851
mean_absolute_error
0.095653
mean_absolute_error
0.092698
mean_absolute_error
0.09673
mean_absolute_error
0.096788
mean_absolute_error
0.101145
mean_absolute_error
0.104177
mean_absolute_error
0.095438
mean_absolute_error
0.092116
mean_absolute_error
0.097401
mean_absolute_error
0.093039
mean_absolute_error
0.091067
mean_absolute_error
0.092869
mean_absolute_error
0.091314
mean_absolute_error
0.109311
mean_absolute_error
0.101535
mean_absolute_error
0.093299
mean_absolute_error
0.0987
mean_absolute_error
0.106226
mean_absolute_error
0.096534
mean_absolute_error
0.09539
mean_absolute_error
0.098842
mean_absolute_error
0.099168
mean_absolute_error
0.106363
mean_absolute_error
0.091973
mean_absolute_error
0.097561
mean_absolute_error
0.095472
mean_absolute_error
0.10525
mean_absolute_error
0.10146
mean_absolute_error
0.096203
mean_absolute_error
0.106843
mean_absolute_error
0.096743
mean_absolute_error
0.102667
mean_absolute_error
0.101378
mean_absolute_error
0.106205
mean_absolute_error
0.092905
mean_absolute_error
0.099965
mean_absolute_error
0.089841
mean_absolute_error
0.096356
mean_absolute_error
0.096434
mean_absolute_error
0.09218
mean_absolute_error
0.103152
mean_absolute_error
0.11183
mean_absolute_error
0.098702
mean_absolute_error
0.097989
mean_absolute_error
0.098994
mean_absolute_error
0.113429
mean_absolute_error
0.106145
mean_absolute_error
0.096424
mean_absolute_error
0.093702
mean_absolute_error
0.103069
mean_absolute_error
0.102505
mean_absolute_error
0.096214
mean_absolute_error
0.10375
mean_absolute_error
0.104744
mean_absolute_error
0.103456
mean_absolute_error
0.098059
mean_absolute_error
0.094879
mean_absolute_error
0.094155
mean_absolute_error
0.108813
mean_absolute_error
0.100433
mean_absolute_error
0.097267
mean_absolute_error
0.101705
mean_absolute_error
0.095665
mean_absolute_error
0.093646
mean_absolute_error
0.095933
mean_absolute_error
0.104195
mean_absolute_error
0.102022
mean_absolute_error
0.099913
mean_absolute_error
0.103484
mean_absolute_error
0.107229
mean_absolute_error
0.093745
mean_absolute_error
0.097844
mean_absolute_error
0.10922
mean_absolute_error
0.099994
mean_absolute_error
0.107728
mean_absolute_error
0.09989
mean_absolute_error
0.10077
mean_absolute_error
0.105276
mean_absolute_error
0.101743
mean_absolute_error
0.097441
mean_absolute_error
0.107196
mean_absolute_error
0.105296
mean_absolute_error
0.094557
mean_absolute_error
0.097299
mean_absolute_error
0.098884
mean_absolute_error
0.090099
mean_absolute_error
0.103523
mean_absolute_error
0.101375
mean_absolute_error
0.09996
mean_absolute_error
0.092878
mean_absolute_error
0.106016
mean_absolute_error
0.096211
mean_absolute_error
0.093307
mean_absolute_error
0.096209
mean_absolute_error
0.095861
mean_absolute_error
0.097035
mean_absolute_error
0.093383
mean_absolute_error
0.097009
mean_absolute_error
0.100081
mean_absolute_error
0.106486
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.227493
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,39,6,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
precision
0.894076 [0.929134,0.75,1,1]
precision
0.924207 [0.96748,0.795455,1,0.8]
precision
0.904591 [0.97541,0.772727,0.333333,1]
precision
0.885889 [0.943548,0.789474,0.5,0.8]
precision
0.919488 [0.975207,0.809524,0.5,1]
precision
0.913061 [0.983333,0.785714,0.333333,1]
precision
0.946868 [0.983471,0.860465,0.75,1]
precision
0.959143 [1,0.863636,0.75,1]
precision
0.933141 [0.983333,0.8,0.75,1]
precision
0.926039 [0.983607,0.782609,0.666667,1]
precision
0.924199 [0.96748,0.809524,0.75,1]
precision
0.892345 [0.930233,0.783784,0.75,1]
precision
0.937714 [0.97541,0.8,1,1]
precision
0.914748 [0.982906,0.734694,0.666667,1]
precision
0.911436 [0.943548,0.837838,0.833333,0.833333]
precision
0.946669 [0.97561,0.875,0.8,1]
precision
0.935127 [0.967213,0.813953,1,1]
precision
0.889792 [0.967742,0.790698,0,1]
precision
0.950736 [0.97561,0.857143,1,1]
precision
0.924384 [0.95935,0.790698,1,1]
precision
0.946103 [0.97541,0.837209,1,1]
precision
0.922715 [0.959677,0.842105,0.666667,1]
precision
0.917988 [0.991379,0.782609,0.333333,1]
precision
0.941526 [0.991736,0.826087,0.666667,1]
precision
0.917448 [0.95935,0.790698,1,0.8]
precision
0.916917 [0.96,0.755556,1,1]
precision
0.910926 [0.966942,0.804878,0.6,0.833333]
precision
0.871972 [0.959677,0.767442,0,0.8]
precision
0.933863 [0.991667,0.822222,0.5,1]
precision
0.897874 [0.975,0.714286,0.5,1]
precision
0.927255 [0.96748,0.85,0.6,1]
precision
0.926592 [0.982906,0.787234,0.666667,1]
precision
0.88728 [0.967213,0.755556,0,1]
precision
0.887495 [0.966942,0.731707,0.166667,1]
precision
0.940569 [0.983607,0.787234,1,1]
precision
0.924839 [0.96,0.790698,1,1]
precision
0.925644 [0.96748,0.809524,0.75,1]
precision
0.914114 [0.975,0.75,0.666667,1]
precision
0.921692 [0.95935,0.809524,0.8,1]
precision
0.918387 [0.952381,0.785714,1,1]
precision
0.930164 [0.983471,0.734694,1,1]
precision
0.886926 [0.957983,0.711111,0.666667,0.833333]
precision
0.914396 [0.952381,0.761905,1,1]
precision
0.885204 [0.944882,0.714286,0.666667,1]
precision
0.950995 [0.991379,0.804348,1,1]
precision
0.930609 [0.991379,0.711538,1,1]
precision
0.89236 [0.974359,0.702128,0.4,1]
precision
0.951147 [0.991597,0.804348,1,1]
precision
0.933034 [1,0.787234,0.5,1]
precision
0.938438 [0.983607,0.833333,0.666667,1]
precision
0.907755 [0.975,0.733333,0.6,1]
precision
0.908478 [0.966942,0.75,0.666667,1]
precision
0.934821 [0.983193,0.818182,0.666667,1]
precision
0.881189 [0.958678,0.744186,0.333333,0.833333]
precision
0.937222 [0.991525,0.787234,0.75,1]
precision
0.913438 [0.991597,0.770833,0.5,0.75]
precision
0.889605 [0.983333,0.734694,0,1]
precision
0.960225 [0.983607,0.897436,0.857143,1]
precision
0.927608 [0.991304,0.698113,1,1]
precision
0.888487 [0.983471,0.729167,0,1]
precision
0.88025 [0.975207,0.733333,0.25,0.666667]
precision
0.923266 [0.991667,0.8,0.5,0.833333]
precision
0.90342 [0.991736,0.770833,1,0]
precision
0.961799 [1,0.826087,1,1]
precision
0.88201 [0.96748,0.704545,0.25,1]
precision
0.904736 [0.959677,0.756098,0.666667,1]
precision
0.922208 [0.991379,0.734694,0.666667,1]
precision
0.917245 [0.975207,0.825,0.5,0.833333]
precision
0.91965 [0.967213,0.8,0.666667,1]
precision
0.926569 [0.975207,0.790698,0.75,1]
precision
0.916454 [0.975207,0.790698,0.666667,0.833333]
precision
0.943537 [1,0.804348,0.666667,1]
precision
0.922257 [0.959677,0.820513,0.75,1]
precision
0.923375 [0.967213,0.755556,1,1]
precision
0.894866 [0.95122,0.738095,0.666667,1]
precision
0.930847 [0.97541,0.809524,0.75,1]
precision
0.919988 [0.975806,0.804878,0.5,1]
precision
0.90211 [0.96748,0.75,0.5,1]
precision
0.886133 [0.937008,0.74359,0.666667,1]
precision
0.915359 [0.975207,0.785714,0.5,1]
precision
0.876265 [0.95935,0.727273,0,1]
precision
0.881543 [0.943089,0.697674,0.666667,1]
precision
0.908089 [0.967213,0.780488,0.5,1]
precision
0.923773 [0.991597,0.782609,0.666667,0.75]
precision
0.921296 [0.983607,0.790698,0.4,1]
precision
0.930804 [0.983607,0.853659,0.5,0.857143]
precision
0.925386 [0.983607,0.825,0.4,1]
precision
0.930555 [0.983051,0.765957,1,0.833333]
precision
0.856466 [0.943548,0.714286,0,1]
precision
0.917042 [0.95935,0.8,0.75,1]
precision
0.904953 [0.966102,0.73913,0.666667,1]
precision
0.932543 [0.991667,0.782609,0.666667,1]
precision
0.941455 [0.975207,0.813953,1,1]
precision
0.905707 [0.951613,0.727273,1,1]
precision
0.916252 [0.97561,0.790698,0.5,1]
precision
0.921578 [0.982906,0.76087,0.666667,1]
precision
0.922804 [0.983051,0.765957,0.666667,1]
precision
0.880663 [0.944,0.75,0.333333,1]
precision
0.918831 [0.983333,0.777778,0.5,1]
precision
0.932569 [0.991525,0.795455,0.6,1]
predictive_accuracy
0.890173
predictive_accuracy
0.919075
predictive_accuracy
0.913295
predictive_accuracy
0.890173
predictive_accuracy
0.924855
predictive_accuracy
0.913295
predictive_accuracy
0.947977
predictive_accuracy
0.959538
predictive_accuracy
0.930636
predictive_accuracy
0.924855
predictive_accuracy
0.924855
predictive_accuracy
0.895954
predictive_accuracy
0.930636
predictive_accuracy
0.907514
predictive_accuracy
0.913295
predictive_accuracy
0.947977
predictive_accuracy
0.930636
predictive_accuracy
0.919075
predictive_accuracy
0.947977
predictive_accuracy
0.919075
predictive_accuracy
0.942197
predictive_accuracy
0.924855
predictive_accuracy
0.913295
predictive_accuracy
0.942197
predictive_accuracy
0.913295
predictive_accuracy
0.907514
predictive_accuracy
0.913295
predictive_accuracy
0.901734
predictive_accuracy
0.942197
predictive_accuracy
0.895954
predictive_accuracy
0.930636
predictive_accuracy
0.924855
predictive_accuracy
0.907514
predictive_accuracy
0.884393
predictive_accuracy
0.930636
predictive_accuracy
0.919075
predictive_accuracy
0.924855
predictive_accuracy
0.907514
predictive_accuracy
0.919075
predictive_accuracy
0.913295
predictive_accuracy
0.913295
predictive_accuracy
0.884393
predictive_accuracy
0.907514
predictive_accuracy
0.884393
predictive_accuracy
0.942197
predictive_accuracy
0.907514
predictive_accuracy
0.884393
predictive_accuracy
0.942197
predictive_accuracy
0.936416
predictive_accuracy
0.942197
predictive_accuracy
0.901734
predictive_accuracy
0.907514
predictive_accuracy
0.936416
predictive_accuracy
0.890173
predictive_accuracy
0.930636
predictive_accuracy
0.919075
predictive_accuracy
0.913295
predictive_accuracy
0.959538
predictive_accuracy
0.901734
predictive_accuracy
0.907514
predictive_accuracy
0.890173
predictive_accuracy
0.930636
predictive_accuracy
0.930636
predictive_accuracy
0.953757
predictive_accuracy
0.884393
predictive_accuracy
0.901734
predictive_accuracy
0.913295
predictive_accuracy
0.919075
predictive_accuracy
0.919075
predictive_accuracy
0.924855
predictive_accuracy
0.919075
predictive_accuracy
0.942197
predictive_accuracy
0.924855
predictive_accuracy
0.913295
predictive_accuracy
0.895954
predictive_accuracy
0.930636
predictive_accuracy
0.924855
predictive_accuracy
0.907514
predictive_accuracy
0.890173
predictive_accuracy
0.913295
predictive_accuracy
0.895349
predictive_accuracy
0.877907
predictive_accuracy
0.912791
predictive_accuracy
0.924419
predictive_accuracy
0.918605
predictive_accuracy
0.94186
predictive_accuracy
0.930233
predictive_accuracy
0.918605
predictive_accuracy
0.877907
predictive_accuracy
0.918605
predictive_accuracy
0.901163
predictive_accuracy
0.930233
predictive_accuracy
0.936047
predictive_accuracy
0.895349
predictive_accuracy
0.924419
predictive_accuracy
0.918605
predictive_accuracy
0.918605
predictive_accuracy
0.889535
predictive_accuracy
0.924419
predictive_accuracy
0.930233
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
recall
0.890173 [0.975207,0.769231,0.142857,0.833333]
recall
0.919075 [0.983471,0.897436,0.142857,0.666667]
recall
0.913295 [0.983471,0.871795,0.142857,0.666667]
recall
0.890173 [0.966942,0.769231,0.428571,0.666667]
recall
0.924855 [0.975207,0.871795,0.285714,1]
recall
0.913295 [0.975207,0.846154,0.285714,0.833333]
recall
0.947977 [0.983471,0.948718,0.428571,0.833333]
recall
0.959538 [0.991736,0.974359,0.428571,0.833333]
recall
0.930636 [0.975207,0.923077,0.428571,0.666667]
recall
0.924855 [0.991736,0.923077,0.285714,0.333333]
recall
0.924855 [0.983471,0.871795,0.428571,0.666667]
recall
0.895954 [0.991736,0.74359,0.428571,0.5]
recall
0.930636 [0.983471,0.923077,0.285714,0.666667]
recall
0.907514 [0.950413,0.923077,0.285714,0.666667]
recall
0.913295 [0.966942,0.794872,0.714286,0.833333]
recall
0.947977 [0.991736,0.897436,0.571429,0.833333]
recall
0.930636 [0.975207,0.897436,0.428571,0.833333]
recall
0.919075 [0.991736,0.871795,0,0.833333]
recall
0.947977 [0.991736,0.923077,0.571429,0.666667]
recall
0.919075 [0.975207,0.871795,0.571429,0.5]
recall
0.942197 [0.983471,0.923077,0.571429,0.666667]
recall
0.924855 [0.983471,0.820513,0.571429,0.833333]
recall
0.913295 [0.950413,0.923077,0.285714,0.833333]
recall
0.942197 [0.991736,0.974359,0.285714,0.5]
recall
0.913295 [0.975207,0.871795,0.285714,0.666667]
recall
0.907514 [0.991736,0.871795,0.142857,0.333333]
recall
0.913295 [0.966942,0.846154,0.428571,0.833333]
recall
0.901734 [0.983471,0.846154,0,0.666667]
recall
0.942197 [0.983471,0.948718,0.142857,1]
recall
0.895954 [0.966942,0.897436,0.142857,0.333333]
recall
0.930636 [0.983471,0.871795,0.428571,0.833333]
recall
0.924855 [0.950413,0.948718,0.285714,1]
recall
0.907514 [0.975207,0.871795,0,0.714286]
recall
0.884393 [0.966942,0.769231,0.166667,0.714286]
recall
0.930636 [0.991736,0.948718,0.142857,0.5]
recall
0.919075 [0.991736,0.871795,0.166667,0.571429]
recall
0.924855 [0.983471,0.871795,0.5,0.571429]
recall
0.907514 [0.966942,0.868421,0.571429,0.428571]
recall
0.919075 [0.975207,0.871795,0.666667,0.428571]
recall
0.913295 [0.991736,0.846154,0.333333,0.428571]
recall
0.913295 [0.983471,0.947368,0.142857,0.285714]
recall
0.884393 [0.942149,0.842105,0.285714,0.714286]
recall
0.907514 [0.991736,0.842105,0.428571,0.285714]
recall
0.884393 [0.991736,0.789474,0.285714,0.142857]
recall
0.942197 [0.950413,0.973684,0.571429,1]
recall
0.907514 [0.950413,0.973684,0.285714,0.428571]
recall
0.884393 [0.942149,0.868421,0.285714,0.571429]
recall
0.942197 [0.975207,0.973684,0.285714,0.857143]
recall
0.936416 [0.983471,0.973684,0.142857,0.714286]
recall
0.942197 [0.991736,0.921053,0.285714,0.857143]
recall
0.901734 [0.966942,0.868421,0.428571,0.428571]
recall
0.907514 [0.966942,0.868421,0.285714,0.714286]
recall
0.936416 [0.966942,0.947368,0.285714,1]
recall
0.890173 [0.958678,0.842105,0.142857,0.714286]
recall
0.930636 [0.966942,0.973684,0.428571,0.571429]
recall
0.919075 [0.975207,0.973684,0.142857,0.428571]
recall
0.913295 [0.975207,0.947368,0,0.571429]
recall
0.959538 [0.991736,0.921053,0.857143,0.714286]
recall
0.901734 [0.942149,0.973684,0.285714,0.428571]
recall
0.907514 [0.983471,0.921053,0,0.428571]
recall
0.890173 [0.975207,0.868421,0.142857,0.285714]
recall
0.930636 [0.983471,0.947368,0.142857,0.714286]
recall
0.930636 [0.991736,0.973684,0.571429,0]
recall
0.953757 [0.991736,1,0.571429,0.428571]
recall
0.884393 [0.983471,0.815789,0.142857,0.285714]
recall
0.901734 [0.983471,0.815789,0.571429,0.285714]
recall
0.913295 [0.950413,0.947368,0.285714,0.714286]
recall
0.919075 [0.975207,0.868421,0.428571,0.714286]
recall
0.919075 [0.975207,0.842105,0.571429,0.714286]
recall
0.924855 [0.975207,0.894737,0.428571,0.714286]
recall
0.919075 [0.975207,0.894737,0.285714,0.714286]
recall
0.942197 [0.991736,0.973684,0.285714,0.571429]
recall
0.924855 [0.983471,0.842105,0.428571,0.857143]
recall
0.913295 [0.975207,0.894737,0.285714,0.571429]
recall
0.895954 [0.966942,0.815789,0.285714,0.714286]
recall
0.930636 [0.983471,0.894737,0.428571,0.714286]
recall
0.924855 [1,0.868421,0.285714,0.571429]
recall
0.907514 [0.983471,0.868421,0.142857,0.571429]
recall
0.890173 [0.983471,0.763158,0.285714,0.571429]
recall
0.913295 [0.975207,0.868421,0.428571,0.571429]
recall
0.895349 [0.975207,0.842105,0,0.571429]
recall
0.877907 [0.958678,0.789474,0.333333,0.428571]
recall
0.912791 [0.975207,0.842105,0.285714,0.833333]
recall
0.924419 [0.975207,0.947368,0.285714,0.5]
recall
0.918605 [0.991736,0.894737,0.333333,0.285714]
recall
0.94186 [0.991736,0.921053,0.142857,1]
recall
0.930233 [0.991736,0.868421,0.285714,0.833333]
recall
0.918605 [0.958678,0.947368,0.142857,0.833333]
recall
0.877907 [0.966942,0.789474,0,0.666667]
recall
0.918605 [0.975207,0.842105,0.428571,0.833333]
recall
0.901163 [0.942149,0.894737,0.285714,0.833333]
recall
0.930233 [0.983471,0.947368,0.285714,0.5]
recall
0.936047 [0.975207,0.921053,0.571429,0.666667]
recall
0.895349 [0.975207,0.842105,0.142857,0.5]
recall
0.924419 [0.991736,0.894737,0.142857,0.666667]
recall
0.918605 [0.950413,0.921053,0.285714,1]
recall
0.918605 [0.958678,0.947368,0.285714,0.666667]
recall
0.889535 [0.975207,0.769231,0.166667,0.666667]
recall
0.924419 [0.975207,0.921053,0.142857,0.833333]
recall
0.930233 [0.966942,0.921053,0.428571,0.833333]
relative_absolute_error
0.41779
relative_absolute_error
0.404883
relative_absolute_error
0.422492
relative_absolute_error
0.422744
relative_absolute_error
0.441775
relative_absolute_error
0.455019
relative_absolute_error
0.416847
relative_absolute_error
0.402337
relative_absolute_error
0.425423
relative_absolute_error
0.406371
relative_absolute_error
0.397755
relative_absolute_error
0.405628
relative_absolute_error
0.398835
relative_absolute_error
0.477445
relative_absolute_error
0.443479
relative_absolute_error
0.407505
relative_absolute_error
0.431096
relative_absolute_error
0.463966
relative_absolute_error
0.421636
relative_absolute_error
0.416641
relative_absolute_error
0.431717
relative_absolute_error
0.433141
relative_absolute_error
0.464566
relative_absolute_error
0.401714
relative_absolute_error
0.426122
relative_absolute_error
0.416997
relative_absolute_error
0.459706
relative_absolute_error
0.443151
relative_absolute_error
0.420189
relative_absolute_error
0.466663
relative_absolute_error
0.422551
relative_absolute_error
0.448423
relative_absolute_error
0.442782
relative_absolute_error
0.463861
relative_absolute_error
0.405786
relative_absolute_error
0.436608
relative_absolute_error
0.392391
relative_absolute_error
0.419881
relative_absolute_error
0.421185
relative_absolute_error
0.402609
relative_absolute_error
0.449495
relative_absolute_error
0.487313
relative_absolute_error
0.430106
relative_absolute_error
0.426997
relative_absolute_error
0.431379
relative_absolute_error
0.494278
relative_absolute_error
0.462537
relative_absolute_error
0.420179
relative_absolute_error
0.408317
relative_absolute_error
0.449134
relative_absolute_error
0.446675
relative_absolute_error
0.419265
relative_absolute_error
0.452102
relative_absolute_error
0.456435
relative_absolute_error
0.450822
relative_absolute_error
0.427304
relative_absolute_error
0.413448
relative_absolute_error
0.410292
relative_absolute_error
0.474163
relative_absolute_error
0.437649
relative_absolute_error
0.42385
relative_absolute_error
0.44319
relative_absolute_error
0.416871
relative_absolute_error
0.408075
relative_absolute_error
0.418039
relative_absolute_error
0.454042
relative_absolute_error
0.444572
relative_absolute_error
0.435383
relative_absolute_error
0.450945
relative_absolute_error
0.467263
relative_absolute_error
0.408507
relative_absolute_error
0.426366
relative_absolute_error
0.47594
relative_absolute_error
0.435736
relative_absolute_error
0.469437
relative_absolute_error
0.435283
relative_absolute_error
0.439116
relative_absolute_error
0.45875
relative_absolute_error
0.443358
relative_absolute_error
0.424612
relative_absolute_error
0.470099
relative_absolute_error
0.461768
relative_absolute_error
0.414683
relative_absolute_error
0.426712
relative_absolute_error
0.43365
relative_absolute_error
0.395132
relative_absolute_error
0.454005
relative_absolute_error
0.444585
relative_absolute_error
0.438382
relative_absolute_error
0.407323
relative_absolute_error
0.464939
relative_absolute_error
0.421939
relative_absolute_error
0.409203
relative_absolute_error
0.421928
relative_absolute_error
0.420404
relative_absolute_error
0.42555
relative_absolute_error
0.409537
relative_absolute_error
0.426426
relative_absolute_error
0.438909
relative_absolute_error
0.467
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338072
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.336704
root_mean_prior_squared_error
0.336704
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336704
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.335908
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_squared_error
0.200373
root_mean_squared_error
0.195609
root_mean_squared_error
0.198696
root_mean_squared_error
0.200754
root_mean_squared_error
0.204576
root_mean_squared_error
0.207715
root_mean_squared_error
0.194506
root_mean_squared_error
0.190785
root_mean_squared_error
0.200035
root_mean_squared_error
0.193811
root_mean_squared_error
0.190583
root_mean_squared_error
0.19831
root_mean_squared_error
0.192529
root_mean_squared_error
0.211829
root_mean_squared_error
0.20421
root_mean_squared_error
0.193727
root_mean_squared_error
0.200183
root_mean_squared_error
0.209644
root_mean_squared_error
0.199451
root_mean_squared_error
0.197793
root_mean_squared_error
0.199361
root_mean_squared_error
0.201369
root_mean_squared_error
0.208544
root_mean_squared_error
0.191209
root_mean_squared_error
0.202895
root_mean_squared_error
0.198307
root_mean_squared_error
0.207897
root_mean_squared_error
0.205916
root_mean_squared_error
0.197474
root_mean_squared_error
0.213473
root_mean_squared_error
0.195266
root_mean_squared_error
0.205287
root_mean_squared_error
0.205062
root_mean_squared_error
0.2122
root_mean_squared_error
0.195438
root_mean_squared_error
0.200937
root_mean_squared_error
0.189814
root_mean_squared_error
0.199362
root_mean_squared_error
0.195224
root_mean_squared_error
0.195771
root_mean_squared_error
0.20741
root_mean_squared_error
0.216811
root_mean_squared_error
0.200916
root_mean_squared_error
0.204249
root_mean_squared_error
0.198052
root_mean_squared_error
0.218094
root_mean_squared_error
0.212067
root_mean_squared_error
0.199453
root_mean_squared_error
0.193868
root_mean_squared_error
0.202812
root_mean_squared_error
0.208
root_mean_squared_error
0.200084
root_mean_squared_error
0.203655
root_mean_squared_error
0.206616
root_mean_squared_error
0.203766
root_mean_squared_error
0.201689
root_mean_squared_error
0.199397
root_mean_squared_error
0.193616
root_mean_squared_error
0.212089
root_mean_squared_error
0.205772
root_mean_squared_error
0.203008
root_mean_squared_error
0.199066
root_mean_squared_error
0.196818
root_mean_squared_error
0.190831
root_mean_squared_error
0.199246
root_mean_squared_error
0.209019
root_mean_squared_error
0.208079
root_mean_squared_error
0.200954
root_mean_squared_error
0.205492
root_mean_squared_error
0.208277
root_mean_squared_error
0.193616
root_mean_squared_error
0.199639
root_mean_squared_error
0.21189
root_mean_squared_error
0.20286
root_mean_squared_error
0.214106
root_mean_squared_error
0.202521
root_mean_squared_error
0.201133
root_mean_squared_error
0.209987
root_mean_squared_error
0.206571
root_mean_squared_error
0.199529
root_mean_squared_error
0.210866
root_mean_squared_error
0.211671
root_mean_squared_error
0.197814
root_mean_squared_error
0.197685
root_mean_squared_error
0.199161
root_mean_squared_error
0.191491
root_mean_squared_error
0.204312
root_mean_squared_error
0.201008
root_mean_squared_error
0.206061
root_mean_squared_error
0.194394
root_mean_squared_error
0.205535
root_mean_squared_error
0.197416
root_mean_squared_error
0.196311
root_mean_squared_error
0.201669
root_mean_squared_error
0.197348
root_mean_squared_error
0.199832
root_mean_squared_error
0.193259
root_mean_squared_error
0.201546
root_mean_squared_error
0.203149
root_mean_squared_error
0.209215
root_relative_squared_error
0.592695
root_relative_squared_error
0.578603
root_relative_squared_error
0.587734
root_relative_squared_error
0.593822
root_relative_squared_error
0.605126
root_relative_squared_error
0.614412
root_relative_squared_error
0.57534
root_relative_squared_error
0.564331
root_relative_squared_error
0.591693
root_relative_squared_error
0.573282
root_relative_squared_error
0.563734
root_relative_squared_error
0.586591
root_relative_squared_error
0.569491
root_relative_squared_error
0.626581
root_relative_squared_error
0.604043
root_relative_squared_error
0.573034
root_relative_squared_error
0.592132
root_relative_squared_error
0.620117
root_relative_squared_error
0.589967
root_relative_squared_error
0.585061
root_relative_squared_error
0.589701
root_relative_squared_error
0.595639
root_relative_squared_error
0.616863
root_relative_squared_error
0.565587
root_relative_squared_error
0.600153
root_relative_squared_error
0.586583
root_relative_squared_error
0.61495
root_relative_squared_error
0.609091
root_relative_squared_error
0.584117
root_relative_squared_error
0.631443
root_relative_squared_error
0.577588
root_relative_squared_error
0.607229
root_relative_squared_error
0.606546
root_relative_squared_error
0.627658
root_relative_squared_error
0.578097
root_relative_squared_error
0.594345
root_relative_squared_error
0.561444
root_relative_squared_error
0.588335
root_relative_squared_error
0.577446
root_relative_squared_error
0.579066
root_relative_squared_error
0.612086
root_relative_squared_error
0.639827
root_relative_squared_error
0.592922
root_relative_squared_error
0.602757
root_relative_squared_error
0.584469
root_relative_squared_error
0.643613
root_relative_squared_error
0.625827
root_relative_squared_error
0.588602
root_relative_squared_error
0.572122
root_relative_squared_error
0.598517
root_relative_squared_error
0.613827
root_relative_squared_error
0.590465
root_relative_squared_error
0.601002
root_relative_squared_error
0.609742
root_relative_squared_error
0.601333
root_relative_squared_error
0.595202
root_relative_squared_error
0.588439
root_relative_squared_error
0.571378
root_relative_squared_error
0.625892
root_relative_squared_error
0.60725
root_relative_squared_error
0.599093
root_relative_squared_error
0.587462
root_relative_squared_error
0.580828
root_relative_squared_error
0.563158
root_relative_squared_error
0.587993
root_relative_squared_error
0.616832
root_relative_squared_error
0.614058
root_relative_squared_error
0.593034
root_relative_squared_error
0.606425
root_relative_squared_error
0.614645
root_relative_squared_error
0.571379
root_relative_squared_error
0.589153
root_relative_squared_error
0.625305
root_relative_squared_error
0.598657
root_relative_squared_error
0.631845
root_relative_squared_error
0.597658
root_relative_squared_error
0.59356
root_relative_squared_error
0.61969
root_relative_squared_error
0.609608
root_relative_squared_error
0.588827
root_relative_squared_error
0.626265
root_relative_squared_error
0.628655
root_relative_squared_error
0.58752
root_relative_squared_error
0.587134
root_relative_squared_error
0.591501
root_relative_squared_error
0.56874
root_relative_squared_error
0.606818
root_relative_squared_error
0.597005
root_relative_squared_error
0.612011
root_relative_squared_error
0.577362
root_relative_squared_error
0.610452
root_relative_squared_error
0.586338
root_relative_squared_error
0.583055
root_relative_squared_error
0.598968
root_relative_squared_error
0.586136
root_relative_squared_error
0.593513
root_relative_squared_error
0.573989
root_relative_squared_error
0.600003
root_relative_squared_error
0.603364
root_relative_squared_error
0.621379
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
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10
usercpu_time_millis_training
0
usercpu_time_millis_training
10