330681
2
Joaquin Vanschoren
4601
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
1043
ada_agnostic
https://www.openml.org/data/download/53926/ada_agnostic.arff
-1
1131022
description
https://api.openml.org/data/download/1131022/weka_generated_run2575166054568658323.xml
-1
1131025
model_readable
https://api.openml.org/data/download/1131025/WekaModel_weka.classifiers.meta.FilteredClassifier4925519254537806943.model
-1
1131024
model_serialized
https://api.openml.org/data/download/1131024/WekaSerialized_weka.classifiers.meta.FilteredClassifier6702483075862751817.model
-1
1131023
predictions
https://api.openml.org/data/download/1131023/weka_generated_predictions7602257769279023253.arff
area_under_roc_curve
0.845074 [0.845074,0.845074]
average_cost
0
f_measure
0.831558 [0.899177,0.626669]
kappa
0.529388
kb_relative_information_score
17494.434472
mean_absolute_error
0.222843
mean_prior_absolute_error
0.373185
number_of_instances
45620 [34300,11320]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.833555 [0.860385,0.752258]
predictive_accuracy
0.841232
prior_entropy
0.808488
recall
0.841232 [0.941633,0.537014]
relative_absolute_error
0.597139
root_mean_prior_squared_error
0.431932
root_mean_squared_error
0.342627
root_relative_squared_error
0.793243
scimark_benchmark
1318.302662 [807.1451315240397, 987.1695626777254, 532.8743896508222, 1087.2832789229374, 3177.0409487496904]
total_cost
0
usercpu_time_millis
150
usercpu_time_millis_testing
10
usercpu_time_millis_training
140
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f_measure
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kb_relative_information_score
171.876197
kb_relative_information_score
174.603211
kb_relative_information_score
176.111765
kb_relative_information_score
166.020106
kb_relative_information_score
144.640317
kb_relative_information_score
192.33617
kb_relative_information_score
190.729409
kb_relative_information_score
185.379561
kb_relative_information_score
169.623813
kb_relative_information_score
186.581335
kb_relative_information_score
194.459136
kb_relative_information_score
153.633241
kb_relative_information_score
178.538319
kb_relative_information_score
176.809849
kb_relative_information_score
156.472371
kb_relative_information_score
157.18918
kb_relative_information_score
185.350771
kb_relative_information_score
194.675963
kb_relative_information_score
177.597594
kb_relative_information_score
150.191796
kb_relative_information_score
184.620662
kb_relative_information_score
190.692378
kb_relative_information_score
179.63485
kb_relative_information_score
159.67601
kb_relative_information_score
183.658602
kb_relative_information_score
190.804303
kb_relative_information_score
184.56758
kb_relative_information_score
151.015041
kb_relative_information_score
187.902646
kb_relative_information_score
170.139746
kb_relative_information_score
173.531913
kb_relative_information_score
163.401631
kb_relative_information_score
173.429986
kb_relative_information_score
154.733097
kb_relative_information_score
185.324422
kb_relative_information_score
175.100867
kb_relative_information_score
175.696844
kb_relative_information_score
200.547145
kb_relative_information_score
181.380987
kb_relative_information_score
155.657483
kb_relative_information_score
171.972761
kb_relative_information_score
170.923511
kb_relative_information_score
177.711973
kb_relative_information_score
180.68005
kb_relative_information_score
180.545416
kb_relative_information_score
159.100207
kb_relative_information_score
176.158522
kb_relative_information_score
158.928591
kb_relative_information_score
164.479812
kb_relative_information_score
173.840674
kb_relative_information_score
175.627677
kb_relative_information_score
142.233082
kb_relative_information_score
173.845363
kb_relative_information_score
188.753239
kb_relative_information_score
165.491994
kb_relative_information_score
190.850509
kb_relative_information_score
179.80848
kb_relative_information_score
145.826864
kb_relative_information_score
167.635726
kb_relative_information_score
181.329262
kb_relative_information_score
168.25784
kb_relative_information_score
172.263125
kb_relative_information_score
153.915049
kb_relative_information_score
185.433884
kb_relative_information_score
202.12494
kb_relative_information_score
169.608942
kb_relative_information_score
171.978439
kb_relative_information_score
192.686839
kb_relative_information_score
172.755815
kb_relative_information_score
170.571416
kb_relative_information_score
179.677708
kb_relative_information_score
203.528058
kb_relative_information_score
183.755667
kb_relative_information_score
193.161844
kb_relative_information_score
183.928486
kb_relative_information_score
159.624099
kb_relative_information_score
166.452358
kb_relative_information_score
163.804361
mean_absolute_error
0.220464
mean_absolute_error
0.225108
mean_absolute_error
0.232558
mean_absolute_error
0.199565
mean_absolute_error
0.207499
mean_absolute_error
0.23108
mean_absolute_error
0.225637
mean_absolute_error
0.232254
mean_absolute_error
0.228434
mean_absolute_error
0.216701
mean_absolute_error
0.214687
mean_absolute_error
0.208722
mean_absolute_error
0.242128
mean_absolute_error
0.217802
mean_absolute_error
0.22193
mean_absolute_error
0.223294
mean_absolute_error
0.223738
mean_absolute_error
0.223543
mean_absolute_error
0.23184
mean_absolute_error
0.225683
mean_absolute_error
0.240612
mean_absolute_error
0.216649
mean_absolute_error
0.225865
mean_absolute_error
0.223341
mean_absolute_error
0.220704
mean_absolute_error
0.230639
mean_absolute_error
0.242107
mean_absolute_error
0.208932
mean_absolute_error
0.211326
mean_absolute_error
0.216984
mean_absolute_error
0.227185
mean_absolute_error
0.212602
mean_absolute_error
0.20935
mean_absolute_error
0.237888
mean_absolute_error
0.220921
mean_absolute_error
0.221991
mean_absolute_error
0.235581
mean_absolute_error
0.232715
mean_absolute_error
0.212666
mean_absolute_error
0.209354
mean_absolute_error
0.222118
mean_absolute_error
0.237096
mean_absolute_error
0.215059
mean_absolute_error
0.211566
mean_absolute_error
0.221441
mean_absolute_error
0.231778
mean_absolute_error
0.215515
mean_absolute_error
0.213047
mean_absolute_error
0.217423
mean_absolute_error
0.240334
mean_absolute_error
0.21078
mean_absolute_error
0.228192
mean_absolute_error
0.224306
mean_absolute_error
0.229885
mean_absolute_error
0.222786
mean_absolute_error
0.235421
mean_absolute_error
0.215488
mean_absolute_error
0.220357
mean_absolute_error
0.219638
mean_absolute_error
0.204863
mean_absolute_error
0.21722
mean_absolute_error
0.236074
mean_absolute_error
0.22247
mean_absolute_error
0.228283
mean_absolute_error
0.219937
mean_absolute_error
0.220273
mean_absolute_error
0.218759
mean_absolute_error
0.233159
mean_absolute_error
0.221983
mean_absolute_error
0.23414
mean_absolute_error
0.228911
mean_absolute_error
0.224395
mean_absolute_error
0.220178
mean_absolute_error
0.244708
mean_absolute_error
0.222868
mean_absolute_error
0.214123
mean_absolute_error
0.230779
mean_absolute_error
0.212153
mean_absolute_error
0.219712
mean_absolute_error
0.240418
mean_absolute_error
0.226771
mean_absolute_error
0.216671
mean_absolute_error
0.226738
mean_absolute_error
0.224743
mean_absolute_error
0.239157
mean_absolute_error
0.214536
mean_absolute_error
0.205177
mean_absolute_error
0.226561
mean_absolute_error
0.224406
mean_absolute_error
0.212335
mean_absolute_error
0.226288
mean_absolute_error
0.228353
mean_absolute_error
0.218104
mean_absolute_error
0.203104
mean_absolute_error
0.217757
mean_absolute_error
0.208532
mean_absolute_error
0.216936
mean_absolute_error
0.233999
mean_absolute_error
0.229314
mean_absolute_error
0.227151
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
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0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
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number_of_instances
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number_of_instances
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456 [343,113]
number_of_instances
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number_of_instances
456 [343,113]
number_of_instances
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number_of_instances
456 [343,113]
number_of_instances
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
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number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
precision
0.837687 [0.861702,0.765432]
precision
0.842556 [0.86631,0.771084]
precision
0.810234 [0.859116,0.663158]
precision
0.854639 [0.882192,0.771739]
precision
0.87262 [0.874016,0.868421]
precision
0.829029 [0.834171,0.813559]
precision
0.827519 [0.858289,0.73494]
precision
0.835082 [0.861333,0.756098]
precision
0.824995 [0.856,0.731707]
precision
0.845458 [0.864721,0.7875]
precision
0.83117 [0.870523,0.712766]
precision
0.862977 [0.866841,0.851351]
precision
0.813237 [0.828715,0.766667]
precision
0.846985 [0.859008,0.810811]
precision
0.828245 [0.86612,0.714286]
precision
0.844659 [0.856771,0.808219]
precision
0.817006 [0.862259,0.680851]
precision
0.837153 [0.844388,0.815385]
precision
0.816083 [0.838046,0.75]
precision
0.833916 [0.851562,0.780822]
precision
0.822437 [0.83715,0.777778]
precision
0.828084 [0.868132,0.706522]
precision
0.840138 [0.876033,0.731183]
precision
0.84131 [0.843038,0.836066]
precision
0.829968 [0.853018,0.76]
precision
0.839431 [0.867925,0.752941]
precision
0.798478 [0.83905,0.675325]
precision
0.848159 [0.863158,0.802632]
precision
0.849298 [0.877384,0.764045]
precision
0.844639 [0.866667,0.777778]
precision
0.834488 [0.865229,0.741176]
precision
0.844852 [0.854922,0.814286]
precision
0.849264 [0.875339,0.770115]
precision
0.807506 [0.851351,0.674419]
precision
0.836947 [0.865591,0.75]
precision
0.83226 [0.866848,0.727273]
precision
0.818091 [0.860656,0.688889]
precision
0.821847 [0.851852,0.730769]
precision
0.847681 [0.865079,0.794872]
precision
0.839997 [0.884181,0.705882]
precision
0.83712 [0.869565,0.738636]
precision
0.802142 [0.846774,0.666667]
precision
0.836947 [0.865591,0.75]
precision
0.83812 [0.856021,0.783784]
precision
0.835807 [0.875346,0.715789]
precision
0.808884 [0.844327,0.701299]
precision
0.840524 [0.858268,0.786667]
precision
0.848756 [0.861257,0.810811]
precision
0.846822 [0.872973,0.767442]
precision
0.813322 [0.834184,0.75]
precision
0.837325 [0.871585,0.733333]
precision
0.844919 [0.864721,0.78481]
precision
0.834603 [0.867209,0.735632]
precision
0.817408 [0.841969,0.742857]
precision
0.841919 [0.86828,0.761905]
precision
0.828285 [0.839695,0.793651]
precision
0.850051 [0.867374,0.797468]
precision
0.822249 [0.859459,0.709302]
precision
0.836987 [0.863636,0.756098]
precision
0.852087 [0.871658,0.792683]
precision
0.856932 [0.858247,0.852941]
precision
0.832802 [0.853403,0.77027]
precision
0.83226 [0.866848,0.727273]
precision
0.846601 [0.893678,0.703704]
precision
0.832078 [0.864865,0.732558]
precision
0.841919 [0.86828,0.761905]
precision
0.825496 [0.865753,0.703297]
precision
0.816719 [0.847368,0.723684]
precision
0.829444 [0.858667,0.740741]
precision
0.803778 [0.834625,0.710145]
precision
0.838679 [0.854167,0.791667]
precision
0.834488 [0.865229,0.741176]
precision
0.8322 [0.845758,0.791045]
precision
0.820943 [0.833333,0.783333]
precision
0.829716 [0.864499,0.724138]
precision
0.849705 [0.869333,0.790123]
precision
0.834655 [0.859416,0.759494]
precision
0.834796 [0.86921,0.730337]
precision
0.845304 [0.862797,0.792208]
precision
0.802962 [0.855956,0.642105]
precision
0.814271 [0.843342,0.726027]
precision
0.848159 [0.863158,0.802632]
precision
0.816727 [0.851064,0.7125]
precision
0.834509 [0.861333,0.753086]
precision
0.817226 [0.870056,0.656863]
precision
0.842217 [0.864362,0.775]
precision
0.866164 [0.89011,0.793478]
precision
0.835807 [0.875346,0.715789]
precision
0.834509 [0.861333,0.753086]
precision
0.858639 [0.868421,0.828947]
precision
0.849462 [0.871314,0.783133]
precision
0.822167 [0.848168,0.743243]
precision
0.844561 [0.849105,0.830769]
precision
0.850227 [0.885794,0.742268]
precision
0.834898 [0.85752,0.766234]
precision
0.864145 [0.881402,0.811765]
precision
0.851781 [0.861619,0.821918]
precision
0.837832 [0.848329,0.80597]
precision
0.816855 [0.852941,0.707317]
precision
0.824442 [0.875354,0.669903]
predictive_accuracy
0.844639
predictive_accuracy
0.849015
predictive_accuracy
0.818381
predictive_accuracy
0.859956
predictive_accuracy
0.873085
predictive_accuracy
0.83151
predictive_accuracy
0.835886
predictive_accuracy
0.842451
predictive_accuracy
0.833698
predictive_accuracy
0.851204
predictive_accuracy
0.838074
predictive_accuracy
0.864333
predictive_accuracy
0.820569
predictive_accuracy
0.851204
predictive_accuracy
0.835886
predictive_accuracy
0.849015
predictive_accuracy
0.824945
predictive_accuracy
0.840263
predictive_accuracy
0.824945
predictive_accuracy
0.840263
predictive_accuracy
0.828947
predictive_accuracy
0.835526
predictive_accuracy
0.846491
predictive_accuracy
0.842105
predictive_accuracy
0.837719
predictive_accuracy
0.846491
predictive_accuracy
0.811404
predictive_accuracy
0.85307
predictive_accuracy
0.855263
predictive_accuracy
0.850877
predictive_accuracy
0.842105
predictive_accuracy
0.848684
predictive_accuracy
0.855263
predictive_accuracy
0.817982
predictive_accuracy
0.844298
predictive_accuracy
0.839912
predictive_accuracy
0.826754
predictive_accuracy
0.83114
predictive_accuracy
0.85307
predictive_accuracy
0.844298
predictive_accuracy
0.844298
predictive_accuracy
0.813596
predictive_accuracy
0.844298
predictive_accuracy
0.844298
predictive_accuracy
0.842105
predictive_accuracy
0.820175
predictive_accuracy
0.846491
predictive_accuracy
0.85307
predictive_accuracy
0.85307
predictive_accuracy
0.822368
predictive_accuracy
0.844298
predictive_accuracy
0.850877
predictive_accuracy
0.842105
predictive_accuracy
0.826754
predictive_accuracy
0.848684
predictive_accuracy
0.833333
predictive_accuracy
0.855263
predictive_accuracy
0.83114
predictive_accuracy
0.844298
predictive_accuracy
0.857456
predictive_accuracy
0.857456
predictive_accuracy
0.839912
predictive_accuracy
0.839912
predictive_accuracy
0.848684
predictive_accuracy
0.839912
predictive_accuracy
0.848684
predictive_accuracy
0.833333
predictive_accuracy
0.826754
predictive_accuracy
0.837719
predictive_accuracy
0.815789
predictive_accuracy
0.844298
predictive_accuracy
0.842105
predictive_accuracy
0.837719
predictive_accuracy
0.826754
predictive_accuracy
0.837719
predictive_accuracy
0.855263
predictive_accuracy
0.842105
predictive_accuracy
0.842105
predictive_accuracy
0.850877
predictive_accuracy
0.811404
predictive_accuracy
0.824561
predictive_accuracy
0.85307
predictive_accuracy
0.826754
predictive_accuracy
0.842105
predictive_accuracy
0.822368
predictive_accuracy
0.848684
predictive_accuracy
0.870614
predictive_accuracy
0.842105
predictive_accuracy
0.842105
predictive_accuracy
0.861842
predictive_accuracy
0.855263
predictive_accuracy
0.83114
predictive_accuracy
0.846491
predictive_accuracy
0.855263
predictive_accuracy
0.842105
predictive_accuracy
0.868421
predictive_accuracy
0.855263
predictive_accuracy
0.842105
predictive_accuracy
0.826754
predictive_accuracy
0.828947
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
recall
0.844639 [0.944606,0.54386]
recall
0.849015 [0.944606,0.561404]
recall
0.818381 [0.906706,0.552632]
recall
0.859956 [0.938776,0.622807]
recall
0.873085 [0.970845,0.578947]
recall
0.83151 [0.96793,0.421053]
recall
0.835886 [0.93586,0.535088]
recall
0.842451 [0.941691,0.54386]
recall
0.833698 [0.93586,0.526316]
recall
0.851204 [0.950437,0.552632]
recall
0.838074 [0.921283,0.587719]
recall
0.864333 [0.96793,0.552632]
recall
0.820569 [0.959184,0.403509]
recall
0.851204 [0.959184,0.526316]
recall
0.835886 [0.924198,0.570175]
recall
0.849015 [0.959184,0.517544]
recall
0.824945 [0.912536,0.561404]
recall
0.840263 [0.965015,0.464912]
recall
0.824945 [0.950437,0.447368]
recall
0.840263 [0.953353,0.5]
recall
0.828947 [0.959184,0.433628]
recall
0.835526 [0.921283,0.575221]
recall
0.846491 [0.927114,0.60177]
recall
0.842105 [0.970845,0.451327]
recall
0.837719 [0.947522,0.504425]
recall
0.846491 [0.938776,0.566372]
recall
0.811404 [0.927114,0.460177]
recall
0.85307 [0.956268,0.539823]
recall
0.855263 [0.938776,0.60177]
recall
0.850877 [0.947522,0.557522]
recall
0.842105 [0.93586,0.557522]
recall
0.848684 [0.962099,0.504425]
recall
0.855263 [0.941691,0.59292]
recall
0.817982 [0.918367,0.513274]
recall
0.844298 [0.938776,0.557522]
recall
0.839912 [0.930029,0.566372]
recall
0.826754 [0.918367,0.548673]
recall
0.83114 [0.938776,0.504425]
recall
0.85307 [0.953353,0.548673]
recall
0.844298 [0.912536,0.637168]
recall
0.844298 [0.932945,0.575221]
recall
0.813596 [0.918367,0.495575]
recall
0.844298 [0.938776,0.557522]
recall
0.844298 [0.953353,0.513274]
recall
0.842105 [0.921283,0.60177]
recall
0.820175 [0.932945,0.477876]
recall
0.846491 [0.953353,0.522124]
recall
0.85307 [0.959184,0.530973]
recall
0.85307 [0.941691,0.584071]
recall
0.822368 [0.953353,0.424779]
recall
0.844298 [0.930029,0.584071]
recall
0.850877 [0.950437,0.548673]
recall
0.842105 [0.932945,0.566372]
recall
0.826754 [0.947522,0.460177]
recall
0.848684 [0.941691,0.566372]
recall
0.833333 [0.962099,0.442478]
recall
0.855263 [0.953353,0.557522]
recall
0.83114 [0.927114,0.539823]
recall
0.844298 [0.941691,0.548673]
recall
0.857456 [0.950437,0.575221]
recall
0.857456 [0.970845,0.513274]
recall
0.839912 [0.950437,0.504425]
recall
0.839912 [0.930029,0.566372]
recall
0.848684 [0.906706,0.672566]
recall
0.839912 [0.932945,0.557522]
recall
0.848684 [0.941691,0.566372]
recall
0.833333 [0.921283,0.566372]
recall
0.826754 [0.938776,0.486726]
recall
0.837719 [0.938776,0.530973]
recall
0.815789 [0.941691,0.433628]
recall
0.844298 [0.956268,0.504425]
recall
0.842105 [0.93586,0.557522]
recall
0.837719 [0.959184,0.469027]
recall
0.826754 [0.962099,0.415929]
recall
0.837719 [0.930029,0.557522]
recall
0.855263 [0.950437,0.566372]
recall
0.842105 [0.944606,0.530973]
recall
0.842105 [0.930029,0.575221]
recall
0.850877 [0.953353,0.539823]
recall
0.811404 [0.900875,0.539823]
recall
0.824561 [0.941691,0.469027]
recall
0.85307 [0.956268,0.539823]
recall
0.826754 [0.932945,0.504425]
recall
0.842105 [0.941691,0.539823]
recall
0.822368 [0.897959,0.59292]
recall
0.848684 [0.947522,0.548673]
recall
0.870614 [0.944606,0.646018]
recall
0.842105 [0.921283,0.60177]
recall
0.842105 [0.941691,0.539823]
recall
0.861842 [0.962099,0.557522]
recall
0.855263 [0.947522,0.575221]
recall
0.83114 [0.944606,0.486726]
recall
0.846491 [0.96793,0.477876]
recall
0.855263 [0.927114,0.637168]
recall
0.842105 [0.947522,0.522124]
recall
0.868421 [0.953353,0.610619]
recall
0.855263 [0.962099,0.530973]
recall
0.842105 [0.962099,0.477876]
recall
0.826754 [0.930029,0.513274]
recall
0.828947 [0.900875,0.610619]
relative_absolute_error
0.589716
relative_absolute_error
0.602137
relative_absolute_error
0.622065
relative_absolute_error
0.533813
relative_absolute_error
0.555035
relative_absolute_error
0.618113
relative_absolute_error
0.603553
relative_absolute_error
0.621251
relative_absolute_error
0.611035
relative_absolute_error
0.57965
relative_absolute_error
0.574264
relative_absolute_error
0.558307
relative_absolute_error
0.647665
relative_absolute_error
0.582595
relative_absolute_error
0.593636
relative_absolute_error
0.597285
relative_absolute_error
0.598473
relative_absolute_error
0.597952
relative_absolute_error
0.620146
relative_absolute_error
0.603676
relative_absolute_error
0.645039
relative_absolute_error
0.580797
relative_absolute_error
0.605505
relative_absolute_error
0.598738
relative_absolute_error
0.591669
relative_absolute_error
0.618304
relative_absolute_error
0.649047
relative_absolute_error
0.560109
relative_absolute_error
0.566529
relative_absolute_error
0.581695
relative_absolute_error
0.609043
relative_absolute_error
0.56995
relative_absolute_error
0.561231
relative_absolute_error
0.637736
relative_absolute_error
0.592251
relative_absolute_error
0.59512
relative_absolute_error
0.631552
relative_absolute_error
0.623869
relative_absolute_error
0.570121
relative_absolute_error
0.561243
relative_absolute_error
0.595459
relative_absolute_error
0.635613
relative_absolute_error
0.576535
relative_absolute_error
0.567172
relative_absolute_error
0.593644
relative_absolute_error
0.621356
relative_absolute_error
0.577758
relative_absolute_error
0.571142
relative_absolute_error
0.582874
relative_absolute_error
0.644293
relative_absolute_error
0.565063
relative_absolute_error
0.611744
relative_absolute_error
0.601326
relative_absolute_error
0.616281
relative_absolute_error
0.59725
relative_absolute_error
0.631124
relative_absolute_error
0.577686
relative_absolute_error
0.59074
relative_absolute_error
0.58881
relative_absolute_error
0.549202
relative_absolute_error
0.58233
relative_absolute_error
0.632874
relative_absolute_error
0.596402
relative_absolute_error
0.611987
relative_absolute_error
0.589613
relative_absolute_error
0.590512
relative_absolute_error
0.586456
relative_absolute_error
0.625058
relative_absolute_error
0.595098
relative_absolute_error
0.62769
relative_absolute_error
0.613672
relative_absolute_error
0.601563
relative_absolute_error
0.590258
relative_absolute_error
0.656018
relative_absolute_error
0.597469
relative_absolute_error
0.574026
relative_absolute_error
0.618679
relative_absolute_error
0.568746
relative_absolute_error
0.589009
relative_absolute_error
0.644519
relative_absolute_error
0.607933
relative_absolute_error
0.580857
relative_absolute_error
0.607846
relative_absolute_error
0.602497
relative_absolute_error
0.641138
relative_absolute_error
0.575134
relative_absolute_error
0.550044
relative_absolute_error
0.60737
relative_absolute_error
0.601592
relative_absolute_error
0.569233
relative_absolute_error
0.606637
relative_absolute_error
0.612176
relative_absolute_error
0.5847
relative_absolute_error
0.544486
relative_absolute_error
0.583768
relative_absolute_error
0.559037
relative_absolute_error
0.581567
relative_absolute_error
0.62731
relative_absolute_error
0.614751
relative_absolute_error
0.608952
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_squared_error
0.342993
root_mean_squared_error
0.335764
root_mean_squared_error
0.351638
root_mean_squared_error
0.31117
root_mean_squared_error
0.326387
root_mean_squared_error
0.363236
root_mean_squared_error
0.354236
root_mean_squared_error
0.346095
root_mean_squared_error
0.348635
root_mean_squared_error
0.332783
root_mean_squared_error
0.336108
root_mean_squared_error
0.325094
root_mean_squared_error
0.355473
root_mean_squared_error
0.342584
root_mean_squared_error
0.346686
root_mean_squared_error
0.338612
root_mean_squared_error
0.34583
root_mean_squared_error
0.338612
root_mean_squared_error
0.352463
root_mean_squared_error
0.35176
root_mean_squared_error
0.363294
root_mean_squared_error
0.339491
root_mean_squared_error
0.337919
root_mean_squared_error
0.346307
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