439129
2
Joaquin Vanschoren
4321
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2066
weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 160 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
R
1.0
1164
A
5
1164
M
-1
1164
G
3
1196
H
3
1196
P
50
1196
F
weka.filters.unsupervised.attribute.PrincipalComponents
1196
S
1
1196
num-slots
1
1196
I
160
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
750
pm10
https://www.openml.org/data/download/53284/pm10.arff
-1
1536350
description
https://api.openml.org/data/download/1536350/weka_generated_run567991939805727280.xml
-1
1536352
model_readable
https://api.openml.org/data/download/1536352/WekaModel_weka.classifiers.meta.RotationForest2839067806095882568.model
-1
1536351
model_serialized
https://api.openml.org/data/download/1536351/WekaSerialized_weka.classifiers.meta.RotationForest6876933697916472387.model
-1
1536353
predictions
https://api.openml.org/data/download/1536353/weka_generated_predictions7112259671849958360.arff
area_under_roc_curve
0.561501 [0.561501,0.561501]
average_cost
0
f_measure
0.512215 [0.652834,0.367024]
kappa
0.094987
kb_relative_information_score
17.845972
mean_absolute_error
0.498661
mean_prior_absolute_error
0.499873
number_of_instances
5000 [2540,2460]
os_information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
precision
0.568883 [0.53803,0.600739]
predictive_accuracy
0.5516
prior_entropy
0.999817
recall
0.5516 [0.829921,0.264228]
relative_absolute_error
0.997577
root_mean_prior_squared_error
0.499936
root_mean_squared_error
0.499101
root_relative_squared_error
0.998329
scimark_benchmark
1051.249013 [708.1772627393548, 995.3280053932883, 503.63125673996535, 1161.985793989865, 1887.1227479440583]
total_cost
0
usercpu_time_millis
2600
usercpu_time_millis_testing
1540
usercpu_time_millis_training
1060
area_under_roc_curve
0.598558 [0.598558,0.598558]
area_under_roc_curve
0.525641 [0.525641,0.525641]
area_under_roc_curve
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area_under_roc_curve
0.5384 [0.5384,0.5384]
area_under_roc_curve
0.635417 [0.635417,0.635417]
area_under_roc_curve
0.5072 [0.5072,0.5072]
area_under_roc_curve
0.644 [0.644,0.644]
area_under_roc_curve
0.424679 [0.424679,0.424679]
area_under_roc_curve
0.5088 [0.5088,0.5088]
area_under_roc_curve
0.55609 [0.55609,0.55609]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.661058 [0.661058,0.661058]
area_under_roc_curve
0.4488 [0.4488,0.4488]
area_under_roc_curve
0.485577 [0.485577,0.485577]
area_under_roc_curve
0.5488 [0.5488,0.5488]
area_under_roc_curve
0.6576 [0.6576,0.6576]
area_under_roc_curve
0.588942 [0.588942,0.588942]
area_under_roc_curve
0.7128 [0.7128,0.7128]
area_under_roc_curve
0.598558 [0.598558,0.598558]
area_under_roc_curve
0.528846 [0.528846,0.528846]
area_under_roc_curve
0.483974 [0.483974,0.483974]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.633013 [0.633013,0.633013]
area_under_roc_curve
0.4944 [0.4944,0.4944]
area_under_roc_curve
0.5024 [0.5024,0.5024]
area_under_roc_curve
0.453526 [0.453526,0.453526]
area_under_roc_curve
0.7088 [0.7088,0.7088]
area_under_roc_curve
0.595353 [0.595353,0.595353]
area_under_roc_curve
0.610577 [0.610577,0.610577]
area_under_roc_curve
0.691506 [0.691506,0.691506]
area_under_roc_curve
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area_under_roc_curve
0.6848 [0.6848,0.6848]
area_under_roc_curve
0.650641 [0.650641,0.650641]
area_under_roc_curve
0.5672 [0.5672,0.5672]
area_under_roc_curve
0.6432 [0.6432,0.6432]
area_under_roc_curve
0.572917 [0.572917,0.572917]
area_under_roc_curve
0.6376 [0.6376,0.6376]
area_under_roc_curve
0.455929 [0.455929,0.455929]
area_under_roc_curve
0.6208 [0.6208,0.6208]
area_under_roc_curve
0.668 [0.668,0.668]
area_under_roc_curve
0.5896 [0.5896,0.5896]
area_under_roc_curve
0.5248 [0.5248,0.5248]
area_under_roc_curve
0.624 [0.624,0.624]
area_under_roc_curve
0.6408 [0.6408,0.6408]
area_under_roc_curve
0.592 [0.592,0.592]
area_under_roc_curve
0.6592 [0.6592,0.6592]
area_under_roc_curve
0.5824 [0.5824,0.5824]
area_under_roc_curve
0.6176 [0.6176,0.6176]
area_under_roc_curve
0.6888 [0.6888,0.6888]
area_under_roc_curve
0.5056 [0.5056,0.5056]
area_under_roc_curve
0.444 [0.444,0.444]
area_under_roc_curve
0.5736 [0.5736,0.5736]
area_under_roc_curve
0.4384 [0.4384,0.4384]
area_under_roc_curve
0.6032 [0.6032,0.6032]
area_under_roc_curve
0.6256 [0.6256,0.6256]
area_under_roc_curve
0.612 [0.612,0.612]
area_under_roc_curve
0.6768 [0.6768,0.6768]
area_under_roc_curve
0.5576 [0.5576,0.5576]
area_under_roc_curve
0.5848 [0.5848,0.5848]
area_under_roc_curve
0.5264 [0.5264,0.5264]
area_under_roc_curve
0.4536 [0.4536,0.4536]
area_under_roc_curve
0.677083 [0.677083,0.677083]
area_under_roc_curve
0.5736 [0.5736,0.5736]
area_under_roc_curve
0.650641 [0.650641,0.650641]
area_under_roc_curve
0.576122 [0.576122,0.576122]
area_under_roc_curve
0.5168 [0.5168,0.5168]
area_under_roc_curve
0.423077 [0.423077,0.423077]
area_under_roc_curve
0.5768 [0.5768,0.5768]
area_under_roc_curve
0.7704 [0.7704,0.7704]
area_under_roc_curve
0.576 [0.576,0.576]
area_under_roc_curve
0.5864 [0.5864,0.5864]
area_under_roc_curve
0.596955 [0.596955,0.596955]
area_under_roc_curve
0.5416 [0.5416,0.5416]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.551282 [0.551282,0.551282]
area_under_roc_curve
0.456 [0.456,0.456]
area_under_roc_curve
0.596154 [0.596154,0.596154]
area_under_roc_curve
0.5736 [0.5736,0.5736]
area_under_roc_curve
0.5664 [0.5664,0.5664]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.527244 [0.527244,0.527244]
area_under_roc_curve
0.6384 [0.6384,0.6384]
area_under_roc_curve
0.570513 [0.570513,0.570513]
area_under_roc_curve
0.675481 [0.675481,0.675481]
area_under_roc_curve
0.6624 [0.6624,0.6624]
area_under_roc_curve
0.497596 [0.497596,0.497596]
area_under_roc_curve
0.5648 [0.5648,0.5648]
area_under_roc_curve
0.6528 [0.6528,0.6528]
area_under_roc_curve
0.5984 [0.5984,0.5984]
area_under_roc_curve
0.5336 [0.5336,0.5336]
area_under_roc_curve
0.465545 [0.465545,0.465545]
area_under_roc_curve
0.5328 [0.5328,0.5328]
area_under_roc_curve
0.512019 [0.512019,0.512019]
area_under_roc_curve
0.345353 [0.345353,0.345353]
area_under_roc_curve
0.6528 [0.6528,0.6528]
area_under_roc_curve
0.636218 [0.636218,0.636218]
area_under_roc_curve
0.7304 [0.7304,0.7304]
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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average_cost
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f_measure
0.485 [0.625,0.333333]
f_measure
0.562522 [0.655738,0.461538]
f_measure
0.486947 [0.656716,0.30303]
f_measure
0.554367 [0.69697,0.411765]
f_measure
0.560071 [0.69697,0.411765]
f_measure
0.392909 [0.647887,0.137931]
f_measure
0.538462 [0.676923,0.4]
f_measure
0.527917 [0.65625,0.388889]
f_measure
0.463749 [0.603175,0.324324]
f_measure
0.544 [0.676923,0.4]
f_measure
0.469754 [0.551724,0.380952]
f_measure
0.544 [0.676923,0.4]
f_measure
0.604187 [0.688525,0.512821]
f_measure
0.420849 [0.571429,0.27027]
f_measure
0.500571 [0.646154,0.342857]
f_measure
0.50665 [0.634921,0.378378]
f_measure
0.540441 [0.705882,0.375]
f_measure
0.554234 [0.666667,0.432432]
f_measure
0.575552 [0.677419,0.473684]
f_measure
0.55133 [0.62069,0.47619]
f_measure
0.504 [0.6,0.4]
f_measure
0.457143 [0.615385,0.285714]
f_measure
0.51178 [0.634921,0.378378]
f_measure
0.54955 [0.666667,0.432432]
f_measure
0.51178 [0.634921,0.378378]
f_measure
0.565936 [0.644068,0.487805]
f_measure
0.50665 [0.634921,0.378378]
f_measure
0.479193 [0.590164,0.358974]
f_measure
0.52381 [0.714286,0.333333]
f_measure
0.469326 [0.603175,0.324324]
f_measure
0.596688 [0.698413,0.486486]
f_measure
0.645851 [0.721311,0.564103]
f_measure
0.486947 [0.656716,0.30303]
f_measure
0.57033 [0.716418,0.424242]
f_measure
0.442334 [0.626866,0.242424]
f_measure
0.462366 [0.666667,0.258065]
f_measure
0.607276 [0.677966,0.536585]
f_measure
0.562618 [0.724638,0.387097]
f_measure
0.428571 [0.657143,0.2]
f_measure
0.457143 [0.615385,0.285714]
f_measure
0.52381 [0.714286,0.333333]
f_measure
0.575552 [0.677419,0.473684]
f_measure
0.494505 [0.646154,0.342857]
f_measure
0.466338 [0.551724,0.380952]
f_measure
0.558638 [0.655738,0.461538]
f_measure
0.465241 [0.636364,0.294118]
f_measure
0.448529 [0.647059,0.25]
f_measure
0.617997 [0.709677,0.526316]
f_measure
0.448217 [0.580645,0.315789]
f_measure
0.490662 [0.612903,0.368421]
f_measure
0.522569 [0.65625,0.388889]
f_measure
0.494505 [0.646154,0.342857]
f_measure
0.406593 [0.584615,0.228571]
f_measure
0.448529 [0.647059,0.25]
f_measure
0.5 [0.6,0.4]
f_measure
0.589491 [0.655172,0.52381]
f_measure
0.509804 [0.666667,0.352941]
f_measure
0.554367 [0.69697,0.411765]
f_measure
0.626374 [0.738462,0.514286]
f_measure
0.575552 [0.677419,0.473684]
f_measure
0.479873 [0.656716,0.30303]
f_measure
0.474569 [0.590164,0.358974]
f_measure
0.420849 [0.571429,0.27027]
f_measure
0.596688 [0.698413,0.486486]
f_measure
0.465241 [0.636364,0.294118]
f_measure
0.51178 [0.634921,0.378378]
f_measure
0.527917 [0.65625,0.388889]
f_measure
0.434645 [0.626866,0.242424]
f_measure
0.395864 [0.52459,0.25641]
f_measure
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f_measure
0.490044 [0.704225,0.275862]
f_measure
0.355159 [0.638889,0.071429]
f_measure
0.428571 [0.657143,0.2]
f_measure
0.586667 [0.666667,0.5]
f_measure
0.509804 [0.666667,0.352941]
f_measure
0.604064 [0.727273,0.470588]
f_measure
0.457143 [0.615385,0.285714]
f_measure
0.458333 [0.566667,0.35]
f_measure
0.560071 [0.69697,0.411765]
f_measure
0.494505 [0.646154,0.342857]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.674286 [0.769231,0.571429]
f_measure
0.494485 [0.676471,0.3125]
f_measure
0.485 [0.625,0.333333]
f_measure
0.479873 [0.656716,0.30303]
f_measure
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f_measure
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f_measure
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f_measure
0.516078 [0.666667,0.352941]
f_measure
0.494505 [0.646154,0.342857]
f_measure
0.560071 [0.69697,0.411765]
f_measure
0.399167 [0.5625,0.222222]
f_measure
0.52381 [0.714286,0.333333]
f_measure
0.570833 [0.6875,0.444444]
f_measure
0.522569 [0.65625,0.388889]
kappa
0.019608
kappa
0.146341
kappa
0.055829
kappa
0.2
kappa
0.180328
kappa
0
kappa
0.16
kappa
0.101307
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0
kappa
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kappa
0.227642
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kappa
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kappa
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kappa
0.025974
kappa
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kappa
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kappa
0.16
kappa
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kappa
0.16
kappa
0.08
kappa
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0.2
kappa
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kappa
0.225122
kappa
0.308943
kappa
0.055829
kappa
0.24
kappa
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kappa
0.08
kappa
0.24
kappa
0.217463
kappa
0.04
kappa
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0.2
kappa
0.2
kappa
0.08
kappa
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kappa
0.16
kappa
0.04
kappa
0.04
kappa
0.28
kappa
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kappa
0.04
kappa
0.12
kappa
0.08
kappa
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kappa
0.04
kappa
0.04
kappa
0.2
kappa
0.12
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0.2
kappa
0.32
kappa
0.2
kappa
0.08
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0
kappa
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kappa
0.225122
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0.04
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0.06199
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0.101307
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0
kappa
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0.04
kappa
0.16
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0.04
kappa
0.188312
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0.12
kappa
0.262295
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0.180328
kappa
0.08
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0
kappa
0.16
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0.16
kappa
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0.12
kappa
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kappa
0.386252
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0.12
kappa
0.019608
kappa
0.08
kappa
0.16
kappa
0.16
kappa
0.08
kappa
0.098361
kappa
0.08
kappa
0.180328
kappa
-0.143791
kappa
0.2
kappa
0.183007
kappa
0.12
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0.295232
kb_relative_information_score
0.224863
kb_relative_information_score
0.285764
kb_relative_information_score
0.311941
kb_relative_information_score
0.189543
kb_relative_information_score
0.073118
kb_relative_information_score
0.561584
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.332935
kb_relative_information_score
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kb_relative_information_score
0.139438
kb_relative_information_score
0.506806
kb_relative_information_score
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kb_relative_information_score
0.071927
kb_relative_information_score
0.045044
kb_relative_information_score
0.353837
kb_relative_information_score
0.350946
kb_relative_information_score
0.592058
kb_relative_information_score
0.330525
kb_relative_information_score
0.049729
kb_relative_information_score
0.191311
kb_relative_information_score
0.382672
kb_relative_information_score
0.540572
kb_relative_information_score
0.036433
kb_relative_information_score
0.076835
kb_relative_information_score
0.031578
kb_relative_information_score
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kb_relative_information_score
0.405287
kb_relative_information_score
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kb_relative_information_score
0.378449
kb_relative_information_score
0.441199
kb_relative_information_score
0.34514
kb_relative_information_score
0.4843
kb_relative_information_score
0.181639
kb_relative_information_score
0.17057
kb_relative_information_score
0.462722
kb_relative_information_score
0.290521
kb_relative_information_score
-0.035957
kb_relative_information_score
-0.044179
kb_relative_information_score
0.281494
kb_relative_information_score
0.078881
kb_relative_information_score
0.265201
kb_relative_information_score
-0.29213
kb_relative_information_score
0.266119
kb_relative_information_score
0.366804
kb_relative_information_score
0.301052
kb_relative_information_score
0.524341
kb_relative_information_score
0.123142
kb_relative_information_score
0.369944
kb_relative_information_score
0.594058
kb_relative_information_score
0.203548
kb_relative_information_score
-0.182229
kb_relative_information_score
0.228698
kb_relative_information_score
-0.023925
kb_relative_information_score
0.420457
kb_relative_information_score
0.40953
kb_relative_information_score
0.538161
kb_relative_information_score
0.531641
kb_relative_information_score
0.451021
kb_relative_information_score
0.182367
kb_relative_information_score
0.001111
kb_relative_information_score
-0.410423
kb_relative_information_score
0.372363
kb_relative_information_score
0.286366
kb_relative_information_score
0.393726
kb_relative_information_score
0.196982
kb_relative_information_score
0.166473
kb_relative_information_score
-0.64923
kb_relative_information_score
-0.016408
kb_relative_information_score
0.403283
kb_relative_information_score
0.00278
kb_relative_information_score
0.214611
kb_relative_information_score
0.215746
kb_relative_information_score
0.125291
kb_relative_information_score
0.563558
kb_relative_information_score
0.259348
kb_relative_information_score
-0.331474
kb_relative_information_score
0.493822
kb_relative_information_score
0.405816
kb_relative_information_score
0.171834
kb_relative_information_score
0.341296
kb_relative_information_score
0.166522
kb_relative_information_score
-0.168123
kb_relative_information_score
0.313322
kb_relative_information_score
0.35753
kb_relative_information_score
0.327875
kb_relative_information_score
0.441799
kb_relative_information_score
-0.272772
kb_relative_information_score
0.118318
kb_relative_information_score
0.441924
kb_relative_information_score
0.445197
kb_relative_information_score
0.150316
kb_relative_information_score
-0.133855
kb_relative_information_score
0.15303
kb_relative_information_score
-0.000921
kb_relative_information_score
-2.127426
kb_relative_information_score
0.28827
kb_relative_information_score
0.473654
kb_relative_information_score
0.517512
mean_absolute_error
0.497547
mean_absolute_error
0.498095
mean_absolute_error
0.497677
mean_absolute_error
0.497821
mean_absolute_error
0.498409
mean_absolute_error
0.499496
mean_absolute_error
0.496025
mean_absolute_error
0.500723
mean_absolute_error
0.5016
mean_absolute_error
0.497346
mean_absolute_error
0.505194
mean_absolute_error
0.498688
mean_absolute_error
0.496117
mean_absolute_error
0.500761
mean_absolute_error
0.499141
mean_absolute_error
0.49971
mean_absolute_error
0.497513
mean_absolute_error
0.497211
mean_absolute_error
0.495824
mean_absolute_error
0.497328
mean_absolute_error
0.499364
mean_absolute_error
0.498262
mean_absolute_error
0.49693
mean_absolute_error
0.496162
mean_absolute_error
0.499443
mean_absolute_error
0.499546
mean_absolute_error
0.499784
mean_absolute_error
0.501298
mean_absolute_error
0.497169
mean_absolute_error
0.500664
mean_absolute_error
0.497023
mean_absolute_error
0.496604
mean_absolute_error
0.497213
mean_absolute_error
0.496598
mean_absolute_error
0.498403
mean_absolute_error
0.498816
mean_absolute_error
0.496772
mean_absolute_error
0.497652
mean_absolute_error
0.500312
mean_absolute_error
0.499975
mean_absolute_error
0.498045
mean_absolute_error
0.499904
mean_absolute_error
0.498136
mean_absolute_error
0.502361
mean_absolute_error
0.498152
mean_absolute_error
0.497373
mean_absolute_error
0.49786
mean_absolute_error
0.496333
mean_absolute_error
0.499116
mean_absolute_error
0.497352
mean_absolute_error
0.495808
mean_absolute_error
0.498573
mean_absolute_error
0.501288
mean_absolute_error
0.49839
mean_absolute_error
0.500174
mean_absolute_error
0.497034
mean_absolute_error
0.497098
mean_absolute_error
0.4962
mean_absolute_error
0.496267
mean_absolute_error
0.496827
mean_absolute_error
0.498828
mean_absolute_error
0.499992
mean_absolute_error
0.502966
mean_absolute_error
0.497088
mean_absolute_error
0.497946
mean_absolute_error
0.49689
mean_absolute_error
0.498316
mean_absolute_error
0.498768
mean_absolute_error
0.504658
mean_absolute_error
0.500127
mean_absolute_error
0.497185
mean_absolute_error
0.499957
mean_absolute_error
0.498474
mean_absolute_error
0.49822
mean_absolute_error
0.499152
mean_absolute_error
0.49573
mean_absolute_error
0.497836
mean_absolute_error
0.502418
mean_absolute_error
0.496185
mean_absolute_error
0.497104
mean_absolute_error
0.498768
mean_absolute_error
0.497605
mean_absolute_error
0.498841
mean_absolute_error
0.500959
mean_absolute_error
0.49779
mean_absolute_error
0.49712
mean_absolute_error
0.497393
mean_absolute_error
0.496895
mean_absolute_error
0.501744
mean_absolute_error
0.499335
mean_absolute_error
0.49691
mean_absolute_error
0.496847
mean_absolute_error
0.498963
mean_absolute_error
0.500683
mean_absolute_error
0.498936
mean_absolute_error
0.499737
mean_absolute_error
0.516564
mean_absolute_error
0.497993
mean_absolute_error
0.496326
mean_absolute_error
0.496354
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
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mean_prior_absolute_error
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mean_prior_absolute_error
0.499681
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mean_prior_absolute_error
0.499681
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
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mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
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mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
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0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499681
mean_prior_absolute_error
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number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
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50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
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50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
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50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
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50 [25,25]
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number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
number_of_instances
50 [26,24]
number_of_instances
50 [25,25]
precision
0.513684 [0.526316,0.5]
precision
0.585143 [0.571429,0.6]
precision
0.545691 [0.536585,0.555556]
precision
0.669377 [0.560976,0.777778]
precision
0.635 [0.575,0.7]
precision
0.5 [0.5,0.5]
precision
0.625 [0.55,0.7]
precision
0.567368 [0.552632,0.583333]
precision
0.5 [0.5,0.5]
precision
0.598788 [0.564103,0.636364]
precision
0.473333 [0.5,0.444444]
precision
0.598788 [0.564103,0.636364]
precision
0.632 [0.6,0.666667]
precision
0.445175 [0.473684,0.416667]
precision
0.541818 [0.538462,0.545455]
precision
0.554825 [0.526316,0.583333]
precision
0.707641 [0.55814,0.857143]
precision
0.59052 [0.567568,0.615385]
precision
0.629938 [0.567568,0.692308]
precision
0.559167 [0.5625,0.555556]
precision
0.515294 [0.529412,0.5]
precision
0.484848 [0.512821,0.454545]
precision
0.539543 [0.540541,0.538462]
precision
0.609649 [0.552632,0.666667]
precision
0.539543 [0.540541,0.538462]
precision
0.591912 [0.558824,0.625]
precision
0.554825 [0.526316,0.583333]
precision
0.491429 [0.514286,0.466667]
precision
0.777778 [0.555556,1]
precision
0.488565 [0.513514,0.461538]
precision
0.641497 [0.594595,0.692308]
precision
0.678857 [0.628571,0.733333]
precision
0.545691 [0.536585,0.555556]
precision
0.723214 [0.571429,0.875]
precision
0.479675 [0.512195,0.444444]
precision
0.594697 [0.522727,0.666667]
precision
0.637868 [0.588235,0.6875]
precision
0.713754 [0.581395,0.857143]
precision
0.555556 [0.511111,0.6]
precision
0.484848 [0.512821,0.454545]
precision
0.777778 [0.555556,1]
precision
0.629938 [0.567568,0.692308]
precision
0.5625 [0.525,0.6]
precision
0.477718 [0.484848,0.470588]
precision
0.599206 [0.555556,0.642857]
precision
0.533875 [0.512195,0.555556]
precision
0.541528 [0.511628,0.571429]
precision
0.681913 [0.594595,0.769231]
precision
0.474012 [0.486486,0.461538]
precision
0.525988 [0.513514,0.538462]
precision
0.587413 [0.538462,0.636364]
precision
0.5625 [0.525,0.6]
precision
0.4375 [0.475,0.4]
precision
0.541528 [0.511628,0.571429]
precision
0.52381 [0.514286,0.533333]
precision
0.611408 [0.575758,0.647059]
precision
0.601626 [0.536585,0.666667]
precision
0.669377 [0.560976,0.777778]
precision
0.75 [0.6,0.9]
precision
0.629938 [0.567568,0.692308]
precision
0.574405 [0.52381,0.625]
precision
0.5 [0.5,0.5]
precision
0.445175 [0.473684,0.416667]
precision
0.641497 [0.594595,0.692308]
precision
0.533875 [0.512195,0.555556]
precision
0.539543 [0.540541,0.538462]
precision
0.567368 [0.552632,0.583333]
precision
0.5 [0.5,0.5]
precision
0.397714 [0.457143,0.333333]
precision
0.555556 [0.511111,0.6]
precision
0.771739 [0.543478,1]
precision
0.411348 [0.489362,0.333333]
precision
0.555556 [0.511111,0.6]
precision
0.605882 [0.588235,0.625]
precision
0.601626 [0.536585,0.666667]
precision
0.696 [0.6,0.8]
precision
0.484848 [0.512821,0.454545]
precision
0.47619 [0.485714,0.466667]
precision
0.635 [0.575,0.7]
precision
0.5625 [0.525,0.6]
precision
0.5 [0.5,0.5]
precision
0.689394 [0.545455,0.833333]
precision
0.689394 [0.545455,0.833333]
precision
0.38 [0.5,0.25]
precision
0.765957 [0.531915,1]
precision
0.495756 [0.516129,0.473684]
precision
0.769697 [0.641026,0.909091]
precision
0.624585 [0.534884,0.714286]
precision
0.513684 [0.526316,0.5]
precision
0.574405 [0.52381,0.625]
precision
0.599206 [0.555556,0.642857]
precision
0.591912 [0.558824,0.625]
precision
0.5625 [0.525,0.6]
precision
0.574 [0.55,0.6]
precision
0.5625 [0.525,0.6]
precision
0.635 [0.575,0.7]
precision
0.406316 [0.473684,0.333333]
precision
0.777778 [0.555556,1]
precision
0.621053 [0.578947,0.666667]
precision
0.587413 [0.538462,0.636364]
predictive_accuracy
0.52
predictive_accuracy
0.58
predictive_accuracy
0.54
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.58
predictive_accuracy
0.56
predictive_accuracy
0.5
predictive_accuracy
0.58
predictive_accuracy
0.48
predictive_accuracy
0.58
predictive_accuracy
0.62
predictive_accuracy
0.46
predictive_accuracy
0.54
predictive_accuracy
0.54
predictive_accuracy
0.6
predictive_accuracy
0.58
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.52
predictive_accuracy
0.5
predictive_accuracy
0.54
predictive_accuracy
0.58
predictive_accuracy
0.54
predictive_accuracy
0.58
predictive_accuracy
0.54
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
0.62
predictive_accuracy
0.66
predictive_accuracy
0.54
predictive_accuracy
0.62
predictive_accuracy
0.5
predictive_accuracy
0.54
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.52
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.54
predictive_accuracy
0.48
predictive_accuracy
0.58
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.64
predictive_accuracy
0.48
predictive_accuracy
0.52
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.46
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.6
predictive_accuracy
0.66
predictive_accuracy
0.6
predictive_accuracy
0.54
predictive_accuracy
0.5
predictive_accuracy
0.46
predictive_accuracy
0.62
predictive_accuracy
0.52
predictive_accuracy
0.54
predictive_accuracy
0.56
predictive_accuracy
0.5
predictive_accuracy
0.42
predictive_accuracy
0.52
predictive_accuracy
0.58
predictive_accuracy
0.48
predictive_accuracy
0.52
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.5
predictive_accuracy
0.48
predictive_accuracy
0.6
predictive_accuracy
0.54
predictive_accuracy
0.5
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.48
predictive_accuracy
0.56
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.56
predictive_accuracy
0.52
predictive_accuracy
0.54
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.54
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.6
predictive_accuracy
0.44
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.56
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
prior_entropy
0.999817
recall
0.52 [0.769231,0.25]
recall
0.58 [0.769231,0.375]
recall
0.54 [0.846154,0.208333]
recall
0.6 [0.92,0.28]
recall
0.6 [0.884615,0.291667]
recall
0.5 [0.92,0.08]
recall
0.58 [0.88,0.28]
recall
0.56 [0.807692,0.291667]
recall
0.5 [0.76,0.24]
recall
0.58 [0.846154,0.291667]
recall
0.48 [0.615385,0.333333]
recall
0.58 [0.846154,0.291667]
recall
0.62 [0.807692,0.416667]
recall
0.46 [0.72,0.2]
recall
0.54 [0.807692,0.25]
recall
0.54 [0.8,0.28]
recall
0.6 [0.96,0.24]
recall
0.58 [0.807692,0.333333]
recall
0.6 [0.84,0.36]
recall
0.56 [0.692308,0.416667]
recall
0.52 [0.692308,0.333333]
recall
0.5 [0.769231,0.208333]
recall
0.54 [0.769231,0.291667]
recall
0.58 [0.84,0.32]
recall
0.54 [0.769231,0.291667]
recall
0.58 [0.76,0.4]
recall
0.54 [0.8,0.28]
recall
0.5 [0.692308,0.291667]
recall
0.6 [1,0.2]
recall
0.5 [0.730769,0.25]
recall
0.62 [0.846154,0.375]
recall
0.66 [0.846154,0.458333]
recall
0.54 [0.846154,0.208333]
recall
0.62 [0.96,0.28]
recall
0.5 [0.807692,0.166667]
recall
0.54 [0.92,0.16]
recall
0.62 [0.8,0.44]
recall
0.62 [0.961538,0.25]
recall
0.52 [0.92,0.12]
recall
0.5 [0.769231,0.208333]
recall
0.6 [1,0.2]
recall
0.6 [0.84,0.36]
recall
0.54 [0.84,0.24]
recall
0.48 [0.64,0.32]
recall
0.58 [0.8,0.36]
recall
0.52 [0.84,0.2]
recall
0.52 [0.88,0.16]
recall
0.64 [0.88,0.4]
recall
0.48 [0.72,0.24]
recall
0.52 [0.76,0.28]
recall
0.56 [0.84,0.28]
recall
0.54 [0.84,0.24]
recall
0.46 [0.76,0.16]
recall
0.52 [0.88,0.16]
recall
0.52 [0.72,0.32]
recall
0.6 [0.76,0.44]
recall
0.56 [0.88,0.24]
recall
0.6 [0.92,0.28]
recall
0.66 [0.96,0.36]
recall
0.6 [0.84,0.36]
recall
0.54 [0.88,0.2]
recall
0.5 [0.72,0.28]
recall
0.46 [0.72,0.2]
recall
0.62 [0.846154,0.375]
recall
0.52 [0.84,0.2]
recall
0.54 [0.769231,0.291667]
recall
0.56 [0.807692,0.291667]
recall
0.5 [0.84,0.16]
recall
0.42 [0.615385,0.208333]
recall
0.52 [0.92,0.12]
recall
0.58 [1,0.16]
recall
0.48 [0.92,0.04]
recall
0.52 [0.92,0.12]
recall
0.6 [0.769231,0.416667]
recall
0.56 [0.88,0.24]
recall
0.64 [0.923077,0.333333]
recall
0.5 [0.769231,0.208333]
recall
0.48 [0.68,0.28]
recall
0.6 [0.884615,0.291667]
recall
0.54 [0.84,0.24]
recall
0.5 [0.8,0.2]
recall
0.58 [0.96,0.2]
recall
0.58 [0.96,0.2]
recall
0.48 [0.884615,0.041667]
recall
0.56 [1,0.12]
recall
0.5 [0.615385,0.375]
recall
0.7 [0.961538,0.416667]
recall
0.56 [0.92,0.2]
recall
0.52 [0.769231,0.25]
recall
0.54 [0.88,0.2]
recall
0.58 [0.8,0.36]
recall
0.58 [0.76,0.4]
recall
0.54 [0.84,0.24]
recall
0.56 [0.846154,0.25]
recall
0.54 [0.84,0.24]
recall
0.6 [0.884615,0.291667]
recall
0.44 [0.692308,0.166667]
recall
0.6 [1,0.2]
recall
0.6 [0.846154,0.333333]
recall
0.56 [0.84,0.28]
relative_absolute_error
0.995728
relative_absolute_error
0.996826
relative_absolute_error
0.995989
relative_absolute_error
0.995643
relative_absolute_error
0.997454
relative_absolute_error
0.998992
relative_absolute_error
0.99205
relative_absolute_error
1.002084
relative_absolute_error
1.0032
relative_absolute_error
0.995326
relative_absolute_error
1.011033
relative_absolute_error
0.998013
relative_absolute_error
0.992867
relative_absolute_error
1.001521
relative_absolute_error
0.998919
relative_absolute_error
0.999419
relative_absolute_error
0.995025
relative_absolute_error
0.995057
relative_absolute_error
0.991648
relative_absolute_error
0.995291
relative_absolute_error
0.999366
relative_absolute_error
0.99716
relative_absolute_error
0.994495
relative_absolute_error
0.992324
relative_absolute_error
0.999523
relative_absolute_error
0.999091
relative_absolute_error
0.999568
relative_absolute_error
1.003236
relative_absolute_error
0.994338
relative_absolute_error
1.001967
relative_absolute_error
0.99468
relative_absolute_error
0.993842
relative_absolute_error
0.99506
relative_absolute_error
0.993195
relative_absolute_error
0.997442
relative_absolute_error
0.997632
relative_absolute_error
0.993544
relative_absolute_error
0.99594
relative_absolute_error
1.000624
relative_absolute_error
1.000587
relative_absolute_error
0.99609
relative_absolute_error
0.999809
relative_absolute_error
0.996272
relative_absolute_error
1.004721
relative_absolute_error
0.996303
relative_absolute_error
0.994746
relative_absolute_error
0.99572
relative_absolute_error
0.992665
relative_absolute_error
0.998233
relative_absolute_error
0.994704
relative_absolute_error
0.991616
relative_absolute_error
0.997146
relative_absolute_error
1.002576
relative_absolute_error
0.99678
relative_absolute_error
1.000348
relative_absolute_error
0.994069
relative_absolute_error
0.994195
relative_absolute_error
0.9924
relative_absolute_error
0.992534
relative_absolute_error
0.993655
relative_absolute_error
0.997655
relative_absolute_error
0.999984
relative_absolute_error
1.005932
relative_absolute_error
0.994811
relative_absolute_error
0.995892
relative_absolute_error
0.994413
relative_absolute_error
0.997268
relative_absolute_error
0.997535
relative_absolute_error
1.00996
relative_absolute_error
1.000254
relative_absolute_error
0.99437
relative_absolute_error
0.999913
relative_absolute_error
0.996949
relative_absolute_error
0.997076
relative_absolute_error
0.998305
relative_absolute_error
0.992093
relative_absolute_error
0.996307
relative_absolute_error
1.004836
relative_absolute_error
0.993004
relative_absolute_error
0.994208
relative_absolute_error
0.997536
relative_absolute_error
0.995209
relative_absolute_error
0.997681
relative_absolute_error
1.002558
relative_absolute_error
0.99558
relative_absolute_error
0.994874
relative_absolute_error
0.995421
relative_absolute_error
0.99379
relative_absolute_error
1.004129
relative_absolute_error
0.998669
relative_absolute_error
0.99382
relative_absolute_error
0.993693
relative_absolute_error
0.997926
relative_absolute_error
1.002004
relative_absolute_error
0.997871
relative_absolute_error
1.000112
relative_absolute_error
1.033787
relative_absolute_error
0.995986
relative_absolute_error
0.993286
relative_absolute_error
0.992707
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_prior_squared_error
0.499745
root_mean_prior_squared_error
0.500063
root_mean_squared_error
0.498093
root_mean_squared_error
0.498444
root_mean_squared_error
0.497925
root_mean_squared_error
0.497999
root_mean_squared_error
0.49876
root_mean_squared_error
0.499813
root_mean_squared_error
0.496334
root_mean_squared_error
0.501247
root_mean_squared_error
0.502417
root_mean_squared_error
0.497526
root_mean_squared_error
0.50593
root_mean_squared_error
0.499175
root_mean_squared_error
0.496423
root_mean_squared_error
0.501398
root_mean_squared_error
0.499565
root_mean_squared_error
0.499891
root_mean_squared_error
0.497699
root_mean_squared_error
0.4975
root_mean_squared_error
0.496088
root_mean_squared_error
0.497614
root_mean_squared_error
0.500295
root_mean_squared_error
0.49873
root_mean_squared_error
0.497444
root_mean_squared_error
0.496554
root_mean_squared_error
0.49975
root_mean_squared_error
0.500418
root_mean_squared_error
0.500041
root_mean_squared_error
0.502181
root_mean_squared_error
0.497296
root_mean_squared_error
0.501506
root_mean_squared_error
0.497242
root_mean_squared_error
0.496796
root_mean_squared_error
0.497585
root_mean_squared_error
0.496766
root_mean_squared_error
0.498788
root_mean_squared_error
0.499351
root_mean_squared_error
0.496978
root_mean_squared_error
0.497782
root_mean_squared_error
0.50067
root_mean_squared_error
0.500633
root_mean_squared_error
0.498164
root_mean_squared_error
0.501057
root_mean_squared_error
0.498351
root_mean_squared_error
0.503529
root_mean_squared_error
0.498541
root_mean_squared_error
0.497883
root_mean_squared_error
0.498314
root_mean_squared_error
0.496637
root_mean_squared_error
0.499365
root_mean_squared_error
0.497693
root_mean_squared_error
0.496114
root_mean_squared_error
0.499004
root_mean_squared_error
0.502098
root_mean_squared_error
0.498669
root_mean_squared_error
0.500503
root_mean_squared_error
0.497225
root_mean_squared_error
0.497335
root_mean_squared_error
0.496457
root_mean_squared_error
0.49645
root_mean_squared_error
0.497216
root_mean_squared_error
0.499467
root_mean_squared_error
0.500523
root_mean_squared_error
0.503486
root_mean_squared_error
0.497185
root_mean_squared_error
0.498384
root_mean_squared_error
0.497312
root_mean_squared_error
0.498629
root_mean_squared_error
0.499135
root_mean_squared_error
0.506449
root_mean_squared_error
0.500533
root_mean_squared_error
0.497317
root_mean_squared_error
0.500348
root_mean_squared_error
0.498653
root_mean_squared_error
0.498481
root_mean_squared_error
0.499511
root_mean_squared_error
0.495891
root_mean_squared_error
0.498089
root_mean_squared_error
0.503175
root_mean_squared_error
0.496467
root_mean_squared_error
0.497524
root_mean_squared_error
0.499138
root_mean_squared_error
0.497787
root_mean_squared_error
0.498955
root_mean_squared_error
0.50151
root_mean_squared_error
0.498022
root_mean_squared_error
0.497752
root_mean_squared_error
0.497471
root_mean_squared_error
0.49711
root_mean_squared_error
0.502868
root_mean_squared_error
0.50025
root_mean_squared_error
0.497136
root_mean_squared_error
0.497144
root_mean_squared_error
0.499228
root_mean_squared_error
0.501201
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0.99383
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