390692
2
Joaquin Vanschoren
1889
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
1363824
description
https://api.openml.org/data/download/1363824/weka_generated_run7990111354001330621.xml
-1
1363827
model_readable
https://api.openml.org/data/download/1363827/WekaModel_weka.classifiers.meta.Bagging1719117981767294415.model
-1
1363826
model_serialized
https://api.openml.org/data/download/1363826/WekaSerialized_weka.classifiers.meta.Bagging5470273031664686947.model
-1
1363825
predictions
https://api.openml.org/data/download/1363825/weka_generated_predictions9149037187915615129.arff
area_under_roc_curve
0.852758 [0.0,1,0.896051,0.893412,0.808239,0.820208,0.827856]
average_cost
0
f_measure
0.648758 [0,0,0.751592,0.752547,0.626786,0.515528,0.581345]
kappa
0.549366
kb_relative_information_score
1047.929588
mean_absolute_error
0.13453
mean_prior_absolute_error
0.220919
number_of_instances
2050 [0,30,220,670,540,320,270]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.647482 [0,0,0.705179,0.734375,0.605172,0.512346,0.701571]
predictive_accuracy
0.656098
prior_entropy
2.326811
recall
0.656098 [0,0,0.804545,0.771642,0.65,0.51875,0.496296]
relative_absolute_error
0.608954
root_mean_prior_squared_error
0.331758
root_mean_squared_error
0.267023
root_relative_squared_error
0.804872
scimark_benchmark
946.930411 [537.8478641955553, 1012.3219999497024, 518.9665640553163, 908.3298941433044, 1757.1857345400422]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
10
usercpu_time_millis_training
10
area_under_roc_curve
0.895715 [0.0,0.0,0.768519,0.897959,0.84375,1,1]
area_under_roc_curve
0.907901 [0.0,1,0.921053,0.979592,0.727778,1,1]
area_under_roc_curve
0.73241 [0.0,0.0,0.631579,0.918367,0.633333,0.796296,0.5]
area_under_roc_curve
0.912935 [0.0,0.0,1,0.918367,0.9375,0.722222,0.962963]
area_under_roc_curve
0.909618 [0.0,0.0,0.986842,0.938776,0.788889,0.955882,1]
area_under_roc_curve
0.79093 [0.0,0.0,1,0.841837,0.688889,0.944444,0.583333]
area_under_roc_curve
0.894271 [0.0,0.0,1,0.94898,0.9,0.666667,0.868421]
area_under_roc_curve
0.845828 [0.0,0.0,1,0.969388,0.738889,0.727941,0.815789]
area_under_roc_curve
0.926817 [0.0,0.0,0.684211,1,0.866667,1,0.947368]
area_under_roc_curve
0.727627 [0.0,0.0,1,0.719388,0.688889,0.37037,1]
area_under_roc_curve
0.830688 [0.0,0.0,1,1,0.722222,0.898148,0.472222]
area_under_roc_curve
0.898691 [0.0,1,0.947368,0.944444,0.811111,0.851852,0.962963]
area_under_roc_curve
0.806576 [0.0,0.0,1,0.72449,0.755556,0.805556,0.972222]
area_under_roc_curve
0.826365 [0.0,0.0,0.75,0.836735,0.74375,0.935185,0.907407]
area_under_roc_curve
0.831188 [0.0,0.0,0.787037,1,0.7875,0.558824,0.960526]
area_under_roc_curve
0.773885 [0.0,0.0,1,0.979592,0.755556,0.25,0.703704]
area_under_roc_curve
0.797376 [0.0,0.0,1,0.822222,0.877778,0.794118,0.184211]
area_under_roc_curve
0.838662 [0.0,0.0,0.644737,0.836735,0.7375,1,0.925926]
area_under_roc_curve
0.875506 [0.0,0.0,1,0.855556,0.894444,0.735294,0.981481]
area_under_roc_curve
0.905556 [0.0,0.0,1,1,0.905556,0.527778,1]
area_under_roc_curve
0.920158 [0.0,1,0.973684,0.918367,0.916667,0.833333,0.973684]
area_under_roc_curve
0.903133 [0.0,1,0.907895,1,0.844444,1,0.694444]
area_under_roc_curve
0.944917 [0.0,1,1,0.908163,0.975,0.962963,0.907407]
area_under_roc_curve
0.877409 [0.0,1,1,0.938776,0.8375,0.574074,0.981481]
area_under_roc_curve
0.81209 [0.0,1,0.666667,0.72449,1,0.888889,0.657895]
area_under_roc_curve
0.803847 [0.0,1,0.631579,0.867347,0.788889,0.814815,0.684211]
area_under_roc_curve
0.917421 [0.0,1,1,0.822222,0.966667,0.889706,0.986842]
area_under_roc_curve
0.881845 [0.0,1,0.947368,0.959184,0.9375,0.657407,0.75]
area_under_roc_curve
0.896839 [0.0,1,0.947368,0.977778,0.822222,1,0.712963]
area_under_roc_curve
0.876483 [0.0,1,1,0.892857,0.894444,1,0.394737]
area_under_roc_curve
0.920625 [0.0,1,1,0.938776,0.944444,0.768519,0.894737]
area_under_roc_curve
0.77103 [0.0,0.0,0.684211,0.861111,0.733333,0.779412,0.712963]
area_under_roc_curve
0.857866 [0.0,1,0.657895,0.918367,0.7875,0.87037,0.907407]
area_under_roc_curve
0.949735 [0.0,1,1,1,0.9,0.972222,0.842593]
area_under_roc_curve
0.823058 [0.0,1,1,0.979592,0.81875,0.574074,0.537037]
area_under_roc_curve
0.710763 [0.0,1,0.925926,0.77551,0.4375,0.87037,0.460526]
area_under_roc_curve
0.74851 [0.0,1,0.631579,0.933333,0.522222,0.925926,0.648148]
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
0.871827 [0.0,0.0,1,0.903061,0.8,0.941176,0.740741]
area_under_roc_curve
0.885532 [0.0,1,0.981481,0.943878,0.775,0.740741,0.973684]
area_under_roc_curve
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area_under_roc_curve
0.895099 [0.0,1,0.973684,0.959184,0.79375,0.796296,0.925926]
area_under_roc_curve
0.915483 [0.0,1,0.759259,1,0.8,1,0.973684]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.904901 [0.0,1,0.973684,1,0.9,0.657407,0.861111]
area_under_roc_curve
0.914678 [0.0,1,1,0.908163,0.89375,0.845588,1]
area_under_roc_curve
0.841643 [0.0,0.0,0.902778,0.901099,0.773333,0.803922,0.813725]
area_under_roc_curve
0.81371 [0.0,0.0,1,0.730769,0.82,0.921569,0.764706]
area_under_roc_curve
0.860329 [0.0,0.0,1,0.89011,0.653333,0.921569,0.972222]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.902658 [0.0,0.0,1,0.879121,0.866667,0.898438,0.986111]
area_under_roc_curve
0.933613 [0.0,0.0,1,0.97619,0.880952,0.901961,0.941176]
area_under_roc_curve
0.929849 [0.0,0.0,1,0.879121,0.953333,0.892157,1]
area_under_roc_curve
0.839062 [0.0,0.0,0.972222,0.917582,0.953333,0.5,0.715686]
area_under_roc_curve
0.777926 [0.0,0.0,1,0.945055,0.553333,0.72549,0.666667]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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f_measure
0.50525 [0,0,0.666667,0.615385,0.461538,0.4,0.5]
f_measure
0.569161 [0,0,0.666667,0.714286,0.666667,0.571429,0]
f_measure
0.690703 [0,0,0.857143,0.857143,0.666667,0.333333,0.8]
f_measure
0.587807 [0,0,0.8,0.769231,0.571429,0.4,0.5]
f_measure
0.588095 [0,0,0.8,0.75,0.6,0.333333,0.5]
f_measure
0.74195 [0,0,0.571429,0.933333,0.666667,0.8,0.8]
f_measure
0.562352 [0,0,0.4,0.545455,0.615385,0.571429,0.8]
f_measure
0.592744 [0,0,0,0.714286,0.666667,0.571429,0.8]
f_measure
0.742857 [0,0,0.8,1,0.8,0.5,0.5]
f_measure
0.646176 [0,0,0.666667,0.6,0.727273,0.6,1]
f_measure
0.605594 [0,0,0.5,0.769231,0.545455,0.333333,0.666667]
f_measure
0.638846 [0,0,1,0.6,0.615385,0.666667,0.5]
f_measure
0.641602 [0,0,0.857143,0.714286,0.545455,0.4,0.666667]
f_measure
0.605714 [0,0,0.5,0.5,0.666667,0.571429,0.8]
f_measure
0.649744 [0,0,0.666667,0.923077,0.4,0.666667,0.4]
f_measure
0.711667 [0,0,0.666667,0.714286,0.8,0.5,0.8]
f_measure
0.653611 [0,0,0.8,1,0.444444,0.75,0]
f_measure
0.621612 [0,0,1,0.769231,0.666667,0.571429,0]
f_measure
0.606667 [0,0,0.666667,0.8,0.8,0.4,0]
f_measure
0.590584 [0,0,0,0.909091,0.5,0.75,0.285714]
f_measure
0.469444 [0,0,1,0.428571,0.444444,0.222222,0.5]
f_measure
0.69 [0,0,1,0.8,0.8,0.333333,0.4]
f_measure
0.635 [0,0,1,0.714286,0.5,0.4,0.8]
f_measure
0.738571 [0,0,1,0.833333,0.666667,0.4,0.857143]
f_measure
0.639318 [0,0,0,0.714286,0.75,0.545455,0.8]
f_measure
0.787273 [0,0,0.8,0.857143,0.909091,0.4,0.8]
f_measure
0.609957 [0,0,1,0.666667,0.363636,0.571429,0.666667]
f_measure
0.549605 [0,0,0.8,0.615385,0.545455,0.285714,0.5]
f_measure
0.754744 [0,0,0.666667,0.923077,0.8,0.6,0.5]
f_measure
0.636786 [0,0,0.5,0.714286,0.75,0.666667,0.4]
f_measure
0.767489 [0,0,0.666667,0.909091,0.666667,0.857143,0.6]
f_measure
0.575556 [0,0,0.8,0.444444,0.6,0.6,0.666667]
f_measure
0.687587 [0,0,1,0.769231,0.727273,0.5,0.5]
f_measure
0.714815 [0,0,0.8,0.769231,0.909091,0.285714,0.5]
f_measure
0.455 [0,0,1,0.4,0.333333,0.4,0.5]
f_measure
0.845238 [0,0,1,0.857143,0.666667,0.857143,1]
f_measure
0.651667 [0,0,0.4,0.714286,0.666667,0.5,0.8]
f_measure
0.639048 [0,0,1,0.666667,0.444444,0.571429,0.8]
f_measure
0.526667 [0,0,0.666667,0.666667,0.666667,0.4,0]
f_measure
0.748571 [0,0,0.857143,0.833333,0.6,0.666667,0.8]
f_measure
0.587912 [0,0,1,0.769231,0.5,0.285714,0.5]
f_measure
0.533235 [0,0,0.8,0.823529,0.5,0,0]
f_measure
0.4575 [0,0,0,0.4,0.625,0.5,0.5]
f_measure
0.850855 [0,0,1,0.923077,0.8,0.888889,0.5]
f_measure
0.840733 [0,0,0.666667,0.857143,0.923077,0.8,0.8]
f_measure
0.746883 [0,0,0.8,0.545455,0.727273,0.857143,1]
f_measure
0.896667 [0,0,1,0.933333,1,0.666667,0.8]
f_measure
0.796753 [0,0,0.8,0.833333,0.727273,0.857143,0.8]
f_measure
0.736905 [0,0,0.857143,0.666667,0.5,1,1]
f_measure
0.805952 [0,0,1,0.833333,0.8,0.571429,0.857143]
f_measure
0.55 [0,0,0.5,0.666667,0.5,0.333333,0.666667]
f_measure
0.694048 [0,0,0.5,0.857143,0.666667,0.571429,0.666667]
f_measure
0.562143 [0,0,0.8,0.857143,0.5,0,0.5]
f_measure
0.511825 [0,0,0.666667,0.823529,0.307692,0.4,0]
f_measure
0.64 [0,0,1,0.666667,0.6,0.666667,0.4]
f_measure
0.558901 [0,0,1,0.615385,0.714286,0,0.4]
f_measure
0.695 [0,0,1,0.666667,0.666667,0.5,0.8]
f_measure
0.694286 [0,0,0.857143,0.6,0.833333,0.571429,0.5]
f_measure
0.691364 [0,0,1,0.8,0.545455,0.5,0.5]
f_measure
0.422059 [0,0,0.5,0.705882,0.5,0,0]
kappa
0.5625
kappa
0.508772
kappa
0.380531
kappa
0.625
kappa
0.611111
kappa
0.430723
kappa
0.673913
kappa
0.615854
kappa
0.804348
kappa
0.544892
kappa
0.471698
kappa
0.692982
kappa
0.490909
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0.371257
kappa
0.627219
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0.373134
kappa
0.444118
kappa
0.498507
kappa
0.567647
kappa
0.806154
kappa
0.490909
kappa
0.819484
kappa
0.582386
kappa
0.504425
kappa
0.641026
kappa
0.192308
kappa
0.692082
kappa
0.501484
kappa
0.633721
kappa
0.568915
kappa
0.629412
kappa
0.420245
kappa
0.447368
kappa
0.571429
kappa
0.497006
kappa
0.297872
kappa
0.310448
kappa
0.432432
kappa
0.453757
kappa
0.689349
kappa
0.380531
kappa
0.501484
kappa
0.634783
kappa
0.5
kappa
0.498507
kappa
0.692082
kappa
0.458453
kappa
0.501484
kappa
0.693878
kappa
0.584746
kappa
0.477124
kappa
0.55414
kappa
0.534884
kappa
0.477124
kappa
0.543974
kappa
0.60396
kappa
0.609121
kappa
0.539474
kappa
0.536424
kappa
0.478827
kappa
0.281046
kappa
0.6
kappa
0.536424
kappa
0.673203
kappa
0.542484
kappa
0.735974
kappa
0.483871
kappa
0.413681
kappa
0.674267
kappa
0.548387
kappa
0.68254
kappa
0.507692
kappa
0.606557
kappa
0.607843
kappa
0.259259
kappa
0.80456
kappa
0.534884
kappa
0.542484
kappa
0.413681
kappa
0.679487
kappa
0.473684
kappa
0.440559
kappa
0.271523
kappa
0.803279
kappa
0.797297
kappa
0.680511
kappa
0.866667
kappa
0.741935
kappa
0.671053
kappa
0.74359
kappa
0.415584
kappa
0.598662
kappa
0.468439
kappa
0.366197
kappa
0.551282
kappa
0.461279
kappa
0.594595
kappa
0.615385
kappa
0.597315
kappa
0.305556
kb_relative_information_score
11.801616
kb_relative_information_score
11.70583
kb_relative_information_score
6.958435
kb_relative_information_score
11.967495
kb_relative_information_score
11.407638
kb_relative_information_score
8.792448
kb_relative_information_score
10.826907
kb_relative_information_score
10.097103
kb_relative_information_score
11.256499
kb_relative_information_score
9.323085
kb_relative_information_score
8.486693
kb_relative_information_score
11.33384
kb_relative_information_score
9.444404
kb_relative_information_score
9.278789
kb_relative_information_score
10.34672
kb_relative_information_score
8.405113
kb_relative_information_score
8.908776
kb_relative_information_score
9.393753
kb_relative_information_score
10.802051
kb_relative_information_score
12.06827
kb_relative_information_score
12.08259
kb_relative_information_score
12.29814
kb_relative_information_score
13.205088
kb_relative_information_score
10.995685
kb_relative_information_score
12.642076
kb_relative_information_score
8.619711
kb_relative_information_score
12.91553
kb_relative_information_score
11.813176
kb_relative_information_score
13.333046
kb_relative_information_score
11.531011
kb_relative_information_score
13.332641
kb_relative_information_score
7.812612
kb_relative_information_score
11.611222
kb_relative_information_score
12.935604
kb_relative_information_score
11.427592
kb_relative_information_score
8.239917
kb_relative_information_score
9.235597
kb_relative_information_score
10.200486
kb_relative_information_score
10.677511
kb_relative_information_score
14.240497
kb_relative_information_score
9.182383
kb_relative_information_score
10.464783
kb_relative_information_score
13.513495
kb_relative_information_score
12.532575
kb_relative_information_score
11.31453
kb_relative_information_score
12.704196
kb_relative_information_score
11.209687
kb_relative_information_score
10.917696
kb_relative_information_score
12.640304
kb_relative_information_score
12.114599
kb_relative_information_score
8.259258
kb_relative_information_score
8.601519
kb_relative_information_score
10.607127
kb_relative_information_score
8.741125
kb_relative_information_score
8.800589
kb_relative_information_score
9.779169
kb_relative_information_score
11.886844
kb_relative_information_score
10.27591
kb_relative_information_score
9.178918
kb_relative_information_score
8.099244
kb_relative_information_score
6.267857
kb_relative_information_score
10.54186
kb_relative_information_score
11.420542
kb_relative_information_score
11.608952
kb_relative_information_score
10.773714
kb_relative_information_score
10.790443
kb_relative_information_score
8.933886
kb_relative_information_score
7.790725
kb_relative_information_score
10.217965
kb_relative_information_score
11.23635
kb_relative_information_score
11.915239
kb_relative_information_score
9.684166
kb_relative_information_score
10.828287
kb_relative_information_score
9.416875
kb_relative_information_score
7.090775
kb_relative_information_score
11.622817
kb_relative_information_score
9.384244
kb_relative_information_score
9.698218
kb_relative_information_score
8.67215
kb_relative_information_score
10.541164
kb_relative_information_score
10.321245
kb_relative_information_score
9.393141
kb_relative_information_score
6.389478
kb_relative_information_score
12.210476
kb_relative_information_score
12.541995
kb_relative_information_score
11.194726
kb_relative_information_score
11.87318
kb_relative_information_score
11.758408
kb_relative_information_score
11.265642
kb_relative_information_score
12.478443
kb_relative_information_score
9.938715
kb_relative_information_score
10.183121
kb_relative_information_score
9.413657
kb_relative_information_score
7.159215
kb_relative_information_score
10.774372
kb_relative_information_score
8.814546
kb_relative_information_score
11.981819
kb_relative_information_score
11.363976
kb_relative_information_score
10.580283
kb_relative_information_score
7.277767
mean_absolute_error
0.120336
mean_absolute_error
0.137565
mean_absolute_error
0.163275
mean_absolute_error
0.121104
mean_absolute_error
0.115763
mean_absolute_error
0.152522
mean_absolute_error
0.12213
mean_absolute_error
0.13156
mean_absolute_error
0.120036
mean_absolute_error
0.142614
mean_absolute_error
0.148991
mean_absolute_error
0.143581
mean_absolute_error
0.143453
mean_absolute_error
0.141826
mean_absolute_error
0.134537
mean_absolute_error
0.142447
mean_absolute_error
0.161397
mean_absolute_error
0.148807
mean_absolute_error
0.132444
mean_absolute_error
0.114299
mean_absolute_error
0.126701
mean_absolute_error
0.139509
mean_absolute_error
0.12141
mean_absolute_error
0.141098
mean_absolute_error
0.125802
mean_absolute_error
0.161412
mean_absolute_error
0.13151
mean_absolute_error
0.130206
mean_absolute_error
0.121832
mean_absolute_error
0.134601
mean_absolute_error
0.112054
mean_absolute_error
0.161414
mean_absolute_error
0.127984
mean_absolute_error
0.122849
mean_absolute_error
0.12545
mean_absolute_error
0.174808
mean_absolute_error
0.157378
mean_absolute_error
0.153793
mean_absolute_error
0.15295
mean_absolute_error
0.096709
mean_absolute_error
0.16014
mean_absolute_error
0.132009
mean_absolute_error
0.117749
mean_absolute_error
0.129875
mean_absolute_error
0.141542
mean_absolute_error
0.127593
mean_absolute_error
0.143085
mean_absolute_error
0.143765
mean_absolute_error
0.124784
mean_absolute_error
0.136318
mean_absolute_error
0.152687
mean_absolute_error
0.152281
mean_absolute_error
0.126382
mean_absolute_error
0.145535
mean_absolute_error
0.140174
mean_absolute_error
0.132109
mean_absolute_error
0.111716
mean_absolute_error
0.123428
mean_absolute_error
0.128141
mean_absolute_error
0.149105
mean_absolute_error
0.175385
mean_absolute_error
0.122954
mean_absolute_error
0.121776
mean_absolute_error
0.11838
mean_absolute_error
0.13087
mean_absolute_error
0.122335
mean_absolute_error
0.145331
mean_absolute_error
0.158263
mean_absolute_error
0.135245
mean_absolute_error
0.126684
mean_absolute_error
0.115829
mean_absolute_error
0.141043
mean_absolute_error
0.123885
mean_absolute_error
0.137738
mean_absolute_error
0.164906
mean_absolute_error
0.122941
mean_absolute_error
0.131194
mean_absolute_error
0.146184
mean_absolute_error
0.138799
mean_absolute_error
0.13537
mean_absolute_error
0.131003
mean_absolute_error
0.134115
mean_absolute_error
0.167199
mean_absolute_error
0.104864
mean_absolute_error
0.09982
mean_absolute_error
0.131539
mean_absolute_error
0.110646
mean_absolute_error
0.112827
mean_absolute_error
0.126651
mean_absolute_error
0.107733
mean_absolute_error
0.134581
mean_absolute_error
0.128108
mean_absolute_error
0.137327
mean_absolute_error
0.15688
mean_absolute_error
0.129851
mean_absolute_error
0.140936
mean_absolute_error
0.105147
mean_absolute_error
0.120122
mean_absolute_error
0.132753
mean_absolute_error
0.144746
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.218971
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.219612
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.221024
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221859
mean_prior_absolute_error
0.220703
mean_prior_absolute_error
0.221538
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
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mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.223078
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.221538
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220703
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222244
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.217857
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220889
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220889
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.219677
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,7,6,3,2]
number_of_instances
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,0,3,7,5,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,6,6,4,2]
number_of_instances
21 [0,0,2,7,5,4,3]
number_of_instances
21 [0,0,2,6,6,4,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,6,6,4,2]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,0,2,6,6,4,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,0,2,7,5,4,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,4,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,6,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,6,3,2]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,6,3,2]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
precision
0.732993 [0,0,1,0.714286,0.428571,1,0.75]
precision
0.630952 [0,0,0.5,0.75,0.5,1,0.5]
precision
0.567687 [0,0,0.5,0.8,0.428571,0.666667,0.25]
precision
0.731293 [0,0,1,0.714286,0.571429,0.5,1]
precision
0.640212 [0,0,0.666667,0.777778,0.666667,0.666667,0]
precision
0.638889 [0,0,1,0.666667,0.375,0.5,1]
precision
0.701436 [0,0,1,0.777778,0.714286,0,1]
precision
0.740212 [0,0,1,0.777778,0.75,0.4,1]
precision
0.904762 [0,0,1,1,0.666667,1,1]
precision
0.586546 [0,0,1,0.555556,0.571429,0,1]
precision
0.563265 [0,0,1,0.7,0.571429,0.5,0]
precision
0.777778 [0,0,0.666667,0.666667,1,0.666667,1]
precision
0.705628 [0,0,1,0.545455,1,0.333333,0.666667]
precision
0.571429 [0,0,0.5,0.5,0.5,0.5,1]
precision
0.755102 [0,0,1,1,0.571429,0.5,0.5]
precision
0.531179 [0,0,1,0.833333,0.428571,0,0.25]
precision
0.557143 [0,0,1,0.6,0.6,0.375,0]
precision
0.708995 [0,0,1,0.666667,0.444444,1,0.666667]
precision
0.730159 [0,0,1,0.555556,1,0.5,0.666667]
precision
0.761905 [0,0,1,1,0.666667,0,1]
precision
0.681818 [0,0,0.5,0.545455,1,0.5,1]
precision
0.857143 [0,0,0.5,1,1,1,0.666667]
precision
0.671429 [0,0,0.5,0.8,0.8,0.5,0.666667]
precision
0.53288 [0,0,0.666667,0.714286,0.571429,0,0.666667]
precision
0.769841 [0,0,0.4,1,0.833333,0.6,1]
precision
0.37619 [0,0,0.5,0.571429,0.4,0.166667,0]
precision
0.749206 [0,0,0.666667,0.833333,0.833333,0.6,1]
precision
0.630952 [0,0,0.333333,0.75,0.666667,0.333333,1]
precision
0.704762 [0,0,0.5,0.75,0.75,0.6,1]
precision
0.714286 [0,0,0.5,1,0.666667,1,0]
precision
0.619048 [0,0,0.5,0.857143,0.833333,0,0.5]
precision
0.679654 [0,0,1,0.545455,0.333333,1,1]
precision
0.610582 [0,0,0.5,0.8,0.444444,0.333333,1]
precision
0.69418 [0,0,0.666667,0.777778,1,0.6,0.333333]
precision
0.458333 [0,0,0.5,0.875,0.5,0,0]
precision
0.459452 [0,0,0.6,0.454545,0.333333,1,0]
precision
0.380952 [0,0,0.5,0.666667,0.333333,0.333333,0]
precision
0.463492 [0,0,0.666667,0.7,0.5,0.333333,0]
precision
0.587302 [0,0,0.5,0.555556,0.666667,0.333333,1]
precision
0.793254 [0,0,0.666667,0.875,1,0.4,1]
precision
0.511338 [0,0,0.5,0.666667,0.428571,0.5,0.5]
precision
0.548753 [0,0,0.5,0.714286,0.571429,0.666667,0]
precision
0.68254 [0,0,0.75,0.857143,0.75,0.333333,0.666667]
precision
0.624717 [0,0,0.666667,0.714286,0.5,0.5,1]
precision
0.619048 [0,0,0.666667,0.666667,0.6,0.333333,1]
precision
0.748016 [0,0,0.5,0.875,0.75,1,0.666667]
precision
0.615079 [0,0,0.333333,0.75,0.5,0.5,1]
precision
0.588435 [0,0,0,0.714286,0.571429,0.5,1]
precision
0.787302 [0,0,0.666667,1,0.8,0.4,1]
precision
0.730159 [0,0,0.5,1,0.666667,0.5,1]
precision
0.616667 [0,0,0.5,0.833333,0.5,0.333333,0.666667]
precision
0.8 [0,0,1,1,0.5,0.5,1]
precision
0.6625 [0,0,0.75,0.714286,0.5,0.5,1]
precision
0.625 [0,0,0.5,0.5,0.666667,0.5,1]
precision
0.7 [0,0,1,1,0.4,0.5,0.5]
precision
0.76 [0,0,1,0.714286,0.8,0.4,1]
precision
0.631667 [0,0,0.666667,1,0.5,0.6,0]
precision
0.609524 [0,0,1,0.833333,0.571429,0.5,0]
precision
0.5875 [0,0,0.5,0.75,0.8,0.5,0]
precision
0.594643 [0,0,0,1,0.428571,0.75,0.25]
precision
0.55 [0,0,1,0.428571,0.5,0.166667,1]
precision
0.6875 [0,0,1,0.75,0.8,0.333333,0.5]
precision
0.72381 [0,0,1,0.714286,0.428571,1,0.666667]
precision
0.7375 [0,0,1,0.833333,0.666667,0.5,0.75]
precision
0.70625 [0,0,0,0.714286,1,0.375,1]
precision
0.8 [0,0,0.666667,0.857143,0.833333,0.5,1]
precision
0.638333 [0,0,1,0.8,0.333333,0.5,0.666667]
precision
0.6125 [0,0,0.666667,0.666667,0.5,0.25,1]
precision
0.864286 [0,0,1,1,0.8,0.428571,1]
precision
0.7375 [0,0,1,0.625,1,0.5,0.5]
precision
0.851786 [0,0,1,1,0.75,1,0.428571]
precision
0.730952 [0,0,0.666667,1,0.6,0.428571,0.666667]
precision
0.730952 [0,0,1,0.714286,0.666667,0.5,1]
precision
0.745833 [0,0,0.666667,0.833333,1,0.25,0.5]
precision
0.525 [0,0,1,0.333333,0.333333,0.5,1]
precision
0.8625 [0,0,1,0.75,0.75,1,1]
precision
0.72619 [0,0,0.333333,0.714286,0.571429,1,1]
precision
0.691667 [0,0,1,0.555556,0.666667,0.5,1]
precision
0.565714 [0,0,1,0.8,0.571429,0.285714,0]
precision
0.7625 [0,0,0.75,0.833333,0.6,0.666667,1]
precision
0.638095 [0,0,1,0.714286,0.428571,0.333333,1]
precision
0.502143 [0,0,1,0.7,0.428571,0,0]
precision
0.6 [0,0,0,0.5,0.5,1,1]
precision
0.86 [0,0,1,1,0.8,0.8,0.5]
precision
0.882143 [0,0,1,0.75,0.857143,1,1]
precision
0.763333 [0,0,0.666667,0.6,0.666667,1,1]
precision
0.90625 [0,0,1,0.875,1,0.666667,1]
precision
0.819167 [0,0,1,0.833333,0.8,0.75,0.666667]
precision
0.747917 [0,0,0.75,0.625,0.666667,1,1]
precision
0.8375 [0,0,1,1,0.8,0.5,0.75]
precision
0.607143 [0,0,1,0.666667,0.428571,0.333333,0.666667]
precision
0.767857 [0,0,1,0.857143,0.571429,0.5,1]
precision
0.591667 [0,0,0.666667,0.75,0.5,0,1]
precision
0.6075 [0,0,1,0.7,0.25,1,0]
precision
0.675 [0,0,1,0.666667,0.75,0.5,0.5]
precision
0.533929 [0,0,1,0.571429,0.625,0,0.5]
precision
0.761607 [0,0,1,0.625,0.571429,1,1]
precision
0.7125 [0,0,0.75,0.75,0.833333,0.5,0.5]
precision
0.7375 [0,0,1,0.75,0.5,1,0.5]
precision
0.367143 [0,0,0.5,0.6,0.428571,0,0]
predictive_accuracy
0.666667
predictive_accuracy
0.619048
predictive_accuracy
0.52381
predictive_accuracy
0.714286
predictive_accuracy
0.714286
predictive_accuracy
0.571429
predictive_accuracy
0.761905
predictive_accuracy
0.714286
predictive_accuracy
0.857143
predictive_accuracy
0.666667
predictive_accuracy
0.619048
predictive_accuracy
0.761905
predictive_accuracy
0.619048
predictive_accuracy
0.52381
predictive_accuracy
0.714286
predictive_accuracy
0.52381
predictive_accuracy
0.571429
predictive_accuracy
0.619048
predictive_accuracy
0.666667
predictive_accuracy
0.857143
predictive_accuracy
0.619048
predictive_accuracy
0.857143
predictive_accuracy
0.666667
predictive_accuracy
0.619048
predictive_accuracy
0.714286
predictive_accuracy
0.380952
predictive_accuracy
0.761905
predictive_accuracy
0.619048
predictive_accuracy
0.714286
predictive_accuracy
0.666667
predictive_accuracy
0.714286
predictive_accuracy
0.571429
predictive_accuracy
0.571429
predictive_accuracy
0.666667
predictive_accuracy
0.619048
predictive_accuracy
0.47619
predictive_accuracy
0.47619
predictive_accuracy
0.571429
predictive_accuracy
0.571429
predictive_accuracy
0.761905
predictive_accuracy
0.52381
predictive_accuracy
0.619048
predictive_accuracy
0.714286
predictive_accuracy
0.619048
predictive_accuracy
0.619048
predictive_accuracy
0.761905
predictive_accuracy
0.571429
predictive_accuracy
0.619048
predictive_accuracy
0.761905
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.6
predictive_accuracy
0.65
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.6
predictive_accuracy
0.45
predictive_accuracy
0.7
predictive_accuracy
0.65
predictive_accuracy
0.75
predictive_accuracy
0.65
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.55
predictive_accuracy
0.75
predictive_accuracy
0.65
predictive_accuracy
0.75
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.45
predictive_accuracy
0.85
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.55
predictive_accuracy
0.75
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.45
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.75
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.55
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.55
predictive_accuracy
0.65
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.5
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
recall
0.666667 [0,0,0.666667,0.714286,0.6,0.333333,1]
recall
0.619048 [0,0,1,0.857143,0.333333,0.333333,1]
recall
0.52381 [0,0,0.5,0.571429,0.5,0.666667,0.333333]
recall
0.714286 [0,0,1,0.714286,0.8,0.333333,0.666667]
recall
0.714286 [0,0,1,1,0.666667,0.5,0]
recall
0.571429 [0,0,1,0.571429,0.5,0.666667,0.333333]
recall
0.761905 [0,0,1,1,0.833333,0,0.5]
recall
0.714286 [0,0,1,1,0.5,0.5,0.5]
recall
0.857143 [0,0,0.5,1,1,0.75,0.5]
recall
0.666667 [0,0,1,0.714286,0.666667,0,1]
recall
0.619048 [0,0,0.5,1,0.666667,0.333333,0]
recall
0.761905 [0,0,1,1,0.666667,0.666667,0.666667]
recall
0.619048 [0,0,1,0.857143,0.333333,0.333333,0.666667]
recall
0.52381 [0,0,0.666667,0.571429,0.6,0.333333,0.333333]
recall
0.714286 [0,0,0.666667,0.857143,0.8,0.5,0.5]
recall
0.52381 [0,0,1,0.714286,0.5,0,0.333333]
recall
0.571429 [0,0,1,0.5,0.5,0.75,0]
recall
0.619048 [0,0,0.5,0.571429,0.8,0.5,0.666667]
recall
0.666667 [0,0,1,0.833333,0.5,0.5,0.666667]
recall
0.857143 [0,0,1,1,1,0,1]
recall
0.619048 [0,0,1,0.857143,0.5,0.333333,0.5]
recall
0.857143 [0,0,1,1,0.833333,1,0.666667]
recall
0.666667 [0,0,1,0.571429,0.8,0.666667,0.666667]
recall
0.619048 [0,0,1,0.714286,0.8,0,0.666667]
recall
0.714286 [0,0,0.666667,0.571429,1,1,0.5]
recall
0.380952 [0,0,0.5,0.571429,0.333333,0.333333,0]
recall
0.761905 [0,0,1,0.833333,0.833333,0.75,0.5]
recall
0.619048 [0,0,0.5,0.857143,0.8,0.333333,0.333333]
recall
0.714286 [0,0,0.5,1,0.5,1,0.666667]
recall
0.666667 [0,0,1,0.571429,1,0.666667,0]
recall
0.714286 [0,0,1,0.857143,0.833333,0,1]
recall
0.571429 [0,0,0.5,1,0.333333,0.5,0.333333]
recall
0.571429 [0,0,0.5,0.571429,0.8,0.333333,0.666667]
recall
0.666667 [0,0,1,1,0.2,1,0.333333]
recall
0.619048 [0,0,1,1,0.8,0,0]
recall
0.47619 [0,0,1,0.714286,0.2,0.333333,0]
recall
0.47619 [0,0,0.5,1,0.333333,0.333333,0]
recall
0.571429 [0,0,1,1,0.4,0.333333,0]
recall
0.571429 [0,0,1,0.833333,0.333333,0.333333,0.666667]
recall
0.761905 [0,0,1,1,0.666667,0.666667,0.5]
recall
0.52381 [0,0,1,0.571429,0.5,0.333333,0.5]
recall
0.619048 [0,0,1,0.714286,0.8,0.5,0]
recall
0.714286 [0,0,1,0.857143,0.6,0.333333,1]
recall
0.619048 [0,0,1,0.833333,0.666667,0.333333,0.333333]
recall
0.619048 [0,0,1,0.857143,0.6,0.333333,0.333333]
recall
0.761905 [0,0,0.666667,1,0.6,0.666667,1]
recall
0.571429 [0,0,0.5,0.428571,0.8,0.666667,0.666667]
recall
0.619048 [0,0,0,0.714286,0.8,0.666667,0.666667]
recall
0.761905 [0,0,1,1,0.8,0.666667,0.333333]
recall
0.666667 [0,0,1,0.428571,0.8,0.75,1]
recall
0.6 [0,0,0.5,0.714286,0.6,0.333333,0.666667]
recall
0.65 [0,0,1,0.428571,0.8,1,0.333333]
recall
0.65 [0,0,1,0.714286,0.6,0.333333,0.5]
recall
0.6 [0,0,0.5,0.5,0.666667,0.666667,0.666667]
recall
0.65 [0,0,0.5,0.857143,0.4,1,0.333333]
recall
0.7 [0,0,0.5,0.714286,0.8,0.666667,0.666667]
recall
0.7 [0,0,1,1,0.4,1,0]
recall
0.65 [0,0,1,0.714286,0.8,0.666667,0]
recall
0.65 [0,0,1,0.857143,0.8,0.333333,0]
recall
0.6 [0,0,0,0.833333,0.6,0.75,0.333333]
recall
0.45 [0,0,1,0.428571,0.4,0.333333,0.333333]
recall
0.7 [0,0,1,0.857143,0.8,0.333333,0.333333]
recall
0.65 [0,0,1,0.714286,0.6,0.25,1]
recall
0.75 [0,0,1,0.833333,0.666667,0.333333,1]
recall
0.65 [0,0,0,0.714286,0.6,1,0.666667]
recall
0.8 [0,0,1,0.857143,1,0.333333,0.666667]
recall
0.6 [0,0,1,0.571429,0.4,0.666667,0.666667]
recall
0.55 [0,0,1,0.571429,0.6,0.333333,0.333333]
recall
0.75 [0,0,0.5,0.857143,0.8,1,0.333333]
recall
0.65 [0,0,0.333333,0.833333,0.6,1,0.333333]
recall
0.75 [0,0,0.5,0.833333,0.6,0.75,1]
recall
0.6 [0,0,1,0.285714,0.6,1,0.666667]
recall
0.7 [0,0,1,0.833333,0.8,0.5,0.333333]
recall
0.7 [0,0,1,0.714286,0.833333,0.333333,0.5]
recall
0.45 [0,0,1,0.5,0.333333,0.333333,0.333333]
recall
0.85 [0,0,1,1,0.6,0.75,1]
recall
0.65 [0,0,0.5,0.714286,0.8,0.333333,0.666667]
recall
0.65 [0,0,1,0.833333,0.333333,0.666667,0.666667]
recall
0.55 [0,0,0.5,0.571429,0.8,0.666667,0]
recall
0.75 [0,0,1,0.833333,0.6,0.666667,0.666667]
recall
0.6 [0,0,1,0.833333,0.6,0.25,0.333333]
recall
0.6 [0,0,0.666667,1,0.6,0,0]
recall
0.45 [0,0,0,0.333333,0.833333,0.333333,0.333333]
recall
0.85 [0,0,1,0.857143,0.8,1,0.5]
recall
0.85 [0,0,0.5,1,1,0.666667,0.666667]
recall
0.75 [0,0,1,0.5,0.8,0.75,1]
recall
0.9 [0,0,1,1,1,0.666667,0.666667]
recall
0.8 [0,0,0.666667,0.833333,0.666667,1,1]
recall
0.75 [0,0,1,0.714286,0.4,1,1]
recall
0.8 [0,0,1,0.714286,0.8,0.666667,1]
recall
0.55 [0,0,0.333333,0.666667,0.6,0.333333,0.666667]
recall
0.7 [0,0,0.333333,0.857143,0.8,0.666667,0.5]
recall
0.6 [0,0,1,1,0.5,0,0.333333]
recall
0.55 [0,0,0.5,1,0.4,0.25,0]
recall
0.65 [0,0,1,0.666667,0.5,1,0.333333]
recall
0.6 [0,0,1,0.666667,0.833333,0,0.333333]
recall
0.7 [0,0,1,0.714286,0.8,0.333333,0.666667]
recall
0.7 [0,0,1,0.5,0.833333,0.666667,0.5]
recall
0.7 [0,0,1,0.857143,0.6,0.333333,0.5]
recall
0.5 [0,0,0.5,0.857143,0.6,0,0]
relative_absolute_error
0.54366
relative_absolute_error
0.62294
relative_absolute_error
0.744555
relative_absolute_error
0.547127
relative_absolute_error
0.52867
relative_absolute_error
0.695521
relative_absolute_error
0.556114
relative_absolute_error
0.600812
relative_absolute_error
0.548185
relative_absolute_error
0.650342
relative_absolute_error
0.679418
relative_absolute_error
0.64271
relative_absolute_error
0.654165
relative_absolute_error
0.640745
relative_absolute_error
0.608699
relative_absolute_error
0.649577
relative_absolute_error
0.727475
relative_absolute_error
0.67424
relative_absolute_error
0.597841
relative_absolute_error
0.52122
relative_absolute_error
0.573743
relative_absolute_error
0.624486
relative_absolute_error
0.545503
relative_absolute_error
0.633963
relative_absolute_error
0.564422
relative_absolute_error
0.730926
relative_absolute_error
0.589527
relative_absolute_error
0.585025
relative_absolute_error
0.545355
relative_absolute_error
0.60952
relative_absolute_error
0.507417
relative_absolute_error
0.728607
relative_absolute_error
0.575042
relative_absolute_error
0.551969
relative_absolute_error
0.563658
relative_absolute_error
0.784297
relative_absolute_error
0.704472
relative_absolute_error
0.691006
relative_absolute_error
0.684649
relative_absolute_error
0.437932
relative_absolute_error
0.725167
relative_absolute_error
0.598127
relative_absolute_error
0.528293
relative_absolute_error
0.581359
relative_absolute_error
0.63596
relative_absolute_error
0.572461
relative_absolute_error
0.642893
relative_absolute_error
0.645948
relative_absolute_error
0.560663
relative_absolute_error
0.61337
relative_absolute_error
0.695055
relative_absolute_error
0.693206
relative_absolute_error
0.574427
relative_absolute_error
0.659864
relative_absolute_error
0.638093
relative_absolute_error
0.60138
relative_absolute_error
0.50855
relative_absolute_error
0.561863
relative_absolute_error
0.583315
relative_absolute_error
0.67154
relative_absolute_error
0.798377
relative_absolute_error
0.559706
relative_absolute_error
0.555193
relative_absolute_error
0.536742
relative_absolute_error
0.595737
relative_absolute_error
0.556887
relative_absolute_error
0.66157
relative_absolute_error
0.720439
relative_absolute_error
0.615654
relative_absolute_error
0.568832
relative_absolute_error
0.521668
relative_absolute_error
0.642048
relative_absolute_error
0.557953
relative_absolute_error
0.632242
relative_absolute_error
0.747695
relative_absolute_error
0.553702
relative_absolute_error
0.597216
relative_absolute_error
0.662809
relative_absolute_error
0.631831
relative_absolute_error
0.607835
relative_absolute_error
0.59001
relative_absolute_error
0.609578
relative_absolute_error
0.758089
relative_absolute_error
0.478092
relative_absolute_error
0.45259
relative_absolute_error
0.592424
relative_absolute_error
0.503679
relative_absolute_error
0.510786
relative_absolute_error
0.575651
relative_absolute_error
0.490416
relative_absolute_error
0.604293
relative_absolute_error
0.582272
relative_absolute_error
0.622651
relative_absolute_error
0.715237
relative_absolute_error
0.588753
relative_absolute_error
0.639014
relative_absolute_error
0.478643
relative_absolute_error
0.543811
relative_absolute_error
0.603384
relative_absolute_error
0.658906
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.329783
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.331917
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.333171
root_mean_prior_squared_error
0.331433
root_mean_prior_squared_error
0.332689
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.334996
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.332689
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331433
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.333749
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.327111
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331714
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331714
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.32988
root_mean_squared_error
0.241967
root_mean_squared_error
0.252957
root_mean_squared_error
0.317769
root_mean_squared_error
0.231015
root_mean_squared_error
0.249135
root_mean_squared_error
0.29059
root_mean_squared_error
0.248504
root_mean_squared_error
0.259293
root_mean_squared_error
0.231659
root_mean_squared_error
0.304636
root_mean_squared_error
0.284175
root_mean_squared_error
0.258835
root_mean_squared_error
0.291491
root_mean_squared_error
0.290866
root_mean_squared_error
0.265108
root_mean_squared_error
0.296555
root_mean_squared_error
0.290083
root_mean_squared_error
0.277072
root_mean_squared_error
0.255244
root_mean_squared_error
0.227093
root_mean_squared_error
0.251668
root_mean_squared_error
0.254088
root_mean_squared_error
0.238348
root_mean_squared_error
0.265867
root_mean_squared_error
0.266229
root_mean_squared_error
0.312894
root_mean_squared_error
0.246102
root_mean_squared_error
0.257001
root_mean_squared_error
0.241388
root_mean_squared_error
0.261055
root_mean_squared_error
0.241809
root_mean_squared_error
0.308489
root_mean_squared_error
0.272545
root_mean_squared_error
0.243986
root_mean_squared_error
0.279643
root_mean_squared_error
0.328504
root_mean_squared_error
0.324701
root_mean_squared_error
0.281627
root_mean_squared_error
0.293421
root_mean_squared_error
0.211017
root_mean_squared_error
0.307488
root_mean_squared_error
0.269099
root_mean_squared_error
0.243992
root_mean_squared_error
0.260163
root_mean_squared_error
0.261056
root_mean_squared_error
0.246167
root_mean_squared_error
0.278706
root_mean_squared_error
0.288449
root_mean_squared_error
0.251794
root_mean_squared_error
0.260162
root_mean_squared_error
0.291974
root_mean_squared_error
0.285683
root_mean_squared_error
0.252967
root_mean_squared_error
0.287671
root_mean_squared_error
0.279708
root_mean_squared_error
0.260243
root_mean_squared_error
0.220522
root_mean_squared_error
0.265397
root_mean_squared_error
0.287625
root_mean_squared_error
0.305451
root_mean_squared_error
0.334918
root_mean_squared_error
0.259694
root_mean_squared_error
0.232741
root_mean_squared_error
0.234881
root_mean_squared_error
0.244795
root_mean_squared_error
0.247453
root_mean_squared_error
0.290054
root_mean_squared_error
0.300038
root_mean_squared_error
0.243115
root_mean_squared_error
0.243377
root_mean_squared_error
0.220396
root_mean_squared_error
0.262146
root_mean_squared_error
0.250514
root_mean_squared_error
0.270495
root_mean_squared_error
0.317175
root_mean_squared_error
0.234944
root_mean_squared_error
0.282339
root_mean_squared_error
0.263422
root_mean_squared_error
0.283273
root_mean_squared_error
0.263995
root_mean_squared_error
0.256114
root_mean_squared_error
0.270913
root_mean_squared_error
0.301049
root_mean_squared_error
0.223996
root_mean_squared_error
0.214837
root_mean_squared_error
0.251713
root_mean_squared_error
0.220733
root_mean_squared_error
0.23995
root_mean_squared_error
0.244405
root_mean_squared_error
0.226598
root_mean_squared_error
0.261908
root_mean_squared_error
0.266744
root_mean_squared_error
0.271814
root_mean_squared_error
0.300403
root_mean_squared_error
0.246835
root_mean_squared_error
0.285719
root_mean_squared_error
0.234606
root_mean_squared_error
0.252057
root_mean_squared_error
0.260619
root_mean_squared_error
0.297876
root_relative_squared_error
0.727939
root_relative_squared_error
0.762775
root_relative_squared_error
0.964993
root_relative_squared_error
0.694992
root_relative_squared_error
0.75769
root_relative_squared_error
0.882456
root_relative_squared_error
0.753538
root_relative_squared_error
0.788584
root_relative_squared_error
0.704542
root_relative_squared_error
0.925112
root_relative_squared_error
0.862975
root_relative_squared_error
0.771549
root_relative_squared_error
0.885193
root_relative_squared_error
0.87505
root_relative_squared_error
0.798719
root_relative_squared_error
0.900572
root_relative_squared_error
0.870673
root_relative_squared_error
0.835981
root_relative_squared_error
0.767215
root_relative_squared_error
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