396565
2
Joaquin Vanschoren
1915
Supervised Classification
predictive_accuracy
1172
weka.LibSVM(2)
1924
weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1
S
0
1172
K
2
1172
D
3
1172
G
0.0
1172
R
0.0
1172
C
1.0
1172
N
0.5
1172
P
0.1
1172
M
40.0
1172
E
0.001
1172
model
/Users/joa/Downloads/weka-3-7-12
1172
seed
1
1172
weka
weka_3.7.12
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
1387141
description
https://api.openml.org/data/download/1387141/weka_generated_run3251099905759491601.xml
-1
1387144
model_readable
https://api.openml.org/data/download/1387144/WekaModel_weka.classifiers.functions.LibSVM5433594248825813213.model
-1
1387143
model_serialized
https://api.openml.org/data/download/1387143/WekaSerialized_weka.classifiers.functions.LibSVM949240765393416035.model
-1
1387142
predictions
https://api.openml.org/data/download/1387142/weka_generated_predictions7105218522560563616.arff
area_under_roc_curve
0.897341 [0.958799,0.883115,0.99375,0.643395,0.869402,0.944306]
average_cost
0
f_measure
0.820286 [0.927598,0.712311,0.993711,0.440678,0.841876,0.798246]
kappa
0.790429
kb_relative_information_score
2893.619851
mean_absolute_error
0.055373
mean_prior_absolute_error
0.266447
number_of_instances
3660 [1120,610,720,490,520,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.864684 [0.886808,0.59516,1,0.899371,0.972292,0.710938]
predictive_accuracy
0.83388
prior_entropy
2.437791
recall
0.83388 [0.972321,0.886885,0.9875,0.291837,0.742308,0.91]
relative_absolute_error
0.207821
root_mean_prior_squared_error
0.364873
root_mean_squared_error
0.235316
root_relative_squared_error
0.644925
scimark_benchmark
949.776569 [556.0219081615357, 1012.5880246437401, 505.290270117647, 909.2750931850325, 1765.707548606275]
total_cost
0
usercpu_time_millis
180
usercpu_time_millis_testing
80
usercpu_time_millis_training
100
area_under_roc_curve
0.881397 [0.961538,0.852151,1,0.484375,0.916667,1]
area_under_roc_curve
0.883226 [0.98,0.903226,1,0.5,0.8,1]
area_under_roc_curve
0.934225 [0.980769,0.967742,1,0.6,1,0.985714]
area_under_roc_curve
0.840369 [0.896667,0.819892,1,0.6,0.7,0.957143]
area_under_roc_curve
0.8739 [0.980769,0.784946,0.9375,0.7,0.784375,0.957143]
area_under_roc_curve
0.919355 [1,0.919355,1,0.6,0.9,1]
area_under_roc_curve
0.937229 [1,0.895238,1,0.609848,1,0.985714]
area_under_roc_curve
0.932117 [0.98,0.884409,1,0.784375,0.9,1]
area_under_roc_curve
0.877327 [0.898333,0.951613,1,0.7,0.7,0.985714]
area_under_roc_curve
0.933456 [0.98,0.884409,1,0.8,0.9,0.985714]
area_under_roc_curve
0.932382 [0.980769,0.951613,1,0.7,0.9,1]
area_under_roc_curve
0.983871 [1,0.983871,1,0.9,1,1]
area_under_roc_curve
0.87469 [0.923077,0.951613,1,0.6,0.75,1]
area_under_roc_curve
0.946667 [0.98,0.895238,1,0.75,1,1]
area_under_roc_curve
0.918096 [0.935315,0.951613,1,0.6,1,0.985714]
area_under_roc_curve
0.887682 [0.88986,0.935484,1,0.7,0.8,0.971429]
area_under_roc_curve
0.931613 [0.98,0.951613,1,0.7,0.9,1]
area_under_roc_curve
0.901198 [0.98,0.768817,1,0.6,1,0.985714]
area_under_roc_curve
0.826912 [0.92,0.685484,0.928571,0.6,0.8,0.971429]
area_under_roc_curve
0.853131 [0.918333,0.784946,0.928571,0.584375,0.9,0.957143]
area_under_roc_curve
0.918096 [0.935315,0.951613,1,0.6,1,0.985714]
area_under_roc_curve
0.951613 [1,0.951613,1,0.7,1,1]
area_under_roc_curve
0.906912 [0.958333,0.852151,1,0.8,0.9,0.721429]
area_under_roc_curve
0.935484 [1,0.935484,1,0.7,1,0.75]
area_under_roc_curve
0.897022 [0.961538,0.935484,1,0.6,0.916667,0.75]
area_under_roc_curve
0.900124 [0.980769,0.852151,1,0.6,0.900538,1]
area_under_roc_curve
0.863506 [0.896853,0.852151,0.928571,0.6,0.916667,0.985714]
area_under_roc_curve
0.948511 [0.980769,0.967742,1,0.7,1,1]
area_under_roc_curve
0.900124 [0.935315,0.951613,1,0.7,0.884409,0.75]
area_under_roc_curve
0.887682 [0.935315,0.852151,1,0.7,0.8,0.971429]
area_under_roc_curve
0.881702 [0.96,0.784946,1,0.7,0.784375,0.985714]
area_under_roc_curve
0.919355 [1,0.919355,1,0.7,0.9,0.75]
area_under_roc_curve
0.938305 [0.958333,0.967742,1,0.859848,0.9,0.735714]
area_under_roc_curve
0.897022 [0.961538,0.935484,1,0.5,0.9,1]
area_under_roc_curve
0.884499 [0.980769,0.836022,1,0.484375,0.916667,1]
area_under_roc_curve
0.898866 [0.961538,0.86828,1,0.6,1,0.735714]
area_under_roc_curve
0.880893 [0.961538,0.919355,1,0.5,0.833333,1]
area_under_roc_curve
0.893921 [0.942308,0.951613,1,0.7,0.7,1]
area_under_roc_curve
0.919355 [1,0.919355,1,0.5,1,1]
area_under_roc_curve
0.967742 [1,0.967742,1,0.75,1,1]
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
0.91 [0.96,0.95,1,0.625,0.8,1]
area_under_roc_curve
0.812017 [0.923077,0.653226,1,0.6,0.7,0.735714]
area_under_roc_curve
0.918096 [0.935315,0.951613,1,0.6,1,0.985714]
area_under_roc_curve
0.935714 [1,0.95,1,0.7,0.9,0.985714]
area_under_roc_curve
0.876533 [0.877622,0.967742,1,0.7,0.75,0.985714]
area_under_roc_curve
0.875641 [0.942308,0.861905,1,0.6,0.8,1]
area_under_roc_curve
0.832506 [0.961538,0.787634,1,0.5,0.666667,1]
area_under_roc_curve
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area_under_roc_curve
0.905069 [0.954545,0.919355,1,0.7,0.916667,0.735714]
area_under_roc_curve
0.876498 [0.916667,0.836022,1,0.6,1,0.707143]
area_under_roc_curve
0.931613 [0.98,0.951613,1,0.6,1,1]
area_under_roc_curve
0.86837 [0.980769,0.819892,1,0.584375,0.7,1]
area_under_roc_curve
0.885838 [0.980769,0.919355,1,0.6,0.75,0.985714]
area_under_roc_curve
0.932886 [0.980769,0.884409,1,0.784375,0.9,1]
area_under_roc_curve
0.881811 [0.980769,0.845238,1,0.584375,0.8,1]
area_under_roc_curve
0.860588 [0.94,0.866667,1,0.6,0.8,0.720588]
area_under_roc_curve
0.911961 [0.96,0.8,1,0.7,1,0.985294]
area_under_roc_curve
0.878627 [0.914545,0.85,1,0.6,0.9,0.985294]
area_under_roc_curve
0.897204 [0.98,0.85,1,0.583871,0.9,1]
area_under_roc_curve
0.9 [1,0.9,1,0.6,0.8,1]
area_under_roc_curve
0.93 [0.98,0.95,1,0.7,0.9,1]
area_under_roc_curve
0.913333 [0.98,0.933333,1,0.7,0.9,0.75]
area_under_roc_curve
0.925517 [0.96,0.965517,1,0.75,0.8,1]
area_under_roc_curve
0.898627 [0.934545,0.933333,1,0.625,0.8,0.985294]
area_under_roc_curve
0.82 [0.92,0.733333,1,0.6,0.7,0.75]
area_under_roc_curve
0.887255 [0.954545,0.833333,1,0.6,0.9,0.970588]
area_under_roc_curve
0.825294 [0.894545,0.9,1,0.5,0.7,0.735294]
area_under_roc_curve
0.893333 [0.96,0.85,1,0.5,1,1]
area_under_roc_curve
0.901961 [1,0.833333,1,0.7,0.8,0.985294]
area_under_roc_curve
0.893333 [0.96,0.85,1,0.7,0.8,1]
area_under_roc_curve
0.917255 [0.98,0.883333,1,0.7,0.9,0.970588]
area_under_roc_curve
0.86451 [0.849091,0.9,1,0.6,0.9,0.941176]
area_under_roc_curve
0.881961 [0.934545,0.833333,1,0.5,1,0.985294]
area_under_roc_curve
0.856667 [0.94,0.833333,1,0.6,0.7,1]
area_under_roc_curve
0.933333 [1,0.933333,1,0.6,1,1]
area_under_roc_curve
0.916667 [1,0.916667,1,0.6,0.9,1]
area_under_roc_curve
0.893922 [0.94,0.9,0.928571,0.7,0.9,0.970588]
area_under_roc_curve
0.916667 [1,0.916667,1,0.6,0.9,1]
area_under_roc_curve
0.917255 [0.98,0.883333,1,0.7,0.9,0.970588]
area_under_roc_curve
0.873333 [0.94,0.85,1,0.8,0.6,1]
area_under_roc_curve
0.849165 [0.934545,0.816667,0.928571,0.6,0.883871,0.735294]
area_under_roc_curve
0.95 [1,0.95,1,0.7,1,1]
area_under_roc_curve
0.830588 [0.914545,0.9,0.928571,0.6,0.7,0.720588]
area_under_roc_curve
0.951961 [1,0.883333,1,0.8,1,0.985294]
area_under_roc_curve
0.913333 [0.98,0.933333,1,0.6,0.9,1]
area_under_roc_curve
0.928627 [0.914545,0.983333,1,0.75,0.916667,0.985294]
area_under_roc_curve
0.881816 [0.934545,0.805419,1,0.609375,0.883871,0.985294]
area_under_roc_curve
0.89 [0.94,0.95,1,0.7,0.7,1]
area_under_roc_curve
0.871961 [0.92,0.883333,0.928571,0.7,0.8,0.985294]
area_under_roc_curve
0.912428 [0.96,0.839901,1,0.734375,0.9,0.985294]
area_under_roc_curve
0.878627 [0.96,0.85,1,0.7,0.7,0.985294]
area_under_roc_curve
0.883871 [1,0.816667,1,0.7,0.683871,1]
area_under_roc_curve
0.878627 [0.96,0.766667,1,0.6,0.9,0.985294]
area_under_roc_curve
0.917255 [0.934545,0.883333,1,0.7,1,0.970588]
area_under_roc_curve
0.900538 [1,0.916667,1,0.583871,0.9,0.75]
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f_measure
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f_measure
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0.889592 [0.956522,0.769231,1,0.666667,0.888889,1]
f_measure
0.793702 [0.956522,0.666667,1,0.285714,0.75,1]
f_measure
0.755066 [0.88,0.714286,1,0.333333,0.75,0.4]
f_measure
0.848347 [0.916667,0.666667,1,0.571429,1,0.8]
f_measure
0.785454 [0.869565,0.666667,1,0.333333,0.888889,0.8]
f_measure
0.816521 [0.956522,0.666667,1,0.285714,0.888889,1]
f_measure
0.81713 [1,0.666667,1,0.333333,0.75,1]
f_measure
0.878426 [0.956522,0.8,1,0.571429,0.888889,1]
f_measure
0.851574 [0.956522,0.75,1,0.571429,0.888889,0.666667]
f_measure
0.878472 [0.916667,0.875,1,0.666667,0.75,1]
f_measure
0.818056 [0.909091,0.75,1,0.4,0.75,0.8]
f_measure
0.699023 [0.846154,0.5,1,0.333333,0.571429,0.666667]
f_measure
0.796407 [0.952381,0.625,1,0.333333,0.888889,0.666667]
f_measure
0.667328 [0.833333,0.666667,1,0,0.571429,0.5]
f_measure
0.780093 [0.916667,0.666667,1,0,1,1]
f_measure
0.832143 [1,0.625,1,0.571429,0.75,0.8]
f_measure
0.824735 [0.916667,0.666667,1,0.571429,0.75,1]
f_measure
0.854779 [0.956522,0.769231,1,0.571429,0.888889,0.666667]
f_measure
0.769995 [0.782609,0.833333,1,0.333333,0.888889,0.5]
f_measure
0.759722 [0.909091,0.625,1,0,1,0.8]
f_measure
0.748717 [0.88,0.625,1,0.333333,0.571429,1]
f_measure
0.865741 [1,0.75,1,0.333333,1,1]
f_measure
0.842956 [1,0.705882,1,0.333333,0.888889,1]
f_measure
0.827124 [0.88,0.833333,0.923077,0.571429,0.888889,0.666667]
f_measure
0.842956 [1,0.705882,1,0.333333,0.888889,1]
f_measure
0.854779 [0.956522,0.769231,1,0.571429,0.888889,0.666667]
f_measure
0.780463 [0.88,0.666667,1,0.75,0.333333,1]
f_measure
0.740489 [0.909091,0.588235,0.923077,0.333333,0.8,0.5]
f_measure
0.907143 [1,0.8,1,0.571429,1,1]
f_measure
0.704182 [0.869565,0.666667,0.923077,0.333333,0.571429,0.4]
f_measure
0.915705 [1,0.769231,1,0.75,1,0.8]
f_measure
0.837024 [0.956522,0.75,1,0.333333,0.888889,1]
f_measure
0.884025 [0.869565,0.923077,1,0.666667,0.909091,0.8]
f_measure
0.794444 [0.909091,0.666667,1,0.333333,0.8,0.8]
f_measure
0.810952 [0.88,0.8,1,0.571429,0.571429,1]
f_measure
0.794216 [0.846154,0.769231,0.923077,0.571429,0.75,0.8]
f_measure
0.855503 [0.916667,0.769231,1,0.571429,0.888889,0.8]
f_measure
0.788823 [0.916667,0.666667,1,0.571429,0.571429,0.8]
f_measure
0.802404 [1,0.588235,1,0.571429,0.5,1]
f_measure
0.783973 [0.916667,0.571429,1,0.333333,0.888889,0.8]
f_measure
0.855718 [0.909091,0.769231,1,0.571429,1,0.666667]
f_measure
0.817823 [1,0.705882,1,0.285714,0.888889,0.666667]
kappa
0.76107
kappa
0.758621
kappa
0.864593
kappa
0.662716
kappa
0.730664
kappa
0.830119
kappa
0.86309
kappa
0.862709
kappa
0.758396
kappa
0.86309
kappa
0.863594
kappa
0.965899
kappa
0.758845
kappa
0.896359
kappa
0.830896
kappa
0.764973
kappa
0.862454
kappa
0.794444
kappa
0.652582
kappa
0.694215
kappa
0.830896
kappa
0.898258
kappa
0.796889
kappa
0.863845
kappa
0.794444
kappa
0.796143
kappa
0.728191
kappa
0.89779
kappa
0.796517
kappa
0.763902
kappa
0.758845
kappa
0.82965
kappa
0.863594
kappa
0.794063
kappa
0.762167
kappa
0.795203
kappa
0.760849
kappa
0.793103
kappa
0.830741
kappa
0.931985
kappa
0.760407
kappa
0.730173
kappa
0.728689
kappa
0.794254
kappa
0.79096
kappa
0.825307
kappa
0.618557
kappa
0.831512
kappa
0.864593
kappa
0.76107
kappa
0.758396
kappa
0.658356
kappa
0.730173
kappa
0.798182
kappa
0.731397
kappa
0.862454
kappa
0.726685
kappa
0.763038
kappa
0.863845
kappa
0.760628
kappa
0.71737
kappa
0.824732
kappa
0.75534
kappa
0.789679
kappa
0.790291
kappa
0.859786
kappa
0.824047
kappa
0.857988
kappa
0.789474
kappa
0.641791
kappa
0.758621
kappa
0.646365
kappa
0.788443
kappa
0.791304
kappa
0.788443
kappa
0.826087
kappa
0.723608
kappa
0.756522
kappa
0.715976
kappa
0.860465
kappa
0.825412
kappa
0.789474
kappa
0.825412
kappa
0.826087
kappa
0.751724
kappa
0.68635
kappa
0.89545
kappa
0.650146
kappa
0.895954
kappa
0.824561
kappa
0.860058
kappa
0.755577
kappa
0.787192
kappa
0.751969
kappa
0.824219
kappa
0.753906
kappa
0.755577
kappa
0.754146
kappa
0.827089
kappa
0.789883
kb_relative_information_score
28.346489
kb_relative_information_score
27.822553
kb_relative_information_score
32.032009
kb_relative_information_score
24.844407
kb_relative_information_score
27.19779
kb_relative_information_score
30.598379
kb_relative_information_score
31.56148
kb_relative_information_score
31.717728
kb_relative_information_score
28.205184
kb_relative_information_score
31.717728
kb_relative_information_score
31.871476
kb_relative_information_score
35.403247
kb_relative_information_score
28.29955
kb_relative_information_score
32.834577
kb_relative_information_score
30.923122
kb_relative_information_score
28.788503
kb_relative_information_score
31.6129
kb_relative_information_score
29.247417
kb_relative_information_score
24.497848
kb_relative_information_score
25.99086
kb_relative_information_score
30.923122
kb_relative_information_score
33.115629
kb_relative_information_score
29.062864
kb_relative_information_score
31.380176
kb_relative_information_score
29.052402
kb_relative_information_score
29.619586
kb_relative_information_score
27.607182
kb_relative_information_score
33.115629
kb_relative_information_score
29.406089
kb_relative_information_score
28.539644
kb_relative_information_score
28.032208
kb_relative_information_score
30.136023
kb_relative_information_score
31.28027
kb_relative_information_score
29.325282
kb_relative_information_score
28.346489
kb_relative_information_score
29.128286
kb_relative_information_score
28.270606
kb_relative_information_score
29.383171
kb_relative_information_score
30.758912
kb_relative_information_score
34.354243
kb_relative_information_score
27.540908
kb_relative_information_score
27.456023
kb_relative_information_score
27.017687
kb_relative_information_score
29.543703
kb_relative_information_score
29.124595
kb_relative_information_score
30.241444
kb_relative_information_score
22.869812
kb_relative_information_score
31.112598
kb_relative_information_score
31.968133
kb_relative_information_score
28.653237
kb_relative_information_score
28.282613
kb_relative_information_score
24.614031
kb_relative_information_score
27.236558
kb_relative_information_score
29.406089
kb_relative_information_score
26.841412
kb_relative_information_score
31.583956
kb_relative_information_score
26.941804
kb_relative_information_score
28.29955
kb_relative_information_score
31.976304
kb_relative_information_score
28.282613
kb_relative_information_score
25.486789
kb_relative_information_score
29.815376
kb_relative_information_score
27.546985
kb_relative_information_score
28.466395
kb_relative_information_score
28.390512
kb_relative_information_score
30.907762
kb_relative_information_score
29.172309
kb_relative_information_score
30.809403
kb_relative_information_score
28.520239
kb_relative_information_score
23.074367
kb_relative_information_score
27.546985
kb_relative_information_score
23.218398
kb_relative_information_score
28.437451
kb_relative_information_score
28.49534
kb_relative_information_score
28.49534
kb_relative_information_score
29.739493
kb_relative_information_score
26.627575
kb_relative_information_score
27.518041
kb_relative_information_score
25.97809
kb_relative_information_score
30.878818
kb_relative_information_score
29.634665
kb_relative_information_score
28.646498
kb_relative_information_score
29.634665
kb_relative_information_score
29.739493
kb_relative_information_score
27.280131
kb_relative_information_score
24.718537
kb_relative_information_score
32.151915
kb_relative_information_score
23.398501
kb_relative_information_score
32.256742
kb_relative_information_score
29.634665
kb_relative_information_score
31.226965
kb_relative_information_score
27.524509
kb_relative_information_score
28.419456
kb_relative_information_score
27.402345
kb_relative_information_score
29.717016
kb_relative_information_score
27.251187
kb_relative_information_score
27.251187
kb_relative_information_score
27.298126
kb_relative_information_score
30.064235
kb_relative_information_score
27.899211
mean_absolute_error
0.063063
mean_absolute_error
0.063063
mean_absolute_error
0.036036
mean_absolute_error
0.09009
mean_absolute_error
0.072072
mean_absolute_error
0.045045
mean_absolute_error
0.036036
mean_absolute_error
0.036036
mean_absolute_error
0.063063
mean_absolute_error
0.036036
mean_absolute_error
0.036036
mean_absolute_error
0.009009
mean_absolute_error
0.063063
mean_absolute_error
0.027027
mean_absolute_error
0.045045
mean_absolute_error
0.063063
mean_absolute_error
0.036036
mean_absolute_error
0.054054
mean_absolute_error
0.09009
mean_absolute_error
0.081081
mean_absolute_error
0.045045
mean_absolute_error
0.027027
mean_absolute_error
0.054054
mean_absolute_error
0.036036
mean_absolute_error
0.054054
mean_absolute_error
0.054054
mean_absolute_error
0.072072
mean_absolute_error
0.027027
mean_absolute_error
0.054054
mean_absolute_error
0.063063
mean_absolute_error
0.063063
mean_absolute_error
0.045045
mean_absolute_error
0.036036
mean_absolute_error
0.054054
mean_absolute_error
0.063063
mean_absolute_error
0.054054
mean_absolute_error
0.063063
mean_absolute_error
0.054054
mean_absolute_error
0.045045
mean_absolute_error
0.018018
mean_absolute_error
0.063063
mean_absolute_error
0.072072
mean_absolute_error
0.072072
mean_absolute_error
0.054054
mean_absolute_error
0.054054
mean_absolute_error
0.045045
mean_absolute_error
0.099099
mean_absolute_error
0.045045
mean_absolute_error
0.036036
mean_absolute_error
0.063063
mean_absolute_error
0.063063
mean_absolute_error
0.09009
mean_absolute_error
0.072072
mean_absolute_error
0.054054
mean_absolute_error
0.072072
mean_absolute_error
0.036036
mean_absolute_error
0.072072
mean_absolute_error
0.063063
mean_absolute_error
0.036036
mean_absolute_error
0.063063
mean_absolute_error
0.074074
mean_absolute_error
0.046296
mean_absolute_error
0.064815
mean_absolute_error
0.055556
mean_absolute_error
0.055556
mean_absolute_error
0.037037
mean_absolute_error
0.046296
mean_absolute_error
0.037037
mean_absolute_error
0.055556
mean_absolute_error
0.092593
mean_absolute_error
0.064815
mean_absolute_error
0.092593
mean_absolute_error
0.055556
mean_absolute_error
0.055556
mean_absolute_error
0.055556
mean_absolute_error
0.046296
mean_absolute_error
0.074074
mean_absolute_error
0.064815
mean_absolute_error
0.074074
mean_absolute_error
0.037037
mean_absolute_error
0.046296
mean_absolute_error
0.055556
mean_absolute_error
0.046296
mean_absolute_error
0.046296
mean_absolute_error
0.064815
mean_absolute_error
0.083333
mean_absolute_error
0.027778
mean_absolute_error
0.092593
mean_absolute_error
0.027778
mean_absolute_error
0.046296
mean_absolute_error
0.037037
mean_absolute_error
0.064815
mean_absolute_error
0.055556
mean_absolute_error
0.064815
mean_absolute_error
0.046296
mean_absolute_error
0.064815
mean_absolute_error
0.064815
mean_absolute_error
0.064815
mean_absolute_error
0.046296
mean_absolute_error
0.055556
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]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
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 [12,6,7,5,5,2]
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 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [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]
number_of_instances
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]
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]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,7,7,5,5,2]
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 [11,7,7,4,5,2]
number_of_instances
36 [11,6,8,4,5,2]
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]
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 [11,6,7,5,5,2]
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
0.747055 [0.846154,0.555556,1,0,1,1]
precision
0.758836 [0.923077,0.5,1,0,1,1]
precision
0.916667 [0.916667,0.75,1,1,1,0.666667]
precision
0.849631 [0.909091,0.454545,1,1,1,0.4]
precision
0.839511 [0.916667,0.571429,1,1,0.75,0.4]
precision
0.92629 [1,0.545455,1,1,1,1]
precision
0.880631 [1,0.75,1,0.5,1,0.666667]
precision
0.894936 [0.923077,0.714286,1,0.75,1,1]
precision
0.85843 [0.785714,0.666667,1,1,1,0.666667]
precision
0.910702 [0.923077,0.714286,1,1,1,0.666667]
precision
0.921171 [0.916667,0.666667,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.866667 [0.733333,0.666667,1,1,1,1]
precision
0.927755 [0.923077,0.75,1,1,1,1]
precision
0.900901 [0.909091,0.666667,1,1,1,0.666667]
precision
0.878378 [0.9,0.6,1,1,1,0.5]
precision
0.920998 [0.923077,0.666667,1,1,1,1]
precision
0.875953 [0.923077,0.5,1,1,1,0.666667]
precision
0.799228 [0.75,0.428571,1,1,1,0.5]
precision
0.780606 [0.846154,0.571429,1,0.5,1,0.4]
precision
0.900901 [0.909091,0.666667,1,1,1,0.666667]
precision
0.945946 [1,0.666667,1,1,1,1]
precision
0.891892 [1,0.555556,1,1,1,0.333333]
precision
0.935135 [1,0.6,1,1,1,1]
precision
0.889397 [0.846154,0.6,1,1,1,1]
precision
0.876126 [0.916667,0.555556,1,1,0.833333,1]
precision
0.841303 [0.769231,0.555556,1,1,1,0.666667]
precision
0.934685 [0.916667,0.75,1,1,1,1]
precision
0.872587 [0.909091,0.666667,1,1,0.714286,1]
precision
0.873874 [0.909091,0.555556,1,1,1,0.5]
precision
0.832368 [0.857143,0.571429,1,1,0.75,0.666667]
precision
0.92629 [1,0.545455,1,1,1,1]
precision
0.905405 [1,0.75,1,0.75,1,0.5]
precision
0.754262 [0.846154,0.6,1,0,1,1]
precision
0.759009 [0.916667,0.5,1,0,1,1]
precision
0.866424 [0.846154,0.625,1,1,1,0.5]
precision
0.745417 [0.846154,0.545455,1,0,1,1]
precision
0.882239 [0.785714,0.666667,1,1,1,1]
precision
0.791155 [1,0.545455,1,0,1,1]
precision
0.959459 [1,0.75,1,1,1,1]
precision
0.824324 [1,0.5,1,0.5,0.8,1]
precision
0.851351 [0.833333,0.555556,1,1,1,0.5]
precision
0.858108 [0.916667,0.444444,1,1,1,0.5]
precision
0.882239 [0.785714,0.666667,1,1,1,1]
precision
0.881081 [0.8,0.666667,1,1,1,1]
precision
0.896911 [0.857143,0.7,1,1,1,1]
precision
0.785586 [0.733333,0.333333,1,1,1,0.5]
precision
0.900901 [0.909091,0.666667,1,1,1,0.666667]
precision
0.925225 [1,0.7,1,1,1,0.666667]
precision
0.856499 [0.714286,0.75,1,1,1,0.666667]
precision
0.860618 [0.785714,0.6,1,1,1,1]
precision
0.719335 [0.846154,0.384615,1,0,1,1]
precision
0.724153 [1,0.555556,1,0,0.714286,0.666667]
precision
0.899263 [1,0.545455,1,1,1,0.5]
precision
0.878378 [1,0.5,1,1,1,0.25]
precision
0.920998 [0.923077,0.666667,1,1,1,1]
precision
0.819206 [0.916667,0.454545,1,0.5,1,1]
precision
0.883497 [0.916667,0.545455,1,1,1,0.666667]
precision
0.895109 [0.916667,0.714286,1,0.75,1,1]
precision
0.821663 [0.916667,0.545455,1,0.5,1,1]
precision
0.834987 [0.785714,0.625,1,1,1,0.333333]
precision
0.878917 [0.846154,0.666667,1,1,1,0.666667]
precision
0.856481 [0.833333,0.555556,1,1,1,0.666667]
precision
0.831019 [0.916667,0.555556,1,0.5,1,1]
precision
0.916667 [1,0.5,1,1,1,1]
precision
0.918981 [0.916667,0.666667,1,1,1,1]
precision
0.90787 [0.916667,0.6,1,1,1,1]
precision
0.909782 [0.846154,0.777778,1,1,1,1]
precision
0.887037 [0.909091,0.6,1,1,1,0.666667]
precision
0.818519 [0.733333,0.4,1,1,1,1]
precision
0.888889 [1,0.5,1,1,1,0.5]
precision
0.679487 [0.769231,0.5,1,0,1,0.5]
precision
0.740028 [0.846154,0.555556,1,0,1,1]
precision
0.898148 [1,0.5,1,1,1,0.666667]
precision
0.878917 [0.846154,0.555556,1,1,1,1]
precision
0.89914 [0.916667,0.714286,1,1,1,0.5]
precision
0.858796 [0.75,0.833333,1,1,1,0.333333]
precision
0.731481 [0.909091,0.5,1,0,1,0.666667]
precision
0.85119 [0.785714,0.5,1,1,1,1]
precision
0.933333 [1,0.6,1,1,1,1]
precision
0.924242 [1,0.545455,1,1,1,1]
precision
0.878968 [0.785714,0.833333,1,1,1,0.5]
precision
0.924242 [1,0.545455,1,1,1,1]
precision
0.89914 [0.916667,0.714286,1,1,1,0.5]
precision
0.86045 [0.785714,0.555556,1,1,1,1]
precision
0.825758 [0.909091,0.454545,1,1,0.8,0.5]
precision
0.944444 [1,0.666667,1,1,1,1]
precision
0.828704 [0.833333,0.5,1,1,1,0.333333]
precision
0.933862 [1,0.714286,1,1,1,0.666667]
precision
0.90787 [0.916667,0.6,1,1,1,1]
precision
0.906746 [0.833333,0.857143,1,1,1,0.666667]
precision
0.797454 [0.909091,0.625,1,0.5,0.8,0.666667]
precision
0.878968 [0.785714,0.666667,1,1,1,1]
precision
0.852381 [0.733333,0.714286,1,1,1,0.666667]
precision
0.865028 [0.846154,0.833333,1,0.666667,1,0.666667]
precision
0.860399 [0.846154,0.555556,1,1,1,0.666667]
precision
0.862795 [1,0.454545,1,1,0.666667,1]
precision
0.85114 [0.846154,0.5,1,1,1,0.666667]
precision
0.896825 [0.909091,0.714286,1,1,1,0.5]
precision
0.854798 [1,0.545455,1,0.5,1,1]
predictive_accuracy
0.810811
predictive_accuracy
0.810811
predictive_accuracy
0.891892
predictive_accuracy
0.72973
predictive_accuracy
0.783784
predictive_accuracy
0.864865
predictive_accuracy
0.891892
predictive_accuracy
0.891892
predictive_accuracy
0.810811
predictive_accuracy
0.891892
predictive_accuracy
0.891892
predictive_accuracy
0.972973
predictive_accuracy
0.810811
predictive_accuracy
0.918919
predictive_accuracy
0.864865
predictive_accuracy
0.810811
predictive_accuracy
0.891892
predictive_accuracy
0.837838
predictive_accuracy
0.72973
predictive_accuracy
0.756757
predictive_accuracy
0.864865
predictive_accuracy
0.918919
predictive_accuracy
0.837838
predictive_accuracy
0.891892
predictive_accuracy
0.837838
predictive_accuracy
0.837838
predictive_accuracy
0.783784
predictive_accuracy
0.918919
predictive_accuracy
0.837838
predictive_accuracy
0.810811
predictive_accuracy
0.810811
predictive_accuracy
0.864865
predictive_accuracy
0.891892
predictive_accuracy
0.837838
predictive_accuracy
0.810811
predictive_accuracy
0.837838
predictive_accuracy
0.810811
predictive_accuracy
0.837838
predictive_accuracy
0.864865
predictive_accuracy
0.945946
predictive_accuracy
0.810811
predictive_accuracy
0.783784
predictive_accuracy
0.783784
predictive_accuracy
0.837838
predictive_accuracy
0.837838
predictive_accuracy
0.864865
predictive_accuracy
0.702703
predictive_accuracy
0.864865
predictive_accuracy
0.891892
predictive_accuracy
0.810811
predictive_accuracy
0.810811
predictive_accuracy
0.72973
predictive_accuracy
0.783784
predictive_accuracy
0.837838
predictive_accuracy
0.783784
predictive_accuracy
0.891892
predictive_accuracy
0.783784
predictive_accuracy
0.810811
predictive_accuracy
0.891892
predictive_accuracy
0.810811
predictive_accuracy
0.777778
predictive_accuracy
0.861111
predictive_accuracy
0.805556
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
0.888889
predictive_accuracy
0.861111
predictive_accuracy
0.888889
predictive_accuracy
0.833333
predictive_accuracy
0.722222
predictive_accuracy
0.805556
predictive_accuracy
0.722222
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
0.861111
predictive_accuracy
0.777778
predictive_accuracy
0.805556
predictive_accuracy
0.777778
predictive_accuracy
0.888889
predictive_accuracy
0.861111
predictive_accuracy
0.833333
predictive_accuracy
0.861111
predictive_accuracy
0.861111
predictive_accuracy
0.805556
predictive_accuracy
0.75
predictive_accuracy
0.916667
predictive_accuracy
0.722222
predictive_accuracy
0.916667
predictive_accuracy
0.861111
predictive_accuracy
0.888889
predictive_accuracy
0.805556
predictive_accuracy
0.833333
predictive_accuracy
0.805556
predictive_accuracy
0.861111
predictive_accuracy
0.805556
predictive_accuracy
0.805556
predictive_accuracy
0.805556
predictive_accuracy
0.861111
predictive_accuracy
0.833333
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
0.810811 [1,0.833333,1,0,0.833333,1]
recall
0.810811 [1,1,1,0,0.6,1]
recall
0.891892 [1,1,1,0.2,1,1]
recall
0.72973 [0.833333,0.833333,1,0.2,0.4,1]
recall
0.783784 [1,0.666667,0.875,0.4,0.6,1]
recall
0.864865 [1,1,1,0.2,0.8,1]
recall
0.891892 [1,0.857143,1,0.25,1,1]
recall
0.891892 [1,0.833333,1,0.6,0.8,1]
recall
0.810811 [0.916667,1,1,0.4,0.4,1]
recall
0.891892 [1,0.833333,1,0.6,0.8,1]
recall
0.891892 [1,1,1,0.4,0.8,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.810811 [1,1,1,0.2,0.5,1]
recall
0.918919 [1,0.857143,1,0.5,1,1]
recall
0.864865 [0.909091,1,1,0.2,1,1]
recall
0.810811 [0.818182,1,1,0.4,0.6,1]
recall
0.891892 [1,1,1,0.4,0.8,1]
recall
0.837838 [1,0.666667,1,0.2,1,1]
recall
0.72973 [1,0.5,0.857143,0.2,0.6,1]
recall
0.756757 [0.916667,0.666667,0.857143,0.2,0.8,1]
recall
0.864865 [0.909091,1,1,0.2,1,1]
recall
0.918919 [1,1,1,0.4,1,1]
recall
0.837838 [0.916667,0.833333,1,0.6,0.8,0.5]
recall
0.891892 [1,1,1,0.4,1,0.5]
recall
0.837838 [1,1,1,0.2,0.833333,0.5]
recall
0.837838 [1,0.833333,1,0.2,0.833333,1]
recall
0.783784 [0.909091,0.833333,0.857143,0.2,0.833333,1]
recall
0.918919 [1,1,1,0.4,1,1]
recall
0.837838 [0.909091,1,1,0.4,0.833333,0.5]
recall
0.810811 [0.909091,0.833333,1,0.4,0.6,1]
recall
0.810811 [1,0.666667,1,0.4,0.6,1]
recall
0.864865 [1,1,1,0.4,0.8,0.5]
recall
0.891892 [0.916667,1,1,0.75,0.8,0.5]
recall
0.837838 [1,1,1,0,0.8,1]
recall
0.810811 [1,0.833333,1,0,0.833333,1]
recall
0.837838 [1,0.833333,1,0.2,1,0.5]
recall
0.810811 [1,1,1,0,0.666667,1]
recall
0.837838 [1,1,1,0.4,0.4,1]
recall
0.864865 [1,1,1,0,1,1]
recall
0.945946 [1,1,1,0.5,1,1]
recall
0.810811 [1,0.666667,1,0.4,0.8,0.5]
recall
0.783784 [0.909091,0.833333,1,0.2,0.666667,1]
recall
0.783784 [1,0.666667,1,0.2,0.6,1]
recall
0.837838 [1,1,1,0.2,0.666667,1]
recall
0.837838 [1,1,1,0.4,0.4,1]
recall
0.864865 [1,1,1,0.25,0.6,1]
recall
0.702703 [1,0.5,1,0.2,0.4,0.5]
recall
0.864865 [0.909091,1,1,0.2,1,1]
recall
0.891892 [1,1,1,0.4,0.8,1]
recall
0.810811 [0.909091,1,1,0.4,0.5,1]
recall
0.810811 [1,0.857143,1,0.2,0.6,1]
recall
0.72973 [1,0.833333,1,0,0.333333,1]
recall
0.783784 [1,0.714286,0.857143,0,1,1]
recall
0.837838 [0.909091,1,1,0.4,0.833333,0.5]
recall
0.783784 [0.833333,0.833333,1,0.2,1,0.5]
recall
0.891892 [1,1,1,0.2,1,1]
recall
0.783784 [1,0.833333,1,0.2,0.4,1]
recall
0.810811 [1,1,1,0.2,0.5,1]
recall
0.891892 [1,0.833333,1,0.6,0.8,1]
recall
0.810811 [1,0.857143,1,0.2,0.6,1]
recall
0.777778 [1,0.833333,1,0.2,0.6,0.5]
recall
0.861111 [1,0.666667,1,0.4,1,1]
recall
0.805556 [0.909091,0.833333,1,0.2,0.8,1]
recall
0.833333 [1,0.833333,1,0.2,0.8,1]
recall
0.833333 [1,1,1,0.2,0.6,1]
recall
0.888889 [1,1,1,0.4,0.8,1]
recall
0.861111 [1,1,1,0.4,0.8,0.5]
recall
0.888889 [1,1,1,0.5,0.6,1]
recall
0.833333 [0.909091,1,1,0.25,0.6,1]
recall
0.722222 [1,0.666667,1,0.2,0.4,0.5]
recall
0.805556 [0.909091,0.833333,1,0.2,0.8,1]
recall
0.722222 [0.909091,1,1,0,0.4,0.5]
recall
0.833333 [1,0.833333,1,0,1,1]
recall
0.833333 [1,0.833333,1,0.4,0.6,1]
recall
0.833333 [1,0.833333,1,0.4,0.6,1]
recall
0.861111 [1,0.833333,1,0.4,0.8,1]
recall
0.777778 [0.818182,0.833333,1,0.2,0.8,1]
recall
0.805556 [0.909091,0.833333,1,0,1,1]
recall
0.777778 [1,0.833333,1,0.2,0.4,1]
recall
0.888889 [1,1,1,0.2,1,1]
recall
0.861111 [1,1,1,0.2,0.8,1]
recall
0.833333 [1,0.833333,0.857143,0.4,0.8,1]
recall
0.861111 [1,1,1,0.2,0.8,1]
recall
0.861111 [1,0.833333,1,0.4,0.8,1]
recall
0.805556 [1,0.833333,1,0.6,0.2,1]
recall
0.75 [0.909091,0.833333,0.857143,0.2,0.8,0.5]
recall
0.916667 [1,1,1,0.4,1,1]
recall
0.722222 [0.909091,1,0.857143,0.2,0.4,0.5]
recall
0.916667 [1,0.833333,1,0.6,1,1]
recall
0.861111 [1,1,1,0.2,0.8,1]
recall
0.888889 [0.909091,1,1,0.5,0.833333,1]
recall
0.805556 [0.909091,0.714286,1,0.25,0.8,1]
recall
0.833333 [1,1,1,0.4,0.4,1]
recall
0.805556 [1,0.833333,0.857143,0.4,0.6,1]
recall
0.861111 [1,0.714286,1,0.5,0.8,1]
recall
0.805556 [1,0.833333,1,0.4,0.4,1]
recall
0.805556 [1,0.833333,1,0.4,0.4,1]
recall
0.805556 [1,0.666667,1,0.2,0.8,1]
recall
0.861111 [0.909091,0.833333,1,0.4,1,1]
recall
0.833333 [1,1,1,0.2,0.8,0.5]
relative_absolute_error
0.236126
relative_absolute_error
0.237418
relative_absolute_error
0.134929
relative_absolute_error
0.339168
relative_absolute_error
0.270349
relative_absolute_error
0.168968
relative_absolute_error
0.135816
relative_absolute_error
0.135667
relative_absolute_error
0.237418
relative_absolute_error
0.135667
relative_absolute_error
0.135174
relative_absolute_error
0.033917
relative_absolute_error
0.236126
relative_absolute_error
0.101862
relative_absolute_error
0.168968
relative_absolute_error
0.236555
relative_absolute_error
0.135667
relative_absolute_error
0.203501
relative_absolute_error
0.339168
relative_absolute_error
0.305252
relative_absolute_error
0.168968
relative_absolute_error
0.101381
relative_absolute_error
0.203501
relative_absolute_error
0.135174
relative_absolute_error
0.202394
relative_absolute_error
0.202394
relative_absolute_error
0.269859
relative_absolute_error
0.101381
relative_absolute_error
0.202394
relative_absolute_error
0.236555
relative_absolute_error
0.237418
relative_absolute_error
0.168968
relative_absolute_error
0.135952
relative_absolute_error
0.202762
relative_absolute_error
0.236126
relative_absolute_error
0.202394
relative_absolute_error
0.236126
relative_absolute_error
0.202762
relative_absolute_error
0.168662
relative_absolute_error
0.067606
relative_absolute_error
0.237418
relative_absolute_error
0.269859
relative_absolute_error
0.270349
relative_absolute_error
0.202394
relative_absolute_error
0.203501
relative_absolute_error
0.16977
relative_absolute_error
0.37173
relative_absolute_error
0.168662
relative_absolute_error
0.135039
relative_absolute_error
0.236126
relative_absolute_error
0.236319
relative_absolute_error
0.337323
relative_absolute_error
0.270079
relative_absolute_error
0.202394
relative_absolute_error
0.271335
relative_absolute_error
0.135667
relative_absolute_error
0.270349
relative_absolute_error
0.236126
relative_absolute_error
0.135174
relative_absolute_error
0.236319
relative_absolute_error
0.277897
relative_absolute_error
0.173686
relative_absolute_error
0.24316
relative_absolute_error
0.208423
relative_absolute_error
0.208423
relative_absolute_error
0.138949
relative_absolute_error
0.173686
relative_absolute_error
0.139104
relative_absolute_error
0.208871
relative_absolute_error
0.347371
relative_absolute_error
0.24316
relative_absolute_error
0.347371
relative_absolute_error
0.208423
relative_absolute_error
0.208423
relative_absolute_error
0.208423
relative_absolute_error
0.173686
relative_absolute_error
0.277897
relative_absolute_error
0.24316
relative_absolute_error
0.277897
relative_absolute_error
0.138949
relative_absolute_error
0.173686
relative_absolute_error
0.208423
relative_absolute_error
0.173686
relative_absolute_error
0.173686
relative_absolute_error
0.24316
relative_absolute_error
0.312634
relative_absolute_error
0.104211
relative_absolute_error
0.347371
relative_absolute_error
0.104211
relative_absolute_error
0.173686
relative_absolute_error
0.138987
relative_absolute_error
0.243433
relative_absolute_error
0.208423
relative_absolute_error
0.24316
relative_absolute_error
0.173881
relative_absolute_error
0.24316
relative_absolute_error
0.24316
relative_absolute_error
0.24316
relative_absolute_error
0.173686
relative_absolute_error
0.208423
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.362972
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.364968
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.364607
root_mean_prior_squared_error
0.364232
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.364914
root_mean_prior_squared_error
0.364607
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.364607
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_squared_error
0.251124
root_mean_squared_error
0.251124
root_mean_squared_error
0.189832
root_mean_squared_error
0.30015
root_mean_squared_error
0.268462
root_mean_squared_error
0.212238
root_mean_squared_error
0.189832
root_mean_squared_error
0.189832
root_mean_squared_error
0.251124
root_mean_squared_error
0.189832
root_mean_squared_error
0.189832
root_mean_squared_error
0.094916
root_mean_squared_error
0.251124
root_mean_squared_error
0.164399
root_mean_squared_error
0.212238
root_mean_squared_error
0.251124
root_mean_squared_error
0.189832
root_mean_squared_error
0.232495
root_mean_squared_error
0.30015
root_mean_squared_error
0.284747
root_mean_squared_error
0.212238
root_mean_squared_error
0.164399
root_mean_squared_error
0.232495
root_mean_squared_error
0.189832
root_mean_squared_error
0.232495
root_mean_squared_error
0.232495
root_mean_squared_error
0.268462
root_mean_squared_error
0.164399
root_mean_squared_error
0.232495
root_mean_squared_error
0.251124
root_mean_squared_error
0.251124
root_mean_squared_error
0.212238
root_mean_squared_error
0.189832
root_mean_squared_error
0.232495
root_mean_squared_error
0.251124
root_mean_squared_error
0.232495
root_mean_squared_error
0.251124
root_mean_squared_error
0.232495
root_mean_squared_error
0.212238
root_mean_squared_error
0.134231
root_mean_squared_error
0.251124
root_mean_squared_error
0.268462
root_mean_squared_error
0.268462
root_mean_squared_error
0.232495
root_mean_squared_error
0.232495
root_mean_squared_error
0.212238
root_mean_squared_error
0.3148
root_mean_squared_error
0.212238
root_mean_squared_error
0.189832
root_mean_squared_error
0.251124
root_mean_squared_error
0.251124
root_mean_squared_error
0.30015
root_mean_squared_error
0.268462
root_mean_squared_error
0.232495
root_mean_squared_error
0.268462
root_mean_squared_error
0.189832
root_mean_squared_error
0.268462
root_mean_squared_error
0.251124
root_mean_squared_error
0.189832
root_mean_squared_error
0.251124
root_mean_squared_error
0.272166
root_mean_squared_error
0.215166
root_mean_squared_error
0.254588
root_mean_squared_error
0.235702
root_mean_squared_error
0.235702
root_mean_squared_error
0.19245
root_mean_squared_error
0.215166
root_mean_squared_error
0.19245
root_mean_squared_error
0.235702
root_mean_squared_error
0.30429
root_mean_squared_error
0.254588
root_mean_squared_error
0.30429
root_mean_squared_error
0.235702
root_mean_squared_error
0.235702
root_mean_squared_error
0.235702
root_mean_squared_error
0.215166
root_mean_squared_error
0.272166
root_mean_squared_error
0.254588
root_mean_squared_error
0.272166
root_mean_squared_error
0.19245
root_mean_squared_error
0.215166
root_mean_squared_error
0.235702
root_mean_squared_error
0.215166
root_mean_squared_error
0.215166
root_mean_squared_error
0.254588
root_mean_squared_error
0.288675
root_mean_squared_error
0.166667
root_mean_squared_error
0.30429
root_mean_squared_error
0.166667
root_mean_squared_error
0.215166
root_mean_squared_error
0.19245
root_mean_squared_error
0.254588
root_mean_squared_error
0.235702
root_mean_squared_error
0.254588
root_mean_squared_error
0.215166
root_mean_squared_error
0.254588
root_mean_squared_error
0.254588
root_mean_squared_error
0.254588
root_mean_squared_error
0.215166
root_mean_squared_error
0.235702
root_relative_squared_error
0.686636
root_relative_squared_error
0.690397
root_relative_squared_error
0.519048
root_relative_squared_error
0.825182
root_relative_squared_error
0.735378
root_relative_squared_error
0.581367
root_relative_squared_error
0.522465
root_relative_squared_error
0.521891
root_relative_squared_error
0.690397
root_relative_squared_error
0.521891
root_relative_squared_error
0.519991
root_relative_squared_error
0.260945
root_relative_squared_error
0.686636
root_relative_squared_error
0.452468
root_relative_squared_error
0.581367
root_relative_squared_error
0.687883
root_relative_squared_error
0.521891
root_relative_squared_error
0.639183
root_relative_squared_error
0.825182
root_relative_squared_error
0.782836
root_relative_squared_error
0.581367
root_relative_squared_error
0.450325
root_relative_squared_error
0.639183
root_relative_squared_error
0.519991
root_relative_squared_error
0.635702
root_relative_squared_error
0.635702
root_relative_squared_error
0.734045
root_relative_squared_error
0.450325
root_relative_squared_error
0.635702
root_relative_squared_error
0.687883
root_relative_squared_error
0.690397
root_relative_squared_error
0.581367
root_relative_squared_error
0.522993
root_relative_squared_error
0.636856
root_relative_squared_error
0.686636
root_relative_squared_error
0.635702
root_relative_squared_error
0.686636
root_relative_squared_error
0.636856
root_relative_squared_error
0.580314
root_relative_squared_error
0.367789
root_relative_squared_error
0.690397
root_relative_squared_error
0.734045
root_relative_squared_error
0.735378
root_relative_squared_error
0.635702
root_relative_squared_error
0.639183
root_relative_squared_error
0.584134
root_relative_squared_error
0.862307
root_relative_squared_error
0.580314
root_relative_squared_error
0.519472
root_relative_squared_error
0.686636
root_relative_squared_error
0.687197
root_relative_squared_error
0.820687
root_relative_squared_error
0.734644
root_relative_squared_error
0.635702
root_relative_squared_error
0.738065
root_relative_squared_error
0.521891
root_relative_squared_error
0.735378
root_relative_squared_error
0.686636
root_relative_squared_error
0.519991
root_relative_squared_error
0.687197
root_relative_squared_error
0.745625
root_relative_squared_error
0.589468
root_relative_squared_error
0.697468
root_relative_squared_error
0.64573
root_relative_squared_error
0.64573
root_relative_squared_error
0.527236
root_relative_squared_error
0.589468
root_relative_squared_error
0.527828
root_relative_squared_error
0.647122
root_relative_squared_error
0.833634
root_relative_squared_error
0.697468
root_relative_squared_error
0.833634
root_relative_squared_error
0.64573
root_relative_squared_error
0.64573
root_relative_squared_error
0.64573
root_relative_squared_error
0.589468
root_relative_squared_error
0.745625
root_relative_squared_error
0.697468
root_relative_squared_error
0.745625
root_relative_squared_error
0.527236
root_relative_squared_error
0.589468
root_relative_squared_error
0.64573
root_relative_squared_error
0.589468
root_relative_squared_error
0.589468
root_relative_squared_error
0.697468
root_relative_squared_error
0.790855
root_relative_squared_error
0.4566
root_relative_squared_error
0.833634
root_relative_squared_error
0.4566
root_relative_squared_error
0.589468
root_relative_squared_error
0.527384
root_relative_squared_error
0.698251
root_relative_squared_error
0.64573
root_relative_squared_error
0.697468
root_relative_squared_error
0.59013
root_relative_squared_error
0.697468
root_relative_squared_error
0.697468
root_relative_squared_error
0.697468
root_relative_squared_error
0.589468
root_relative_squared_error
0.64573
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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