287832
2
Joaquin Vanschoren
4654
Supervised Classification
predictive_accuracy
1091
weka.BFTree(3)
1861
weka.classifiers.trees.BFTree -- -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1
P
POSTPRUNED
1091
M
2
1091
N
5
1091
C
true
1091
S
1
1091
weka
weka_3.7.12
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
969724
description
https://api.openml.org/data/download/969724/weka_generated_run2685707263169071096.xml
-1
969727
model_readable
https://api.openml.org/data/download/969727/WekaModel_weka.classifiers.trees.BFTree1625851195854686256.model
-1
969726
model_serialized
https://api.openml.org/data/download/969726/WekaSerialized_weka.classifiers.trees.BFTree8837726455742870135.model
-1
969725
predictions
https://api.openml.org/data/download/969725/weka_generated_predictions4181024483426835322.arff
area_under_roc_curve
0.761676 [0.750539,0.751829,0.781638]
average_cost
0
f_measure
0.600299 [0.588119,0.566929,0.643863]
kappa
0.399304
kb_relative_information_score
658.355766
mean_absolute_error
0.277343
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.602642 [0.571154,0.55814,0.675105]
predictive_accuracy
0.599338
prior_entropy
1.584538
recall
0.599338 [0.606122,0.576,0.615385]
relative_absolute_error
0.62421
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.460459
root_relative_squared_error
0.97693
scimark_benchmark
1350.073023 [813.5450543619434, 997.6468707916924, 542.2938452810938, 1108.900242569741, 3287.979102609317]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.671023 [0.690909,0.536364,0.766667]
area_under_roc_curve
0.672443 [0.727273,0.554545,0.725]
area_under_roc_curve
0.587216 [0.518182,0.690909,0.558333]
area_under_roc_curve
0.68892 [0.890909,0.463636,0.708333]
area_under_roc_curve
0.611364 [0.727273,0.609091,0.516667]
area_under_roc_curve
0.761648 [0.709091,0.718182,0.841667]
area_under_roc_curve
0.919034 [0.881818,0.909091,0.958333]
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
0.776667 [0.85,0.7,0.78]
area_under_roc_curve
0.775892 [0.806818,0.86,0.685185]
area_under_roc_curve
0.743502 [0.590909,0.78,0.814815]
area_under_roc_curve
0.591919 [0.511364,0.6,0.638889]
area_under_roc_curve
0.910842 [0.829545,0.98,0.907407]
area_under_roc_curve
0.653333 [0.7,0.66,0.6]
area_under_roc_curve
0.841279 [0.590909,0.94,0.925926]
area_under_roc_curve
0.39 [0.47,0.43,0.27]
area_under_roc_curve
0.66 [0.83,0.47,0.68]
area_under_roc_curve
0.904545 [0.954545,0.85,0.916667]
area_under_roc_curve
0.9 [0.92,0.8,0.98]
area_under_roc_curve
0.7 [0.59,0.72,0.79]
area_under_roc_curve
0.773333 [0.82,0.81,0.69]
area_under_roc_curve
0.656667 [0.81,0.44,0.72]
area_under_roc_curve
0.64 [0.67,0.46,0.79]
area_under_roc_curve
0.716667 [0.61,0.85,0.69]
area_under_roc_curve
0.633333 [0.74,0.66,0.5]
area_under_roc_curve
0.846667 [0.77,0.89,0.88]
area_under_roc_curve
0.71 [0.7,0.67,0.76]
area_under_roc_curve
0.863333 [0.81,0.82,0.96]
area_under_roc_curve
0.813333 [0.96,0.86,0.62]
area_under_roc_curve
0.756667 [0.69,0.88,0.7]
area_under_roc_curve
0.98 [0.97,0.97,1]
area_under_roc_curve
0.776667 [0.74,0.65,0.94]
area_under_roc_curve
0.89 [0.88,0.89,0.9]
area_under_roc_curve
0.86 [0.87,0.9,0.81]
area_under_roc_curve
0.513333 [0.53,0.48,0.53]
area_under_roc_curve
0.946667 [0.92,1,0.92]
area_under_roc_curve
0.733333 [0.79,0.55,0.86]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.696667 [0.71,0.8,0.58]
area_under_roc_curve
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area_under_roc_curve
0.796667 [0.86,0.72,0.81]
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
0.686667 [0.7,0.46,0.9]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.756667 [0.91,0.84,0.52]
area_under_roc_curve
0.913333 [0.94,0.8,1]
area_under_roc_curve
0.806667 [0.82,0.65,0.95]
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0.4 [0.26,0.38,0.56]
area_under_roc_curve
0.763333 [0.81,0.84,0.64]
area_under_roc_curve
0.87 [0.83,0.91,0.87]
area_under_roc_curve
0.936667 [0.99,0.93,0.89]
area_under_roc_curve
0.833333 [0.79,0.77,0.94]
area_under_roc_curve
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area_under_roc_curve
0.83 [0.62,0.91,0.96]
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
0.58 [0.56,0.47,0.71]
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
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area_under_roc_curve
0.8 [0.94,0.66,0.8]
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area_under_roc_curve
0.91 [1,0.89,0.84]
area_under_roc_curve
0.786667 [0.87,0.76,0.73]
area_under_roc_curve
0.65 [0.71,0.6,0.64]
area_under_roc_curve
0.826667 [0.71,0.84,0.93]
area_under_roc_curve
0.75 [0.66,0.94,0.65]
area_under_roc_curve
0.713333 [0.8,0.48,0.86]
area_under_roc_curve
0.86 [0.9,0.8,0.88]
area_under_roc_curve
0.769529 [0.920455,0.55,0.851852]
area_under_roc_curve
0.616667 [0.6,0.76,0.49]
area_under_roc_curve
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area_under_roc_curve
0.593333 [0.53,0.54,0.71]
area_under_roc_curve
0.71 [0.82,0.69,0.62]
area_under_roc_curve
0.836599 [0.863636,0.93,0.740741]
area_under_roc_curve
0.846667 [0.84,0.7,1]
area_under_roc_curve
0.699933 [0.738636,0.62,0.740741]
area_under_roc_curve
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area_under_roc_curve
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f_measure
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f_measure
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kb_relative_information_score
6.881998
kb_relative_information_score
7.896887
kb_relative_information_score
5.767126
kb_relative_information_score
2.785475
kb_relative_information_score
11.883708
kb_relative_information_score
3.01838
kb_relative_information_score
7.991661
kb_relative_information_score
0.033813
kb_relative_information_score
5.013104
kb_relative_information_score
12.227309
kb_relative_information_score
10.907945
kb_relative_information_score
5.183518
kb_relative_information_score
6.837205
kb_relative_information_score
4.412971
kb_relative_information_score
2.807709
kb_relative_information_score
6.348873
kb_relative_information_score
2.309581
kb_relative_information_score
8.585459
kb_relative_information_score
4.786963
kb_relative_information_score
10.088579
kb_relative_information_score
8.46236
kb_relative_information_score
4.918497
kb_relative_information_score
12.590919
kb_relative_information_score
7.821875
kb_relative_information_score
8.121723
kb_relative_information_score
8.256788
kb_relative_information_score
0.407659
kb_relative_information_score
10.952296
kb_relative_information_score
3.845516
kb_relative_information_score
3.483611
kb_relative_information_score
7.958725
kb_relative_information_score
4.875823
kb_relative_information_score
4.11313
kb_relative_information_score
8.111522
kb_relative_information_score
3.159471
kb_relative_information_score
6.893818
kb_relative_information_score
5.767198
kb_relative_information_score
5.67737
kb_relative_information_score
3.365806
kb_relative_information_score
4.998064
kb_relative_information_score
12.280362
kb_relative_information_score
4.457874
kb_relative_information_score
7.789945
kb_relative_information_score
12.21877
kb_relative_information_score
5.905526
kb_relative_information_score
-0.269757
kb_relative_information_score
6.772053
kb_relative_information_score
8.960945
kb_relative_information_score
12.203655
kb_relative_information_score
8.29278
kb_relative_information_score
4.047567
kb_relative_information_score
8.651277
kb_relative_information_score
9.131643
kb_relative_information_score
5.766023
kb_relative_information_score
8.860327
kb_relative_information_score
10.919864
kb_relative_information_score
6.594592
kb_relative_information_score
11.156913
kb_relative_information_score
8.161814
kb_relative_information_score
5.634896
kb_relative_information_score
2.753795
kb_relative_information_score
1.898999
kb_relative_information_score
11.649263
kb_relative_information_score
8.222763
kb_relative_information_score
3.698896
kb_relative_information_score
5.080658
kb_relative_information_score
6.611022
kb_relative_information_score
3.299287
kb_relative_information_score
3.473456
kb_relative_information_score
3.272444
kb_relative_information_score
6.771905
kb_relative_information_score
6.368774
kb_relative_information_score
12.244727
kb_relative_information_score
11.411931
kb_relative_information_score
6.08552
kb_relative_information_score
5.583161
kb_relative_information_score
9.014905
kb_relative_information_score
7.69838
kb_relative_information_score
5.386184
kb_relative_information_score
7.672884
kb_relative_information_score
5.949236
kb_relative_information_score
3.147661
kb_relative_information_score
8.59704
kb_relative_information_score
2.435178
kb_relative_information_score
5.496875
kb_relative_information_score
10.23666
kb_relative_information_score
8.251494
kb_relative_information_score
6.075878
kb_relative_information_score
4.502998
kb_relative_information_score
9.411898
mean_absolute_error
0.377696
mean_absolute_error
0.298086
mean_absolute_error
0.388573
mean_absolute_error
0.324701
mean_absolute_error
0.397113
mean_absolute_error
0.298458
mean_absolute_error
0.223405
mean_absolute_error
0.242181
mean_absolute_error
0.251736
mean_absolute_error
0.280655
mean_absolute_error
0.270626
mean_absolute_error
0.233504
mean_absolute_error
0.306477
mean_absolute_error
0.392381
mean_absolute_error
0.103838
mean_absolute_error
0.384587
mean_absolute_error
0.235159
mean_absolute_error
0.485597
mean_absolute_error
0.327668
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.326377
mean_absolute_error
0.273311
mean_absolute_error
0.353571
mean_absolute_error
0.391574
mean_absolute_error
0.285315
mean_absolute_error
0.401584
mean_absolute_error
0.216115
mean_absolute_error
0.335846
mean_absolute_error
0.166561
mean_absolute_error
0.219753
mean_absolute_error
0.332121
mean_absolute_error
0.076094
mean_absolute_error
0.237037
mean_absolute_error
0.224501
mean_absolute_error
0.225166
mean_absolute_error
0.468028
mean_absolute_error
0.13037
mean_absolute_error
0.359493
mean_absolute_error
0.380112
mean_absolute_error
0.243499
mean_absolute_error
0.329177
mean_absolute_error
0.353425
mean_absolute_error
0.224
mean_absolute_error
0.383333
mean_absolute_error
0.274615
mean_absolute_error
0.295556
mean_absolute_error
0.306727
mean_absolute_error
0.381806
mean_absolute_error
0.324741
mean_absolute_error
0.088889
mean_absolute_error
0.339594
mean_absolute_error
0.248148
mean_absolute_error
0.091005
mean_absolute_error
0.295932
mean_absolute_error
0.495833
mean_absolute_error
0.271483
mean_absolute_error
0.194444
mean_absolute_error
0.092064
mean_absolute_error
0.227757
mean_absolute_error
0.353875
mean_absolute_error
0.214815
mean_absolute_error
0.196825
mean_absolute_error
0.310288
mean_absolute_error
0.207303
mean_absolute_error
0.138447
mean_absolute_error
0.275062
mean_absolute_error
0.132698
mean_absolute_error
0.222222
mean_absolute_error
0.3
mean_absolute_error
0.395111
mean_absolute_error
0.419048
mean_absolute_error
0.111111
mean_absolute_error
0.226138
mean_absolute_error
0.364526
mean_absolute_error
0.324804
mean_absolute_error
0.281449
mean_absolute_error
0.381728
mean_absolute_error
0.374374
mean_absolute_error
0.383086
mean_absolute_error
0.266487
mean_absolute_error
0.287881
mean_absolute_error
0.088889
mean_absolute_error
0.122705
mean_absolute_error
0.294916
mean_absolute_error
0.316068
mean_absolute_error
0.199993
mean_absolute_error
0.242702
mean_absolute_error
0.315635
mean_absolute_error
0.228836
mean_absolute_error
0.296296
mean_absolute_error
0.388136
mean_absolute_error
0.216015
mean_absolute_error
0.400943
mean_absolute_error
0.321374
mean_absolute_error
0.161842
mean_absolute_error
0.215873
mean_absolute_error
0.296932
mean_absolute_error
0.347223
mean_absolute_error
0.182422
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
precision
0.363889 [0.444444,0,0.6]
precision
0.5375 [0.5,0.5,0.6]
precision
0.395833 [0.333333,0.333333,0.5]
precision
0.421875 [0.6,0,0.625]
precision
0.382812 [0.375,0.25,0.5]
precision
0.617188 [0.375,0.4,1]
precision
0.739583 [0.666667,0.5,1]
precision
0.6875 [0.6,0.8,0.666667]
precision
0.697917 [0.666667,0.666667,0.75]
precision
0.739583 [0.5,0.666667,1]
precision
0.690476 [0.571429,0.5,1]
precision
0.662222 [0.75,0.666667,0.6]
precision
0.733333 [0.375,1,0.75]
precision
0.39 [0.4,0.25,0.5]
precision
0.877778 [1,0.833333,0.833333]
precision
0.402778 [0.333333,0.375,0.5]
precision
0.661667 [0.5,0.625,0.8]
precision
0.185185 [0.333333,0.222222,0]
precision
0.575 [0.625,0.5,0.6]
precision
0.88 [0.8,0.8,1]
precision
0.875 [0.625,1,1]
precision
0.533333 [0.5,0.5,0.6]
precision
0.785185 [0.8,0.555556,1]
precision
0.434921 [0.571429,0.333333,0.4]
precision
0.275 [0,0.2,0.625]
precision
0.690476 [1,0.571429,0.5]
precision
0.327778 [0.333333,0.4,0.25]
precision
0.793651 [1,0.666667,0.714286]
precision
0.555556 [0.5,0.5,0.666667]
precision
0.822222 [0.8,0.666667,1]
precision
0.722222 [0.833333,0.666667,0.666667]
precision
0.565079 [0.428571,0.666667,0.6]
precision
0.866667 [0.8,0.8,1]
precision
0.722222 [0.5,0.666667,1]
precision
0.72381 [0.6,0.571429,1]
precision
0.672222 [0.6,0.75,0.666667]
precision
0.228571 [0,0.285714,0.4]
precision
0.805556 [0.75,1,0.666667]
precision
0.511905 [0.5,0.285714,0.75]
precision
0.555556 [0.666667,0.666667,0.333333]
precision
0.777778 [0.666667,1,0.666667]
precision
0.444444 [0.5,0.5,0.333333]
precision
0.591667 [0.375,0.4,1]
precision
0.679365 [0.8,0.666667,0.571429]
precision
0.392857 [0.25,0.428571,0.5]
precision
0.722222 [0.666667,0.5,1]
precision
0.52381 [0.5,0.5,0.571429]
precision
0.75 [1,0.75,0.5]
precision
0.561111 [0.6,0.333333,0.75]
precision
0.542857 [0.428571,0.2,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.59596 [0.454545,0.333333,1]
precision
0.809524 [0.714286,0.714286,1]
precision
0.888889 [0.833333,1,0.833333]
precision
0.588889 [0.6,0.5,0.666667]
precision
0.336508 [0.142857,0.2,0.666667]
precision
0.6 [0.8,0.5,0.5]
precision
0.679365 [0.571429,0.666667,0.8]
precision
0.904762 [1,0.714286,1]
precision
0.726984 [0.666667,0.8,0.714286]
precision
0.466667 [0.5,0.4,0.5]
precision
0.683333 [0.5,0.75,0.8]
precision
0.738095 [0.714286,0.75,0.75]
precision
0.559524 [0.428571,0.5,0.75]
precision
0.746032 [0.666667,0.571429,1]
precision
0.851852 [1,0.555556,1]
precision
0.642857 [0.428571,0.75,0.75]
precision
0.875 [0.625,1,1]
precision
0.666667 [0.6,0.8,0.6]
precision
0.559524 [0.5,0.428571,0.75]
precision
0.428571 [0.25,0.285714,0.75]
precision
0.344444 [0.333333,0.2,0.5]
precision
0.904762 [0.714286,1,1]
precision
0.791667 [1,0.625,0.75]
precision
0.466667 [0.2,0.6,0.6]
precision
0.55 [0.4,0.75,0.5]
precision
0.616667 [0.5,0.6,0.75]
precision
0.420635 [0.333333,0.428571,0.5]
precision
0.466667 [0.5,0.4,0.5]
precision
0.511905 [0.285714,0.75,0.5]
precision
0.579365 [0.5,0.571429,0.666667]
precision
0.660317 [0.714286,0.666667,0.6]
precision
0.904762 [1,1,0.714286]
precision
0.904762 [1,0.714286,1]
precision
0.722222 [0.666667,0.5,1]
precision
0.611111 [0.666667,0.5,0.666667]
precision
0.793651 [1,0.714286,0.666667]
precision
0.666667 [0.6,0.8,0.6]
precision
0.52381 [0.571429,0.25,0.75]
precision
0.633333 [1,0.4,0.5]
precision
0.8 [1,1,0.5]
precision
0.425 [0.375,0.5,0.4]
precision
0.727778 [0.833333,0.6,0.75]
precision
0.309524 [0.25,0.25,0.428571]
precision
0.559524 [0.75,0.428571,0.5]
precision
0.844444 [0.666667,0.8,1]
precision
0.644444 [0.6,0.5,0.833333]
precision
0.613333 [0.6,0.4,0.8]
precision
0.655556 [0.333333,0.5,1]
precision
0.77381 [1,0.75,0.571429]
predictive_accuracy
0.4375
predictive_accuracy
0.5625
predictive_accuracy
0.375
predictive_accuracy
0.5
predictive_accuracy
0.375
predictive_accuracy
0.5
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.625
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.866667
predictive_accuracy
0.4
predictive_accuracy
0.666667
predictive_accuracy
0.266667
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.533333
predictive_accuracy
0.666667
predictive_accuracy
0.466667
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.333333
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.266667
predictive_accuracy
0.8
predictive_accuracy
0.466667
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.466667
predictive_accuracy
0.666667
predictive_accuracy
0.4
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.866667
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.266667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.4
predictive_accuracy
0.333333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.466667
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.733333
predictive_accuracy
0.333333
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.733333
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
recall
0.4375 [0.8,0,0.5]
recall
0.5625 [0.4,0.2,1]
recall
0.375 [0.4,0.4,0.333333]
recall
0.5 [0.6,0,0.833333]
recall
0.375 [0.6,0.2,0.333333]
recall
0.5 [0.6,0.4,0.5]
recall
0.6875 [0.4,0.8,0.833333]
recall
0.6875 [0.6,0.8,0.666667]
recall
0.6875 [0.8,0.8,0.5]
recall
0.625 [0.8,0.8,0.333333]
recall
0.6 [0.8,0.6,0.4]
recall
0.666667 [0.75,0.8,0.5]
recall
0.6 [0.75,0.6,0.5]
recall
0.4 [0.5,0.2,0.5]
recall
0.866667 [0.75,1,0.833333]
recall
0.4 [0.2,0.6,0.4]
recall
0.666667 [0.25,1,0.666667]
recall
0.266667 [0.4,0.4,0]
recall
0.6 [1,0.2,0.6]
recall
0.866667 [1,0.8,0.833333]
recall
0.8 [1,0.6,0.8]
recall
0.533333 [0.4,0.6,0.6]
recall
0.666667 [0.8,1,0.2]
recall
0.466667 [0.8,0.2,0.4]
recall
0.4 [0,0.2,1]
recall
0.6 [0.4,0.8,0.6]
recall
0.333333 [0.4,0.4,0.2]
recall
0.733333 [0.4,0.8,1]
recall
0.533333 [0.8,0.4,0.4]
recall
0.8 [0.8,0.8,0.8]
recall
0.733333 [1,0.8,0.4]
recall
0.533333 [0.6,0.4,0.6]
recall
0.866667 [0.8,0.8,1]
recall
0.666667 [0.8,0.4,0.8]
recall
0.666667 [0.6,0.8,0.6]
recall
0.666667 [0.6,0.6,0.8]
recall
0.266667 [0,0.4,0.4]
recall
0.8 [0.6,1,0.8]
recall
0.466667 [0.4,0.4,0.6]
recall
0.466667 [0.4,0.4,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.466667 [0.4,0.8,0.2]
recall
0.466667 [0.6,0.4,0.4]
recall
0.666667 [0.8,0.4,0.8]
recall
0.4 [0.2,0.6,0.4]
recall
0.666667 [0.8,0.6,0.6]
recall
0.533333 [0.4,0.4,0.8]
recall
0.6 [0.2,0.6,1]
recall
0.533333 [0.6,0.4,0.6]
recall
0.466667 [0.6,0.2,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.466667 [1,0.2,0.2]
recall
0.733333 [1,1,0.2]
recall
0.866667 [1,0.6,1]
recall
0.6 [0.6,0.4,0.8]
recall
0.266667 [0.2,0.2,0.4]
recall
0.6 [0.8,0.4,0.6]
recall
0.666667 [0.8,0.4,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.733333 [0.4,0.8,1]
recall
0.466667 [0.2,0.4,0.8]
recall
0.666667 [0.6,0.6,0.8]
recall
0.733333 [1,0.6,0.6]
recall
0.533333 [0.6,0.4,0.6]
recall
0.733333 [0.4,0.8,1]
recall
0.733333 [0.6,1,0.6]
recall
0.6 [0.6,0.6,0.6]
recall
0.8 [1,0.8,0.6]
recall
0.666667 [0.6,0.8,0.6]
recall
0.533333 [0.4,0.6,0.6]
recall
0.4 [0.2,0.4,0.6]
recall
0.333333 [0.4,0.2,0.4]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [0.6,1,0.6]
recall
0.466667 [0.2,0.6,0.6]
recall
0.533333 [0.4,0.6,0.6]
recall
0.6 [0.6,0.6,0.6]
recall
0.4 [0.4,0.6,0.2]
recall
0.466667 [0.2,0.4,0.8]
recall
0.466667 [0.4,0.6,0.4]
recall
0.6 [0.2,0.8,0.8]
recall
0.666667 [1,0.4,0.6]
recall
0.866667 [0.6,1,1]
recall
0.866667 [1,1,0.6]
recall
0.6 [0.8,0.8,0.2]
recall
0.6 [0.8,0.6,0.4]
recall
0.733333 [0.4,1,0.8]
recall
0.666667 [0.6,0.8,0.6]
recall
0.533333 [0.8,0.2,0.6]
recall
0.6 [0.8,0.4,0.6]
recall
0.6 [0.5,0.2,1]
recall
0.4 [0.6,0.2,0.4]
recall
0.733333 [1,0.6,0.6]
recall
0.333333 [0.2,0.2,0.6]
recall
0.533333 [0.6,0.6,0.4]
recall
0.8 [1,0.8,0.666667]
recall
0.666667 [0.6,0.4,1]
recall
0.6 [0.75,0.4,0.666667]
recall
0.533333 [0.25,1,0.333333]
recall
0.733333 [0.8,0.6,0.8]
relative_absolute_error
0.850678
relative_absolute_error
0.671374
relative_absolute_error
0.875178
relative_absolute_error
0.731319
relative_absolute_error
0.894412
relative_absolute_error
0.672212
relative_absolute_error
0.503173
relative_absolute_error
0.54546
relative_absolute_error
0.566981
relative_absolute_error
0.632115
relative_absolute_error
0.608908
relative_absolute_error
0.52641
relative_absolute_error
0.69092
relative_absolute_error
0.88458
relative_absolute_error
0.234092
relative_absolute_error
0.865321
relative_absolute_error
0.530141
relative_absolute_error
1.092593
relative_absolute_error
0.737253
relative_absolute_error
0.20039
relative_absolute_error
0.3
relative_absolute_error
0.734349
relative_absolute_error
0.614951
relative_absolute_error
0.795536
relative_absolute_error
0.881041
relative_absolute_error
0.641958
relative_absolute_error
0.903563
relative_absolute_error
0.486258
relative_absolute_error
0.755653
relative_absolute_error
0.374762
relative_absolute_error
0.494444
relative_absolute_error
0.747273
relative_absolute_error
0.171212
relative_absolute_error
0.533333
relative_absolute_error
0.505128
relative_absolute_error
0.506623
relative_absolute_error
1.053064
relative_absolute_error
0.293333
relative_absolute_error
0.808858
relative_absolute_error
0.855251
relative_absolute_error
0.547874
relative_absolute_error
0.740648
relative_absolute_error
0.795206
relative_absolute_error
0.504
relative_absolute_error
0.8625
relative_absolute_error
0.617884
relative_absolute_error
0.665
relative_absolute_error
0.690136
relative_absolute_error
0.859064
relative_absolute_error
0.730667
relative_absolute_error
0.2
relative_absolute_error
0.764087
relative_absolute_error
0.558333
relative_absolute_error
0.204762
relative_absolute_error
0.665846
relative_absolute_error
1.115625
relative_absolute_error
0.610836
relative_absolute_error
0.4375
relative_absolute_error
0.207143
relative_absolute_error
0.512454
relative_absolute_error
0.796218
relative_absolute_error
0.483333
relative_absolute_error
0.442857
relative_absolute_error
0.698148
relative_absolute_error
0.466431
relative_absolute_error
0.311507
relative_absolute_error
0.618889
relative_absolute_error
0.298571
relative_absolute_error
0.5
relative_absolute_error
0.675
relative_absolute_error
0.889
relative_absolute_error
0.942857
relative_absolute_error
0.25
relative_absolute_error
0.50881
relative_absolute_error
0.820184
relative_absolute_error
0.730808
relative_absolute_error
0.633261
relative_absolute_error
0.858889
relative_absolute_error
0.842341
relative_absolute_error
0.861944
relative_absolute_error
0.599596
relative_absolute_error
0.647731
relative_absolute_error
0.2
relative_absolute_error
0.276087
relative_absolute_error
0.663562
relative_absolute_error
0.711152
relative_absolute_error
0.449983
relative_absolute_error
0.546079
relative_absolute_error
0.710178
relative_absolute_error
0.514881
relative_absolute_error
0.667968
relative_absolute_error
0.873306
relative_absolute_error
0.486035
relative_absolute_error
0.902121
relative_absolute_error
0.723091
relative_absolute_error
0.364856
relative_absolute_error
0.485714
relative_absolute_error
0.669402
relative_absolute_error
0.782776
relative_absolute_error
0.410449
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
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usercpu_time_millis_training
20
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
20