445440
2
Joaquin Vanschoren
4501
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
933
fri_c4_250_25
https://www.openml.org/data/download/53467/fri_c4_250_25.arff
-1
1560392
description
https://api.openml.org/data/download/1560392/weka_generated_run1823143437564654124.xml
-1
1560395
model_readable
https://api.openml.org/data/download/1560395/WekaModel_weka.classifiers.meta.Bagging6438266071619661513.model
-1
1560394
model_serialized
https://api.openml.org/data/download/1560394/WekaSerialized_weka.classifiers.meta.Bagging1371572513471239920.model
-1
1560393
predictions
https://api.openml.org/data/download/1560393/weka_generated_predictions3733426959810087830.arff
area_under_roc_curve
0.914882 [0.914882,0.914882]
average_cost
0
f_measure
0.825955 [0.808623,0.840484]
kappa
0.64911
kb_relative_information_score
1279.44363
mean_absolute_error
0.25835
mean_prior_absolute_error
0.496159
number_of_instances
2500 [1140,1360]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.825924 [0.811121,0.838332]
predictive_accuracy
0.826
prior_entropy
0.994495
recall
0.826 [0.80614,0.842647]
relative_absolute_error
0.5207
root_mean_prior_squared_error
0.49806
root_mean_squared_error
0.344122
root_relative_squared_error
0.690924
scimark_benchmark
941.499111 [553.7271705372895, 1011.2595505536781, 481.71462303608115, 911.4882009958203, 1749.3060121829703]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.919872 [0.919872,0.919872]
area_under_roc_curve
0.923077 [0.923077,0.923077]
area_under_roc_curve
0.945513 [0.945513,0.945513]
area_under_roc_curve
0.871795 [0.871795,0.871795]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.831169 [0.831169,0.831169]
area_under_roc_curve
0.987013 [0.987013,0.987013]
area_under_roc_curve
0.897436 [0.897436,0.897436]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.915584 [0.915584,0.915584]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
0.865385 [0.865385,0.865385]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.974359 [0.974359,0.974359]
area_under_roc_curve
0.863636 [0.863636,0.863636]
area_under_roc_curve
0.909091 [0.909091,0.909091]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.987013 [0.987013,0.987013]
area_under_roc_curve
0.987013 [0.987013,0.987013]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.967949 [0.967949,0.967949]
area_under_roc_curve
0.871795 [0.871795,0.871795]
area_under_roc_curve
0.887821 [0.887821,0.887821]
area_under_roc_curve
0.980769 [0.980769,0.980769]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.871795 [0.871795,0.871795]
area_under_roc_curve
0.967532 [0.967532,0.967532]
area_under_roc_curve
0.951299 [0.951299,0.951299]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
0.88141 [0.88141,0.88141]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.804487 [0.804487,0.804487]
area_under_roc_curve
0.811688 [0.811688,0.811688]
area_under_roc_curve
0.967532 [0.967532,0.967532]
area_under_roc_curve
0.955128 [0.955128,0.955128]
area_under_roc_curve
0.902597 [0.902597,0.902597]
area_under_roc_curve
0.857143 [0.857143,0.857143]
area_under_roc_curve
0.876623 [0.876623,0.876623]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.837662 [0.837662,0.837662]
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.892857 [0.892857,0.892857]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.88961 [0.88961,0.88961]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.896104 [0.896104,0.896104]
area_under_roc_curve
0.925325 [0.925325,0.925325]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.925325 [0.925325,0.925325]
area_under_roc_curve
0.928571 [0.928571,0.928571]
area_under_roc_curve
0.847403 [0.847403,0.847403]
area_under_roc_curve
0.850649 [0.850649,0.850649]
area_under_roc_curve
0.834416 [0.834416,0.834416]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.918831 [0.918831,0.918831]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.99359 [0.99359,0.99359]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.837662 [0.837662,0.837662]
area_under_roc_curve
0.897436 [0.897436,0.897436]
area_under_roc_curve
0.903846 [0.903846,0.903846]
area_under_roc_curve
0.87013 [0.87013,0.87013]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.902597 [0.902597,0.902597]
area_under_roc_curve
0.857143 [0.857143,0.857143]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.871795 [0.871795,0.871795]
area_under_roc_curve
0.900641 [0.900641,0.900641]
area_under_roc_curve
0.902597 [0.902597,0.902597]
area_under_roc_curve
0.903846 [0.903846,0.903846]
area_under_roc_curve
0.923077 [0.923077,0.923077]
area_under_roc_curve
0.86039 [0.86039,0.86039]
area_under_roc_curve
0.883117 [0.883117,0.883117]
area_under_roc_curve
0.850649 [0.850649,0.850649]
area_under_roc_curve
0.88961 [0.88961,0.88961]
area_under_roc_curve
0.928571 [0.928571,0.928571]
area_under_roc_curve
0.929487 [0.929487,0.929487]
area_under_roc_curve
0.852564 [0.852564,0.852564]
area_under_roc_curve
0.980519 [0.980519,0.980519]
area_under_roc_curve
0.99359 [0.99359,0.99359]
area_under_roc_curve
0.801282 [0.801282,0.801282]
area_under_roc_curve
0.935065 [0.935065,0.935065]
area_under_roc_curve
0.909091 [0.909091,0.909091]
area_under_roc_curve
0.844156 [0.844156,0.844156]
area_under_roc_curve
0.863636 [0.863636,0.863636]
area_under_roc_curve
0.974026 [0.974026,0.974026]
area_under_roc_curve
0.932692 [0.932692,0.932692]
area_under_roc_curve
0.942308 [0.942308,0.942308]
area_under_roc_curve
0.954545 [0.954545,0.954545]
area_under_roc_curve
0.935897 [0.935897,0.935897]
area_under_roc_curve
0.980769 [0.980769,0.980769]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.84 [0.833333,0.846154]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.88 [0.88,0.88]
f_measure
0.8 [0.8,0.8]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.72 [0.72,0.72]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.7425 [0.666667,0.8125]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.834667 [0.8,0.866667]
f_measure
0.798068 [0.814815,0.782609]
f_measure
0.96 [0.96,0.96]
f_measure
0.96 [0.96,0.96]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.760769 [0.75,0.769231]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.876333 [0.842105,0.903226]
f_measure
0.88 [0.88,0.88]
f_measure
1 [1,1]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.714483 [0.666667,0.758621]
f_measure
0.757662 [0.727273,0.785714]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.799356 [0.782609,0.814815]
f_measure
0.8 [0.8,0.8]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.959871 [0.956522,0.962963]
f_measure
0.757662 [0.727273,0.785714]
f_measure
0.641159 [0.608696,0.666667]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.756 [0.7,0.8]
f_measure
0.760769 [0.75,0.769231]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.959737 [0.952381,0.965517]
f_measure
0.800644 [0.782609,0.814815]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.8 [0.8,0.8]
f_measure
0.840513 [0.833333,0.846154]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.879212 [0.857143,0.896552]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.960129 [0.956522,0.962963]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.918667 [0.9,0.933333]
f_measure
0.919744 [0.923077,0.916667]
f_measure
0.76 [0.75,0.769231]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.8 [0.8,0.8]
f_measure
0.879614 [0.869565,0.888889]
f_measure
0.68 [0.636364,0.714286]
f_measure
0.793888 [0.736842,0.83871]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.84 [0.818182,0.857143]
f_measure
0.719098 [0.695652,0.740741]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.88 [0.88,0.88]
f_measure
0.76 [0.75,0.769231]
f_measure
0.8 [0.8,0.8]
f_measure
0.837333 [0.8,0.866667]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.68 [0.636364,0.714286]
f_measure
0.76 [0.727273,0.785714]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.92 [0.909091,0.928571]
f_measure
0.92 [0.916667,0.923077]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.880386 [0.869565,0.888889]
f_measure
0.72 [0.72,0.72]
f_measure
0.72 [0.72,0.72]
f_measure
0.72 [0.72,0.72]
f_measure
0.920256 [0.916667,0.923077]
f_measure
0.752 [0.7,0.8]
f_measure
0.789813 [0.736842,0.83871]
f_measure
0.798686 [0.761905,0.827586]
f_measure
0.838442 [0.818182,0.857143]
f_measure
0.88 [0.88,0.88]
kappa
0.679487
kappa
0.598071
kappa
0.760383
kappa
0.600639
kappa
0.522293
kappa
0.44795
kappa
0.754098
kappa
0.509804
kappa
0.758842
kappa
0.754098
kappa
0.675325
kappa
0.603175
kappa
0.920128
kappa
0.920128
kappa
0.758842
kappa
0.42623
kappa
0.522293
kappa
0.598071
kappa
0.749164
kappa
0.763407
kappa
1
kappa
0.758842
kappa
0.433657
kappa
0.516129
kappa
0.840764
kappa
0.758842
kappa
0.840764
kappa
0.522293
kappa
0.758842
kappa
0.681529
kappa
0.598071
kappa
0.600639
kappa
0.522293
kappa
0.919614
kappa
0.516129
kappa
0.276527
kappa
0.675325
kappa
0.677419
kappa
0.681529
kappa
0.503311
kappa
0.522293
kappa
0.675325
kappa
0.437299
kappa
0.758842
kappa
0.598071
kappa
0.834437
kappa
0.598071
kappa
0.918033
kappa
0.598071
kappa
0.681529
kappa
0.605678
kappa
0.681529
kappa
0.840764
kappa
0.590164
kappa
0.675325
kappa
0.837662
kappa
0.837662
kappa
0.754098
kappa
0.58194
kappa
0.675325
kappa
0.42623
kappa
0.834437
kappa
0.919614
kappa
0.675325
kappa
0.834437
kappa
0.840764
kappa
0.519231
kappa
0.512987
kappa
0.600639
kappa
0.758842
kappa
0.350649
kappa
0.58194
kappa
0.493243
kappa
0.512987
kappa
0.675325
kappa
0.437299
kappa
0.677419
kappa
0.763407
kappa
0.519231
kappa
0.600639
kappa
0.668874
kappa
0.42623
kappa
0.350649
kappa
0.512987
kappa
0.493243
kappa
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kappa
0.679487
kappa
0.837662
kappa
0.839744
kappa
0.677419
kappa
0.758842
kappa
0.44795
kappa
0.44795
kappa
0.44795
kappa
0.840764
kappa
0.512987
kappa
0.592834
kappa
0.590164
kappa
0.677419
kappa
0.760383
kb_relative_information_score
13.230416
kb_relative_information_score
12.629703
kb_relative_information_score
16.364952
kb_relative_information_score
10.965126
kb_relative_information_score
9.096167
kb_relative_information_score
9.894218
kb_relative_information_score
16.412563
kb_relative_information_score
12.630193
kb_relative_information_score
14.866636
kb_relative_information_score
12.830507
kb_relative_information_score
13.595578
kb_relative_information_score
10.631113
kb_relative_information_score
16.722578
kb_relative_information_score
17.912462
kb_relative_information_score
15.887483
kb_relative_information_score
10.849085
kb_relative_information_score
11.877403
kb_relative_information_score
12.268975
kb_relative_information_score
14.871092
kb_relative_information_score
15.561668
kb_relative_information_score
15.210147
kb_relative_information_score
14.288844
kb_relative_information_score
9.933555
kb_relative_information_score
11.038953
kb_relative_information_score
14.655634
kb_relative_information_score
16.29948
kb_relative_information_score
13.742324
kb_relative_information_score
9.349722
kb_relative_information_score
13.226633
kb_relative_information_score
13.73604
kb_relative_information_score
11.538127
kb_relative_information_score
12.451367
kb_relative_information_score
11.788902
kb_relative_information_score
16.720561
kb_relative_information_score
8.548191
kb_relative_information_score
7.650415
kb_relative_information_score
14.208921
kb_relative_information_score
10.929473
kb_relative_information_score
11.767776
kb_relative_information_score
11.478373
kb_relative_information_score
10.588506
kb_relative_information_score
13.390678
kb_relative_information_score
9.618399
kb_relative_information_score
14.300107
kb_relative_information_score
12.232493
kb_relative_information_score
14.88979
kb_relative_information_score
10.320314
kb_relative_information_score
17.19947
kb_relative_information_score
11.184598
kb_relative_information_score
13.211249
kb_relative_information_score
11.909694
kb_relative_information_score
13.864556
kb_relative_information_score
15.442394
kb_relative_information_score
14.8219
kb_relative_information_score
12.280544
kb_relative_information_score
14.772194
kb_relative_information_score
15.986435
kb_relative_information_score
14.361099
kb_relative_information_score
10.297478
kb_relative_information_score
12.078685
kb_relative_information_score
9.383256
kb_relative_information_score
13.067002
kb_relative_information_score
17.95586
kb_relative_information_score
13.161782
kb_relative_information_score
14.752394
kb_relative_information_score
14.910212
kb_relative_information_score
9.760722
kb_relative_information_score
10.819215
kb_relative_information_score
11.888945
kb_relative_information_score
14.067344
kb_relative_information_score
10.212813
kb_relative_information_score
13.320203
kb_relative_information_score
11.42959
kb_relative_information_score
10.231112
kb_relative_information_score
12.974895
kb_relative_information_score
10.01541
kb_relative_information_score
12.548709
kb_relative_information_score
12.274359
kb_relative_information_score
11.58338
kb_relative_information_score
12.666259
kb_relative_information_score
12.392422
kb_relative_information_score
10.963524
kb_relative_information_score
9.224736
kb_relative_information_score
12.236767
kb_relative_information_score
12.070965
kb_relative_information_score
13.799449
kb_relative_information_score
11.131922
kb_relative_information_score
15.732592
kb_relative_information_score
14.8484
kb_relative_information_score
13.076762
kb_relative_information_score
11.273801
kb_relative_information_score
10.491834
kb_relative_information_score
10.162342
kb_relative_information_score
12.066644
kb_relative_information_score
14.983444
kb_relative_information_score
12.982582
kb_relative_information_score
12.254605
kb_relative_information_score
12.951769
kb_relative_information_score
12.883963
kb_relative_information_score
16.479707
mean_absolute_error
0.253042
mean_absolute_error
0.26534
mean_absolute_error
0.189725
mean_absolute_error
0.298448
mean_absolute_error
0.326928
mean_absolute_error
0.303676
mean_absolute_error
0.189307
mean_absolute_error
0.26019
mean_absolute_error
0.214709
mean_absolute_error
0.260071
mean_absolute_error
0.245721
mean_absolute_error
0.301702
mean_absolute_error
0.189613
mean_absolute_error
0.171091
mean_absolute_error
0.201786
mean_absolute_error
0.288638
mean_absolute_error
0.264124
mean_absolute_error
0.271188
mean_absolute_error
0.217569
mean_absolute_error
0.200749
mean_absolute_error
0.224761
mean_absolute_error
0.23745
mean_absolute_error
0.313582
mean_absolute_error
0.29525
mean_absolute_error
0.237556
mean_absolute_error
0.188925
mean_absolute_error
0.242398
mean_absolute_error
0.329354
mean_absolute_error
0.256396
mean_absolute_error
0.238181
mean_absolute_error
0.289244
mean_absolute_error
0.26323
mean_absolute_error
0.274631
mean_absolute_error
0.190463
mean_absolute_error
0.342387
mean_absolute_error
0.345338
mean_absolute_error
0.230972
mean_absolute_error
0.305376
mean_absolute_error
0.278619
mean_absolute_error
0.278509
mean_absolute_error
0.294374
mean_absolute_error
0.241949
mean_absolute_error
0.310492
mean_absolute_error
0.230236
mean_absolute_error
0.263672
mean_absolute_error
0.225682
mean_absolute_error
0.306053
mean_absolute_error
0.177403
mean_absolute_error
0.286809
mean_absolute_error
0.249432
mean_absolute_error
0.273235
mean_absolute_error
0.235971
mean_absolute_error
0.208908
mean_absolute_error
0.211177
mean_absolute_error
0.268993
mean_absolute_error
0.225353
mean_absolute_error
0.194933
mean_absolute_error
0.221389
mean_absolute_error
0.303825
mean_absolute_error
0.269104
mean_absolute_error
0.318978
mean_absolute_error
0.260557
mean_absolute_error
0.162119
mean_absolute_error
0.250736
mean_absolute_error
0.221455
mean_absolute_error
0.227062
mean_absolute_error
0.311897
mean_absolute_error
0.288038
mean_absolute_error
0.277399
mean_absolute_error
0.236466
mean_absolute_error
0.298506
mean_absolute_error
0.243798
mean_absolute_error
0.276391
mean_absolute_error
0.300243
mean_absolute_error
0.255705
mean_absolute_error
0.311476
mean_absolute_error
0.266387
mean_absolute_error
0.270567
mean_absolute_error
0.283154
mean_absolute_error
0.263561
mean_absolute_error
0.267371
mean_absolute_error
0.286473
mean_absolute_error
0.319854
mean_absolute_error
0.262707
mean_absolute_error
0.266309
mean_absolute_error
0.23953
mean_absolute_error
0.298646
mean_absolute_error
0.202821
mean_absolute_error
0.231939
mean_absolute_error
0.256663
mean_absolute_error
0.295625
mean_absolute_error
0.2998
mean_absolute_error
0.298486
mean_absolute_error
0.262352
mean_absolute_error
0.220738
mean_absolute_error
0.250289
mean_absolute_error
0.268312
mean_absolute_error
0.256936
mean_absolute_error
0.261761
mean_absolute_error
0.188665
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.494762
mean_prior_absolute_error
0.498254
mean_prior_absolute_error
0.498254
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
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 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
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 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
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 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
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 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
precision
0.84 [0.833333,0.846154]
precision
0.801299 [0.818182,0.785714]
precision
0.882821 [0.846154,0.916667]
precision
0.802564 [0.769231,0.833333]
precision
0.768312 [0.714286,0.818182]
precision
0.741039 [0.642857,0.818182]
precision
0.881333 [0.9,0.866667]
precision
0.835789 [1,0.684211]
precision
0.88359 [0.833333,0.923077]
precision
0.881333 [0.9,0.866667]
precision
0.877647 [1,0.764706]
precision
0.82 [0.733333,0.9]
precision
0.963077 [0.923077,1]
precision
0.963077 [0.923077,1]
precision
0.882078 [0.909091,0.857143]
precision
0.718667 [0.7,0.733333]
precision
0.771282 [0.692308,0.833333]
precision
0.801299 [0.818182,0.785714]
precision
0.901176 [1,0.823529]
precision
0.905714 [0.785714,1]
precision
1 [1,1]
precision
0.882078 [0.909091,0.857143]
precision
0.730833 [0.777778,0.6875]
precision
0.765333 [0.8,0.733333]
precision
0.931429 [0.857143,1]
precision
0.88359 [0.833333,0.923077]
precision
0.932308 [0.846154,1]
precision
0.768312 [0.714286,0.818182]
precision
0.88359 [0.833333,0.923077]
precision
0.851795 [0.769231,0.916667]
precision
0.801299 [0.818182,0.785714]
precision
0.802564 [0.769231,0.833333]
precision
0.768312 [0.714286,0.818182]
precision
0.962857 [1,0.928571]
precision
0.765333 [0.8,0.733333]
precision
0.644359 [0.583333,0.692308]
precision
0.84 [0.818182,0.857143]
precision
0.848 [0.9,0.8]
precision
0.851795 [0.769231,0.916667]
precision
0.762222 [0.777778,0.75]
precision
0.771282 [0.692308,0.833333]
precision
0.84 [0.818182,0.857143]
precision
0.724103 [0.666667,0.769231]
precision
0.88359 [0.833333,0.923077]
precision
0.803846 [0.75,0.846154]
precision
0.93 [1,0.875]
precision
0.803846 [0.75,0.846154]
precision
0.962667 [1,0.933333]
precision
0.803846 [0.75,0.846154]
precision
0.851795 [0.769231,0.916667]
precision
0.823377 [0.714286,0.909091]
precision
0.851795 [0.769231,0.916667]
precision
0.932308 [0.846154,1]
precision
0.8 [0.8,0.8]
precision
0.84 [0.818182,0.857143]
precision
0.92 [0.909091,0.928571]
precision
0.92 [0.909091,0.928571]
precision
0.881333 [0.9,0.866667]
precision
0.813235 [0.875,0.764706]
precision
0.84 [0.818182,0.857143]
precision
0.718667 [0.7,0.733333]
precision
0.93 [1,0.875]
precision
0.963333 [0.916667,1]
precision
0.84 [0.818182,0.857143]
precision
0.93 [1,0.875]
precision
0.931429 [0.857143,1]
precision
0.76 [0.75,0.769231]
precision
0.76 [0.727273,0.785714]
precision
0.802564 [0.769231,0.833333]
precision
0.882078 [0.909091,0.857143]
precision
0.68 [0.636364,0.714286]
precision
0.813235 [0.875,0.764706]
precision
0.781587 [0.857143,0.722222]
precision
0.76 [0.727273,0.785714]
precision
0.84 [0.818182,0.857143]
precision
0.720519 [0.727273,0.714286]
precision
0.848 [0.9,0.8]
precision
0.905714 [0.785714,1]
precision
0.76 [0.75,0.769231]
precision
0.802564 [0.769231,0.833333]
precision
0.846111 [0.888889,0.8125]
precision
0.718667 [0.7,0.733333]
precision
0.68 [0.636364,0.714286]
precision
0.76 [0.727273,0.785714]
precision
0.781587 [0.857143,0.722222]
precision
0.84 [0.833333,0.846154]
precision
0.84 [0.833333,0.846154]
precision
0.92 [0.909091,0.928571]
precision
0.92 [0.916667,0.923077]
precision
0.848 [0.9,0.8]
precision
0.88359 [0.833333,0.923077]
precision
0.741039 [0.642857,0.818182]
precision
0.741039 [0.642857,0.818182]
precision
0.741039 [0.642857,0.818182]
precision
0.932308 [0.846154,1]
precision
0.787059 [0.875,0.705882]
precision
0.855556 [1,0.722222]
precision
0.8 [0.8,0.8]
precision
0.848 [0.9,0.8]
precision
0.882821 [0.846154,0.916667]
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.96
predictive_accuracy
0.96
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
1
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.96
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.96
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.96
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.68
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.92
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.92
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.88
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
prior_entropy
0.994495
recall
0.84 [0.833333,0.846154]
recall
0.8 [0.75,0.846154]
recall
0.88 [0.916667,0.846154]
recall
0.8 [0.833333,0.769231]
recall
0.76 [0.833333,0.692308]
recall
0.72 [0.818182,0.642857]
recall
0.88 [0.818182,0.928571]
recall
0.76 [0.5,1]
recall
0.88 [0.909091,0.857143]
recall
0.88 [0.818182,0.928571]
recall
0.84 [0.666667,1]
recall
0.8 [0.916667,0.692308]
recall
0.96 [1,0.923077]
recall
0.96 [1,0.923077]
recall
0.88 [0.833333,0.923077]
recall
0.72 [0.636364,0.785714]
recall
0.76 [0.818182,0.714286]
recall
0.8 [0.75,0.846154]
recall
0.88 [0.727273,1]
recall
0.88 [1,0.785714]
recall
1 [1,1]
recall
0.88 [0.833333,0.923077]
recall
0.72 [0.583333,0.846154]
recall
0.76 [0.666667,0.846154]
recall
0.92 [1,0.846154]
recall
0.88 [0.909091,0.857143]
recall
0.92 [1,0.857143]
recall
0.76 [0.833333,0.692308]
recall
0.88 [0.909091,0.857143]
recall
0.84 [0.909091,0.785714]
recall
0.8 [0.75,0.846154]
recall
0.8 [0.833333,0.769231]
recall
0.76 [0.833333,0.692308]
recall
0.96 [0.916667,1]
recall
0.76 [0.666667,0.846154]
recall
0.64 [0.636364,0.642857]
recall
0.84 [0.818182,0.857143]
recall
0.84 [0.75,0.923077]
recall
0.84 [0.909091,0.785714]
recall
0.76 [0.636364,0.857143]
recall
0.76 [0.818182,0.714286]
recall
0.84 [0.818182,0.857143]
recall
0.72 [0.727273,0.714286]
recall
0.88 [0.909091,0.857143]
recall
0.8 [0.818182,0.785714]
recall
0.92 [0.818182,1]
recall
0.8 [0.818182,0.785714]
recall
0.96 [0.909091,1]
recall
0.8 [0.818182,0.785714]
recall
0.84 [0.909091,0.785714]
recall
0.8 [0.909091,0.714286]
recall
0.84 [0.909091,0.785714]
recall
0.92 [1,0.857143]
recall
0.8 [0.727273,0.857143]
recall
0.84 [0.818182,0.857143]
recall
0.92 [0.909091,0.928571]
recall
0.92 [0.909091,0.928571]
recall
0.88 [0.818182,0.928571]
recall
0.8 [0.636364,0.928571]
recall
0.84 [0.818182,0.857143]
recall
0.72 [0.636364,0.785714]
recall
0.92 [0.818182,1]
recall
0.96 [1,0.928571]
recall
0.84 [0.818182,0.857143]
recall
0.92 [0.818182,1]
recall
0.92 [1,0.846154]
recall
0.76 [0.75,0.769231]
recall
0.76 [0.727273,0.785714]
recall
0.8 [0.833333,0.769231]
recall
0.88 [0.833333,0.923077]
recall
0.68 [0.636364,0.714286]
recall
0.8 [0.636364,0.928571]
recall
0.76 [0.545455,0.928571]
recall
0.76 [0.727273,0.785714]
recall
0.84 [0.818182,0.857143]
recall
0.72 [0.666667,0.769231]
recall
0.84 [0.75,0.923077]
recall
0.88 [1,0.785714]
recall
0.76 [0.75,0.769231]
recall
0.8 [0.833333,0.769231]
recall
0.84 [0.727273,0.928571]
recall
0.72 [0.636364,0.785714]
recall
0.68 [0.636364,0.714286]
recall
0.76 [0.727273,0.785714]
recall
0.76 [0.545455,0.928571]
recall
0.84 [0.833333,0.846154]
recall
0.84 [0.833333,0.846154]
recall
0.92 [0.909091,0.928571]
recall
0.92 [0.916667,0.923077]
recall
0.84 [0.75,0.923077]
recall
0.88 [0.909091,0.857143]
recall
0.72 [0.818182,0.642857]
recall
0.72 [0.818182,0.642857]
recall
0.72 [0.818182,0.642857]
recall
0.92 [1,0.857143]
recall
0.76 [0.583333,0.923077]
recall
0.8 [0.583333,1]
recall
0.8 [0.727273,0.857143]
recall
0.84 [0.75,0.923077]
recall
0.88 [0.916667,0.846154]
relative_absolute_error
0.507858
relative_absolute_error
0.53254
relative_absolute_error
0.38078
relative_absolute_error
0.598988
relative_absolute_error
0.656147
relative_absolute_error
0.613783
relative_absolute_error
0.382623
relative_absolute_error
0.522204
relative_absolute_error
0.433965
relative_absolute_error
0.525648
relative_absolute_error
0.493163
relative_absolute_error
0.605518
relative_absolute_error
0.380554
relative_absolute_error
0.343382
relative_absolute_error
0.404987
relative_absolute_error
0.583388
relative_absolute_error
0.533842
relative_absolute_error
0.544277
relative_absolute_error
0.439745
relative_absolute_error
0.405749
relative_absolute_error
0.451097
relative_absolute_error
0.476564
relative_absolute_error
0.629361
relative_absolute_error
0.59257
relative_absolute_error
0.476777
relative_absolute_error
0.381851
relative_absolute_error
0.489929
relative_absolute_error
0.661017
relative_absolute_error
0.518221
relative_absolute_error
0.481406
relative_absolute_error
0.580516
relative_absolute_error
0.528305
relative_absolute_error
0.551187
relative_absolute_error
0.382262
relative_absolute_error
0.687174
relative_absolute_error
0.697988
relative_absolute_error
0.466834
relative_absolute_error
0.612891
relative_absolute_error
0.563137
relative_absolute_error
0.562915
relative_absolute_error
0.59498
relative_absolute_error
0.489022
relative_absolute_error
0.627559
relative_absolute_error
0.465348
relative_absolute_error
0.532926
relative_absolute_error
0.456143
relative_absolute_error
0.618587
relative_absolute_error
0.358562
relative_absolute_error
0.579691
relative_absolute_error
0.504146
relative_absolute_error
0.552256
relative_absolute_error
0.476939
relative_absolute_error
0.42224
relative_absolute_error
0.426825
relative_absolute_error
0.543681
relative_absolute_error
0.455478
relative_absolute_error
0.393994
relative_absolute_error
0.447466
relative_absolute_error
0.614084
relative_absolute_error
0.543906
relative_absolute_error
0.644711
relative_absolute_error
0.526631
relative_absolute_error
0.327672
relative_absolute_error
0.506782
relative_absolute_error
0.447599
relative_absolute_error
0.455716
relative_absolute_error
0.62598
relative_absolute_error
0.582175
relative_absolute_error
0.556743
relative_absolute_error
0.47459
relative_absolute_error
0.603333
relative_absolute_error
0.492758
relative_absolute_error
0.558634
relative_absolute_error
0.606844
relative_absolute_error
0.516824
relative_absolute_error
0.625135
relative_absolute_error
0.534642
relative_absolute_error
0.546863
relative_absolute_error
0.568292
relative_absolute_error
0.528969
relative_absolute_error
0.540404
relative_absolute_error
0.579011
relative_absolute_error
0.64648
relative_absolute_error
0.530976
relative_absolute_error
0.538257
relative_absolute_error
0.480739
relative_absolute_error
0.599384
relative_absolute_error
0.409936
relative_absolute_error
0.465504
relative_absolute_error
0.515125
relative_absolute_error
0.59751
relative_absolute_error
0.605949
relative_absolute_error
0.603293
relative_absolute_error
0.530259
relative_absolute_error
0.446151
relative_absolute_error
0.502333
relative_absolute_error
0.538504
relative_absolute_error
0.519313
relative_absolute_error
0.525357
relative_absolute_error
0.378652
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.496656
root_mean_prior_squared_error
0.500159
root_mean_prior_squared_error
0.500159
root_mean_squared_error
0.342638
root_mean_squared_error
0.341726
root_mean_squared_error
0.298747
root_mean_squared_error
0.372412
root_mean_squared_error
0.414356
root_mean_squared_error
0.394215
root_mean_squared_error
0.252793
root_mean_squared_error
0.3692
root_mean_squared_error
0.325975
root_mean_squared_error
0.334103
root_mean_squared_error
0.342457
root_mean_squared_error
0.397115
root_mean_squared_error
0.245592
root_mean_squared_error
0.207153
root_mean_squared_error
0.273189
root_mean_squared_error
0.385891
root_mean_squared_error
0.379799
root_mean_squared_error
0.349848
root_mean_squared_error
0.299839
root_mean_squared_error
0.289317
root_mean_squared_error
0.26693
root_mean_squared_error
0.300944
root_mean_squared_error
0.390582
root_mean_squared_error
0.36387
root_mean_squared_error
0.282484
root_mean_squared_error
0.263094
root_mean_squared_error
0.311092
root_mean_squared_error
0.392024
root_mean_squared_error
0.302413
root_mean_squared_error
0.310951
root_mean_squared_error
0.346461
root_mean_squared_error
0.38358
root_mean_squared_error
0.388324
root_mean_squared_error
0.245262
root_mean_squared_error
0.420742
root_mean_squared_error
0.435512
root_mean_squared_error
0.296751
root_mean_squared_error
0.348703
root_mean_squared_error
0.365229
root_mean_squared_error
0.396014
root_mean_squared_error
0.386444
root_mean_squared_error
0.344164
root_mean_squared_error
0.417464
root_mean_squared_error
0.295782
root_mean_squared_error
0.359316
root_mean_squared_error
0.270535
root_mean_squared_error
0.382557
root_mean_squared_error
0.225208
root_mean_squared_error
0.354566
root_mean_squared_error
0.33184
root_mean_squared_error
0.356279
root_mean_squared_error
0.32047
root_mean_squared_error
0.269681
root_mean_squared_error
0.305233
root_mean_squared_error
0.341876
root_mean_squared_error
0.298945
root_mean_squared_error
0.300827
root_mean_squared_error
0.33254
root_mean_squared_error
0.396877
root_mean_squared_error
0.384329
root_mean_squared_error
0.405966
root_mean_squared_error
0.304665
root_mean_squared_error
0.210914
root_mean_squared_error
0.330264
root_mean_squared_error
0.28718
root_mean_squared_error
0.287739
root_mean_squared_error
0.425197
root_mean_squared_error
0.405759
root_mean_squared_error
0.360888
root_mean_squared_error
0.343697
root_mean_squared_error
0.396631
root_mean_squared_error
0.337337
root_mean_squared_error
0.3792
root_mean_squared_error
0.392296
root_mean_squared_error
0.31844
root_mean_squared_error
0.387018
root_mean_squared_error
0.356832
root_mean_squared_error
0.349689
root_mean_squared_error
0.356931
root_mean_squared_error
0.342364
root_mean_squared_error
0.370136
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