404115
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
1413050
description
https://api.openml.org/data/download/1413050/weka_generated_run7981542284053564051.xml
-1
1413053
model_readable
https://api.openml.org/data/download/1413053/WekaModel_weka.classifiers.meta.FilteredClassifier2322701845757797309.model
-1
1413052
model_serialized
https://api.openml.org/data/download/1413052/WekaSerialized_weka.classifiers.meta.FilteredClassifier8227237630352082486.model
-1
1413051
predictions
https://api.openml.org/data/download/1413051/weka_generated_predictions9199306532099376000.arff
area_under_roc_curve
0.95973 [0.838596,0.971632,0.957422,0.0,0.975221,0.968023]
average_cost
0
f_measure
0.907758 [0.333333,0.748238,0.942609,0,0.834186,0.944724]
kappa
0.77252
kb_relative_information_score
6302.272915
mean_absolute_error
0.043548
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.910646 [1,0.745984,0.940346,0,0.816881,0.949495]
predictive_accuracy
0.909688
prior_entropy
1.214875
recall
0.909688 [0.2,0.750505,0.944883,0,0.852239,0.94]
relative_absolute_error
0.324245
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.150987
root_relative_squared_error
0.584726
scimark_benchmark
926.474464 [551.2771025626125, 992.7640510810805, 468.065280891209, 903.9448721759832, 1716.32101431548]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
0
usercpu_time_millis_training
20
area_under_roc_curve
0.977301 [0.988764,0.984911,0.97619,0.0,0.963855,1]
area_under_roc_curve
0.967289 [1,0.971193,0.962388,0.0,0.990534,0.994186]
area_under_roc_curve
0.971275 [0.97191,0.9675,0.968254,0.0,0.993056,1]
area_under_roc_curve
0.967245 [0.910112,0.960625,0.964458,0.0,0.998016,1]
area_under_roc_curve
0.971506 [0.977528,0.974375,0.969289,0.0,0.972222,1]
area_under_roc_curve
0.963528 [1,0.969375,0.957557,0.0,0.992063,1]
area_under_roc_curve
0.956733 [1,0.969375,0.956177,0.0,1,0.859012]
area_under_roc_curve
0.944881 [1,0.9325,0.937888,0.0,1,1]
area_under_roc_curve
0.916054 [1,0.96845,0.908213,0.0,0.944923,0.861919]
area_under_roc_curve
0.978811 [0.337079,0.984225,0.985162,0.0,0.988812,1]
area_under_roc_curve
0.941496 [0.797753,1,0.935473,0.0,0.998016,0.850291]
area_under_roc_curve
0.93021 [0.876404,0.911875,0.924799,0.0,0.976764,1]
area_under_roc_curve
0.952052 [0.432584,0.966875,0.955141,0.0,0.946429,1]
area_under_roc_curve
0.953065 [0.977528,0.949375,0.954796,0.0,0.994048,0.864826]
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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area_under_roc_curve
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area_under_roc_curve
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0.884756 [1,0.555556,0.927536,0,1,0.75]
f_measure
0.928137 [0,0.888889,0.956522,0,0.8,1]
f_measure
0.915347 [0,0.842105,0.94964,0,0.769231,1]
f_measure
0.885714 [0,0.571429,0.926471,0,1,1]
f_measure
0.939092 [0,0.9,0.963504,0,0.857143,1]
f_measure
0.860954 [0,0.777778,0.924138,0,0.6,0.666667]
f_measure
0.915617 [0,0.736842,0.94964,0,0.923077,1]
f_measure
0.90127 [1,0.736842,0.940299,0,0.75,0.888889]
f_measure
0.890522 [0,0.705882,0.93617,0,0.857143,0.857143]
f_measure
0.874239 [0,0.666667,0.918519,0,0.857143,0.888889]
f_measure
0.894809 [0,0.8,0.934307,0,0.714286,1]
f_measure
0.873797 [1,0.692308,0.916031,0,0.714286,0.857143]
f_measure
0.915347 [0,0.842105,0.94964,0,0.769231,1]
f_measure
0.867986 [0,0.625,0.920863,0,0.75,1]
f_measure
0.938664 [0,0.909091,0.970588,0,0.833333,0.888889]
f_measure
0.898653 [0,0.8,0.939394,0,0.714286,1]
f_measure
0.882772 [0,0.666667,0.934307,0,0.75,1]
f_measure
0.912099 [0,0.666667,0.948148,0,1,1]
f_measure
0.913194 [1,0.818182,0.947368,0,0.769231,0.8]
f_measure
0.867523 [0,0.666667,0.920863,0,0.875,0.666667]
f_measure
0.952008 [0,0.869565,0.985075,0,0.857143,1]
f_measure
0.824172 [0,0.583333,0.878788,0,0.769231,0.8]
f_measure
0.918494 [0,0.888889,0.948905,0,0.75,1]
f_measure
0.90753 [0,0.818182,0.940299,0,0.857143,0.888889]
f_measure
0.896296 [0,0.666667,0.942029,0,0.833333,1]
f_measure
0.954443 [1,0.9,0.978102,0,0.833333,0.888889]
f_measure
0.906046 [0,0.769231,0.929134,0,0.823529,1]
f_measure
0.920829 [0,0.8,0.94964,0,0.833333,0.857143]
f_measure
0.977528 [0,0.9,0.985294,0,1,1]
f_measure
0.965983 [0,0.9,0.978102,0,0.923077,1]
f_measure
0.935117 [0,0.818182,0.962406,0,0.8,1]
f_measure
0.891811 [0,0.727273,0.924242,0,0.75,1]
f_measure
0.891668 [0,0.782609,0.935252,0,0.5,1]
f_measure
0.934007 [0,0.857143,0.955224,0,0.8,1]
f_measure
0.923417 [0,0.761905,0.948148,0,0.857143,1]
f_measure
0.935313 [0,0.782609,0.955224,0,0.923077,1]
f_measure
0.887652 [0,0.666667,0.927536,0,0.833333,0.857143]
f_measure
0.9325 [0,0.842105,0.956522,0,0.857143,0.857143]
f_measure
0.849076 [0,0.428571,0.915493,0,0.8,0.857143]
f_measure
0.907772 [0,0.666667,0.941176,0,0.875,1]
f_measure
0.921436 [0,0.666667,0.948905,0,0.933333,1]
f_measure
0.892143 [0,0.625,0.935252,0,0.875,0.857143]
f_measure
0.87781 [0,0.689655,0.904762,0,0.8,1]
f_measure
0.944236 [0,0.8,0.962963,0,1,0.888889]
f_measure
0.863804 [0,0.526316,0.913043,0,0.769231,1]
f_measure
0.907018 [0,0.666667,0.942029,0,0.857143,1]
kappa
0.693182
kappa
0.764466
kappa
0.718945
kappa
0.72719
kappa
0.73036
kappa
0.706042
kappa
0.750385
kappa
0.774859
kappa
0.656769
kappa
0.884837
kappa
0.789658
kappa
0.805735
kappa
0.79351
kappa
0.693773
kappa
0.67
kappa
0.682591
kappa
0.718486
kappa
0.801949
kappa
0.88697
kappa
0.8502
kappa
0.797947
kappa
0.749768
kappa
0.73
kappa
0.759197
kappa
0.863429
kappa
0.855862
kappa
0.774812
kappa
0.680964
kappa
0.805915
kappa
0.830028
kappa
0.733037
kappa
0.781884
kappa
0.805915
kappa
0.782477
kappa
0.792447
kappa
0.877717
kappa
0.812779
kappa
0.808375
kappa
0.798335
kappa
0.759215
kappa
0.825
kappa
0.794721
kappa
0.773727
kappa
0.740468
kappa
0.786223
kappa
0.884763
kappa
0.805556
kappa
0.711353
kappa
0.719626
kappa
0.666667
kappa
0.775561
kappa
0.669967
kappa
0.802011
kappa
0.86639
kappa
0.718222
kappa
0.830615
kappa
0.798335
kappa
0.727355
kappa
0.86124
kappa
0.640653
kappa
0.798335
kappa
0.764398
kappa
0.730449
kappa
0.705795
kappa
0.750231
kappa
0.699499
kappa
0.798335
kappa
0.684009
kappa
0.863678
kappa
0.770733
kappa
0.722992
kappa
0.785331
kappa
0.793873
kappa
0.682794
kappa
0.894644
kappa
0.59345
kappa
0.806094
kappa
0.789658
kappa
0.745042
kappa
0.889299
kappa
0.781327
kappa
0.788311
kappa
0.943167
kappa
0.913058
kappa
0.838622
kappa
0.735905
kappa
0.726901
kappa
0.835743
kappa
0.804886
kappa
0.835439
kappa
0.703728
kappa
0.822591
kappa
0.615965
kappa
0.773104
kappa
0.797464
kappa
0.729209
kappa
0.713519
kappa
0.860763
kappa
0.645418
kappa
0.763926
kb_relative_information_score
62.503614
kb_relative_information_score
64.034301
kb_relative_information_score
61.078268
kb_relative_information_score
61.726822
kb_relative_information_score
59.328902
kb_relative_information_score
60.359653
kb_relative_information_score
63.231821
kb_relative_information_score
60.124342
kb_relative_information_score
55.461161
kb_relative_information_score
69.637943
kb_relative_information_score
62.719649
kb_relative_information_score
63.55631
kb_relative_information_score
60.477782
kb_relative_information_score
55.064315
kb_relative_information_score
56.705601
kb_relative_information_score
59.46952
kb_relative_information_score
53.027548
kb_relative_information_score
65.460969
kb_relative_information_score
72.24268
kb_relative_information_score
64.539037
kb_relative_information_score
65.280866
kb_relative_information_score
63.857158
kb_relative_information_score
63.771873
kb_relative_information_score
57.128971
kb_relative_information_score
66.511897
kb_relative_information_score
66.355626
kb_relative_information_score
67.431506
kb_relative_information_score
57.993004
kb_relative_information_score
67.733268
kb_relative_information_score
66.443836
kb_relative_information_score
63.723698
kb_relative_information_score
64.827737
kb_relative_information_score
63.65917
kb_relative_information_score
64.705273
kb_relative_information_score
61.106999
kb_relative_information_score
68.442866
kb_relative_information_score
63.732645
kb_relative_information_score
65.473766
kb_relative_information_score
65.816907
kb_relative_information_score
61.319487
kb_relative_information_score
68.027327
kb_relative_information_score
59.765256
kb_relative_information_score
66.950934
kb_relative_information_score
62.938229
kb_relative_information_score
62.979582
kb_relative_information_score
73.689287
kb_relative_information_score
67.151957
kb_relative_information_score
59.533885
kb_relative_information_score
57.93931
kb_relative_information_score
59.058811
kb_relative_information_score
65.666952
kb_relative_information_score
65.645559
kb_relative_information_score
65.950967
kb_relative_information_score
73.060977
kb_relative_information_score
67.288667
kb_relative_information_score
67.655916
kb_relative_information_score
64.208237
kb_relative_information_score
63.4187
kb_relative_information_score
70.71583
kb_relative_information_score
57.421661
kb_relative_information_score
62.419738
kb_relative_information_score
63.380033
kb_relative_information_score
57.446902
kb_relative_information_score
57.969251
kb_relative_information_score
66.80325
kb_relative_information_score
55.525637
kb_relative_information_score
69.05711
kb_relative_information_score
58.167435
kb_relative_information_score
70.708643
kb_relative_information_score
61.32174
kb_relative_information_score
62.982189
kb_relative_information_score
62.965826
kb_relative_information_score
64.688703
kb_relative_information_score
59.15383
kb_relative_information_score
72.00957
kb_relative_information_score
51.297601
kb_relative_information_score
65.685402
kb_relative_information_score
62.797905
kb_relative_information_score
57.259734
kb_relative_information_score
71.376547
kb_relative_information_score
62.421124
kb_relative_information_score
63.866321
kb_relative_information_score
73.567722
kb_relative_information_score
72.471286
kb_relative_information_score
62.901643
kb_relative_information_score
59.621136
kb_relative_information_score
55.762674
kb_relative_information_score
65.73414
kb_relative_information_score
61.395284
kb_relative_information_score
63.113388
kb_relative_information_score
55.575964
kb_relative_information_score
61.460412
kb_relative_information_score
55.209654
kb_relative_information_score
64.804603
kb_relative_information_score
60.641025
kb_relative_information_score
54.041557
kb_relative_information_score
55.313638
kb_relative_information_score
70.601126
kb_relative_information_score
51.586571
kb_relative_information_score
64.031763
mean_absolute_error
0.040347
mean_absolute_error
0.044322
mean_absolute_error
0.047888
mean_absolute_error
0.044214
mean_absolute_error
0.048778
mean_absolute_error
0.051622
mean_absolute_error
0.043543
mean_absolute_error
0.054398
mean_absolute_error
0.056739
mean_absolute_error
0.032552
mean_absolute_error
0.040174
mean_absolute_error
0.043427
mean_absolute_error
0.04311
mean_absolute_error
0.055018
mean_absolute_error
0.050659
mean_absolute_error
0.047988
mean_absolute_error
0.062003
mean_absolute_error
0.037201
mean_absolute_error
0.033623
mean_absolute_error
0.036952
mean_absolute_error
0.041258
mean_absolute_error
0.040571
mean_absolute_error
0.037234
mean_absolute_error
0.046937
mean_absolute_error
0.033164
mean_absolute_error
0.035595
mean_absolute_error
0.04196
mean_absolute_error
0.046488
mean_absolute_error
0.03772
mean_absolute_error
0.04012
mean_absolute_error
0.039527
mean_absolute_error
0.041361
mean_absolute_error
0.044345
mean_absolute_error
0.040622
mean_absolute_error
0.046138
mean_absolute_error
0.031157
mean_absolute_error
0.047677
mean_absolute_error
0.03475
mean_absolute_error
0.042225
mean_absolute_error
0.049392
mean_absolute_error
0.036759
mean_absolute_error
0.047048
mean_absolute_error
0.037538
mean_absolute_error
0.044299
mean_absolute_error
0.040957
mean_absolute_error
0.02716
mean_absolute_error
0.042121
mean_absolute_error
0.045335
mean_absolute_error
0.050277
mean_absolute_error
0.057848
mean_absolute_error
0.047979
mean_absolute_error
0.049307
mean_absolute_error
0.041426
mean_absolute_error
0.027325
mean_absolute_error
0.042568
mean_absolute_error
0.036837
mean_absolute_error
0.041601
mean_absolute_error
0.04197
mean_absolute_error
0.037221
mean_absolute_error
0.044202
mean_absolute_error
0.049164
mean_absolute_error
0.051585
mean_absolute_error
0.0484
mean_absolute_error
0.052774
mean_absolute_error
0.043563
mean_absolute_error
0.059714
mean_absolute_error
0.034648
mean_absolute_error
0.056921
mean_absolute_error
0.03285
mean_absolute_error
0.047459
mean_absolute_error
0.045173
mean_absolute_error
0.043494
mean_absolute_error
0.048591
mean_absolute_error
0.04933
mean_absolute_error
0.034722
mean_absolute_error
0.067036
mean_absolute_error
0.04647
mean_absolute_error
0.049817
mean_absolute_error
0.049661
mean_absolute_error
0.034425
mean_absolute_error
0.0448
mean_absolute_error
0.033271
mean_absolute_error
0.026886
mean_absolute_error
0.025108
mean_absolute_error
0.043737
mean_absolute_error
0.047709
mean_absolute_error
0.047105
mean_absolute_error
0.037448
mean_absolute_error
0.041303
mean_absolute_error
0.03965
mean_absolute_error
0.048942
mean_absolute_error
0.037795
mean_absolute_error
0.05047
mean_absolute_error
0.039888
mean_absolute_error
0.043789
mean_absolute_error
0.05458
mean_absolute_error
0.051376
mean_absolute_error
0.029331
mean_absolute_error
0.054028
mean_absolute_error
0.038807
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
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0.135738
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0.135738
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0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
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0.135738
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0.135738
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0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.131132
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,9,69,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
precision
0.900427 [0,1,0.884615,0,1,1]
precision
0.911713 [1,0.636364,0.969231,0,0.75,0.8]
precision
0.886737 [0,0.833333,0.905405,0,0.833333,1]
precision
0.887298 [0,0.583333,0.940299,0,0.857143,1]
precision
0.890079 [0,0.857143,0.916667,0,0.714286,1]
precision
0.900578 [1,0.571429,0.967213,0,0.6,1]
precision
0.903387 [1,0.636364,0.941176,0,1,0.75]
precision
0.91746 [1,0.857143,0.942029,0,0.666667,1]
precision
0.886369 [1,0.5,0.95082,0,0.666667,1]
precision
0.944762 [0,0.875,0.971429,0,0.875,1]
precision
0.912357 [0,0.769231,0.969231,0,0.857143,0.6]
precision
0.911755 [0,0.8,0.942029,0,0.857143,1]
precision
0.915393 [0,0.727273,0.943662,0,1,1]
precision
0.874103 [0,0.714286,0.90411,0,0.857143,1]
precision
0.861574 [0,0.625,0.902778,0,0.833333,1]
precision
0.877215 [1,0.636364,0.914286,0,0.75,1]
precision
0.896162 [0,1,0.927536,0,0.636364,0.8]
precision
0.912698 [0,0.7,0.956522,0,0.857143,1]
precision
0.944162 [0,0.888889,0.957143,0,1,1]
precision
0.936772 [0,1,0.944444,0,0.857143,1]
precision
0.911746 [0,0.8,0.942857,0,0.833333,1]
precision
0.897101 [0,0.666667,0.927536,0,1,1]
precision
0.886111 [0,0.75,0.916667,0,0.833333,1]
precision
0.902315 [0,0.7,0.930556,0,1,1]
precision
0.940694 [0,0.769231,0.985075,0,0.833333,1]
precision
0.936984 [0,1,0.957143,0,0.714286,1]
precision
0.921847 [1,0.6,0.968254,0,0.875,1]
precision
0.888063 [0,1,0.893333,0,0.714286,1]
precision
0.913977 [0,0.8,0.942029,0,1,0.8]
precision
0.925253 [0,0.727273,0.956522,0,1,1]
precision
0.909235 [0,1,0.896104,0,1,1]
precision
0.90202 [0,0.818182,0.941176,0,0.714286,1]
precision
0.915621 [0,0.8,0.955882,0,0.75,1]
precision
0.915672 [0,1,0.955224,0,0.5,1]
precision
0.917493 [0,0.666667,0.969231,0,0.857143,1]
precision
0.94688 [0,1,0.945205,0,1,1]
precision
0.915552 [0,0.8,0.955224,0,0.777778,1]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.910372 [0,0.888889,0.929577,0,0.833333,1]
precision
0.898591 [0,0.666667,0.954545,0,0.857143,0.8]
precision
0.927922 [0,0.769231,0.984127,0,0.7,1]
precision
0.909436 [0,0.857143,0.930556,0,0.857143,1]
precision
0.899735 [0,0.8,0.928571,0,0.833333,1]
precision
0.887261 [0,0.8,0.915493,0,0.8,1]
precision
0.905891 [0,0.9,0.955224,0,0.625,0.8]
precision
0.944618 [0,0.888889,0.957746,0,1,1]
precision
0.914786 [0,0.727273,0.942029,0,1,1]
precision
0.878743 [0,0.7,0.915493,0,0.833333,1]
precision
0.886074 [0,0.8,0.893333,0,1,1]
precision
0.880741 [1,0.5,0.95,0,0.666667,1]
precision
0.915644 [1,0.666667,0.968254,0,0.7,1]
precision
0.903134 [1,1,0.871795,0,1,1]
precision
0.923492 [1,0.8,0.942857,0,0.857143,1]
precision
0.936613 [0,0.9,0.970149,0,0.875,0.8]
precision
0.88246 [1,0.625,0.914286,0,1,0.75]
precision
0.92627 [0,1,0.942857,0,0.75,1]
precision
0.910372 [0,0.888889,0.929577,0,0.833333,1]
precision
0.882828 [0,0.545455,0.926471,0,1,1]
precision
0.933816 [0,0.9,0.956522,0,0.857143,1]
precision
0.876876 [0,0.875,0.87013,0,1,1]
precision
0.910989 [0,0.777778,0.929577,0,1,1]
precision
0.90615 [1,0.777778,0.954545,0,0.666667,0.8]
precision
0.889454 [0,0.857143,0.90411,0,0.857143,1]
precision
0.8721 [0,0.636364,0.925373,0,0.857143,0.8]
precision
0.889694 [0,0.8,0.927536,0,0.714286,1]
precision
0.893188 [1,0.5625,0.952381,0,0.714286,1]
precision
0.910372 [0,0.888889,0.929577,0,0.833333,1]
precision
0.869953 [0,0.833333,0.901408,0,0.666667,1]
precision
0.939259 [0,0.833333,0.970588,0,1,0.8]
precision
0.906019 [0,0.666667,0.96875,0,0.714286,1]
precision
0.880435 [0,0.75,0.927536,0,0.666667,1]
precision
0.918038 [0,0.571429,0.969697,0,1,1]
precision
0.921197 [1,0.75,0.969231,0,0.833333,0.666667]
precision
0.869336 [0,0.75,0.901408,0,0.777778,1]
precision
0.952137 [0,0.769231,1,0,0.857143,1]
precision
0.834722 [0,0.5,0.90625,0,0.833333,0.666667]
precision
0.919163 [0,1,0.942029,0,0.666667,1]
precision
0.906768 [0,0.75,0.954545,0,0.857143,0.8]
precision
0.892929 [0,0.636364,0.942029,0,0.833333,1]
precision
0.9581 [1,0.9,0.971014,0,1,0.8]
precision
0.93427 [0,0.625,1,0,0.7,1]
precision
0.92199 [0,0.8,0.942857,0,0.833333,1]
precision
0.977528 [0,0.9,0.985294,0,1,1]
precision
0.966618 [0,0.9,0.971014,0,1,1]
precision
0.940493 [0,0.75,0.984615,0,0.75,1]
precision
0.900515 [0,0.666667,0.953125,0,0.666667,1]
precision
0.910051 [0,0.692308,0.928571,0,1,1]
precision
0.936755 [0,0.818182,0.969697,0,0.75,1]
precision
0.929009 [0,0.727273,0.969697,0,0.75,1]
precision
0.942275 [0,0.692308,0.969697,0,1,1]
precision
0.893652 [0,0.636364,0.914286,0,1,1]
precision
0.936954 [0,0.888889,0.956522,0,0.75,1]
precision
0.859323 [0,0.75,0.878378,0,0.75,1]
precision
0.909488 [0,0.75,0.941176,0,0.777778,1]
precision
0.922257 [0,0.666667,0.955882,0,0.875,1]
precision
0.899228 [0,0.833333,0.915493,0,0.777778,1]
precision
0.924305 [0,0.526316,1,0,0.666667,1]
precision
0.945732 [0,0.8,0.970149,0,1,0.8]
precision
0.863385 [0,0.555556,0.913043,0,0.714286,1]
precision
0.9061 [0,0.75,0.928571,0,0.857143,1]
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.888889
predictive_accuracy
0.9
predictive_accuracy
0.866667
predictive_accuracy
0.9
predictive_accuracy
0.911111
predictive_accuracy
0.844444
predictive_accuracy
0.955556
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.922222
predictive_accuracy
0.888889
predictive_accuracy
0.877778
predictive_accuracy
0.877778
predictive_accuracy
0.888889
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.888889
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.922222
predictive_accuracy
0.922222
predictive_accuracy
0.911111
predictive_accuracy
0.9
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.888889
predictive_accuracy
0.9
predictive_accuracy
0.844444
predictive_accuracy
0.9
predictive_accuracy
0.888889
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.888889
predictive_accuracy
0.944444
predictive_accuracy
0.877778
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.877778
predictive_accuracy
0.9
predictive_accuracy
0.866667
predictive_accuracy
0.922222
predictive_accuracy
0.877778
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.888889
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.877778
predictive_accuracy
0.955556
predictive_accuracy
0.822222
predictive_accuracy
0.922222
predictive_accuracy
0.911111
predictive_accuracy
0.9
predictive_accuracy
0.955556
predictive_accuracy
0.898876
predictive_accuracy
0.921348
predictive_accuracy
0.977528
predictive_accuracy
0.966292
predictive_accuracy
0.932584
predictive_accuracy
0.88764
predictive_accuracy
0.898876
predictive_accuracy
0.932584
predictive_accuracy
0.921348
predictive_accuracy
0.932584
predictive_accuracy
0.88764
predictive_accuracy
0.932584
predictive_accuracy
0.865169
predictive_accuracy
0.910112
predictive_accuracy
0.921348
predictive_accuracy
0.898876
predictive_accuracy
0.865169
predictive_accuracy
0.94382
predictive_accuracy
0.865169
predictive_accuracy
0.910112
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
recall
0.9 [0,0.333333,1,0,0.714286,1]
recall
0.9 [1,0.777778,0.913043,0,0.857143,1]
recall
0.9 [0,0.5,0.971014,0,0.833333,1]
recall
0.888889 [0,0.7,0.913043,0,1,1]
recall
0.9 [0,0.6,0.956522,0,0.833333,1]
recall
0.866667 [1,0.8,0.855072,0,1,1]
recall
0.9 [1,0.7,0.927536,0,1,0.75]
recall
0.911111 [1,0.6,0.942029,0,1,1]
recall
0.844444 [1,0.888889,0.84058,0,0.857143,0.75]
recall
0.955556 [0,0.777778,0.985507,0,1,1]
recall
0.911111 [0,1,0.913043,0,1,0.75]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.922222 [0,0.8,0.971014,0,0.666667,1]
recall
0.888889 [0,0.5,0.956522,0,1,0.75]
recall
0.877778 [0,0.5,0.942029,0,0.833333,1]
recall
0.877778 [1,0.7,0.927536,0,0.5,1]
recall
0.888889 [0,0.555556,0.927536,0,1,1]
recall
0.922222 [0,0.7,0.956522,0,1,1]
recall
0.955556 [0,0.8,0.985294,0,1,1]
recall
0.944444 [0,0.7,0.985507,0,1,1]
recall
0.922222 [0,0.8,0.956522,0,0.833333,1]
recall
0.9 [0,0.8,0.941176,0,0.714286,1]
recall
0.9 [0,0.6,0.956522,0,0.833333,1]
recall
0.911111 [0,0.7,0.971014,0,0.833333,0.75]
recall
0.944444 [0,1,0.956522,0,0.833333,1]
recall
0.944444 [0,0.9,0.971014,0,0.833333,1]
recall
0.9 [1,0.9,0.897059,0,1,0.75]
recall
0.888889 [0,0.5,0.971014,0,0.833333,0.75]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.933333 [0,0.8,0.956522,0,1,1]
recall
0.911111 [0,0.5,1,0,0.666667,1]
recall
0.911111 [0,0.9,0.941176,0,0.714286,1]
recall
0.922222 [0,0.888889,0.942029,0,0.857143,1]
recall
0.911111 [0,1,0.927536,0,0.714286,1]
recall
0.911111 [0,1,0.926471,0,0.857143,0.75]
recall
0.955556 [0,0.666667,1,0,1,1]
recall
0.922222 [0,0.8,0.941176,0,1,1]
recall
0.933333 [0,0.777778,1,0,0.571429,1]
recall
0.922222 [0,0.8,0.970588,0,0.714286,1]
recall
0.9 [0,0.8,0.913043,0,1,1]
recall
0.922222 [0,1,0.911765,0,1,1]
recall
0.922222 [0,0.6,0.985294,0,0.857143,1]
recall
0.911111 [0,0.8,0.955882,0,0.714286,1]
recall
0.9 [0,0.8,0.955882,0,0.571429,1]
recall
0.911111 [0,0.9,0.941176,0,0.714286,1]
recall
0.955556 [0,0.8,1,0,0.857143,1]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.888889 [0,0.7,0.955882,0,0.714286,0.75]
recall
0.9 [0,0.4,0.985294,0,1,0.75]
recall
0.844444 [1,0.8,0.838235,0,0.857143,1]
recall
0.9 [1,0.8,0.897059,0,1,1]
recall
0.888889 [1,0.1,1,0,0.857143,1]
recall
0.922222 [1,0.8,0.970588,0,0.857143,0.5]
recall
0.944444 [0,0.9,0.955882,0,1,1]
recall
0.888889 [1,0.5,0.941176,0,1,0.75]
recall
0.933333 [0,0.8,0.970588,0,0.857143,1]
recall
0.922222 [0,0.8,0.970588,0,0.714286,1]
recall
0.888889 [0,0.6,0.926471,0,1,1]
recall
0.944444 [0,0.9,0.970588,0,0.857143,1]
recall
0.877778 [0,0.7,0.985294,0,0.428571,0.5]
recall
0.922222 [0,0.7,0.970588,0,0.857143,1]
recall
0.9 [1,0.7,0.926471,0,0.857143,1]
recall
0.9 [0,0.6,0.970588,0,0.857143,0.75]
recall
0.877778 [0,0.7,0.911765,0,0.857143,1]
recall
0.9 [0,0.8,0.941176,0,0.714286,1]
recall
0.866667 [1,0.9,0.882353,0,0.714286,0.75]
recall
0.922222 [0,0.8,0.970588,0,0.714286,1]
recall
0.877778 [0,0.5,0.941176,0,0.857143,1]
recall
0.944444 [0,1,0.970588,0,0.714286,1]
recall
0.9 [0,1,0.911765,0,0.714286,1]
recall
0.888889 [0,0.6,0.941176,0,0.857143,1]
recall
0.911111 [0,0.8,0.927536,0,1,1]
recall
0.911111 [1,0.9,0.926471,0,0.714286,1]
recall
0.877778 [0,0.6,0.941176,0,1,0.5]
recall
0.955556 [0,1,0.970588,0,0.857143,1]
recall
0.822222 [0,0.7,0.852941,0,0.714286,1]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.911111 [0,0.9,0.926471,0,0.857143,1]
recall
0.9 [0,0.7,0.942029,0,0.833333,1]
recall
0.955556 [1,0.9,0.985294,0,0.714286,1]
recall
0.898876 [0,1,0.867647,0,1,1]
recall
0.921348 [0,0.8,0.956522,0,0.833333,0.75]
recall
0.977528 [0,0.9,0.985294,0,1,1]
recall
0.966292 [0,0.9,0.985294,0,0.857143,1]
recall
0.932584 [0,0.9,0.941176,0,0.857143,1]
recall
0.88764 [0,0.8,0.897059,0,0.857143,1]
recall
0.898876 [0,0.9,0.942029,0,0.333333,1]
recall
0.932584 [0,0.9,0.941176,0,0.857143,1]
recall
0.921348 [0,0.8,0.927536,0,1,1]
recall
0.932584 [0,0.9,0.941176,0,0.857143,1]
recall
0.88764 [0,0.7,0.941176,0,0.714286,0.75]
recall
0.932584 [0,0.8,0.956522,0,1,0.75]
recall
0.865169 [0,0.3,0.955882,0,0.857143,0.75]
recall
0.910112 [0,0.6,0.941176,0,1,1]
recall
0.921348 [0,0.666667,0.942029,0,1,1]
recall
0.898876 [0,0.5,0.955882,0,1,0.75]
recall
0.865169 [0,1,0.826087,0,1,1]
recall
0.94382 [0,0.8,0.955882,0,1,1]
recall
0.865169 [0,0.5,0.913043,0,0.833333,1]
recall
0.910112 [0,0.6,0.955882,0,0.857143,1]
relative_absolute_error
0.302585
relative_absolute_error
0.332398
relative_absolute_error
0.359493
relative_absolute_error
0.331912
relative_absolute_error
0.366176
relative_absolute_error
0.387524
relative_absolute_error
0.326873
relative_absolute_error
0.408361
relative_absolute_error
0.425516
relative_absolute_error
0.244124
relative_absolute_error
0.301582
relative_absolute_error
0.319934
relative_absolute_error
0.323627
relative_absolute_error
0.413015
relative_absolute_error
0.380291
relative_absolute_error
0.36024
relative_absolute_error
0.464997
relative_absolute_error
0.279262
relative_absolute_error
0.247701
relative_absolute_error
0.277394
relative_absolute_error
0.309719
relative_absolute_error
0.298895
relative_absolute_error
0.279512
relative_absolute_error
0.352349
relative_absolute_error
0.248961
relative_absolute_error
0.267208
relative_absolute_error
0.309128
relative_absolute_error
0.348982
relative_absolute_error
0.277885
relative_absolute_error
0.301178
relative_absolute_error
0.296725
relative_absolute_error
0.304713
relative_absolute_error
0.332569
relative_absolute_error
0.304649
relative_absolute_error
0.339906
relative_absolute_error
0.233662
relative_absolute_error
0.35124
relative_absolute_error
0.260608
relative_absolute_error
0.311074
relative_absolute_error
0.370784
relative_absolute_error
0.270805
relative_absolute_error
0.346612
relative_absolute_error
0.276545
relative_absolute_error
0.326357
relative_absolute_error
0.301736
relative_absolute_error
0.200095
relative_absolute_error
0.310308
relative_absolute_error
0.33399
relative_absolute_error
0.370396
relative_absolute_error
0.426171
relative_absolute_error
0.35347
relative_absolute_error
0.363252
relative_absolute_error
0.305192
relative_absolute_error
0.201308
relative_absolute_error
0.3136
relative_absolute_error
0.271379
relative_absolute_error
0.306482
relative_absolute_error
0.3092
relative_absolute_error
0.274213
relative_absolute_error
0.325639
relative_absolute_error
0.3622
relative_absolute_error
0.380033
relative_absolute_error
0.35657
relative_absolute_error
0.38879
relative_absolute_error
0.320932
relative_absolute_error
0.439924
relative_absolute_error
0.255256
relative_absolute_error
0.419343
relative_absolute_error
0.242006
relative_absolute_error
0.349633
relative_absolute_error
0.332797
relative_absolute_error
0.326506
relative_absolute_error
0.357979
relative_absolute_error
0.363418
relative_absolute_error
0.255798
relative_absolute_error
0.493862
relative_absolute_error
0.342347
relative_absolute_error
0.367011
relative_absolute_error
0.372802
relative_absolute_error
0.253615
relative_absolute_error
0.33544
relative_absolute_error
0.253976
relative_absolute_error
0.201306
relative_absolute_error
0.187996
relative_absolute_error
0.327481
relative_absolute_error
0.357223
relative_absolute_error
0.359581
relative_absolute_error
0.280392
relative_absolute_error
0.315293
relative_absolute_error
0.296877
relative_absolute_error
0.366457
relative_absolute_error
0.288513
relative_absolute_error
0.377892
relative_absolute_error
0.298663
relative_absolute_error
0.333929
relative_absolute_error
0.408671
relative_absolute_error
0.392187
relative_absolute_error
0.219615
relative_absolute_error
0.412431
relative_absolute_error
0.290572
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251998
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_squared_error
0.15253
root_mean_squared_error
0.155022
root_mean_squared_error
0.149992
root_mean_squared_error
0.149706
root_mean_squared_error
0.154307
root_mean_squared_error
0.153102
root_mean_squared_error
0.161156
root_mean_squared_error
0.14873
root_mean_squared_error
0.173704
root_mean_squared_error
0.118271
root_mean_squared_error
0.150708
root_mean_squared_error
0.159558
root_mean_squared_error
0.151636
root_mean_squared_error
0.167533
root_mean_squared_error
0.179295
root_mean_squared_error
0.162171
root_mean_squared_error
0.168606
root_mean_squared_error
0.147443
root_mean_squared_error
0.11243
root_mean_squared_error
0.128275
root_mean_squared_error
0.14001
root_mean_squared_error
0.159937
root_mean_squared_error
0.137571
root_mean_squared_error
0.166695
root_mean_squared_error
0.139797
root_mean_squared_error
0.127272
root_mean_squared_error
0.146663
root_mean_squared_error
0.158419
root_mean_squared_error
0.140115
root_mean_squared_error
0.133663
root_mean_squared_error
0.145324
root_mean_squared_error
0.154411
root_mean_squared_error
0.147297
root_mean_squared_error
0.147518
root_mean_squared_error
0.15375
root_mean_squared_error
0.121207
root_mean_squared_error
0.158916
root_mean_squared_error
0.139302
root_mean_squared_error
0.145172
root_mean_squared_error
0.162423
root_mean_squared_error
0.143762
root_mean_squared_error
0.149443
root_mean_squared_error
0.145516
root_mean_squared_error
0.164587
root_mean_squared_error
0.155005
root_mean_squared_error
0.113322
root_mean_squared_error
0.14077
root_mean_squared_error
0.167709
root_mean_squared_error
0.165736
root_mean_squared_error
0.176203
root_mean_squared_error
0.154092
root_mean_squared_error
0.143956
root_mean_squared_error
0.142851
root_mean_squared_error
0.125168
root_mean_squared_error
0.149968
root_mean_squared_error
0.141925
root_mean_squared_error
0.146367
root_mean_squared_error
0.160411
root_mean_squared_error
0.131692
root_mean_squared_error
0.179112
root_mean_squared_error
0.147417
root_mean_squared_error
0.164172
root_mean_squared_error
0.171824
root_mean_squared_error
0.168376
root_mean_squared_error
0.1468
root_mean_squared_error
0.194859
root_mean_squared_error
0.138384
root_mean_squared_error
0.172941
root_mean_squared_error
0.134832
root_mean_squared_error
0.164518
root_mean_squared_error
0.157955
root_mean_squared_error
0.138213
root_mean_squared_error
0.163849
root_mean_squared_error
0.174977
root_mean_squared_error
0.12007
root_mean_squared_error
0.202673
root_mean_squared_error
0.14164
root_mean_squared_error
0.161652
root_mean_squared_error
0.159148
root_mean_squared_error
0.129811
root_mean_squared_error
0.14096
root_mean_squared_error
0.132284
root_mean_squared_error
0.093728
root_mean_squared_error
0.103965
root_mean_squared_error
0.128654
root_mean_squared_error
0.15718
root_mean_squared_error
0.160604
root_mean_squared_error
0.136726
root_mean_squared_error
0.145391
root_mean_squared_error
0.143751
root_mean_squared_error
0.171533
root_mean_squared_error
0.141606
root_mean_squared_error
0.173153
root_mean_squared_error
0.13271
root_mean_squared_error
0.142045
root_mean_squared_error
0.167983
root_mean_squared_error
0.156304
root_mean_squared_error
0.120889
root_mean_squared_error
0.177186
root_mean_squared_error
0.139691
root_relative_squared_error
0.59502
root_relative_squared_error
0.604741
root_relative_squared_error
0.585704
root_relative_squared_error
0.584585
root_relative_squared_error
0.602553
root_relative_squared_error
0.597847
root_relative_squared_error
0.629296
root_relative_squared_error
0.580776
root_relative_squared_error
0.677619
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.633259
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.430804
root_relative_squared_error
0.5009
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.574606
root_relative_squared_error
0.575467
root_relative_squared_error
0.589129
root_relative_squared_error
0.472829
root_relative_squared_error
0.608925
root_relative_squared_error
0.543415
root_relative_squared_error
0.55626
root_relative_squared_error
0.634243
root_relative_squared_error
0.550859
root_relative_squared_error
0.572625
root_relative_squared_error
0.557578
root_relative_squared_error
0.630654
root_relative_squared_error
0.59394
root_relative_squared_error
0.434222
root_relative_squared_error
0.539395
root_relative_squared_error
0.642618
root_relative_squared_error
0.635059
root_relative_squared_error
0.675165
root_relative_squared_error
0.590439
root_relative_squared_error
0.551603
root_relative_squared_error
0.547367
root_relative_squared_error
0.479611
root_relative_squared_error
0.574637
root_relative_squared_error
0.543819
root_relative_squared_error
0.560839
root_relative_squared_error
0.614654
root_relative_squared_error
0.504609
root_relative_squared_error
0.686311
root_relative_squared_error
0.564866
root_relative_squared_error
0.629065
root_relative_squared_error
0.658386
root_relative_squared_error
0.645173
root_relative_squared_error
0.5625
root_relative_squared_error
0.746649
root_relative_squared_error
0.530253
root_relative_squared_error
0.662663
root_relative_squared_error
0.516641
root_relative_squared_error
0.630391
root_relative_squared_error
0.605242
root_relative_squared_error
0.539707
root_relative_squared_error
0.627828
root_relative_squared_error
0.670468
root_relative_squared_error
0.460078
root_relative_squared_error
0.776591
root_relative_squared_error
0.542728
root_relative_squared_error
0.619408
root_relative_squared_error
0.621456
root_relative_squared_error
0.497403
root_relative_squared_error
0.548991
root_relative_squared_error
0.525489
root_relative_squared_error
0.365039
root_relative_squared_error
0.404907
root_relative_squared_error
0.501065
root_relative_squared_error
0.612164
root_relative_squared_error
0.637989
root_relative_squared_error
0.532501
root_relative_squared_error
0.577558
root_relative_squared_error
0.559863
root_relative_squared_error
0.668064
root_relative_squared_error
0.562521
root_relative_squared_error
0.674372
root_relative_squared_error
0.516861
root_relative_squared_error
0.563676
root_relative_squared_error
0.654238
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