275247
2
Joaquin Vanschoren
1915
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
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
922398
description
https://api.openml.org/data/download/922398/weka_generated_run7395969688448098102.xml
-1
922401
model_readable
https://api.openml.org/data/download/922401/WekaModel_weka.classifiers.meta.FilteredClassifier2961955825173955623.model
-1
922400
model_serialized
https://api.openml.org/data/download/922400/WekaSerialized_weka.classifiers.meta.FilteredClassifier99752538507756777.model
-1
922399
predictions
https://api.openml.org/data/download/922399/weka_generated_predictions5428293645568575370.arff
area_under_roc_curve
0.977064 [0.983361,0.949736,0.980655,0.976901,0.991563,0.974925]
average_cost
0
f_measure
0.937459 [0.957646,0.876113,0.950843,0.915888,0.975332,0.917706]
kappa
0.92167
kb_relative_information_score
3361.335664
mean_absolute_error
0.025738
mean_prior_absolute_error
0.266447
number_of_instances
3660 [1120,610,720,490,520,200]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.937703 [0.956367,0.8656,0.961648,0.932347,0.962547,0.915423]
predictive_accuracy
0.937432
prior_entropy
2.437791
recall
0.937432 [0.958929,0.886885,0.940278,0.9,0.988462,0.92]
relative_absolute_error
0.096595
root_mean_prior_squared_error
0.364873
root_mean_squared_error
0.13567
root_relative_squared_error
0.371827
scimark_benchmark
1347.387973 [811.2746802934033, 997.9052375505228, 523.5211540262572, 1079.225957073861, 3325.012838363276]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.962913 [0.954545,0.97043,0.983333,0.884375,1,1]
area_under_roc_curve
0.967708 [0.958333,1,0.911905,1,0.984375,1]
area_under_roc_curve
0.993148 [1,0.981183,1,0.971875,1,1]
area_under_roc_curve
0.984375 [1,1,0.928571,1,0.984375,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.962511 [1,0.935484,1,1,1,0.5]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.987411 [0.98,0.962366,1,1,1,1]
area_under_roc_curve
0.954052 [0.93,0.967742,1,0.978125,0.9,0.971429]
area_under_roc_curve
0.984727 [0.958333,0.997312,0.995238,0.996875,1,1]
area_under_roc_curve
0.980115 [1,0.895161,1,0.984375,1,0.985714]
area_under_roc_curve
0.959073 [1,0.784946,0.988095,0.971875,1,1]
area_under_roc_curve
0.966231 [0.954545,0.913978,0.966667,1,1,1]
area_under_roc_curve
0.993063 [0.988333,0.983333,1,1,1,1]
area_under_roc_curve
0.999068 [1,1,0.99569,1,1,1]
area_under_roc_curve
0.966925 [1,0.973118,1,0.8875,0.9,1]
area_under_roc_curve
0.968696 [1,0.905914,1,0.98125,0.9,1]
area_under_roc_curve
0.982999 [1,0.978495,0.928571,1,1,1]
area_under_roc_curve
0.983333 [0.958333,1,0.983333,1,1,1]
area_under_roc_curve
0.994006 [1,0.983871,1,0.975,1,1]
area_under_roc_curve
0.973263 [0.961538,0.951613,0.965517,1,1,1]
area_under_roc_curve
0.998284 [1,0.994624,1,0.99375,1,1]
area_under_roc_curve
0.878689 [0.94,0.553763,0.928571,0.903125,0.984375,0.985714]
area_under_roc_curve
0.942391 [0.951049,0.905914,1,1,0.9,0.735714]
area_under_roc_curve
0.949624 [1,0.892473,0.928571,0.85625,1,1]
area_under_roc_curve
0.932982 [0.912587,0.935484,1,0.9125,0.967742,0.75]
area_under_roc_curve
0.993992 [1,0.981183,1,0.978125,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.999142 [1,0.997312,1,0.996875,1,1]
area_under_roc_curve
0.983435 [1,0.981183,0.9375,1,1,1]
area_under_roc_curve
0.93842 [0.94,0.938172,0.928571,0.8625,1,1]
area_under_roc_curve
0.977634 [0.979021,0.983871,1,1,1,0.75]
area_under_roc_curve
0.974141 [0.928333,0.983871,1,1,1,1]
area_under_roc_curve
0.924585 [0.844406,0.967742,0.982759,0.85625,1,0.985714]
area_under_roc_curve
0.9861 [1,1,1,1,0.916667,0.992857]
area_under_roc_curve
0.949266 [0.993007,0.817204,0.928571,0.984375,0.983871,0.985714]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.991204 [0.996503,0.986559,0.99569,0.965625,1,1]
area_under_roc_curve
0.993134 [1,0.978495,1,0.975,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.984375 [1,1,0.928571,1,0.984375,1]
area_under_roc_curve
0.948965 [0.961538,0.852151,0.928571,0.984375,1,1]
area_under_roc_curve
0.982659 [1,0.91129,1,0.978125,1,1]
area_under_roc_curve
0.968556 [1,0.983871,0.847619,1,1,1]
area_under_roc_curve
0.963696 [0.953333,0.989247,1,0.9875,0.96875,0.75]
area_under_roc_curve
0.965897 [0.96,0.961905,0.928571,0.996212,1,1]
area_under_roc_curve
0.953425 [1,0.892473,0.875,0.984375,1,1]
area_under_roc_curve
0.968153 [0.949301,0.994624,1,0.99375,0.916667,0.971429]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.967474 [1,0.817204,1,0.984375,1,0.985714]
area_under_roc_curve
0.975606 [0.93007,0.983333,0.997619,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.980942 [1,0.905914,1,0.971875,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.986486 [0.958333,1,1,1,1,1]
area_under_roc_curve
0.985089 [0.954545,1,0.993534,1,1,1]
area_under_roc_curve
0.968713 [1,0.91129,0.928571,1,0.983871,0.985714]
area_under_roc_curve
0.981661 [1,0.973118,0.935345,1,1,1]
area_under_roc_curve
0.948027 [0.980769,0.840476,0.997619,0.984375,1,0.75]
area_under_roc_curve
0.98469 [1,0.913889,0.995074,1,1,1]
area_under_roc_curve
0.948551 [0.909091,0.930556,1,0.912903,1,1]
area_under_roc_curve
0.986111 [1,1,1,1,1,0.75]
area_under_roc_curve
0.979689 [1,0.972222,1,0.887097,1,1]
area_under_roc_curve
0.976398 [0.996364,0.983333,0.928571,0.974194,0.983871,1]
area_under_roc_curve
0.98469 [1,0.913889,0.995074,1,1,1]
area_under_roc_curve
0.987778 [0.978182,0.966667,1,1,1,1]
area_under_roc_curve
0.948276 [0.863636,0.948276,1,1,1,1]
area_under_roc_curve
0.981192 [1,0.902778,1,0.976562,1,1]
area_under_roc_curve
0.983871 [1,1,0.928571,1,0.983871,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.949211 [1,0.8,0.995074,0.887097,1,0.985294]
area_under_roc_curve
0.968333 [0.96,0.966667,0.928571,1,1,1]
area_under_roc_curve
0.977016 [1,0.975,0.928571,0.964516,1,1]
area_under_roc_curve
0.954318 [1,0.75,0.995074,0.983871,1,0.985294]
area_under_roc_curve
0.993623 [1,0.980556,1,0.977419,1,1]
area_under_roc_curve
0.991801 [1,0.975,1,0.970968,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.968596 [1,0.822222,0.995074,1,1,0.985294]
area_under_roc_curve
0.982978 [0.947273,0.997222,1,0.996774,1,1]
area_under_roc_curve
0.960827 [1,0.880556,0.928571,0.96129,1,1]
area_under_roc_curve
0.985153 [0.954545,1,0.995074,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.932936 [0.912727,0.819444,1,0.925806,1,1]
area_under_roc_curve
0.95436 [0.94,0.958333,0.948276,0.925806,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.970926 [1,0.833333,0.997537,1,1,0.985294]
area_under_roc_curve
0.969024 [1,0.833333,0.995074,0.983871,1,1]
area_under_roc_curve
0.966693 [0.954545,0.905556,0.992611,0.983871,1,1]
area_under_roc_curve
0.961434 [0.96,0.933333,1,0.890323,1,1]
area_under_roc_curve
0.984444 [0.949091,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.983871 [1,0.916667,1,0.983871,1,1]
area_under_roc_curve
0.977963 [0.976364,0.911111,1,1,1,1]
area_under_roc_curve
0.957377 [0.910909,0.948276,0.992611,0.964844,1,1]
area_under_roc_curve
0.982759 [0.954545,1,0.982759,1,1,1]
area_under_roc_curve
0.964964 [0.945455,1,1,1,0.967742,0.75]
area_under_roc_curve
0.964843 [0.954545,0.972222,0.995074,0.887097,1,1]
area_under_roc_curve
0.983871 [1,1,0.928571,1,0.983871,1]
area_under_roc_curve
0.982759 [0.954545,1,0.982759,1,1,1]
average_cost
0
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0
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0
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0
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0
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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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0.971747 [1,0.923077,1,0.888889,1,1]
f_measure
0.944444 [1,0.833333,1,0.8,1,1]
f_measure
0.972222 [1,0.923077,0.923077,1,1,1]
f_measure
0.915039 [1,0.727273,0.933333,0.888889,1,0.8]
f_measure
0.945046 [0.952381,0.909091,1,0.909091,0.909091,1]
f_measure
0.895096 [0.952381,0.714286,0.923077,0.8,1,1]
f_measure
0.972487 [0.952381,1,0.933333,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.854379 [0.869565,0.727273,0.933333,0.75,0.909091,1]
f_measure
0.917792 [0.88,0.909091,0.923077,0.888889,1,1]
f_measure
0.972222 [1,0.923077,0.923077,1,1,1]
f_measure
0.942593 [1,0.8,0.933333,1,1,0.8]
f_measure
0.941077 [1,0.8,0.933333,0.909091,1,1]
f_measure
0.944709 [0.952381,0.909091,0.933333,0.909091,1,1]
f_measure
0.885876 [0.88,0.833333,0.923077,0.75,1,1]
f_measure
0.972629 [0.952381,1,1,1,0.923077,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.94398 [0.956522,0.909091,0.923077,0.909091,1,1]
f_measure
0.917888 [0.857143,0.769231,1,1,1,1]
f_measure
0.888605 [0.842105,0.823529,0.933333,0.857143,1,1]
f_measure
0.972487 [0.952381,1,0.933333,1,1,1]
f_measure
0.91553 [0.952381,0.923077,1,0.888889,0.833333,0.666667]
f_measure
0.913955 [0.952381,0.857143,0.933333,0.75,1,1]
f_measure
0.972416 [1,1,0.923077,1,0.909091,1]
f_measure
0.944234 [0.952381,0.923077,0.933333,0.888889,1,1]
kappa
0.899274
kappa
0.932296
kappa
0.932296
kappa
0.965993
kappa
0.966148
kappa
0.93186
kappa
1
kappa
0.965741
kappa
0.865942
kappa
0.932234
kappa
0.932666
kappa
0.829493
kappa
0.898815
kappa
0.965961
kappa
0.966086
kappa
0.931923
kappa
0.931481
kappa
0.965961
kappa
0.93211
kappa
0.93186
kappa
0.862709
kappa
0.96621
kappa
0.724395
kappa
0.863971
kappa
0.797445
kappa
0.829807
kappa
0.932482
kappa
0.897696
kappa
0.966333
kappa
0.966241
kappa
0.861293
kappa
0.93211
kappa
0.932296
kappa
0.833783
kappa
0.932048
kappa
0.866546
kappa
1
kappa
0.897884
kappa
0.966272
kappa
0.966024
kappa
0.965993
kappa
0.898165
kappa
0.96621
kappa
0.899183
kappa
0.898258
kappa
0.896744
kappa
0.831358
kappa
0.90018
kappa
1
kappa
0.93291
kappa
0.932971
kappa
1
kappa
0.966179
kappa
0.932727
kappa
1
kappa
0.966086
kappa
0.966272
kappa
0.899274
kappa
0.966241
kappa
0.864593
kappa
0.930368
kappa
0.860194
kappa
0.929619
kappa
0.930165
kappa
0.861272
kappa
0.930368
kappa
0.896848
kappa
0.896552
kappa
0.895247
kappa
0.965318
kappa
0.965116
kappa
0.861138
kappa
0.929893
kappa
0.895349
kappa
0.896154
kappa
0.965217
kappa
0.930502
kappa
0.965284
kappa
0.895954
kappa
0.930968
kappa
0.861804
kappa
0.965385
kappa
1
kappa
0.825073
kappa
0.894221
kappa
0.965284
kappa
0.930703
kappa
0.930502
kappa
0.930836
kappa
0.858824
kappa
0.965351
kappa
1
kappa
0.9303
kappa
0.896254
kappa
0.861671
kappa
0.965385
kappa
0.895954
kappa
0.895954
kappa
0.965318
kappa
0.930703
kb_relative_information_score
33.542111
kb_relative_information_score
34.355201
kb_relative_information_score
34.658061
kb_relative_information_score
35.036105
kb_relative_information_score
35.416758
kb_relative_information_score
32.609261
kb_relative_information_score
35.956265
kb_relative_information_score
34.419373
kb_relative_information_score
31.989449
kb_relative_information_score
34.384286
kb_relative_information_score
34.183878
kb_relative_information_score
30.663635
kb_relative_information_score
34.432832
kb_relative_information_score
35.218952
kb_relative_information_score
35.173136
kb_relative_information_score
33.84108
kb_relative_information_score
33.781547
kb_relative_information_score
35.274611
kb_relative_information_score
34.462493
kb_relative_information_score
34.159163
kb_relative_information_score
33.169439
kb_relative_information_score
33.987827
kb_relative_information_score
27.013071
kb_relative_information_score
31.537423
kb_relative_information_score
29.71837
kb_relative_information_score
30.31717
kb_relative_information_score
34.756529
kb_relative_information_score
34.719436
kb_relative_information_score
35.681558
kb_relative_information_score
35.666446
kb_relative_information_score
31.57366
kb_relative_information_score
33.737688
kb_relative_information_score
34.071195
kb_relative_information_score
31.338777
kb_relative_information_score
35.099695
kb_relative_information_score
32.589542
kb_relative_information_score
36.750591
kb_relative_information_score
32.6811
kb_relative_information_score
35.575179
kb_relative_information_score
35.802994
kb_relative_information_score
35.102464
kb_relative_information_score
33.314241
kb_relative_information_score
35.333751
kb_relative_information_score
33.36992
kb_relative_information_score
32.325289
kb_relative_information_score
32.670066
kb_relative_information_score
31.368575
kb_relative_information_score
33.140199
kb_relative_information_score
36.42362
kb_relative_information_score
34.427065
kb_relative_information_score
34.744984
kb_relative_information_score
36.497995
kb_relative_information_score
35.659019
kb_relative_information_score
34.43903
kb_relative_information_score
36.352809
kb_relative_information_score
35.529617
kb_relative_information_score
35.478347
kb_relative_information_score
33.631206
kb_relative_information_score
34.921958
kb_relative_information_score
31.763826
kb_relative_information_score
33.60407
kb_relative_information_score
30.838131
kb_relative_information_score
33.408173
kb_relative_information_score
33.85352
kb_relative_information_score
32.124285
kb_relative_information_score
33.608601
kb_relative_information_score
32.76233
kb_relative_information_score
32.792604
kb_relative_information_score
32.588157
kb_relative_information_score
34.446351
kb_relative_information_score
34.461415
kb_relative_information_score
31.005073
kb_relative_information_score
33.29568
kb_relative_information_score
32.540803
kb_relative_information_score
31.97402
kb_relative_information_score
34.55581
kb_relative_information_score
33.386344
kb_relative_information_score
34.578318
kb_relative_information_score
32.378213
kb_relative_information_score
33.422309
kb_relative_information_score
31.450517
kb_relative_information_score
34.714175
kb_relative_information_score
35.659234
kb_relative_information_score
29.68189
kb_relative_information_score
31.744585
kb_relative_information_score
34.504069
kb_relative_information_score
33.195259
kb_relative_information_score
33.40735
kb_relative_information_score
33.616077
kb_relative_information_score
30.848954
kb_relative_information_score
34.508729
kb_relative_information_score
35.084484
kb_relative_information_score
34.156538
kb_relative_information_score
32.726294
kb_relative_information_score
31.518765
kb_relative_information_score
34.752304
kb_relative_information_score
31.682398
kb_relative_information_score
32.330975
kb_relative_information_score
34.598757
kb_relative_information_score
33.690237
mean_absolute_error
0.030282
mean_absolute_error
0.022517
mean_absolute_error
0.019626
mean_absolute_error
0.01649
mean_absolute_error
0.014951
mean_absolute_error
0.029605
mean_absolute_error
0.008217
mean_absolute_error
0.023968
mean_absolute_error
0.040862
mean_absolute_error
0.021041
mean_absolute_error
0.023962
mean_absolute_error
0.048236
mean_absolute_error
0.025375
mean_absolute_error
0.014976
mean_absolute_error
0.016695
mean_absolute_error
0.026268
mean_absolute_error
0.025003
mean_absolute_error
0.013508
mean_absolute_error
0.021205
mean_absolute_error
0.020255
mean_absolute_error
0.037025
mean_absolute_error
0.029668
mean_absolute_error
0.07481
mean_absolute_error
0.040865
mean_absolute_error
0.054806
mean_absolute_error
0.051514
mean_absolute_error
0.018338
mean_absolute_error
0.022696
mean_absolute_error
0.013069
mean_absolute_error
0.011603
mean_absolute_error
0.040452
mean_absolute_error
0.025883
mean_absolute_error
0.025883
mean_absolute_error
0.050916
mean_absolute_error
0.018904
mean_absolute_error
0.038739
mean_absolute_error
0.005461
mean_absolute_error
0.03444
mean_absolute_error
0.012999
mean_absolute_error
0.014096
mean_absolute_error
0.01525
mean_absolute_error
0.032684
mean_absolute_error
0.015195
mean_absolute_error
0.032395
mean_absolute_error
0.034602
mean_absolute_error
0.0337
mean_absolute_error
0.044491
mean_absolute_error
0.035711
mean_absolute_error
0.008382
mean_absolute_error
0.023265
mean_absolute_error
0.024528
mean_absolute_error
0.008644
mean_absolute_error
0.013346
mean_absolute_error
0.023082
mean_absolute_error
0.004777
mean_absolute_error
0.01236
mean_absolute_error
0.016759
mean_absolute_error
0.029288
mean_absolute_error
0.019798
mean_absolute_error
0.040059
mean_absolute_error
0.020408
mean_absolute_error
0.044587
mean_absolute_error
0.020149
mean_absolute_error
0.020291
mean_absolute_error
0.034708
mean_absolute_error
0.020342
mean_absolute_error
0.03194
mean_absolute_error
0.032239
mean_absolute_error
0.028854
mean_absolute_error
0.015625
mean_absolute_error
0.015116
mean_absolute_error
0.03831
mean_absolute_error
0.024845
mean_absolute_error
0.027526
mean_absolute_error
0.033977
mean_absolute_error
0.011418
mean_absolute_error
0.020708
mean_absolute_error
0.013786
mean_absolute_error
0.030478
mean_absolute_error
0.025401
mean_absolute_error
0.038065
mean_absolute_error
0.014323
mean_absolute_error
0.004714
mean_absolute_error
0.053546
mean_absolute_error
0.038128
mean_absolute_error
0.01488
mean_absolute_error
0.024306
mean_absolute_error
0.021962
mean_absolute_error
0.022587
mean_absolute_error
0.041954
mean_absolute_error
0.016841
mean_absolute_error
0.011214
mean_absolute_error
0.01748
mean_absolute_error
0.031365
mean_absolute_error
0.041495
mean_absolute_error
0.013746
mean_absolute_error
0.036031
mean_absolute_error
0.030374
mean_absolute_error
0.013434
mean_absolute_error
0.022816
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.265063
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266517
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.26598
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266477
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
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37 [11,6,8,5,5,2]
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37 [12,6,7,5,5,2]
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37 [11,6,7,5,6,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
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37 [11,6,8,5,5,2]
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37 [12,6,7,5,5,2]
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37 [12,6,7,5,5,2]
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37 [12,6,7,5,5,2]
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37 [12,6,7,5,5,2]
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37 [11,6,8,5,5,2]
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37 [11,6,8,5,5,2]
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37 [12,6,7,5,5,2]
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37 [11,6,8,5,5,2]
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37 [11,6,7,5,6,2]
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37 [11,6,8,5,5,2]
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37 [11,6,7,5,6,2]
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37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,8,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,4,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
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37 [12,6,7,5,5,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,7,7,5,5,2]
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37 [11,6,7,5,6,2]
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37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
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37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
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37 [11,6,7,5,6,2]
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37 [11,6,8,5,5,2]
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37 [11,7,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,8,4,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
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36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,4,6,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
precision
0.922297 [1,0.833333,0.875,0.8,1,1]
precision
0.95045 [1,1,0.857143,1,0.833333,1]
precision
0.952059 [0.916667,0.857143,1,1,1,1]
precision
0.977477 [1,1,1,1,0.833333,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.905405 [1,0.75,1,1,1,0]
precision
1 [1,1,1,1,1,1]
precision
0.975052 [0.923077,1,1,1,1,1]
precision
0.932432 [1,0.75,1,1,1,0.5]
precision
0.953829 [1,1,0.875,0.833333,1,1]
precision
0.959459 [1,1,1,0.833333,1,0.666667]
precision
0.860811 [1,0.6,0.75,0.8,1,1]
precision
0.930931 [1,0.833333,0.777778,1,1,1]
precision
0.976351 [1,0.875,1,1,1,1]
precision
0.975225 [0.916667,1,1,1,1,1]
precision
0.952059 [0.916667,0.857143,1,1,1,1]
precision
0.952529 [0.923077,1,1,0.833333,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.953185 [1,0.857143,0.875,1,1,1]
precision
0.959459 [1,0.75,1,1,1,1]
precision
0.853876 [0.846154,0.714286,1,1,1,0]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.759459 [0.8,0.5,1,0.6,0.833333,0.666667]
precision
0.896396 [0.833333,0.833333,1,1,1,0.5]
precision
0.851351 [1,0.5,1,0.5,1,1]
precision
0.882883 [0.833333,0.833333,1,1,0.75,1]
precision
0.959459 [1,0.75,1,1,1,1]
precision
0.891892 [1,0.666667,1,1,1,0]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.908108 [0.8,0.833333,1,1,1,1]
precision
0.949807 [0.909091,0.857143,1,1,1,1]
precision
0.954311 [1,0.857143,1,1,0.833333,1]
precision
0.910511 [0.888889,1,0.888889,1,1,0.4]
precision
0.952059 [0.916667,0.857143,1,1,1,1]
precision
0.903861 [1,0.8,1,0.833333,0.857143,0.666667]
precision
1 [1,1,1,1,1,1]
precision
0.931096 [0.846154,0.857143,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.975225 [0.916667,1,1,1,1,1]
precision
0.977477 [1,1,1,1,0.833333,1]
precision
0.931739 [0.846154,1,1,0.833333,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.931145 [1,0.714286,1,0.833333,1,1]
precision
0.938867 [1,1,1,0.833333,0.714286,1]
precision
0.932046 [0.857143,1,1,0.8,1,1]
precision
0.882561 [0.916667,0.666667,1,0.714286,1,1]
precision
0.95045 [1,1,1,0.833333,1,0.5]
precision
1 [1,1,1,1,1,1]
precision
0.959459 [1,1,1,0.833333,1,0.666667]
precision
0.952703 [1,0.875,0.875,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976351 [1,0.875,1,1,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976351 [1,1,0.875,1,1,1]
precision
0.975976 [1,1,0.888889,1,1,1]
precision
0.931789 [1,0.833333,1,1,0.857143,0.666667]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.89527 [0.909091,0.833333,0.875,0.833333,1,1]
precision
0.947917 [1,0.833333,0.875,1,1,1]
precision
0.898148 [0.833333,0.833333,1,1,0.833333,1]
precision
0.895172 [0.916667,0.857143,1,1,1,0]
precision
0.950728 [0.916667,0.857143,1,1,1,1]
precision
0.907407 [0.909091,0.75,1,1,0.833333,1]
precision
0.947917 [1,0.833333,0.875,1,1,1]
precision
0.944444 [1,0.666667,1,1,1,1]
precision
0.941667 [1,0.7,1,1,1,1]
precision
0.9375 [0.916667,1,1,0.666667,1,1]
precision
0.976852 [1,1,1,1,0.833333,1]
precision
0.974537 [0.916667,1,1,1,1,1]
precision
0.90162 [1,0.666667,0.875,1,1,0.666667]
precision
0.952991 [0.846154,1,1,1,1,1]
precision
0.93287 [0.916667,0.75,1,1,1,1]
precision
0.934028 [1,1,0.875,0.833333,1,0.666667]
precision
0.97619 [1,0.857143,1,1,1,1]
precision
0.944444 [1,0.833333,1,0.8,1,1]
precision
0.97619 [1,0.857143,1,1,1,1]
precision
0.923843 [1,0.8,0.875,1,1,0.666667]
precision
0.953704 [1,1,1,0.833333,0.833333,1]
precision
0.909722 [1,0.625,1,0.8,1,1]
precision
0.975694 [1,1,0.875,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.868287 [0.833333,0.8,0.875,1,0.833333,1]
precision
0.934524 [0.785714,1,1,1,1,1]
precision
0.97619 [1,0.857143,1,1,1,1]
precision
0.957176 [1,1,0.875,1,1,0.666667]
precision
0.952546 [1,1,0.875,0.833333,1,1]
precision
0.952546 [1,1,0.875,0.833333,1,1]
precision
0.906746 [0.785714,0.833333,1,1,1,1]
precision
0.97619 [1,1,1,1,0.857143,1]
precision
1 [1,1,1,1,1,1]
precision
0.951389 [0.916667,1,1,0.833333,1,1]
precision
0.921825 [0.9,0.714286,1,1,1,1]
precision
0.917361 [1,0.7,0.875,1,1,1]
precision
0.975694 [1,1,0.875,1,1,1]
precision
0.936508 [1,0.857143,1,1,0.714286,1]
precision
0.934028 [1,0.75,0.875,1,1,1]
precision
0.976852 [1,1,1,1,0.833333,1]
precision
0.951885 [1,0.857143,0.875,1,1,1]
predictive_accuracy
0.918919
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.891892
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.864865
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.891892
predictive_accuracy
0.972973
predictive_accuracy
0.783784
predictive_accuracy
0.891892
predictive_accuracy
0.837838
predictive_accuracy
0.864865
predictive_accuracy
0.945946
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.891892
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.864865
predictive_accuracy
0.945946
predictive_accuracy
0.891892
predictive_accuracy
1
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.918919
predictive_accuracy
0.918919
predictive_accuracy
0.918919
predictive_accuracy
0.864865
predictive_accuracy
0.918919
predictive_accuracy
1
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.891892
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.944444
predictive_accuracy
0.916667
predictive_accuracy
0.916667
predictive_accuracy
0.916667
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
0.888889
predictive_accuracy
0.944444
predictive_accuracy
0.916667
predictive_accuracy
0.916667
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
0.972222
predictive_accuracy
0.916667
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.861111
predictive_accuracy
0.916667
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.944444
predictive_accuracy
0.916667
predictive_accuracy
0.888889
predictive_accuracy
0.972222
predictive_accuracy
0.916667
predictive_accuracy
0.916667
predictive_accuracy
0.972222
predictive_accuracy
0.944444
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
recall
0.918919 [0.909091,0.833333,1,0.8,1,1]
recall
0.945946 [0.916667,1,0.857143,1,1,1]
recall
0.945946 [1,1,0.857143,0.8,1,1]
recall
0.972973 [1,1,0.857143,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.945946 [1,1,1,1,1,0]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.891892 [0.833333,1,1,0.8,0.8,1]
recall
0.945946 [0.916667,0.833333,1,1,1,1]
recall
0.945946 [1,0.666667,1,1,1,1]
recall
0.864865 [1,0.5,0.857143,0.8,1,1]
recall
0.918919 [0.909091,0.833333,1,1,1,0.5]
recall
0.972973 [0.916667,1,1,1,1,1]
recall
0.972973 [1,1,0.875,1,1,1]
recall
0.945946 [1,1,1,0.8,0.8,1]
recall
0.945946 [1,0.833333,1,1,0.8,1]
recall
0.972973 [1,1,0.857143,1,1,1]
recall
0.945946 [0.916667,1,1,0.8,1,1]
recall
0.945946 [1,1,0.857143,0.8,1,1]
recall
0.891892 [1,0.833333,0.875,1,1,0]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.783784 [1,0.166667,0.857143,0.6,1,1]
recall
0.891892 [0.909091,0.833333,1,1,0.8,0.5]
recall
0.837838 [1,0.833333,0.857143,0.2,1,1]
recall
0.864865 [0.909091,0.833333,1,0.6,1,0.5]
recall
0.945946 [1,1,1,0.6,1,1]
recall
0.918919 [1,1,1,0.8,1,0]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,1,0.875,1,1,1]
recall
0.891892 [1,0.833333,0.857143,0.6,1,1]
recall
0.945946 [0.909091,1,1,1,1,0.5]
recall
0.945946 [0.833333,1,1,1,1,1]
recall
0.864865 [0.727273,0.833333,1,0.8,1,1]
recall
0.945946 [1,1,1,1,0.833333,0.5]
recall
0.891892 [0.909091,0.666667,0.857143,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.918919 [1,1,0.75,0.8,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.972973 [1,1,0.875,1,1,1]
recall
0.972973 [1,1,0.857143,1,1,1]
recall
0.918919 [1,0.666667,0.857143,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.918919 [1,0.833333,0.714286,1,1,1]
recall
0.918919 [0.916667,0.833333,1,1,1,0.5]
recall
0.918919 [1,0.714286,0.857143,1,1,1]
recall
0.864865 [1,0.666667,0.625,1,1,1]
recall
0.918919 [0.909091,0.833333,1,1,0.833333,1]
recall
1 [1,1,1,1,1,1]
recall
0.945946 [1,0.666667,1,1,1,1]
recall
0.945946 [0.818182,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.945946 [1,0.666667,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [0.916667,1,1,1,1,1]
recall
0.972973 [0.909091,1,1,1,1,1]
recall
0.918919 [1,0.833333,0.857143,0.8,1,1]
recall
0.972973 [1,1,0.875,1,1,1]
recall
0.891892 [0.909091,0.714286,1,1,1,0.5]
recall
0.944444 [1,0.833333,1,0.8,1,1]
recall
0.888889 [0.909091,0.833333,1,0.6,1,1]
recall
0.944444 [1,1,1,1,1,0]
recall
0.944444 [1,1,0.857143,0.8,1,1]
recall
0.888889 [0.909091,1,0.714286,0.8,1,1]
recall
0.944444 [1,0.833333,1,0.8,1,1]
recall
0.916667 [0.818182,1,0.857143,1,1,1]
recall
0.916667 [0.727273,1,1,1,1,1]
recall
0.916667 [1,0.666667,0.875,1,1,1]
recall
0.972222 [1,1,0.857143,1,1,1]
recall
0.972222 [1,1,0.857143,1,1,1]
recall
0.888889 [1,0.666667,1,0.6,1,1]
recall
0.944444 [1,0.833333,0.857143,1,1,1]
recall
0.916667 [1,1,0.714286,0.8,1,1]
recall
0.916667 [1,0.5,1,1,1,1]
recall
0.972222 [1,1,1,0.8,1,1]
recall
0.944444 [1,0.833333,1,0.8,1,1]
recall
0.972222 [1,1,0.857143,1,1,1]
recall
0.916667 [1,0.666667,1,0.8,1,1]
recall
0.944444 [0.909091,0.833333,1,1,1,1]
recall
0.888889 [0.909091,0.833333,0.857143,0.8,1,1]
recall
0.972222 [0.909091,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.861111 [0.909091,0.666667,1,0.6,1,1]
recall
0.916667 [1,0.833333,0.857143,0.8,1,1]
recall
0.972222 [1,1,0.857143,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
0.944444 [0.909091,0.833333,1,1,1,1]
recall
0.888889 [1,0.833333,0.857143,0.6,1,1]
recall
0.972222 [0.909091,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.944444 [1,0.833333,0.857143,1,1,1]
recall
0.916667 [0.818182,0.833333,1,1,1,1]
recall
0.888889 [0.727273,1,1,0.75,1,1]
recall
0.972222 [0.909091,1,1,1,1,1]
recall
0.916667 [0.909091,1,1,0.8,1,0.5]
recall
0.916667 [0.909091,1,1,0.6,1,1]
recall
0.972222 [1,1,0.857143,1,1,1]
recall
0.944444 [0.909091,1,1,0.8,1,1]
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relative_absolute_error
0.135173
relative_absolute_error
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relative_absolute_error
0.050401
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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0.434711
root_relative_squared_error
0.37285
root_relative_squared_error
0.303614
root_relative_squared_error
0.280136
root_relative_squared_error
0.232
root_relative_squared_error
0.388732
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0.099352
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0.351575
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0.490931
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0.391037
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0.252048
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0.21654
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0.353466
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0.35161
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0.513158
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0.05662
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0.370921
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0.356644
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0.231312
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0.384315
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