428212
2
Joaquin Vanschoren
4315
Supervised Classification
predictive_accuracy
1195
weka.RealAdaBoost_DecisionStump(2)
2060
weka.classifiers.meta.RealAdaBoost -- -P 100 -H 1.0 -S 1 -I 80 -W weka.classifiers.trees.DecisionStump
P
100
1195
H
1.0
1195
S
1
1195
I
80
1195
W
weka.classifiers.trees.DecisionStump
1195
weka
weka_3.7.12
744
fri_c3_250_5
https://www.openml.org/data/download/53278/fri_c3_250_5.arff
-1
1495889
description
https://api.openml.org/data/download/1495889/weka_generated_run2065766478560569915.xml
-1
1495892
model_readable
https://api.openml.org/data/download/1495892/WekaModel_weka.classifiers.meta.RealAdaBoost6192082180586430547.model
-1
1495891
model_serialized
https://api.openml.org/data/download/1495891/WekaSerialized_weka.classifiers.meta.RealAdaBoost3836808811522254213.model
-1
1495890
predictions
https://api.openml.org/data/download/1495890/weka_generated_predictions3799513786544096100.arff
area_under_roc_curve
0.915088 [0.915088,0.915088]
average_cost
0
f_measure
0.835614 [0.808411,0.856643]
kappa
0.665142
kb_relative_information_score
1516.341526
mean_absolute_error
0.199812
mean_prior_absolute_error
0.491873
number_of_instances
2500 [1090,1410]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.835664 [0.82381,0.844828]
predictive_accuracy
0.836
prior_entropy
0.988337
recall
0.836 [0.793578,0.868794]
relative_absolute_error
0.406228
root_mean_prior_squared_error
0.495887
root_mean_squared_error
0.344171
root_relative_squared_error
0.69405
scimark_benchmark
938.311492 [554.431243089541, 1001.0155513775524, 479.99187728791736, 904.5686674515777, 1751.5501218345944]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.91 [0.91,0.91]
area_under_roc_curve
0.843333 [0.843333,0.843333]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.772727 [0.772727,0.772727]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.899351 [0.899351,0.899351]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
0.655844 [0.655844,0.655844]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.876623 [0.876623,0.876623]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.896104 [0.896104,0.896104]
area_under_roc_curve
0.941558 [0.941558,0.941558]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.831169 [0.831169,0.831169]
area_under_roc_curve
0.853896 [0.853896,0.853896]
area_under_roc_curve
0.876623 [0.876623,0.876623]
area_under_roc_curve
0.977273 [0.977273,0.977273]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.941558 [0.941558,0.941558]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.902597 [0.902597,0.902597]
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.866883 [0.866883,0.866883]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.717532 [0.717532,0.717532]
area_under_roc_curve
0.857143 [0.857143,0.857143]
area_under_roc_curve
0.912338 [0.912338,0.912338]
area_under_roc_curve
0.876623 [0.876623,0.876623]
area_under_roc_curve
0.811688 [0.811688,0.811688]
area_under_roc_curve
0.909091 [0.909091,0.909091]
area_under_roc_curve
0.928571 [0.928571,0.928571]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.931818 [0.931818,0.931818]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.987013 [0.987013,0.987013]
area_under_roc_curve
0.938312 [0.938312,0.938312]
area_under_roc_curve
0.957792 [0.957792,0.957792]
area_under_roc_curve
0.655844 [0.655844,0.655844]
area_under_roc_curve
0.886364 [0.886364,0.886364]
area_under_roc_curve
0.964286 [0.964286,0.964286]
area_under_roc_curve
0.886364 [0.886364,0.886364]
area_under_roc_curve
0.785714 [0.785714,0.785714]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.987013 [0.987013,0.987013]
area_under_roc_curve
0.970779 [0.970779,0.970779]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.850649 [0.850649,0.850649]
area_under_roc_curve
0.87013 [0.87013,0.87013]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
0.857143 [0.857143,0.857143]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.928571 [0.928571,0.928571]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.798701 [0.798701,0.798701]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.967532 [0.967532,0.967532]
area_under_roc_curve
0.944805 [0.944805,0.944805]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.87013 [0.87013,0.87013]
area_under_roc_curve
0.964286 [0.964286,0.964286]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.811688 [0.811688,0.811688]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.967532 [0.967532,0.967532]
area_under_roc_curve
0.88961 [0.88961,0.88961]
area_under_roc_curve
0.912338 [0.912338,0.912338]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
0.967532 [0.967532,0.967532]
area_under_roc_curve
0.863636 [0.863636,0.863636]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.844156 [0.844156,0.844156]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
0.827922 [0.827922,0.827922]
area_under_roc_curve
0.905844 [0.905844,0.905844]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.993506 [0.993506,0.993506]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
0.993506 [0.993506,0.993506]
area_under_roc_curve
0.844156 [0.844156,0.844156]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.957792 [0.957792,0.957792]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.853333 [0.853333,0.853333]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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f_measure
0.780952 [0.666667,0.857143]
f_measure
0.797963 [0.736842,0.83871]
f_measure
0.76 [0.7,0.8]
f_measure
0.76 [0.7,0.8]
f_measure
0.791444 [0.705882,0.848485]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.92 [0.9,0.933333]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.876333 [0.842105,0.903226]
f_measure
0.832222 [0.777778,0.875]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.838974 [0.846154,0.833333]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.681026 [0.666667,0.692308]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.92 [0.909091,0.928571]
f_measure
1 [1,1]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.832222 [0.777778,0.875]
f_measure
1 [1,1]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.674667 [0.6,0.733333]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.837333 [0.8,0.866667]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.88 [0.88,0.88]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.52 [0.454545,0.571429]
f_measure
0.756 [0.7,0.8]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.628998 [0.526316,0.709677]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.711443 [0.631579,0.774194]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.876333 [0.842105,0.903226]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.837333 [0.8,0.866667]
f_measure
0.880386 [0.869565,0.888889]
f_measure
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f_measure
0.711443 [0.631579,0.774194]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.832222 [0.777778,0.875]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.760769 [0.75,0.769231]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.760769 [0.75,0.769231]
f_measure
0.72 [0.72,0.72]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.756 [0.7,0.8]
f_measure
0.880386 [0.869565,0.888889]
f_measure
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f_measure
0.756 [0.7,0.8]
f_measure
0.841026 [0.833333,0.846154]
f_measure
0.92 [0.9,0.933333]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.881159 [0.869565,0.888889]
f_measure
0.754167 [0.666667,0.8125]
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kappa
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kappa
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kappa
0.561404
kappa
0.918033
kappa
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kappa
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kappa
0.749164
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.42623
kappa
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0.58194
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kappa
0.590164
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0.414716
kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
13.659617
kb_relative_information_score
20.863817
kb_relative_information_score
9.401619
kb_relative_information_score
14.691745
kb_relative_information_score
13.293548
kb_relative_information_score
16.953536
kb_relative_information_score
15.278446
kb_relative_information_score
3.133035
kb_relative_information_score
16.90163
kb_relative_information_score
16.216437
kb_relative_information_score
13.298066
kb_relative_information_score
17.800144
kb_relative_information_score
11.482454
kb_relative_information_score
14.895089
kb_relative_information_score
19.157663
kb_relative_information_score
9.207506
kb_relative_information_score
12.757939
kb_relative_information_score
14.689801
kb_relative_information_score
19.808489
kb_relative_information_score
22.604623
kb_relative_information_score
15.411335
kb_relative_information_score
16.503482
kb_relative_information_score
15.562144
kb_relative_information_score
23.224013
kb_relative_information_score
12.541929
kb_relative_information_score
17.500058
kb_relative_information_score
13.038469
kb_relative_information_score
14.160143
kb_relative_information_score
6.751994
kb_relative_information_score
11.731309
kb_relative_information_score
13.829727
kb_relative_information_score
17.417435
kb_relative_information_score
11.506971
kb_relative_information_score
15.852503
kb_relative_information_score
16.813768
kb_relative_information_score
21.085854
kb_relative_information_score
14.014667
kb_relative_information_score
18.607781
kb_relative_information_score
18.160917
kb_relative_information_score
17.072427
kb_relative_information_score
17.445822
kb_relative_information_score
4.769747
kb_relative_information_score
13.266097
kb_relative_information_score
16.498547
kb_relative_information_score
14.387912
kb_relative_information_score
7.442751
kb_relative_information_score
13.225709
kb_relative_information_score
19.278655
kb_relative_information_score
17.62816
kb_relative_information_score
14.001088
kb_relative_information_score
15.902154
kb_relative_information_score
12.951451
kb_relative_information_score
14.767953
kb_relative_information_score
12.78885
kb_relative_information_score
11.622212
kb_relative_information_score
12.808472
kb_relative_information_score
15.048447
kb_relative_information_score
17.626904
kb_relative_information_score
14.568702
kb_relative_information_score
17.639406
kb_relative_information_score
9.688611
kb_relative_information_score
18.740168
kb_relative_information_score
19.850882
kb_relative_information_score
17.917695
kb_relative_information_score
17.017367
kb_relative_information_score
17.428676
kb_relative_information_score
14.634113
kb_relative_information_score
18.006814
kb_relative_information_score
17.644449
kb_relative_information_score
11.751827
kb_relative_information_score
21.219485
kb_relative_information_score
19.876901
kb_relative_information_score
21.602521
kb_relative_information_score
16.715343
kb_relative_information_score
18.165149
kb_relative_information_score
13.23091
kb_relative_information_score
14.732177
kb_relative_information_score
13.392108
kb_relative_information_score
16.448336
kb_relative_information_score
13.240397
kb_relative_information_score
13.235801
kb_relative_information_score
14.404011
kb_relative_information_score
15.24807
kb_relative_information_score
10.932004
kb_relative_information_score
12.829161
kb_relative_information_score
18.244229
kb_relative_information_score
21.532457
kb_relative_information_score
13.348088
kb_relative_information_score
16.461034
kb_relative_information_score
20.339654
kb_relative_information_score
12.444262
kb_relative_information_score
12.93319
kb_relative_information_score
16.712656
kb_relative_information_score
15.531158
kb_relative_information_score
15.270503
kb_relative_information_score
11.586751
mean_absolute_error
0.167628
mean_absolute_error
0.190356
mean_absolute_error
0.28708
mean_absolute_error
0.256695
mean_absolute_error
0.21972
mean_absolute_error
0.093809
mean_absolute_error
0.309556
mean_absolute_error
0.210844
mean_absolute_error
0.240415
mean_absolute_error
0.172304
mean_absolute_error
0.193205
mean_absolute_error
0.423447
mean_absolute_error
0.167542
mean_absolute_error
0.183221
mean_absolute_error
0.243209
mean_absolute_error
0.153089
mean_absolute_error
0.277569
mean_absolute_error
0.212088
mean_absolute_error
0.132814
mean_absolute_error
0.311766
mean_absolute_error
0.252514
mean_absolute_error
0.206689
mean_absolute_error
0.108114
mean_absolute_error
0.06165
mean_absolute_error
0.195496
mean_absolute_error
0.171948
mean_absolute_error
0.190456
mean_absolute_error
0.045057
mean_absolute_error
0.247766
mean_absolute_error
0.153091
mean_absolute_error
0.244383
mean_absolute_error
0.212715
mean_absolute_error
0.364659
mean_absolute_error
0.263878
mean_absolute_error
0.229624
mean_absolute_error
0.157172
mean_absolute_error
0.269324
mean_absolute_error
0.18383
mean_absolute_error
0.16634
mean_absolute_error
0.09011
mean_absolute_error
0.230074
mean_absolute_error
0.135706
mean_absolute_error
0.141828
mean_absolute_error
0.166441
mean_absolute_error
0.153141
mean_absolute_error
0.3985
mean_absolute_error
0.23312
mean_absolute_error
0.176601
mean_absolute_error
0.216802
mean_absolute_error
0.344534
mean_absolute_error
0.243372
mean_absolute_error
0.11443
mean_absolute_error
0.151446
mean_absolute_error
0.209507
mean_absolute_error
0.187334
mean_absolute_error
0.244396
mean_absolute_error
0.209819
mean_absolute_error
0.249269
mean_absolute_error
0.262077
mean_absolute_error
0.244639
mean_absolute_error
0.214239
mean_absolute_error
0.160281
mean_absolute_error
0.216417
mean_absolute_error
0.150816
mean_absolute_error
0.304191
mean_absolute_error
0.132124
mean_absolute_error
0.109238
mean_absolute_error
0.157878
mean_absolute_error
0.169159
mean_absolute_error
0.152274
mean_absolute_error
0.21091
mean_absolute_error
0.141522
mean_absolute_error
0.154011
mean_absolute_error
0.259
mean_absolute_error
0.085387
mean_absolute_error
0.108215
mean_absolute_error
0.073974
mean_absolute_error
0.166063
mean_absolute_error
0.146312
mean_absolute_error
0.232588
mean_absolute_error
0.207518
mean_absolute_error
0.243901
mean_absolute_error
0.176954
mean_absolute_error
0.243857
mean_absolute_error
0.232458
mean_absolute_error
0.211502
mean_absolute_error
0.205302
mean_absolute_error
0.280378
mean_absolute_error
0.238529
mean_absolute_error
0.142334
mean_absolute_error
0.069553
mean_absolute_error
0.230487
mean_absolute_error
0.174247
mean_absolute_error
0.104204
mean_absolute_error
0.246292
mean_absolute_error
0.240042
mean_absolute_error
0.172073
mean_absolute_error
0.190089
mean_absolute_error
0.191607
mean_absolute_error
0.261108
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.492381
mean_prior_absolute_error
0.487302
mean_prior_absolute_error
0.487302
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [10,15]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
number_of_instances
25 [11,14]
number_of_instances
25 [10,15]
number_of_instances
25 [10,15]
precision
0.85 [1,0.75]
precision
0.798611 [0.777778,0.8125]
precision
0.76 [0.7,0.8]
precision
0.76 [0.7,0.8]
precision
0.809524 [0.857143,0.777778]
precision
0.962667 [1,0.933333]
precision
0.724103 [0.666667,0.769231]
precision
0.92 [0.9,0.933333]
precision
0.813235 [0.875,0.764706]
precision
0.93 [1,0.875]
precision
0.851795 [0.769231,0.916667]
precision
0.6 [0.545455,0.642857]
precision
0.88359 [0.833333,0.923077]
precision
0.901176 [1,0.823529]
precision
0.875556 [1,0.777778]
precision
0.92 [0.909091,0.928571]
precision
0.882667 [0.733333,1]
precision
0.88359 [0.833333,0.923077]
precision
0.962667 [1,0.933333]
precision
0.690769 [0.615385,0.75]
precision
0.851795 [0.769231,0.916667]
precision
0.803846 [0.75,0.846154]
precision
0.92 [0.909091,0.928571]
precision
1 [1,1]
precision
0.851795 [0.769231,0.916667]
precision
0.84 [0.818182,0.857143]
precision
0.875556 [1,0.777778]
precision
1 [1,1]
precision
0.781587 [0.857143,0.722222]
precision
0.881333 [0.9,0.866667]
precision
0.813235 [0.875,0.764706]
precision
0.781587 [0.857143,0.722222]
precision
0.678333 [0.666667,0.6875]
precision
0.724103 [0.666667,0.769231]
precision
0.803846 [0.75,0.846154]
precision
0.881333 [0.9,0.866667]
precision
0.76 [0.727273,0.785714]
precision
0.84 [0.818182,0.857143]
precision
0.846111 [0.888889,0.8125]
precision
0.963333 [0.916667,1]
precision
0.851795 [0.769231,0.916667]
precision
0.93 [1,0.875]
precision
0.93 [1,0.875]
precision
0.905714 [0.785714,1]
precision
0.881333 [0.9,0.866667]
precision
0.52 [0.454545,0.571429]
precision
0.762222 [0.777778,0.75]
precision
0.93 [1,0.875]
precision
0.8 [0.8,0.8]
precision
0.637353 [0.625,0.647059]
precision
0.8 [0.8,0.8]
precision
0.88359 [0.833333,0.923077]
precision
0.881333 [0.9,0.866667]
precision
0.718667 [0.7,0.733333]
precision
0.84 [0.818182,0.857143]
precision
0.813235 [0.875,0.764706]
precision
0.84 [0.818182,0.857143]
precision
0.8 [0.8,0.8]
precision
0.724103 [0.666667,0.769231]
precision
0.725294 [0.75,0.705882]
precision
0.932308 [0.846154,1]
precision
0.932308 [0.846154,1]
precision
0.88359 [0.833333,0.923077]
precision
0.88359 [0.833333,0.923077]
precision
0.718667 [0.7,0.733333]
precision
0.92 [0.909091,0.928571]
precision
0.92 [0.909091,0.928571]
precision
0.963333 [0.916667,1]
precision
0.901176 [1,0.823529]
precision
0.851795 [0.769231,0.916667]
precision
0.846111 [0.888889,0.8125]
precision
0.88359 [0.833333,0.923077]
precision
0.881333 [0.9,0.866667]
precision
0.725294 [0.75,0.705882]
precision
0.962667 [1,0.933333]
precision
0.962667 [1,0.933333]
precision
0.963333 [0.916667,1]
precision
0.84 [0.818182,0.857143]
precision
0.932308 [0.846154,1]
precision
0.76 [0.727273,0.785714]
precision
0.8 [0.8,0.8]
precision
0.88359 [0.833333,0.923077]
precision
0.875556 [1,0.777778]
precision
0.851795 [0.769231,0.916667]
precision
0.771282 [0.692308,0.833333]
precision
0.813235 [0.875,0.764706]
precision
0.881333 [0.9,0.866667]
precision
0.771282 [0.692308,0.833333]
precision
0.741039 [0.642857,0.818182]
precision
0.881333 [0.9,0.866667]
precision
0.92 [0.909091,0.928571]
precision
0.762222 [0.777778,0.75]
precision
0.88359 [0.833333,0.923077]
precision
0.963333 [0.916667,1]
precision
0.762222 [0.777778,0.75]
precision
0.885714 [0.714286,1]
precision
0.92 [0.9,0.933333]
precision
0.813235 [0.875,0.764706]
precision
0.907692 [0.769231,1]
precision
0.758824 [0.75,0.764706]
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.96
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.84
predictive_accuracy
0.6
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.96
predictive_accuracy
0.68
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
1
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
1
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.96
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.52
predictive_accuracy
0.76
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.64
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.96
predictive_accuracy
0.96
predictive_accuracy
0.96
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.88
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.96
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.76
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
prior_entropy
0.988337
recall
0.8 [0.5,1]
recall
0.8 [0.7,0.866667]
recall
0.76 [0.7,0.8]
recall
0.76 [0.7,0.8]
recall
0.8 [0.6,0.933333]
recall
0.96 [0.909091,1]
recall
0.72 [0.727273,0.714286]
recall
0.92 [0.9,0.933333]
recall
0.8 [0.636364,0.928571]
recall
0.92 [0.818182,1]
recall
0.84 [0.909091,0.785714]
recall
0.6 [0.545455,0.642857]
recall
0.88 [0.909091,0.857143]
recall
0.88 [0.727273,1]
recall
0.84 [0.636364,1]
recall
0.92 [0.909091,0.928571]
recall
0.84 [1,0.714286]
recall
0.88 [0.909091,0.857143]
recall
0.96 [0.909091,1]
recall
0.68 [0.727273,0.642857]
recall
0.84 [0.909091,0.785714]
recall
0.8 [0.818182,0.785714]
recall
0.92 [0.909091,0.928571]
recall
1 [1,1]
recall
0.84 [0.909091,0.785714]
recall
0.84 [0.818182,0.857143]
recall
0.84 [0.636364,1]
recall
1 [1,1]
recall
0.76 [0.545455,0.928571]
recall
0.88 [0.818182,0.928571]
recall
0.8 [0.636364,0.928571]
recall
0.76 [0.545455,0.928571]
recall
0.68 [0.545455,0.785714]
recall
0.72 [0.727273,0.714286]
recall
0.8 [0.818182,0.785714]
recall
0.88 [0.818182,0.928571]
recall
0.76 [0.727273,0.785714]
recall
0.84 [0.818182,0.857143]
recall
0.84 [0.727273,0.928571]
recall
0.96 [1,0.928571]
recall
0.84 [0.909091,0.785714]
recall
0.92 [0.818182,1]
recall
0.92 [0.818182,1]
recall
0.88 [1,0.785714]
recall
0.88 [0.818182,0.928571]
recall
0.52 [0.454545,0.571429]
recall
0.76 [0.636364,0.857143]
recall
0.92 [0.818182,1]
recall
0.8 [0.727273,0.857143]
recall
0.64 [0.454545,0.785714]
recall
0.8 [0.727273,0.857143]
recall
0.88 [0.909091,0.857143]
recall
0.88 [0.818182,0.928571]
recall
0.72 [0.636364,0.785714]
recall
0.84 [0.818182,0.857143]
recall
0.8 [0.636364,0.928571]
recall
0.84 [0.818182,0.857143]
recall
0.8 [0.727273,0.857143]
recall
0.72 [0.727273,0.714286]
recall
0.72 [0.545455,0.857143]
recall
0.92 [1,0.857143]
recall
0.92 [1,0.857143]
recall
0.88 [0.909091,0.857143]
recall
0.88 [0.909091,0.857143]
recall
0.72 [0.636364,0.785714]
recall
0.92 [0.909091,0.928571]
recall
0.92 [0.909091,0.928571]
recall
0.96 [1,0.928571]
recall
0.88 [0.727273,1]
recall
0.84 [0.909091,0.785714]
recall
0.84 [0.727273,0.928571]
recall
0.88 [0.909091,0.857143]
recall
0.88 [0.818182,0.928571]
recall
0.72 [0.545455,0.857143]
recall
0.96 [0.909091,1]
recall
0.96 [0.909091,1]
recall
0.96 [1,0.928571]
recall
0.84 [0.818182,0.857143]
recall
0.92 [1,0.857143]
recall
0.76 [0.727273,0.785714]
recall
0.8 [0.727273,0.857143]
recall
0.88 [0.909091,0.857143]
recall
0.84 [0.636364,1]
recall
0.84 [0.909091,0.785714]
recall
0.76 [0.818182,0.714286]
recall
0.8 [0.636364,0.928571]
recall
0.88 [0.818182,0.928571]
recall
0.76 [0.818182,0.714286]
recall
0.72 [0.818182,0.642857]
recall
0.88 [0.818182,0.928571]
recall
0.92 [0.909091,0.928571]
recall
0.76 [0.636364,0.857143]
recall
0.88 [0.909091,0.857143]
recall
0.96 [1,0.928571]
recall
0.76 [0.636364,0.857143]
recall
0.84 [1,0.733333]
recall
0.92 [0.9,0.933333]
recall
0.8 [0.636364,0.928571]
recall
0.88 [1,0.8]
recall
0.76 [0.6,0.866667]
relative_absolute_error
0.343992
relative_absolute_error
0.390634
relative_absolute_error
0.589122
relative_absolute_error
0.526768
relative_absolute_error
0.450891
relative_absolute_error
0.190522
relative_absolute_error
0.628692
relative_absolute_error
0.432677
relative_absolute_error
0.48827
relative_absolute_error
0.349941
relative_absolute_error
0.392389
relative_absolute_error
0.86
relative_absolute_error
0.340268
relative_absolute_error
0.372113
relative_absolute_error
0.493945
relative_absolute_error
0.310916
relative_absolute_error
0.563728
relative_absolute_error
0.430739
relative_absolute_error
0.269737
relative_absolute_error
0.633181
relative_absolute_error
0.512842
relative_absolute_error
0.419775
relative_absolute_error
0.219574
relative_absolute_error
0.125208
relative_absolute_error
0.397042
relative_absolute_error
0.349218
relative_absolute_error
0.386807
relative_absolute_error
0.091509
relative_absolute_error
0.5032
relative_absolute_error
0.310919
relative_absolute_error
0.496329
relative_absolute_error
0.432013
relative_absolute_error
0.740604
relative_absolute_error
0.535922
relative_absolute_error
0.466354
relative_absolute_error
0.319208
relative_absolute_error
0.546984
relative_absolute_error
0.373349
relative_absolute_error
0.337829
relative_absolute_error
0.183008
relative_absolute_error
0.467268
relative_absolute_error
0.275611
relative_absolute_error
0.288045
relative_absolute_error
0.338032
relative_absolute_error
0.311022
relative_absolute_error
0.809333
relative_absolute_error
0.473455
relative_absolute_error
0.358668
relative_absolute_error
0.440314
relative_absolute_error
0.699731
relative_absolute_error
0.494276
relative_absolute_error
0.232402
relative_absolute_error
0.30758
relative_absolute_error
0.425498
relative_absolute_error
0.380465
relative_absolute_error
0.496356
relative_absolute_error
0.426132
relative_absolute_error
0.506253
relative_absolute_error
0.532264
relative_absolute_error
0.496849
relative_absolute_error
0.435107
relative_absolute_error
0.325523
relative_absolute_error
0.439532
relative_absolute_error
0.3063
relative_absolute_error
0.617797
relative_absolute_error
0.268338
relative_absolute_error
0.221856
relative_absolute_error
0.320643
relative_absolute_error
0.343552
relative_absolute_error
0.309261
relative_absolute_error
0.428347
relative_absolute_error
0.287424
relative_absolute_error
0.312788
relative_absolute_error
0.526016
relative_absolute_error
0.173416
relative_absolute_error
0.219779
relative_absolute_error
0.150238
relative_absolute_error
0.337265
relative_absolute_error
0.297152
relative_absolute_error
0.472375
relative_absolute_error
0.421459
relative_absolute_error
0.49535
relative_absolute_error
0.359384
relative_absolute_error
0.495261
relative_absolute_error
0.47211
relative_absolute_error
0.42955
relative_absolute_error
0.416958
relative_absolute_error
0.569433
relative_absolute_error
0.484439
relative_absolute_error
0.289072
relative_absolute_error
0.141258
relative_absolute_error
0.468106
relative_absolute_error
0.353887
relative_absolute_error
0.211633
relative_absolute_error
0.500206
relative_absolute_error
0.492594
relative_absolute_error
0.353114
relative_absolute_error
0.386061
relative_absolute_error
0.393199
relative_absolute_error
0.535823
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.496399
root_mean_prior_squared_error
0.491256
root_mean_prior_squared_error
0.491256
root_mean_squared_error
0.330832
root_mean_squared_error
0.341432
root_mean_squared_error
0.428945
root_mean_squared_error
0.372221
root_mean_squared_error
0.389479
root_mean_squared_error
0.168492
root_mean_squared_error
0.484506
root_mean_squared_error
0.325364
root_mean_squared_error
0.374863
root_mean_squared_error
0.28748
root_mean_squared_error
0.360381
root_mean_squared_error
0.568162
root_mean_squared_error
0.337995
root_mean_squared_error
0.359312
root_mean_squared_error
0.387697
root_mean_squared_error
0.292638
root_mean_squared_error
0.369644
root_mean_squared_error
0.312058
root_mean_squared_error
0.219645
root_mean_squared_error
0.451545
root_mean_squared_error
0.385733
root_mean_squared_error
0.383039
root_mean_squared_error
0.25864
root_mean_squared_error
0.092847
root_mean_squared_error
0.308299
root_mean_squared_error
0.339243
root_mean_squared_error
0.318213
root_mean_squared_error
0.0862
root_mean_squared_error
0.408948
root_mean_squared_error
0.280517
root_mean_squared_error
0.38596
root_mean_squared_error
0.353798
root_mean_squared_error
0.468943
root_mean_squared_error
0.392423
root_mean_squared_error
0.358568
root_mean_squared_error
0.345049
root_mean_squared_error
0.457443
root_mean_squared_error
0.389433
root_mean_squared_error
0.318219
root_mean_squared_error
0.157924
root_mean_squared_error
0.326844
root_mean_squared_error
0.263416
root_mean_squared_error
0.26954
root_mean_squared_error
0.312219
root_mean_squared_error
0.314722
root_mean_squared_error
0.493166
root_mean_squared_error
0.377535
root_mean_squared_error
0.316071
root_mean_squared_error
0.350504
root_mean_squared_error
0.477596
root_mean_squared_error
0.366804
root_mean_squared_error
0.257495
root_mean_squared_error
0.266231
root_mean_squared_error
0.380177
root_mean_squared_error
0.307911
root_mean_squared_error
0.379135
root_mean_squared_error
0.37413
root_mean_squared_error
0.367857
root_mean_squared_error
0.432043
root_mean_squared_error
0.39351
root_mean_squared_error
0.308942
root_mean_squared_error
0.24552
root_mean_squared_error
0.35046
root_mean_squared_error
0.320292
root_mean_squared_error
0.413553
root_mean_squared_error
0.251519
root_mean_squared_error
0.224105
root_mean_squared_error
0.248628
root_mean_squared_error
0.288127
root_mean_squared_error
0.296628
root_mean_squared_error
0.384105
root_mean_squared_error
0.2943
root_mean_squared_error
0.294621
root_mean_squared_error
0.448204
root_mean_squared_error
0.162231
root_mean_squared_error
0.239729
root_mean_squared_error
0.204636
root_mean_squared_error
0.328993
root_mean_squared_error
0.280457
root_mean_squared_error
0.380327
root_mean_squared_error
0.345921
root_mean_squared_error
0.337642
root_mean_squared_error
0.302815
root_mean_squared_error
0.373863
root_mean_squared_error
0.390024
root_mean_squared_error
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