284048
2
Joaquin Vanschoren
4291
Supervised Classification
predictive_accuracy
1194
weka.RandomSubSpace_REPTree(4)
2056
weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 160 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
0.5
1194
S
1
1194
num-slots
1
1194
I
160
1194
W
weka.classifiers.trees.REPTree
1194
weka
weka_3.7.12
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
955532
description
https://api.openml.org/data/download/955532/weka_generated_run8820364441267755159.xml
-1
955535
model_readable
https://api.openml.org/data/download/955535/WekaModel_weka.classifiers.meta.RandomSubSpace903628458228951654.model
-1
955534
model_serialized
https://api.openml.org/data/download/955534/WekaSerialized_weka.classifiers.meta.RandomSubSpace2066043791159316248.model
-1
955533
predictions
https://api.openml.org/data/download/955533/weka_generated_predictions2777675146604517150.arff
area_under_roc_curve
0.871855 [0.871855,0.871855]
average_cost
0
f_measure
0.793953 [0.789072,0.798868]
kappa
0.588249
kb_relative_information_score
17255.415414
mean_absolute_error
0.311288
mean_prior_absolute_error
0.499994
number_of_instances
41770 [20960,20810]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.79501 [0.811828,0.778071]
predictive_accuracy
0.794087
prior_entropy
0.999991
recall
0.794087 [0.767557,0.820807]
relative_absolute_error
0.622584
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.381627
root_relative_squared_error
0.763259
scimark_benchmark
1351.652619 [809.7681543529553, 945.5127119766177, 533.4037843495669, 1115.9812794988438, 3353.59716593505]
total_cost
0
usercpu_time_millis
3070
usercpu_time_millis_testing
490
usercpu_time_millis_training
2580
area_under_roc_curve
0.888945 [0.888945,0.888945]
area_under_roc_curve
0.879853 [0.879853,0.879853]
area_under_roc_curve
0.863785 [0.863785,0.863785]
area_under_roc_curve
0.863507 [0.863507,0.863507]
area_under_roc_curve
0.877979 [0.877979,0.877979]
area_under_roc_curve
0.867963 [0.867963,0.867963]
area_under_roc_curve
0.871752 [0.871752,0.871752]
area_under_roc_curve
0.875893 [0.875893,0.875893]
area_under_roc_curve
0.875003 [0.875003,0.875003]
area_under_roc_curve
0.894325 [0.894325,0.894325]
area_under_roc_curve
0.856571 [0.856571,0.856571]
area_under_roc_curve
0.880449 [0.880449,0.880449]
area_under_roc_curve
0.844288 [0.844288,0.844288]
area_under_roc_curve
0.910691 [0.910691,0.910691]
area_under_roc_curve
0.853594 [0.853594,0.853594]
area_under_roc_curve
0.871818 [0.871818,0.871818]
area_under_roc_curve
0.876042 [0.876042,0.876042]
area_under_roc_curve
0.855815 [0.855815,0.855815]
area_under_roc_curve
0.872459 [0.872459,0.872459]
area_under_roc_curve
0.851431 [0.851431,0.851431]
area_under_roc_curve
0.912225 [0.912225,0.912225]
area_under_roc_curve
0.891506 [0.891506,0.891506]
area_under_roc_curve
0.894025 [0.894025,0.894025]
area_under_roc_curve
0.875881 [0.875881,0.875881]
area_under_roc_curve
0.873649 [0.873649,0.873649]
area_under_roc_curve
0.823397 [0.823397,0.823397]
area_under_roc_curve
0.904235 [0.904235,0.904235]
area_under_roc_curve
0.861641 [0.861641,0.861641]
area_under_roc_curve
0.877129 [0.877129,0.877129]
area_under_roc_curve
0.869849 [0.869849,0.869849]
area_under_roc_curve
0.841289 [0.841289,0.841289]
area_under_roc_curve
0.848695 [0.848695,0.848695]
area_under_roc_curve
0.906342 [0.906342,0.906342]
area_under_roc_curve
0.840659 [0.840659,0.840659]
area_under_roc_curve
0.88631 [0.88631,0.88631]
area_under_roc_curve
0.876625 [0.876625,0.876625]
area_under_roc_curve
0.823203 [0.823203,0.823203]
area_under_roc_curve
0.865717 [0.865717,0.865717]
area_under_roc_curve
0.859009 [0.859009,0.859009]
area_under_roc_curve
0.885062 [0.885062,0.885062]
area_under_roc_curve
0.834707 [0.834707,0.834707]
area_under_roc_curve
0.86424 [0.86424,0.86424]
area_under_roc_curve
0.879716 [0.879716,0.879716]
area_under_roc_curve
0.8606 [0.8606,0.8606]
area_under_roc_curve
0.858036 [0.858036,0.858036]
area_under_roc_curve
0.862363 [0.862363,0.862363]
area_under_roc_curve
0.889011 [0.889011,0.889011]
area_under_roc_curve
0.885005 [0.885005,0.885005]
area_under_roc_curve
0.884421 [0.884421,0.884421]
area_under_roc_curve
0.898466 [0.898466,0.898466]
area_under_roc_curve
0.872459 [0.872459,0.872459]
area_under_roc_curve
0.873168 [0.873168,0.873168]
area_under_roc_curve
0.861859 [0.861859,0.861859]
area_under_roc_curve
0.877358 [0.877358,0.877358]
area_under_roc_curve
0.878136 [0.878136,0.878136]
area_under_roc_curve
0.891152 [0.891152,0.891152]
area_under_roc_curve
0.860646 [0.860646,0.860646]
area_under_roc_curve
0.883253 [0.883253,0.883253]
area_under_roc_curve
0.850939 [0.850939,0.850939]
area_under_roc_curve
0.870009 [0.870009,0.870009]
area_under_roc_curve
0.874267 [0.874267,0.874267]
area_under_roc_curve
0.86699 [0.86699,0.86699]
area_under_roc_curve
0.887248 [0.887248,0.887248]
area_under_roc_curve
0.869737 [0.869737,0.869737]
area_under_roc_curve
0.896314 [0.896314,0.896314]
area_under_roc_curve
0.897264 [0.897264,0.897264]
area_under_roc_curve
0.87033 [0.87033,0.87033]
area_under_roc_curve
0.86746 [0.86746,0.86746]
area_under_roc_curve
0.870788 [0.870788,0.870788]
area_under_roc_curve
0.85918 [0.85918,0.85918]
area_under_roc_curve
0.886053 [0.886053,0.886053]
area_under_roc_curve
0.861911 [0.861911,0.861911]
area_under_roc_curve
0.888296 [0.888296,0.888296]
area_under_roc_curve
0.870974 [0.870974,0.870974]
area_under_roc_curve
0.88036 [0.88036,0.88036]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.877323 [0.877323,0.877323]
area_under_roc_curve
0.888848 [0.888848,0.888848]
area_under_roc_curve
0.890665 [0.890665,0.890665]
area_under_roc_curve
0.886134 [0.886134,0.886134]
area_under_roc_curve
0.903731 [0.903731,0.903731]
area_under_roc_curve
0.893794 [0.893794,0.893794]
area_under_roc_curve
0.865339 [0.865339,0.865339]
area_under_roc_curve
0.865902 [0.865902,0.865902]
area_under_roc_curve
0.852491 [0.852491,0.852491]
area_under_roc_curve
0.874333 [0.874333,0.874333]
area_under_roc_curve
0.858921 [0.858921,0.858921]
area_under_roc_curve
0.840771 [0.840771,0.840771]
area_under_roc_curve
0.881027 [0.881027,0.881027]
area_under_roc_curve
0.842151 [0.842151,0.842151]
area_under_roc_curve
0.857897 [0.857897,0.857897]
area_under_roc_curve
0.865523 [0.865523,0.865523]
area_under_roc_curve
0.852595 [0.852595,0.852595]
area_under_roc_curve
0.881832 [0.881832,0.881832]
area_under_roc_curve
0.883592 [0.883592,0.883592]
area_under_roc_curve
0.895438 [0.895438,0.895438]
area_under_roc_curve
0.882223 [0.882223,0.882223]
area_under_roc_curve
0.891332 [0.891332,0.891332]
area_under_roc_curve
0.877967 [0.877967,0.877967]
area_under_roc_curve
0.866316 [0.866316,0.866316]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.796136 [0.785894,0.806378]
f_measure
0.800981 [0.79198,0.810069]
f_measure
0.781936 [0.773067,0.790805]
f_measure
0.782118 [0.776413,0.787879]
f_measure
0.808257 [0.8,0.816514]
f_measure
0.810952 [0.807786,0.814118]
f_measure
0.796454 [0.790123,0.802784]
f_measure
0.820242 [0.812968,0.827586]
f_measure
0.779899 [0.778846,0.780952]
f_measure
0.815128 [0.804071,0.826185]
f_measure
0.779904 [0.779904,0.779904]
f_measure
0.805937 [0.799007,0.812933]
f_measure
0.758103 [0.750617,0.765661]
f_measure
0.822958 [0.822115,0.82381]
f_measure
0.784659 [0.787736,0.781553]
f_measure
0.782298 [0.782816,0.781775]
f_measure
0.789445 [0.78744,0.791469]
f_measure
0.772306 [0.763092,0.781609]
f_measure
0.795736 [0.782609,0.808989]
f_measure
0.767811 [0.762836,0.772834]
f_measure
0.842033 [0.839024,0.84507]
f_measure
0.81085 [0.805897,0.815851]
f_measure
0.796647 [0.796163,0.797136]
f_measure
0.791696 [0.786241,0.797203]
f_measure
0.815075 [0.804071,0.826185]
f_measure
0.760656 [0.756098,0.765258]
f_measure
0.82526 [0.821516,0.82904]
f_measure
0.796484 [0.791155,0.801865]
f_measure
0.796484 [0.791155,0.801865]
f_measure
0.777467 [0.774818,0.780142]
f_measure
0.774179 [0.760204,0.788288]
f_measure
0.765486 [0.762136,0.768868]
f_measure
0.834383 [0.825316,0.843537]
f_measure
0.758103 [0.750617,0.765661]
f_measure
0.786907 [0.781327,0.792541]
f_measure
0.791824 [0.789346,0.794326]
f_measure
0.7488 [0.748201,0.749403]
f_measure
0.758175 [0.751843,0.764569]
f_measure
0.779541 [0.771144,0.788018]
f_measure
0.818099 [0.814634,0.821596]
f_measure
0.770324 [0.772512,0.768116]
f_measure
0.767811 [0.773893,0.761671]
f_measure
0.811002 [0.810552,0.811456]
f_measure
0.796577 [0.793187,0.8]
f_measure
0.786961 [0.782396,0.791569]
f_measure
0.789329 [0.784314,0.794393]
f_measure
0.822796 [0.817734,0.827907]
f_measure
0.815639 [0.810811,0.820513]
f_measure
0.810729 [0.80397,0.817552]
f_measure
0.810898 [0.806846,0.814988]
f_measure
0.772306 [0.763092,0.781609]
f_measure
0.794202 [0.791262,0.79717]
f_measure
0.793919 [0.78607,0.801843]
f_measure
0.803639 [0.79803,0.809302]
f_measure
0.779116 [0.766497,0.791855]
f_measure
0.808217 [0.8,0.816514]
f_measure
0.777493 [0.775904,0.779097]
f_measure
0.80611 [0.801956,0.810304]
f_measure
0.779753 [0.77451,0.785047]
f_measure
0.805777 [0.796992,0.814645]
f_measure
0.782278 [0.780723,0.783848]
f_measure
0.77745 [0.773723,0.781176]
f_measure
0.832536 [0.832536,0.832536]
f_measure
0.796389 [0.789082,0.803695]
f_measure
0.806217 [0.807601,0.804819]
f_measure
0.815774 [0.814458,0.817102]
f_measure
0.781453 [0.768448,0.794582]
f_measure
0.799025 [0.797101,0.800948]
f_measure
0.796535 [0.792176,0.800937]
f_measure
0.784689 [0.784689,0.784689]
f_measure
0.810506 [0.807786,0.813239]
f_measure
0.787599 [0.770833,0.804444]
f_measure
0.79614 [0.794189,0.7981]
f_measure
0.788677 [0.781095,0.796296]
f_measure
0.791235 [0.786241,0.796253]
f_measure
0.80027 [0.788804,0.811791]
f_measure
0.791317 [0.788321,0.794326]
f_measure
0.81254 [0.80402,0.821101]
f_measure
0.80812 [0.805825,0.810427]
f_measure
0.78176 [0.783848,0.779661]
f_measure
0.827332 [0.828571,0.826087]
f_measure
0.815271 [0.811736,0.818824]
f_measure
0.779305 [0.77561,0.783019]
f_measure
0.781749 [0.779661,0.783848]
f_measure
0.781579 [0.775309,0.787879]
f_measure
0.774409 [0.768473,0.780374]
f_measure
0.776709 [0.769231,0.784223]
f_measure
0.757785 [0.756627,0.75895]
f_measure
0.793729 [0.791262,0.796209]
f_measure
0.755058 [0.746269,0.763889]
f_measure
0.79104 [0.783042,0.799076]
f_measure
0.788966 [0.788462,0.789474]
f_measure
0.783598 [0.772727,0.794521]
f_measure
0.812754 [0.806931,0.818605]
f_measure
0.803294 [0.8,0.806604]
f_measure
0.817651 [0.813725,0.821596]
f_measure
0.810381 [0.804938,0.815851]
f_measure
0.810538 [0.812352,0.808717]
f_measure
0.805733 [0.803874,0.807601]
f_measure
0.798283 [0.791045,0.805556]
kappa
0.593301
kappa
0.603053
kappa
0.564593
kappa
0.564713
kappa
0.617225
kappa
0.62201
kappa
0.593301
kappa
0.641296
kappa
0.559809
kappa
0.631579
kappa
0.559819
kappa
0.612582
kappa
0.516901
kappa
0.645957
kappa
0.569329
kappa
0.564593
kappa
0.578996
kappa
0.545642
kappa
0.593562
kappa
0.535991
kappa
0.684276
kappa
0.622113
kappa
0.59332
kappa
0.583846
kappa
0.631798
kappa
0.52163
kappa
0.650798
kappa
0.593413
kappa
0.593413
kappa
0.555085
kappa
0.550517
kappa
0.531176
kappa
0.670038
kappa
0.516901
kappa
0.57428
kappa
0.583789
kappa
0.497631
kappa
0.516879
kappa
0.55998
kappa
0.636439
kappa
0.540638
kappa
0.535779
kappa
0.622027
kappa
0.593376
kappa
0.57426
kappa
0.579053
kappa
0.646038
kappa
0.63168
kappa
0.622148
kappa
0.622096
kappa
0.545642
kappa
0.588583
kappa
0.588677
kappa
0.607772
kappa
0.56006
kappa
0.617391
kappa
0.555065
kappa
0.612529
kappa
0.559919
kappa
0.612618
kappa
0.564633
kappa
0.555024
kappa
0.665079
kappa
0.593301
kappa
0.612422
kappa
0.631613
kappa
0.564852
kappa
0.598086
kappa
0.593395
kappa
0.569388
kappa
0.621131
kappa
0.5781
kappa
0.592347
kappa
0.578013
kappa
0.582784
kappa
0.602031
kappa
0.582765
kappa
0.625983
kappa
0.616331
kappa
0.563532
kappa
0.654666
kappa
0.630732
kappa
0.558791
kappa
0.563572
kappa
0.563612
kappa
0.54922
kappa
0.554031
kappa
0.515601
kappa
0.587556
kappa
0.510879
kappa
0.582813
kappa
0.577945
kappa
0.568452
kappa
0.625957
kappa
0.606749
kappa
0.635531
kappa
0.621158
kappa
0.621088
kappa
0.611531
kappa
0.597194
kb_relative_information_score
178.487045
kb_relative_information_score
176.398074
kb_relative_information_score
166.596513
kb_relative_information_score
168.403009
kb_relative_information_score
175.468897
kb_relative_information_score
172.301053
kb_relative_information_score
172.585716
kb_relative_information_score
178.973333
kb_relative_information_score
171.340418
kb_relative_information_score
182.45849
kb_relative_information_score
164.539608
kb_relative_information_score
181.899547
kb_relative_information_score
157.183201
kb_relative_information_score
191.791297
kb_relative_information_score
162.149639
kb_relative_information_score
169.411356
kb_relative_information_score
173.481576
kb_relative_information_score
161.458375
kb_relative_information_score
175.081573
kb_relative_information_score
162.636519
kb_relative_information_score
192.956762
kb_relative_information_score
180.633841
kb_relative_information_score
178.247528
kb_relative_information_score
176.379859
kb_relative_information_score
170.862303
kb_relative_information_score
147.934886
kb_relative_information_score
193.979193
kb_relative_information_score
161.50977
kb_relative_information_score
177.449779
kb_relative_information_score
170.982165
kb_relative_information_score
156.681782
kb_relative_information_score
162.607597
kb_relative_information_score
185.53117
kb_relative_information_score
156.418111
kb_relative_information_score
179.271273
kb_relative_information_score
175.295974
kb_relative_information_score
150.804023
kb_relative_information_score
167.405344
kb_relative_information_score
167.655656
kb_relative_information_score
179.482358
kb_relative_information_score
155.418984
kb_relative_information_score
166.06061
kb_relative_information_score
181.874762
kb_relative_information_score
164.795463
kb_relative_information_score
169.92546
kb_relative_information_score
166.508108
kb_relative_information_score
183.817976
kb_relative_information_score
173.320658
kb_relative_information_score
179.888987
kb_relative_information_score
184.580461
kb_relative_information_score
169.291394
kb_relative_information_score
171.709205
kb_relative_information_score
168.877973
kb_relative_information_score
179.925844
kb_relative_information_score
175.735223
kb_relative_information_score
182.540314
kb_relative_information_score
167.118737
kb_relative_information_score
175.047735
kb_relative_information_score
162.04354
kb_relative_information_score
166.515981
kb_relative_information_score
171.06137
kb_relative_information_score
168.354239
kb_relative_information_score
183.08276
kb_relative_information_score
172.314544
kb_relative_information_score
186.726381
kb_relative_information_score
186.417394
kb_relative_information_score
166.454252
kb_relative_information_score
174.094018
kb_relative_information_score
171.430518
kb_relative_information_score
165.52543
kb_relative_information_score
180.552098
kb_relative_information_score
165.841231
kb_relative_information_score
175.396403
kb_relative_information_score
166.892802
kb_relative_information_score
170.522168
kb_relative_information_score
170.721779
kb_relative_information_score
169.594631
kb_relative_information_score
183.765636
kb_relative_information_score
180.482058
kb_relative_information_score
178.393512
kb_relative_information_score
187.632862
kb_relative_information_score
186.984503
kb_relative_information_score
165.127398
kb_relative_information_score
166.956235
kb_relative_information_score
161.995624
kb_relative_information_score
173.132758
kb_relative_information_score
163.204933
kb_relative_information_score
157.568156
kb_relative_information_score
173.19089
kb_relative_information_score
159.955591
kb_relative_information_score
165.979584
kb_relative_information_score
171.073119
kb_relative_information_score
164.655982
kb_relative_information_score
175.169587
kb_relative_information_score
178.578494
kb_relative_information_score
188.982785
kb_relative_information_score
175.165561
kb_relative_information_score
181.912337
kb_relative_information_score
178.018279
kb_relative_information_score
172.775485
mean_absolute_error
0.304079
mean_absolute_error
0.306928
mean_absolute_error
0.318236
mean_absolute_error
0.315566
mean_absolute_error
0.30934
mean_absolute_error
0.312508
mean_absolute_error
0.310852
mean_absolute_error
0.305141
mean_absolute_error
0.311885
mean_absolute_error
0.301091
mean_absolute_error
0.319894
mean_absolute_error
0.300458
mean_absolute_error
0.327607
mean_absolute_error
0.291434
mean_absolute_error
0.323038
mean_absolute_error
0.314605
mean_absolute_error
0.310346
mean_absolute_error
0.323824
mean_absolute_error
0.30923
mean_absolute_error
0.321648
mean_absolute_error
0.290402
mean_absolute_error
0.30336
mean_absolute_error
0.305641
mean_absolute_error
0.305648
mean_absolute_error
0.314197
mean_absolute_error
0.338552
mean_absolute_error
0.287795
mean_absolute_error
0.324851
mean_absolute_error
0.304865
mean_absolute_error
0.312298
mean_absolute_error
0.328853
mean_absolute_error
0.322342
mean_absolute_error
0.297716
mean_absolute_error
0.328035
mean_absolute_error
0.302919
mean_absolute_error
0.308682
mean_absolute_error
0.334216
mean_absolute_error
0.315323
mean_absolute_error
0.317303
mean_absolute_error
0.304641
mean_absolute_error
0.330717
mean_absolute_error
0.317342
mean_absolute_error
0.300839
mean_absolute_error
0.320699
mean_absolute_error
0.31408
mean_absolute_error
0.317824
mean_absolute_error
0.299689
mean_absolute_error
0.312271
mean_absolute_error
0.304634
mean_absolute_error
0.298171
mean_absolute_error
0.314044
mean_absolute_error
0.313126
mean_absolute_error
0.315407
mean_absolute_error
0.302441
mean_absolute_error
0.306512
mean_absolute_error
0.300872
mean_absolute_error
0.316802
mean_absolute_error
0.308563
mean_absolute_error
0.323012
mean_absolute_error
0.319738
mean_absolute_error
0.312679
mean_absolute_error
0.315657
mean_absolute_error
0.300858
mean_absolute_error
0.311933
mean_absolute_error
0.29613
mean_absolute_error
0.296562
mean_absolute_error
0.318329
mean_absolute_error
0.30965
mean_absolute_error
0.312985
mean_absolute_error
0.318672
mean_absolute_error
0.301598
mean_absolute_error
0.319108
mean_absolute_error
0.308769
mean_absolute_error
0.317406
mean_absolute_error
0.313251
mean_absolute_error
0.313894
mean_absolute_error
0.31411
mean_absolute_error
0.299157
mean_absolute_error
0.30227
mean_absolute_error
0.303894
mean_absolute_error
0.295404
mean_absolute_error
0.294897
mean_absolute_error
0.31868
mean_absolute_error
0.317816
mean_absolute_error
0.322238
mean_absolute_error
0.309462
mean_absolute_error
0.321707
mean_absolute_error
0.325795
mean_absolute_error
0.310348
mean_absolute_error
0.323378
mean_absolute_error
0.319055
mean_absolute_error
0.311523
mean_absolute_error
0.319093
mean_absolute_error
0.308698
mean_absolute_error
0.3047
mean_absolute_error
0.292057
mean_absolute_error
0.308442
mean_absolute_error
0.300884
mean_absolute_error
0.305062
mean_absolute_error
0.310473
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
precision
0.799676 [0.829787,0.769565]
precision
0.804603 [0.835979,0.772926]
precision
0.784177 [0.807292,0.761062]
precision
0.783457 [0.80203,0.764706]
precision
0.810919 [0.837696,0.784141]
precision
0.811354 [0.821782,0.800926]
precision
0.797803 [0.816327,0.779279]
precision
0.823322 [0.853403,0.792952]
precision
0.77993 [0.782609,0.777251]
precision
0.820373 [0.858696,0.782051]
precision
0.77994 [0.783654,0.77619]
precision
0.808334 [0.834197,0.782222]
precision
0.759793 [0.779487,0.73991]
precision
0.823101 [0.830097,0.816038]
precision
0.784774 [0.780374,0.789216]
precision
0.782308 [0.784689,0.779904]
precision
0.789741 [0.79902,0.780374]
precision
0.775098 [0.801047,0.748899]
precision
0.802604 [0.845304,0.759494]
precision
0.768745 [0.78392,0.753425]
precision
0.842926 [0.86,0.825688]
precision
0.812268 [0.832487,0.791855]
precision
0.796726 [0.801932,0.791469]
precision
0.793061 [0.812183,0.773756]
precision
0.821258 [0.863388,0.778723]
precision
0.761419 [0.775,0.747706]
precision
0.826306 [0.844221,0.808219]
precision
0.797863 [0.817259,0.778281]
precision
0.797863 [0.817259,0.778281]
precision
0.777859 [0.788177,0.767442]
precision
0.780288 [0.818681,0.741525]
precision
0.765983 [0.777228,0.75463]
precision
0.83988 [0.881081,0.798283]
precision
0.759793 [0.779487,0.73991]
precision
0.788259 [0.807107,0.769231]
precision
0.792227 [0.802956,0.781395]
precision
0.748872 [0.753623,0.744076]
precision
0.759448 [0.77665,0.742081]
precision
0.782086 [0.807292,0.756637]
precision
0.818953 [0.835,0.802752]
precision
0.770349 [0.768868,0.771845]
precision
0.768393 [0.757991,0.778894]
precision
0.811082 [0.816425,0.805687]
precision
0.797244 [0.810945,0.78341]
precision
0.787932 [0.80402,0.771689]
precision
0.790489 [0.808081,0.772727]
precision
0.824478 [0.846939,0.801802]
precision
0.81707 [0.837563,0.79638]
precision
0.813149 [0.839378,0.786667]
precision
0.811916 [0.829146,0.794521]
precision
0.775098 [0.801047,0.748899]
precision
0.794728 [0.806931,0.782407]
precision
0.796541 [0.822917,0.769912]
precision
0.805259 [0.826531,0.783784]
precision
0.784432 [0.820652,0.747863]
precision
0.81155 [0.842105,0.780702]
precision
0.777696 [0.785366,0.769953]
precision
0.807119 [0.824121,0.789954]
precision
0.78089 [0.79798,0.763636]
precision
0.809434 [0.84127,0.777293]
precision
0.782483 [0.790244,0.774648]
precision
0.777824 [0.787129,0.768519]
precision
0.832574 [0.836538,0.828571]
precision
0.798187 [0.819588,0.776786]
precision
0.806223 [0.805687,0.806763]
precision
0.815991 [0.82439,0.807512]
precision
0.787219 [0.825137,0.748936]
precision
0.799153 [0.804878,0.793427]
precision
0.797526 [0.81407,0.780822]
precision
0.784725 [0.788462,0.780952]
precision
0.810917 [0.821782,0.8]
precision
0.796941 [0.845714,0.747934]
precision
0.796345 [0.803922,0.788732]
precision
0.790719 [0.813472,0.767857]
precision
0.792206 [0.808081,0.776256]
precision
0.805405 [0.842391,0.76824]
precision
0.791712 [0.80198,0.781395]
precision
0.815898 [0.846561,0.785088]
precision
0.808422 [0.817734,0.799065]
precision
0.781825 [0.778302,0.785366]
precision
0.827364 [0.824645,0.830097]
precision
0.815955 [0.83,0.801843]
precision
0.779809 [0.791045,0.768519]
precision
0.781949 [0.789216,0.774648]
precision
0.782907 [0.80102,0.764706]
precision
0.775524 [0.791878,0.759091]
precision
0.778458 [0.798969,0.757848]
precision
0.757856 [0.762136,0.753555]
precision
0.794023 [0.802956,0.785047]
precision
0.756953 [0.777202,0.736607]
precision
0.793357 [0.817708,0.768889]
precision
0.789 [0.792271,0.785714]
precision
0.787426 [0.818182,0.756522]
precision
0.814397 [0.835897,0.792793]
precision
0.803823 [0.81592,0.791667]
precision
0.818499 [0.834171,0.802752]
precision
0.811792 [0.831633,0.791855]
precision
0.810609 [0.806604,0.814634]
precision
0.805942 [0.813725,0.798122]
precision
0.800366 [0.823834,0.776786]
predictive_accuracy
0.796651
predictive_accuracy
0.801435
predictive_accuracy
0.782297
predictive_accuracy
0.782297
predictive_accuracy
0.808612
predictive_accuracy
0.811005
predictive_accuracy
0.796651
predictive_accuracy
0.820574
predictive_accuracy
0.779904
predictive_accuracy
0.815789
predictive_accuracy
0.779904
predictive_accuracy
0.80622
predictive_accuracy
0.758373
predictive_accuracy
0.822967
predictive_accuracy
0.784689
predictive_accuracy
0.782297
predictive_accuracy
0.789474
predictive_accuracy
0.772727
predictive_accuracy
0.796651
predictive_accuracy
0.767943
predictive_accuracy
0.842105
predictive_accuracy
0.811005
predictive_accuracy
0.796651
predictive_accuracy
0.791866
predictive_accuracy
0.815789
predictive_accuracy
0.760766
predictive_accuracy
0.825359
predictive_accuracy
0.796651
predictive_accuracy
0.796651
predictive_accuracy
0.777512
predictive_accuracy
0.77512
predictive_accuracy
0.76555
predictive_accuracy
0.834928
predictive_accuracy
0.758373
predictive_accuracy
0.787081
predictive_accuracy
0.791866
predictive_accuracy
0.748804
predictive_accuracy
0.758373
predictive_accuracy
0.779904
predictive_accuracy
0.818182
predictive_accuracy
0.770335
predictive_accuracy
0.767943
predictive_accuracy
0.811005
predictive_accuracy
0.796651
predictive_accuracy
0.787081
predictive_accuracy
0.789474
predictive_accuracy
0.822967
predictive_accuracy
0.815789
predictive_accuracy
0.811005
predictive_accuracy
0.811005
predictive_accuracy
0.772727
predictive_accuracy
0.794258
predictive_accuracy
0.794258
predictive_accuracy
0.803828
predictive_accuracy
0.779904
predictive_accuracy
0.808612
predictive_accuracy
0.777512
predictive_accuracy
0.80622
predictive_accuracy
0.779904
predictive_accuracy
0.80622
predictive_accuracy
0.782297
predictive_accuracy
0.777512
predictive_accuracy
0.832536
predictive_accuracy
0.796651
predictive_accuracy
0.80622
predictive_accuracy
0.815789
predictive_accuracy
0.782297
predictive_accuracy
0.799043
predictive_accuracy
0.796651
predictive_accuracy
0.784689
predictive_accuracy
0.810552
predictive_accuracy
0.788969
predictive_accuracy
0.796163
predictive_accuracy
0.788969
predictive_accuracy
0.791367
predictive_accuracy
0.800959
predictive_accuracy
0.791367
predictive_accuracy
0.81295
predictive_accuracy
0.808153
predictive_accuracy
0.781775
predictive_accuracy
0.827338
predictive_accuracy
0.815348
predictive_accuracy
0.779376
predictive_accuracy
0.781775
predictive_accuracy
0.781775
predictive_accuracy
0.77458
predictive_accuracy
0.776978
predictive_accuracy
0.757794
predictive_accuracy
0.793765
predictive_accuracy
0.755396
predictive_accuracy
0.791367
predictive_accuracy
0.788969
predictive_accuracy
0.784173
predictive_accuracy
0.81295
predictive_accuracy
0.803357
predictive_accuracy
0.817746
predictive_accuracy
0.810552
predictive_accuracy
0.810552
predictive_accuracy
0.805755
predictive_accuracy
0.798561
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
recall
0.796651 [0.746411,0.84689]
recall
0.801435 [0.752381,0.850962]
recall
0.782297 [0.741627,0.822967]
recall
0.782297 [0.752381,0.8125]
recall
0.808612 [0.76555,0.851675]
recall
0.811005 [0.794258,0.827751]
recall
0.796651 [0.76555,0.827751]
recall
0.820574 [0.77619,0.865385]
recall
0.779904 [0.77512,0.784689]
recall
0.815789 [0.755981,0.875598]
recall
0.779904 [0.77619,0.783654]
recall
0.80622 [0.766667,0.846154]
recall
0.758373 [0.72381,0.793269]
recall
0.822967 [0.814286,0.831731]
recall
0.784689 [0.795238,0.774038]
recall
0.782297 [0.780952,0.783654]
recall
0.789474 [0.77619,0.802885]
recall
0.772727 [0.728571,0.817308]
recall
0.796651 [0.728571,0.865385]
recall
0.767943 [0.742857,0.793269]
recall
0.842105 [0.819048,0.865385]
recall
0.811005 [0.780952,0.841346]
recall
0.796651 [0.790476,0.802885]
recall
0.791866 [0.761905,0.822115]
recall
0.815789 [0.752381,0.879808]
recall
0.760766 [0.738095,0.783654]
recall
0.825359 [0.8,0.850962]
recall
0.796651 [0.766667,0.826923]
recall
0.796651 [0.766667,0.826923]
recall
0.777512 [0.761905,0.793269]
recall
0.77512 [0.709524,0.841346]
recall
0.76555 [0.747619,0.783654]
recall
0.834928 [0.77619,0.894231]
recall
0.758373 [0.72381,0.793269]
recall
0.787081 [0.757143,0.817308]
recall
0.791866 [0.77619,0.807692]
recall
0.748804 [0.742857,0.754808]
recall
0.758373 [0.728571,0.788462]
recall
0.779904 [0.738095,0.822115]
recall
0.818182 [0.795238,0.841346]
recall
0.770335 [0.77619,0.764423]
recall
0.767943 [0.790476,0.745192]
recall
0.811005 [0.804762,0.817308]
recall
0.796651 [0.77619,0.817308]
recall
0.787081 [0.761905,0.8125]
recall
0.789474 [0.761905,0.817308]
recall
0.822967 [0.790476,0.855769]
recall
0.815789 [0.785714,0.846154]
recall
0.811005 [0.771429,0.850962]
recall
0.811005 [0.785714,0.836538]
recall
0.772727 [0.728571,0.817308]
recall
0.794258 [0.77619,0.8125]
recall
0.794258 [0.752381,0.836538]
recall
0.803828 [0.771429,0.836538]
recall
0.779904 [0.719048,0.841346]
recall
0.808612 [0.761905,0.855769]
recall
0.777512 [0.766667,0.788462]
recall
0.80622 [0.780952,0.831731]
recall
0.779904 [0.752381,0.807692]
recall
0.80622 [0.757143,0.855769]
recall
0.782297 [0.771429,0.793269]
recall
0.777512 [0.760766,0.794258]
recall
0.832536 [0.828571,0.836538]
recall
0.796651 [0.760766,0.832536]
recall
0.80622 [0.809524,0.802885]
recall
0.815789 [0.804762,0.826923]
recall
0.782297 [0.719048,0.846154]
recall
0.799043 [0.789474,0.808612]
recall
0.796651 [0.771429,0.822115]
recall
0.784689 [0.780952,0.788462]
recall
0.810552 [0.794258,0.826923]
recall
0.788969 [0.708134,0.870192]
recall
0.796163 [0.784689,0.807692]
recall
0.788969 [0.751196,0.826923]
recall
0.791367 [0.76555,0.817308]
recall
0.800959 [0.741627,0.860577]
recall
0.791367 [0.77512,0.807692]
recall
0.81295 [0.76555,0.860577]
recall
0.808153 [0.794258,0.822115]
recall
0.781775 [0.789474,0.774038]
recall
0.827338 [0.832536,0.822115]
recall
0.815348 [0.794258,0.836538]
recall
0.779376 [0.760766,0.798077]
recall
0.781775 [0.770335,0.793269]
recall
0.781775 [0.751196,0.8125]
recall
0.77458 [0.746411,0.802885]
recall
0.776978 [0.741627,0.8125]
recall
0.757794 [0.751196,0.764423]
recall
0.793765 [0.779904,0.807692]
recall
0.755396 [0.717703,0.793269]
recall
0.791367 [0.751196,0.831731]
recall
0.788969 [0.784689,0.793269]
recall
0.784173 [0.732057,0.836538]
recall
0.81295 [0.779904,0.846154]
recall
0.803357 [0.784689,0.822115]
recall
0.817746 [0.794258,0.841346]
recall
0.810552 [0.779904,0.841346]
recall
0.810552 [0.818182,0.802885]
recall
0.805755 [0.794258,0.817308]
recall
0.798561 [0.760766,0.836538]
relative_absolute_error
0.608158
relative_absolute_error
0.613867
relative_absolute_error
0.636472
relative_absolute_error
0.631144
relative_absolute_error
0.61868
relative_absolute_error
0.625016
relative_absolute_error
0.621704
relative_absolute_error
0.610293
relative_absolute_error
0.623771
relative_absolute_error
0.602183
relative_absolute_error
0.6398
relative_absolute_error
0.600927
relative_absolute_error
0.655226
relative_absolute_error
0.582877
relative_absolute_error
0.646088
relative_absolute_error
0.629221
relative_absolute_error
0.620702
relative_absolute_error
0.64766
relative_absolute_error
0.61847
relative_absolute_error
0.643306
relative_absolute_error
0.580813
relative_absolute_error
0.60673
relative_absolute_error
0.611292
relative_absolute_error
0.611306
relative_absolute_error
0.628404
relative_absolute_error
0.677115
relative_absolute_error
0.575599
relative_absolute_error
0.649714
relative_absolute_error
0.609741
relative_absolute_error
0.624607
relative_absolute_error
0.657718
relative_absolute_error
0.644694
relative_absolute_error
0.595442
relative_absolute_error
0.656081
relative_absolute_error
0.605848
relative_absolute_error
0.617374
relative_absolute_error
0.668443
relative_absolute_error
0.630658
relative_absolute_error
0.634617
relative_absolute_error
0.609292
relative_absolute_error
0.661446
relative_absolute_error
0.634694
relative_absolute_error
0.601688
relative_absolute_error
0.64141
relative_absolute_error
0.62817
relative_absolute_error
0.635659
relative_absolute_error
0.599388
relative_absolute_error
0.624553
relative_absolute_error
0.609278
relative_absolute_error
0.596352
relative_absolute_error
0.6281
relative_absolute_error
0.626262
relative_absolute_error
0.630825
relative_absolute_error
0.604893
relative_absolute_error
0.613035
relative_absolute_error
0.601754
relative_absolute_error
0.633615
relative_absolute_error
0.617137
relative_absolute_error
0.646034
relative_absolute_error
0.639486
relative_absolute_error
0.625369
relative_absolute_error
0.631314
relative_absolute_error
0.601727
relative_absolute_error
0.623866
relative_absolute_error
0.59227
relative_absolute_error
0.593134
relative_absolute_error
0.636668
relative_absolute_error
0.619299
relative_absolute_error
0.62598
relative_absolute_error
0.637355
relative_absolute_error
0.603201
relative_absolute_error
0.638221
relative_absolute_error
0.617542
relative_absolute_error
0.634818
relative_absolute_error
0.626508
relative_absolute_error
0.627794
relative_absolute_error
0.628225
relative_absolute_error
0.598319
relative_absolute_error
0.604546
relative_absolute_error
0.607793
relative_absolute_error
0.590814
relative_absolute_error
0.589799
relative_absolute_error
0.637366
relative_absolute_error
0.635637
relative_absolute_error
0.644482
relative_absolute_error
0.618929
relative_absolute_error
0.64342
relative_absolute_error
0.651596
relative_absolute_error
0.620702
relative_absolute_error
0.646762
relative_absolute_error
0.638116
relative_absolute_error
0.623051
relative_absolute_error
0.638192
relative_absolute_error
0.617401
relative_absolute_error
0.609406
relative_absolute_error
0.584119
relative_absolute_error
0.616889
relative_absolute_error
0.601774
relative_absolute_error
0.61013
relative_absolute_error
0.620951
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_squared_error
0.374369
root_mean_squared_error
0.378567
root_mean_squared_error
0.388157
root_mean_squared_error
0.387782
root_mean_squared_error
0.378061
root_mean_squared_error
0.382518
root_mean_squared_error
0.383154
root_mean_squared_error
0.376738
root_mean_squared_error
0.382407
root_mean_squared_error
0.366352
root_mean_squared_error
0.391946
root_mean_squared_error
0.374724
root_mean_squared_error
0.401145
root_mean_squared_error
0.353032
root_mean_squared_error
0.394026
root_mean_squared_error
0.383335
root_mean_squared_error
0.380763
root_mean_squared_error
0.393619
root_mean_squared_error
0.379567
root_mean_squared_error
0.395776
root_mean_squared_error
0.352151
root_mean_squared_error
0.36877
root_mean_squared_error
0.369543
root_mean_squared_error
0.378443
root_mean_squared_error
0.383061
root_mean_squared_error
0.412727
root_mean_squared_error
0.355668
root_mean_squared_error
0.389987
root_mean_squared_error
0.379091
root_mean_squared_error
0.383795
root_mean_squared_error
0.400508
root_mean_squared_error
0.396011
root_mean_squared_error
0.361157
root_mean_squared_error
0.403984
root_mean_squared_error
0.372893
root_mean_squared_error
0.378475
root_mean_squared_error
0.414546
root_mean_squared_error
0.388687
root_mean_squared_error
0.391063
root_mean_squared_error
0.370728
root_mean_squared_error
0.405187
root_mean_squared_error
0.389866
root_mean_squared_error
0.37639
root_mean_squared_error
0.389478
root_mean_squared_error
0.388809
root_mean_squared_error
0.387896
root_mean_squared_error
0.367653
root_mean_squared_error
0.377577
root_mean_squared_error
0.372037
root_mean_squared_error
0.363742
root_mean_squared_error
0.384627
root_mean_squared_error
0.38074
root_mean_squared_error
0.38693
root_mean_squared_error
0.377218
root_mean_squared_error
0.380181
root_mean_squared_error
0.367788
root_mean_squared_error
0.389942
root_mean_squared_error
0.377164
root_mean_squared_error
0.394797
root_mean_squared_error
0.384573
root_mean_squared_error
0.382018
root_mean_squared_error
0.385498
root_mean_squared_error
0.370349
root_mean_squared_error
0.384493
root_mean_squared_error
0.364704
root_mean_squared_error
0.363163
root_mean_squared_error
0.383025
root_mean_squared_error
0.384033
root_mean_squared_error
0.381459
root_mean_squared_error
0.391696
root_mean_squared_error
0.372477
root_mean_squared_error
0.389188
root_mean_squared_error
0.372517
root_mean_squared_error
0.385932
root_mean_squared_error
0.377581
root_mean_squared_error
0.381868
root_mean_squared_error
0.380729
root_mean_squared_error
0.367168
root_mean_squared_error
0.369937
root_mean_squared_error
0.374286
root_mean_squared_error
0.360689
root_mean_squared_error
0.364329
root_mean_squared_error
0.387566
root_mean_squared_error
0.38542
root_mean_squared_error
0.395595
root_mean_squared_error
0.38013
root_mean_squared_error
0.391762
root_mean_squared_error
0.402224
root_mean_squared_error
0.378089
root_mean_squared_error
0.401077
root_mean_squared_error
0.390368
root_mean_squared_error
0.387188
root_mean_squared_error
0.395628
root_mean_squared_error
0.376575
root_mean_squared_error
0.37298
root_mean_squared_error
0.366363
root_mean_squared_error
0.375356
root_mean_squared_error
0.368251
root_mean_squared_error
0.376432
root_mean_squared_error
0.385705
root_relative_squared_error
0.748732
root_relative_squared_error
0.757141
root_relative_squared_error
0.77631
root_relative_squared_error
0.775573
root_relative_squared_error
0.756118
root_relative_squared_error
0.765031
root_relative_squared_error
0.766302
root_relative_squared_error
0.753484
root_relative_squared_error
0.764809
root_relative_squared_error
0.732699
root_relative_squared_error
0.7839
root_relative_squared_error
0.749456
root_relative_squared_error
0.802299
root_relative_squared_error
0.706071
root_relative_squared_error
0.78806
root_relative_squared_error
0.766677
root_relative_squared_error
0.761534
root_relative_squared_error
0.787247
root_relative_squared_error
0.759143
root_relative_squared_error
0.791561
root_relative_squared_error
0.70431
root_relative_squared_error
0.737548
root_relative_squared_error
0.739094
root_relative_squared_error
0.756895
root_relative_squared_error
0.76613
root_relative_squared_error
0.825462
root_relative_squared_error
0.711343
root_relative_squared_error
0.779983
root_relative_squared_error
0.758191
root_relative_squared_error
0.767598
root_relative_squared_error
0.801025
root_relative_squared_error
0.792031
root_relative_squared_error
0.722322
root_relative_squared_error
0.807976
root_relative_squared_error
0.745794
root_relative_squared_error
0.756959
root_relative_squared_error
0.829101
root_relative_squared_error
0.777383
root_relative_squared_error
0.782135
root_relative_squared_error
0.741464
root_relative_squared_error
0.810383
root_relative_squared_error
0.779741
root_relative_squared_error
0.752788
root_relative_squared_error
0.778965
root_relative_squared_error
0.777626
root_relative_squared_error
0.775801
root_relative_squared_error
0.735314
root_relative_squared_error
0.755161
root_relative_squared_error
0.744082
root_relative_squared_error
0.727492
root_relative_squared_error
0.769262
root_relative_squared_error
0.761489
root_relative_squared_error
0.773869
root_relative_squared_error
0.754444
root_relative_squared_error
0.76037
root_relative_squared_error
0.735583
root_relative_squared_error
0.779893
root_relative_squared_error
0.754335
root_relative_squared_error
0.789602
root_relative_squared_error
0.769155
root_relative_squared_error
0.764043
root_relative_squared_error
0.77099
root_relative_squared_error
0.740706
root_relative_squared_error
0.768982
root_relative_squared_error
0.729416
root_relative_squared_error
0.726334
root_relative_squared_error
0.766058
root_relative_squared_error
0.768061
root_relative_squared_error
0.762925
root_relative_squared_error
0.783401
root_relative_squared_error
0.744955
root_relative_squared_error
0.778378
root_relative_squared_error
0.745035
root_relative_squared_error
0.771866
root_relative_squared_error
0.755164
root_relative_squared_error
0.763738
root_relative_squared_error
0.761459
root_relative_squared_error
0.734338
root_relative_squared_error
0.739875
root_relative_squared_error
0.748573
root_relative_squared_error
0.72138
root_relative_squared_error
0.72866
root_relative_squared_error
0.775134
root_relative_squared_error
0.770841
root_relative_squared_error
0.791193
root_relative_squared_error
0.760261
root_relative_squared_error
0.783525
root_relative_squared_error
0.804449
root_relative_squared_error
0.756179
root_relative_squared_error
0.802155
root_relative_squared_error
0.780738
root_relative_squared_error
0.774378
root_relative_squared_error
0.791258
root_relative_squared_error
0.753151
root_relative_squared_error
0.745961
root_relative_squared_error
0.732728
root_relative_squared_error
0.750713
root_relative_squared_error
0.736503
root_relative_squared_error
0.752866
root_relative_squared_error
0.771411
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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
2400
usercpu_time_millis
2380
usercpu_time_millis
2330
usercpu_time_millis
2330
usercpu_time_millis
2340
usercpu_time_millis
2330
usercpu_time_millis
2370
usercpu_time_millis
2380
usercpu_time_millis
2320
usercpu_time_millis
2370
usercpu_time_millis
2350
usercpu_time_millis
2340
usercpu_time_millis
2330
usercpu_time_millis
2360
usercpu_time_millis
2310
usercpu_time_millis
2340
usercpu_time_millis
2340
usercpu_time_millis
2350
usercpu_time_millis
2340
usercpu_time_millis
2300
usercpu_time_millis
2370
usercpu_time_millis
2330
usercpu_time_millis
2360
usercpu_time_millis
2350
usercpu_time_millis
2310
usercpu_time_millis
2310
usercpu_time_millis
2360
usercpu_time_millis
2360
usercpu_time_millis
2340
usercpu_time_millis
2340
usercpu_time_millis
2320
usercpu_time_millis
2330
usercpu_time_millis
2330
usercpu_time_millis
2290
usercpu_time_millis
2310
usercpu_time_millis
2350
usercpu_time_millis
2320
usercpu_time_millis
2350
usercpu_time_millis
2380
usercpu_time_millis
2330
usercpu_time_millis
2290
usercpu_time_millis
2350
usercpu_time_millis
2320
usercpu_time_millis
2310
usercpu_time_millis
2290
usercpu_time_millis
2350
usercpu_time_millis
2310
usercpu_time_millis
2370
usercpu_time_millis
2380
usercpu_time_millis
2340
usercpu_time_millis
2320
usercpu_time_millis
2350
usercpu_time_millis
2290
usercpu_time_millis
2310
usercpu_time_millis
2290
usercpu_time_millis
2350
usercpu_time_millis
2310
usercpu_time_millis
2360
usercpu_time_millis
2370
usercpu_time_millis
2360
usercpu_time_millis
2350
usercpu_time_millis
2370
usercpu_time_millis
2290
usercpu_time_millis
2290
usercpu_time_millis
2280
usercpu_time_millis
2350
usercpu_time_millis
2330
usercpu_time_millis
2390
usercpu_time_millis
2380
usercpu_time_millis
2340
usercpu_time_millis
2350
usercpu_time_millis
2330
usercpu_time_millis
2340
usercpu_time_millis
2290
usercpu_time_millis
2350
usercpu_time_millis
2310
usercpu_time_millis
2350
usercpu_time_millis
2440
usercpu_time_millis
2360
usercpu_time_millis
2400
usercpu_time_millis
2360
usercpu_time_millis
2350
usercpu_time_millis
2330
usercpu_time_millis
2290
usercpu_time_millis
2330
usercpu_time_millis
2320
usercpu_time_millis
2310
usercpu_time_millis
2360
usercpu_time_millis
2360
usercpu_time_millis
2350
usercpu_time_millis
2390
usercpu_time_millis
2320
usercpu_time_millis
2320
usercpu_time_millis
2300
usercpu_time_millis
2330
usercpu_time_millis
2310
usercpu_time_millis
2340
usercpu_time_millis
2360
usercpu_time_millis
2350
usercpu_time_millis
2330
usercpu_time_millis_testing
60
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
60
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
60
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
60
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_training
2340
usercpu_time_millis_training
2330
usercpu_time_millis_training
2290
usercpu_time_millis_training
2290
usercpu_time_millis_training
2290
usercpu_time_millis_training
2280
usercpu_time_millis_training
2320
usercpu_time_millis_training
2340
usercpu_time_millis_training
2280
usercpu_time_millis_training
2310
usercpu_time_millis_training
2300
usercpu_time_millis_training
2290
usercpu_time_millis_training
2280
usercpu_time_millis_training
2320
usercpu_time_millis_training
2270
usercpu_time_millis_training
2290
usercpu_time_millis_training
2300
usercpu_time_millis_training
2300
usercpu_time_millis_training
2290
usercpu_time_millis_training
2260
usercpu_time_millis_training
2320
usercpu_time_millis_training
2280
usercpu_time_millis_training
2310
usercpu_time_millis_training
2310
usercpu_time_millis_training
2260
usercpu_time_millis_training
2260
usercpu_time_millis_training
2310
usercpu_time_millis_training
2310
usercpu_time_millis_training
2300
usercpu_time_millis_training
2290
usercpu_time_millis_training
2270
usercpu_time_millis_training
2290
usercpu_time_millis_training
2280
usercpu_time_millis_training
2250
usercpu_time_millis_training
2270
usercpu_time_millis_training
2300
usercpu_time_millis_training
2260
usercpu_time_millis_training
2300
usercpu_time_millis_training
2330
usercpu_time_millis_training
2280
usercpu_time_millis_training
2240
usercpu_time_millis_training
2310
usercpu_time_millis_training
2280
usercpu_time_millis_training
2270
usercpu_time_millis_training
2240
usercpu_time_millis_training
2300
usercpu_time_millis_training
2270
usercpu_time_millis_training
2320
usercpu_time_millis_training
2340
usercpu_time_millis_training
2300
usercpu_time_millis_training
2280
usercpu_time_millis_training
2310
usercpu_time_millis_training
2240
usercpu_time_millis_training
2270
usercpu_time_millis_training
2240
usercpu_time_millis_training
2300
usercpu_time_millis_training
2260
usercpu_time_millis_training
2320
usercpu_time_millis_training
2320
usercpu_time_millis_training
2310
usercpu_time_millis_training
2300
usercpu_time_millis_training
2320
usercpu_time_millis_training
2250
usercpu_time_millis_training
2240
usercpu_time_millis_training
2240
usercpu_time_millis_training
2300
usercpu_time_millis_training
2290
usercpu_time_millis_training
2330
usercpu_time_millis_training
2330
usercpu_time_millis_training
2290
usercpu_time_millis_training
2300
usercpu_time_millis_training
2280
usercpu_time_millis_training
2290
usercpu_time_millis_training
2250
usercpu_time_millis_training
2310
usercpu_time_millis_training
2260
usercpu_time_millis_training
2300
usercpu_time_millis_training
2390
usercpu_time_millis_training
2310
usercpu_time_millis_training
2350
usercpu_time_millis_training
2310
usercpu_time_millis_training
2300
usercpu_time_millis_training
2280
usercpu_time_millis_training
2250
usercpu_time_millis_training
2280
usercpu_time_millis_training
2270
usercpu_time_millis_training
2260
usercpu_time_millis_training
2310
usercpu_time_millis_training
2310
usercpu_time_millis_training
2310
usercpu_time_millis_training
2340
usercpu_time_millis_training
2290
usercpu_time_millis_training
2280
usercpu_time_millis_training
2260
usercpu_time_millis_training
2290
usercpu_time_millis_training
2270
usercpu_time_millis_training
2290
usercpu_time_millis_training
2310
usercpu_time_millis_training
2310
usercpu_time_millis_training
2280