214814
2
Joaquin Vanschoren
4653
Supervised Classification
predictive_accuracy
1191
weka.LogitBoost_DecisionStump(3)
2041
weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 10 -W weka.classifiers.trees.DecisionStump
P
100
1191
L
-1.7976931348623157E308
1191
H
1.0
1191
Z
3.0
1191
O
1
1191
E
1
1191
S
1
1191
I
10
1191
W
weka.classifiers.trees.DecisionStump
1191
weka
weka_3.7.12
1114
KDDCup09_upselling
https://www.openml.org/data/download/53997/KDDCup09_upselling.arff
-1
716492
description
https://api.openml.org/data/download/716492/weka_generated_run100282936281826914.xml
-1
716495
model_readable
https://api.openml.org/data/download/716495/WekaModel_weka.classifiers.meta.LogitBoost3746974351377570546.model
-1
716494
model_serialized
https://api.openml.org/data/download/716494/WekaSerialized_weka.classifiers.meta.LogitBoost61124557904748022.model
-1
716493
predictions
https://api.openml.org/data/download/716493/weka_generated_predictions1237058080697408850.arff
area_under_roc_curve
0.855514 [0.855514,0.855514]
average_cost
0
f_measure
0.944101 [0.973987,0.568145]
kappa
0.544538
kb_relative_information_score
90078.829339
mean_absolute_error
0.091544
mean_prior_absolute_error
0.136449
number_of_instances
500000 [463180,36820]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.945893 [0.956915,0.807233]
predictive_accuracy
0.95093
prior_entropy
0.379425
recall
0.95093 [0.991679,0.438322]
relative_absolute_error
0.670902
root_mean_prior_squared_error
0.261184
root_mean_squared_error
0.211072
root_relative_squared_error
0.808135
scimark_benchmark
925.497406 [547.8142687314753, 938.8331298643554, 481.28276544297296, 905.1933987820893, 1754.3634695038145]
total_cost
0
usercpu_time_millis
35150
usercpu_time_millis_testing
70
usercpu_time_millis_training
35080
area_under_roc_curve
0.857137 [0.857137,0.857137]
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.850958 [0.850958,0.850958]
area_under_roc_curve
0.84269 [0.84269,0.84269]
area_under_roc_curve
0.857667 [0.857667,0.857667]
area_under_roc_curve
0.847935 [0.847935,0.847935]
area_under_roc_curve
0.854225 [0.854225,0.854225]
area_under_roc_curve
0.839704 [0.839704,0.839704]
area_under_roc_curve
0.849831 [0.849831,0.849831]
area_under_roc_curve
0.844352 [0.844352,0.844352]
area_under_roc_curve
0.860808 [0.860808,0.860808]
area_under_roc_curve
0.856571 [0.856571,0.856571]
area_under_roc_curve
0.853125 [0.853125,0.853125]
area_under_roc_curve
0.871383 [0.871383,0.871383]
area_under_roc_curve
0.845382 [0.845382,0.845382]
area_under_roc_curve
0.852344 [0.852344,0.852344]
area_under_roc_curve
0.870114 [0.870114,0.870114]
area_under_roc_curve
0.867359 [0.867359,0.867359]
area_under_roc_curve
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average_cost
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f_measure
0.944559 [0.974005,0.573913]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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880.226348
kb_relative_information_score
870.751022
kb_relative_information_score
767.982928
kb_relative_information_score
766.798804
kb_relative_information_score
949.907464
kb_relative_information_score
857.702363
kb_relative_information_score
960.506296
kb_relative_information_score
754.388008
kb_relative_information_score
983.741518
kb_relative_information_score
994.4589
kb_relative_information_score
862.401728
kb_relative_information_score
1122.323812
kb_relative_information_score
1015.892625
kb_relative_information_score
799.47765
kb_relative_information_score
870.558927
kb_relative_information_score
731.79767
kb_relative_information_score
726.329262
kb_relative_information_score
723.191546
kb_relative_information_score
932.439399
kb_relative_information_score
1016.023437
kb_relative_information_score
783.97352
kb_relative_information_score
861.315975
kb_relative_information_score
1050.10049
kb_relative_information_score
1011.522747
kb_relative_information_score
987.65274
kb_relative_information_score
971.207542
kb_relative_information_score
1211.837796
kb_relative_information_score
885.412386
kb_relative_information_score
877.70321
kb_relative_information_score
759.30347
kb_relative_information_score
815.218351
kb_relative_information_score
823.178945
kb_relative_information_score
1039.039814
kb_relative_information_score
1066.591283
kb_relative_information_score
959.440099
kb_relative_information_score
985.586657
kb_relative_information_score
1004.378304
kb_relative_information_score
942.836959
kb_relative_information_score
895.289231
kb_relative_information_score
1023.014275
kb_relative_information_score
1045.261034
kb_relative_information_score
993.174436
kb_relative_information_score
839.692023
kb_relative_information_score
890.181183
kb_relative_information_score
794.742649
kb_relative_information_score
1130.088262
kb_relative_information_score
888.947687
kb_relative_information_score
1090.303839
kb_relative_information_score
777.837795
kb_relative_information_score
914.858592
kb_relative_information_score
980.699411
kb_relative_information_score
731.124668
kb_relative_information_score
644.579162
kb_relative_information_score
875.856454
kb_relative_information_score
1003.609767
kb_relative_information_score
778.632149
kb_relative_information_score
672.41318
kb_relative_information_score
868.56856
kb_relative_information_score
939.497264
kb_relative_information_score
858.80353
kb_relative_information_score
1033.350051
kb_relative_information_score
822.387019
kb_relative_information_score
932.962926
kb_relative_information_score
1089.755945
kb_relative_information_score
974.530171
kb_relative_information_score
984.341374
kb_relative_information_score
1059.35978
kb_relative_information_score
861.507367
kb_relative_information_score
926.128315
kb_relative_information_score
1108.326727
kb_relative_information_score
651.052706
kb_relative_information_score
683.39565
kb_relative_information_score
640.668298
kb_relative_information_score
714.855641
kb_relative_information_score
938.393001
kb_relative_information_score
1022.902275
kb_relative_information_score
605.958017
kb_relative_information_score
919.315494
kb_relative_information_score
1123.913007
kb_relative_information_score
752.661878
kb_relative_information_score
1172.694878
kb_relative_information_score
1123.708741
kb_relative_information_score
1001.230736
kb_relative_information_score
921.111878
mean_absolute_error
0.091706
mean_absolute_error
0.09201
mean_absolute_error
0.089983
mean_absolute_error
0.090387
mean_absolute_error
0.091535
mean_absolute_error
0.091572
mean_absolute_error
0.091272
mean_absolute_error
0.091763
mean_absolute_error
0.090313
mean_absolute_error
0.09515
mean_absolute_error
0.091947
mean_absolute_error
0.091434
mean_absolute_error
0.093128
mean_absolute_error
0.093402
mean_absolute_error
0.092269
mean_absolute_error
0.091292
mean_absolute_error
0.092592
mean_absolute_error
0.093576
mean_absolute_error
0.092372
mean_absolute_error
0.091451
mean_absolute_error
0.091181
mean_absolute_error
0.092884
mean_absolute_error
0.09155
mean_absolute_error
0.091532
mean_absolute_error
0.090316
mean_absolute_error
0.090672
mean_absolute_error
0.090633
mean_absolute_error
0.089206
mean_absolute_error
0.090614
mean_absolute_error
0.092056
mean_absolute_error
0.092994
mean_absolute_error
0.094053
mean_absolute_error
0.092437
mean_absolute_error
0.091432
mean_absolute_error
0.092295
mean_absolute_error
0.09087
mean_absolute_error
0.093937
mean_absolute_error
0.090396
mean_absolute_error
0.090442
mean_absolute_error
0.090749
mean_absolute_error
0.088359
mean_absolute_error
0.091385
mean_absolute_error
0.087142
mean_absolute_error
0.089694
mean_absolute_error
0.09006
mean_absolute_error
0.092465
mean_absolute_error
0.092729
mean_absolute_error
0.092903
mean_absolute_error
0.090561
mean_absolute_error
0.089858
mean_absolute_error
0.091806
mean_absolute_error
0.091258
mean_absolute_error
0.091398
mean_absolute_error
0.0925
mean_absolute_error
0.092642
mean_absolute_error
0.09004
mean_absolute_error
0.090113
mean_absolute_error
0.090964
mean_absolute_error
0.093188
mean_absolute_error
0.089907
mean_absolute_error
0.092199
mean_absolute_error
0.089147
mean_absolute_error
0.092711
mean_absolute_error
0.089892
mean_absolute_error
0.091854
mean_absolute_error
0.092552
mean_absolute_error
0.091499
mean_absolute_error
0.092655
mean_absolute_error
0.093064
mean_absolute_error
0.092359
mean_absolute_error
0.091189
mean_absolute_error
0.09091
mean_absolute_error
0.093037
mean_absolute_error
0.090816
mean_absolute_error
0.091842
mean_absolute_error
0.091379
mean_absolute_error
0.09053
mean_absolute_error
0.090798
mean_absolute_error
0.09045
mean_absolute_error
0.089623
mean_absolute_error
0.09117
mean_absolute_error
0.090672
mean_absolute_error
0.090144
mean_absolute_error
0.093615
mean_absolute_error
0.092593
mean_absolute_error
0.090206
mean_absolute_error
0.093152
mean_absolute_error
0.093672
mean_absolute_error
0.092832
mean_absolute_error
0.09216
mean_absolute_error
0.092601
mean_absolute_error
0.091667
mean_absolute_error
0.093696
mean_absolute_error
0.092538
mean_absolute_error
0.089997
mean_absolute_error
0.094579
mean_absolute_error
0.088859
mean_absolute_error
0.08924
mean_absolute_error
0.091627
mean_absolute_error
0.092478
mean_prior_absolute_error
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mean_prior_absolute_error
0.136415
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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0.136415
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0.136415
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0.136415
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0.136415
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0.136415
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0.136415
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0.136415
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0.136415
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number_of_instances
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number_of_instances
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precision
0.94583 [0.957647,0.797101]
precision
0.946819 [0.957292,0.815]
precision
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precision
0.94819 [0.957908,0.825871]
precision
0.949213 [0.957744,0.841837]
precision
0.944407 [0.955879,0.8]
precision
0.946884 [0.958438,0.801887]
precision
0.947674 [0.955971,0.843243]
precision
0.949625 [0.960653,0.810811]
precision
0.939411 [0.953063,0.767568]
precision
0.94421 [0.95683,0.785366]
precision
0.943529 [0.955662,0.790816]
precision
0.942286 [0.956005,0.769608]
precision
0.943047 [0.957749,0.757991]
precision
0.94394 [0.955292,0.801047]
precision
0.947904 [0.956938,0.834197]
precision
0.943304 [0.955454,0.790816]
precision
0.940688 [0.954621,0.765306]
precision
0.942206 [0.954668,0.78534]
precision
0.945547 [0.956296,0.810256]
precision
0.946463 [0.957473,0.807882]
precision
0.942512 [0.957349,0.75576]
precision
0.944632 [0.954357,0.822222]
precision
0.946484 [0.959205,0.786364]
precision
0.947828 [0.957128,0.830769]
precision
0.94577 [0.958029,0.791469]
precision
0.945467 [0.958211,0.785047]
precision
0.952516 [0.960735,0.849057]
precision
0.949319 [0.956206,0.862637]
precision
0.943979 [0.95644,0.787129]
precision
0.946379 [0.957855,0.801932]
precision
0.939867 [0.954025,0.761658]
precision
0.945143 [0.954753,0.824176]
precision
0.947881 [0.957899,0.821782]
precision
0.942924 [0.955643,0.782828]
precision
0.949242 [0.958516,0.832512]
precision
0.942286 [0.956005,0.769608]
precision
0.948855 [0.956386,0.854054]
precision
0.947524 [0.958081,0.814634]
precision
0.94708 [0.956531,0.828125]
precision
0.951723 [0.958776,0.862944]
precision
0.946056 [0.958038,0.795238]
precision
0.952416 [0.96015,0.855072]
precision
0.948151 [0.957137,0.835052]
precision
0.94738 [0.9575,0.82]
precision
0.944118 [0.957785,0.772093]
precision
0.942227 [0.953527,0.8]
precision
0.942558 [0.952775,0.813953]
precision
0.948026 [0.958481,0.816425]
precision
0.949375 [0.960452,0.809955]
precision
0.945056 [0.957048,0.794118]
precision
0.944133 [0.954725,0.810811]
precision
0.945394 [0.956866,0.800995]
precision
0.944925 [0.956277,0.80203]
precision
0.944581 [0.955311,0.809524]
precision
0.949578 [0.956983,0.856383]
precision
0.949308 [0.958325,0.835821]
precision
0.946756 [0.959214,0.789954]
precision
0.943157 [0.956033,0.781095]
precision
0.947182 [0.958264,0.807692]
precision
0.944719 [0.955888,0.804124]
precision
0.951723 [0.958776,0.862944]
precision
0.943921 [0.956821,0.781553]
precision
0.947516 [0.954432,0.860465]
precision
0.946855 [0.958446,0.800948]
precision
0.944241 [0.95664,0.788177]
precision
0.946688 [0.956712,0.820513]
precision
0.941501 [0.955218,0.768844]
precision
0.943081 [0.95317,0.816092]
precision
0.944906 [0.95532,0.81383]
precision
0.94544 [0.956676,0.80402]
precision
0.949678 [0.956215,0.867403]
precision
0.942362 [0.954102,0.794595]
precision
0.94819 [0.957908,0.825871]
precision
0.944915 [0.958194,0.777778]
precision
0.946419 [0.957664,0.804878]
precision
0.946718 [0.957673,0.808824]
precision
0.947333 [0.959039,0.8]
precision
0.946117 [0.956504,0.815385]
precision
0.949868 [0.958533,0.840796]
precision
0.945198 [0.955509,0.815789]
precision
0.949592 [0.959482,0.825472]
precision
0.950818 [0.960485,0.829493]
precision
0.941026 [0.954621,0.770408]
precision
0.94304 [0.955255,0.789744]
precision
0.948054 [0.958472,0.817308]
precision
0.943949 [0.954338,0.813187]
precision
0.94343 [0.956413,0.780488]
precision
0.94609 [0.956685,0.813131]
precision
0.945525 [0.956476,0.808081]
precision
0.943922 [0.955472,0.798969]
precision
0.945572 [0.957629,0.794258]
precision
0.944275 [0.956631,0.789216]
precision
0.944653 [0.956259,0.798995]
precision
0.948603 [0.958681,0.822115]
precision
0.939046 [0.952095,0.775281]
precision
0.952277 [0.960535,0.848341]
precision
0.948009 [0.958664,0.814286]
precision
0.944664 [0.958752,0.767857]
precision
0.946119 [0.957838,0.799043]
predictive_accuracy
0.951
predictive_accuracy
0.9516
predictive_accuracy
0.9526
predictive_accuracy
0.9526
predictive_accuracy
0.9532
predictive_accuracy
0.9498
predictive_accuracy
0.9518
predictive_accuracy
0.9518
predictive_accuracy
0.954
predictive_accuracy
0.9462
predictive_accuracy
0.9498
predictive_accuracy
0.9492
predictive_accuracy
0.9484
predictive_accuracy
0.949
predictive_accuracy
0.9494
predictive_accuracy
0.9522
predictive_accuracy
0.949
predictive_accuracy
0.9472
predictive_accuracy
0.9482
predictive_accuracy
0.9506
predictive_accuracy
0.9514
predictive_accuracy
0.9486
predictive_accuracy
0.9496
predictive_accuracy
0.9516
predictive_accuracy
0.9522
predictive_accuracy
0.951
predictive_accuracy
0.9508
predictive_accuracy
0.956
predictive_accuracy
0.9528
predictive_accuracy
0.9496
predictive_accuracy
0.9514
predictive_accuracy
0.9466
predictive_accuracy
0.95
predictive_accuracy
0.9524
predictive_accuracy
0.9488
predictive_accuracy
0.9534
predictive_accuracy
0.9484
predictive_accuracy
0.9526
predictive_accuracy
0.9522
predictive_accuracy
0.9516
predictive_accuracy
0.955
predictive_accuracy
0.9512
predictive_accuracy
0.9558
predictive_accuracy
0.9524
predictive_accuracy
0.952
predictive_accuracy
0.9498
predictive_accuracy
0.948
predictive_accuracy
0.948
predictive_accuracy
0.9526
predictive_accuracy
0.9538
predictive_accuracy
0.9504
predictive_accuracy
0.9494
predictive_accuracy
0.9506
predictive_accuracy
0.9502
predictive_accuracy
0.9498
predictive_accuracy
0.9532
predictive_accuracy
0.9534
predictive_accuracy
0.9518
predictive_accuracy
0.949
predictive_accuracy
0.952
predictive_accuracy
0.95
predictive_accuracy
0.955
predictive_accuracy
0.9496
predictive_accuracy
0.9512
predictive_accuracy
0.9518
predictive_accuracy
0.9498
predictive_accuracy
0.9514
predictive_accuracy
0.9478
predictive_accuracy
0.9484
predictive_accuracy
0.95
predictive_accuracy
0.9506
predictive_accuracy
0.953
predictive_accuracy
0.9482
predictive_accuracy
0.9526
predictive_accuracy
0.9504
predictive_accuracy
0.9514
predictive_accuracy
0.9516
predictive_accuracy
0.9522
predictive_accuracy
0.951
predictive_accuracy
0.9538
predictive_accuracy
0.9502
predictive_accuracy
0.9538
predictive_accuracy
0.9548
predictive_accuracy
0.9474
predictive_accuracy
0.9488
predictive_accuracy
0.9526
predictive_accuracy
0.9492
predictive_accuracy
0.9492
predictive_accuracy
0.951
predictive_accuracy
0.9506
predictive_accuracy
0.9494
predictive_accuracy
0.9508
predictive_accuracy
0.9498
predictive_accuracy
0.95
predictive_accuracy
0.953
predictive_accuracy
0.9458
predictive_accuracy
0.9558
predictive_accuracy
0.9526
predictive_accuracy
0.9502
predictive_accuracy
0.9512
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
prior_entropy
0.379425
recall
0.951 [0.990933,0.44837]
recall
0.9516 [0.992012,0.442935]
recall
0.9526 [0.991149,0.467391]
recall
0.9526 [0.992444,0.451087]
recall
0.9532 [0.993307,0.44837]
recall
0.9498 [0.99158,0.423913]
recall
0.9518 [0.990931,0.460705]
recall
0.9518 [0.993739,0.423913]
recall
0.954 [0.990933,0.48913]
recall
0.9462 [0.990717,0.38587]
recall
0.9498 [0.990501,0.4375]
recall
0.9492 [0.991149,0.421196]
recall
0.9484 [0.989853,0.42663]
recall
0.949 [0.988558,0.451087]
recall
0.9494 [0.991796,0.415761]
recall
0.9522 [0.993092,0.4375]
recall
0.949 [0.991147,0.420054]
recall
0.9472 [0.990069,0.407609]
recall
0.9482 [0.991149,0.407609]
recall
0.9506 [0.992012,0.429348]
recall
0.9514 [0.99158,0.445652]
recall
0.9486 [0.988558,0.445652]
recall
0.9496 [0.993092,0.402174]
recall
0.9516 [0.989853,0.470109]
recall
0.9522 [0.992876,0.440217]
recall
0.951 [0.990501,0.453804]
recall
0.9508 [0.990069,0.456522]
recall
0.956 [0.993092,0.48913]
recall
0.9528 [0.994603,0.42663]
recall
0.9496 [0.990717,0.432065]
recall
0.9514 [0.991149,0.451087]
recall
0.9466 [0.990069,0.399457]
recall
0.95 [0.993092,0.407609]
recall
0.9524 [0.992228,0.451087]
recall
0.9488 [0.990717,0.421196]
recall
0.9534 [0.99266,0.459239]
recall
0.9484 [0.989853,0.42663]
recall
0.9526 [0.994171,0.429348]
recall
0.9522 [0.991796,0.453804]
recall
0.9516 [0.992876,0.432065]
recall
0.955 [0.994171,0.461957]
recall
0.9512 [0.990717,0.453804]
recall
0.9558 [0.993523,0.480978]
recall
0.9524 [0.993092,0.440217]
recall
0.952 [0.992228,0.445652]
recall
0.9498 [0.989421,0.451087]
recall
0.948 [0.992228,0.391304]
recall
0.948 [0.993092,0.380435]
recall
0.9526 [0.991796,0.459239]
recall
0.9538 [0.990933,0.486413]
recall
0.9504 [0.990933,0.440217]
recall
0.9494 [0.992444,0.407609]
recall
0.9506 [0.991364,0.4375]
recall
0.9502 [0.99158,0.429348]
recall
0.9498 [0.992228,0.415761]
recall
0.9532 [0.994171,0.4375]
recall
0.9534 [0.992876,0.456522]
recall
0.9518 [0.990069,0.470109]
recall
0.949 [0.990501,0.42663]
recall
0.952 [0.991364,0.456522]
recall
0.95 [0.991796,0.423913]
recall
0.955 [0.994171,0.461957]
recall
0.9496 [0.990285,0.4375]
recall
0.9512 [0.994819,0.402174]
recall
0.9518 [0.990933,0.459239]
recall
0.9498 [0.990717,0.434783]
recall
0.9514 [0.992444,0.434783]
recall
0.9478 [0.990069,0.415761]
recall
0.9484 [0.993092,0.38587]
recall
0.95 [0.992444,0.415761]
recall
0.9506 [0.99158,0.434783]
recall
0.953 [0.994819,0.42663]
recall
0.9482 [0.991796,0.399457]
recall
0.9526 [0.992444,0.451087]
recall
0.9504 [0.989637,0.456522]
recall
0.9514 [0.991364,0.44837]
recall
0.9516 [0.99158,0.44837]
recall
0.9522 [0.990717,0.467391]
recall
0.951 [0.992228,0.432065]
recall
0.9538 [0.993092,0.459239]
recall
0.9502 [0.992442,0.420054]
recall
0.9538 [0.99201,0.474255]
recall
0.9548 [0.99201,0.487805]
recall
0.9474 [0.990283,0.409214]
recall
0.9488 [0.991147,0.417344]
recall
0.9526 [0.991794,0.460705]
recall
0.9492 [0.99266,0.402174]
recall
0.9492 [0.990283,0.433604]
recall
0.951 [0.99201,0.436314]
recall
0.9506 [0.991794,0.433604]
recall
0.9494 [0.991578,0.420054]
recall
0.9508 [0.990715,0.449864]
recall
0.9498 [0.990715,0.436314]
recall
0.95 [0.991363,0.430894]
recall
0.953 [0.99201,0.463415]
recall
0.9458 [0.991363,0.373984]
recall
0.9558 [0.993092,0.486413]
recall
0.9526 [0.991578,0.463415]
recall
0.9502 [0.988771,0.466125]
recall
0.9512 [0.990931,0.452575]
relative_absolute_error
0.67226
relative_absolute_error
0.674488
relative_absolute_error
0.659629
relative_absolute_error
0.662589
relative_absolute_error
0.671002
relative_absolute_error
0.671277
relative_absolute_error
0.668241
relative_absolute_error
0.67268
relative_absolute_error
0.662047
relative_absolute_error
0.697503
relative_absolute_error
0.674024
relative_absolute_error
0.670263
relative_absolute_error
0.682679
relative_absolute_error
0.684694
relative_absolute_error
0.676385
relative_absolute_error
0.669222
relative_absolute_error
0.677909
relative_absolute_error
0.685965
relative_absolute_error
0.677142
relative_absolute_error
0.670388
relative_absolute_error
0.66841
relative_absolute_error
0.680898
relative_absolute_error
0.671117
relative_absolute_error
0.670983
relative_absolute_error
0.662068
relative_absolute_error
0.664678
relative_absolute_error
0.66439
relative_absolute_error
0.653935
relative_absolute_error
0.664257
relative_absolute_error
0.674823
relative_absolute_error
0.6817
relative_absolute_error
0.689467
relative_absolute_error
0.677614
relative_absolute_error
0.670247
relative_absolute_error
0.676578
relative_absolute_error
0.66613
relative_absolute_error
0.688614
relative_absolute_error
0.662656
relative_absolute_error
0.662989
relative_absolute_error
0.66524
relative_absolute_error
0.647724
relative_absolute_error
0.669904
relative_absolute_error
0.638799
relative_absolute_error
0.657512
relative_absolute_error
0.66019
relative_absolute_error
0.677821
relative_absolute_error
0.679759
relative_absolute_error
0.68103
relative_absolute_error
0.663868
relative_absolute_error
0.658709
relative_absolute_error
0.672994
relative_absolute_error
0.668973
relative_absolute_error
0.669999
relative_absolute_error
0.678077
relative_absolute_error
0.679118
relative_absolute_error
0.660047
relative_absolute_error
0.660579
relative_absolute_error
0.666821
relative_absolute_error
0.683119
relative_absolute_error
0.659072
relative_absolute_error
0.675873
relative_absolute_error
0.653496
relative_absolute_error
0.679628
relative_absolute_error
0.658964
relative_absolute_error
0.673343
relative_absolute_error
0.678461
relative_absolute_error
0.670742
relative_absolute_error
0.679213
relative_absolute_error
0.682217
relative_absolute_error
0.677045
relative_absolute_error
0.668472
relative_absolute_error
0.666424
relative_absolute_error
0.682017
relative_absolute_error
0.665733
relative_absolute_error
0.673259
relative_absolute_error
0.669859
relative_absolute_error
0.66364
relative_absolute_error
0.665603
relative_absolute_error
0.663054
relative_absolute_error
0.656987
relative_absolute_error
0.667496
relative_absolute_error
0.663847
relative_absolute_error
0.659981
relative_absolute_error
0.685394
relative_absolute_error
0.67791
relative_absolute_error
0.660438
relative_absolute_error
0.682858
relative_absolute_error
0.685812
relative_absolute_error
0.679662
relative_absolute_error
0.674741
relative_absolute_error
0.677973
relative_absolute_error
0.671133
relative_absolute_error
0.685991
relative_absolute_error
0.677507
relative_absolute_error
0.658906
relative_absolute_error
0.692452
relative_absolute_error
0.651388
relative_absolute_error
0.653366
relative_absolute_error
0.670843
relative_absolute_error
0.677069
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261119
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_prior_squared_error
0.261445
root_mean_squared_error
0.209752
root_mean_squared_error
0.211422
root_mean_squared_error
0.207988
root_mean_squared_error
0.210613
root_mean_squared_error
0.208956
root_mean_squared_error
0.211948
root_mean_squared_error
0.210275
root_mean_squared_error
0.211479
root_mean_squared_error
0.205557
root_mean_squared_error
0.217914
root_mean_squared_error
0.211285
root_mean_squared_error
0.212625
root_mean_squared_error
0.216215
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usercpu_time_millis_training
29320
usercpu_time_millis_training
30570
usercpu_time_millis_training
31770