399872
2
Joaquin Vanschoren
4333
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
weka
weka_3.7.12
762
fri_c2_100_10
https://www.openml.org/data/download/53296/fri_c2_100_10.arff
-1
1399700
description
https://api.openml.org/data/download/1399700/weka_generated_run2617538620744687892.xml
-1
1399703
model_readable
https://api.openml.org/data/download/1399703/WekaModel_weka.classifiers.trees.LADTree5047227317355302007.model
-1
1399702
model_serialized
https://api.openml.org/data/download/1399702/WekaSerialized_weka.classifiers.trees.LADTree4494256737107710688.model
-1
1399701
predictions
https://api.openml.org/data/download/1399701/weka_generated_predictions4275446146201631228.arff
area_under_roc_curve
0.797564 [0.797564,0.797564]
average_cost
0
f_measure
0.7373 [0.711939,0.75805]
kappa
0.470079
kb_relative_information_score
427.677017
mean_absolute_error
0.287717
mean_prior_absolute_error
0.495098
number_of_instances
1000 [450,550]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.737849 [0.701944,0.767225]
predictive_accuracy
0.737
prior_entropy
0.993055
recall
0.737 [0.722222,0.749091]
relative_absolute_error
0.581131
root_mean_prior_squared_error
0.497495
root_mean_squared_error
0.462455
root_relative_squared_error
0.929569
scimark_benchmark
938.992585 [543.0387822329591, 1013.919993711725, 482.14720472367435, 909.9062692880296, 1745.9506755015693]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.52 [0.52,0.52]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.604167 [0.604167,0.604167]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.729167 [0.729167,0.729167]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.520833 [0.520833,0.520833]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.541667 [0.541667,0.541667]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.854167 [0.854167,0.854167]
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
0.6 [0.5,0.666667]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.494949 [0.545455,0.444444]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.8 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.450549 [0.615385,0.285714]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.8 [0.75,0.833333]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.8 [0.8,0.8]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.6 [0.5,0.666667]
f_measure
0.450549 [0.285714,0.615385]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.6 [0.6,0.6]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.6 [0.5,0.666667]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.67033 [0.571429,0.769231]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.6 [0.6,0.6]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.8 [0.8,0.8]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.4 [0.4,0.4]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.4 [0.4,0.4]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.417582 [0.615385,0.285714]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.8,0.8]
f_measure
0.89899 [0.888889,0.909091]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.6 [0.5,0.666667]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.6 [0.5,0.666667]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.6 [0.6,0.6]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.64 [0.4,0.8]
f_measure
0.896703 [0.857143,0.923077]
kappa
0.166667
kappa
0.6
kappa
0
kappa
0.8
kappa
0.583333
kappa
0.6
kappa
0
kappa
0.4
kappa
0.8
kappa
0.8
kappa
0.4
kappa
0.6
kappa
0.6
kappa
0.6
kappa
0.583333
kappa
0.4
kappa
0.6
kappa
1
kappa
0
kappa
0.4
kappa
0.347826
kappa
0.4
kappa
0.2
kappa
0.2
kappa
0
kappa
0.4
kappa
0.6
kappa
0.782609
kappa
0.6
kappa
0.4
kappa
0.166667
kappa
0
kappa
0.4
kappa
0.6
kappa
0.583333
kappa
0.8
kappa
0.2
kappa
0
kappa
0.8
kappa
0.2
kappa
0.4
kappa
0.8
kappa
0.4
kappa
0.4
kappa
0.166667
kappa
0.2
kappa
0.4
kappa
0.230769
kappa
0.4
kappa
1
kappa
0.6
kappa
0.4
kappa
0.230769
kappa
0.347826
kappa
0.6
kappa
0.8
kappa
0.230769
kappa
0.2
kappa
0.8
kappa
0.347826
kappa
-0.2
kappa
0.782609
kappa
-0.153846
kappa
0.4
kappa
0.6
kappa
1
kappa
0.583333
kappa
0.6
kappa
0.137931
kappa
0.8
kappa
0.6
kappa
0.583333
kappa
0.230769
kappa
0.615385
kappa
0.8
kappa
1
kappa
0.615385
kappa
0.6
kappa
0.583333
kappa
0.444444
kappa
0.4
kappa
0.444444
kappa
0.545455
kappa
0.782609
kappa
0.6
kappa
0.166667
kappa
0.090909
kappa
0.6
kappa
0.8
kappa
0.166667
kappa
0.4
kappa
0.8
kappa
0.782609
kappa
0.230769
kappa
0.4
kappa
0.4
kappa
0.583333
kappa
0.6
kappa
0.285714
kappa
0.782609
kb_relative_information_score
1.207509
kb_relative_information_score
5.693604
kb_relative_information_score
0.344066
kb_relative_information_score
6.707077
kb_relative_information_score
5.23045
kb_relative_information_score
5.388645
kb_relative_information_score
1.091152
kb_relative_information_score
3.586252
kb_relative_information_score
6.864947
kb_relative_information_score
7.311303
kb_relative_information_score
3.768402
kb_relative_information_score
5.190902
kb_relative_information_score
4.354406
kb_relative_information_score
4.965625
kb_relative_information_score
5.178102
kb_relative_information_score
4.286992
kb_relative_information_score
5.169434
kb_relative_information_score
7.342643
kb_relative_information_score
1.562668
kb_relative_information_score
4.750458
kb_relative_information_score
3.669189
kb_relative_information_score
4.40828
kb_relative_information_score
0.955984
kb_relative_information_score
2.176886
kb_relative_information_score
1.406714
kb_relative_information_score
3.778794
kb_relative_information_score
5.520153
kb_relative_information_score
7.29346
kb_relative_information_score
5.367206
kb_relative_information_score
3.615329
kb_relative_information_score
2.889927
kb_relative_information_score
1.138243
kb_relative_information_score
2.202777
kb_relative_information_score
6.451895
kb_relative_information_score
6.215306
kb_relative_information_score
7.687272
kb_relative_information_score
2.806102
kb_relative_information_score
-0.261791
kb_relative_information_score
6.017657
kb_relative_information_score
2.321915
kb_relative_information_score
3.326684
kb_relative_information_score
6.363678
kb_relative_information_score
4.598007
kb_relative_information_score
3.868033
kb_relative_information_score
1.567911
kb_relative_information_score
2.632477
kb_relative_information_score
3.804605
kb_relative_information_score
1.80054
kb_relative_information_score
4.108957
kb_relative_information_score
8.540311
kb_relative_information_score
5.358664
kb_relative_information_score
3.443847
kb_relative_information_score
1.930916
kb_relative_information_score
4.289407
kb_relative_information_score
5.462891
kb_relative_information_score
6.94983
kb_relative_information_score
2.00209
kb_relative_information_score
1.568847
kb_relative_information_score
7.3189
kb_relative_information_score
4.140306
kb_relative_information_score
-0.526068
kb_relative_information_score
5.095295
kb_relative_information_score
-1.912878
kb_relative_information_score
3.886463
kb_relative_information_score
5.771185
kb_relative_information_score
9.236585
kb_relative_information_score
4.106986
kb_relative_information_score
5.869632
kb_relative_information_score
-0.442694
kb_relative_information_score
7.100635
kb_relative_information_score
6.063088
kb_relative_information_score
5.025692
kb_relative_information_score
2.722881
kb_relative_information_score
3.762356
kb_relative_information_score
6.609933
kb_relative_information_score
7.687985
kb_relative_information_score
3.328154
kb_relative_information_score
5.23438
kb_relative_information_score
5.529191
kb_relative_information_score
3.643668
kb_relative_information_score
3.995476
kb_relative_information_score
4.759819
kb_relative_information_score
5.751387
kb_relative_information_score
6.538878
kb_relative_information_score
6.178996
kb_relative_information_score
0.831706
kb_relative_information_score
1.719979
kb_relative_information_score
4.80079
kb_relative_information_score
6.74797
kb_relative_information_score
1.674004
kb_relative_information_score
3.87962
kb_relative_information_score
7.471137
kb_relative_information_score
7.333257
kb_relative_information_score
1.876941
kb_relative_information_score
3.416787
kb_relative_information_score
3.763691
kb_relative_information_score
5.460138
kb_relative_information_score
6.075858
kb_relative_information_score
2.584607
kb_relative_information_score
6.29067
mean_absolute_error
0.43253
mean_absolute_error
0.225502
mean_absolute_error
0.480064
mean_absolute_error
0.183716
mean_absolute_error
0.237285
mean_absolute_error
0.244299
mean_absolute_error
0.435866
mean_absolute_error
0.313658
mean_absolute_error
0.172377
mean_absolute_error
0.148824
mean_absolute_error
0.305276
mean_absolute_error
0.256951
mean_absolute_error
0.28936
mean_absolute_error
0.266322
mean_absolute_error
0.243021
mean_absolute_error
0.293803
mean_absolute_error
0.257654
mean_absolute_error
0.147363
mean_absolute_error
0.414693
mean_absolute_error
0.261473
mean_absolute_error
0.306955
mean_absolute_error
0.281928
mean_absolute_error
0.456758
mean_absolute_error
0.387507
mean_absolute_error
0.409182
mean_absolute_error
0.31837
mean_absolute_error
0.234994
mean_absolute_error
0.134302
mean_absolute_error
0.244375
mean_absolute_error
0.330123
mean_absolute_error
0.340884
mean_absolute_error
0.438461
mean_absolute_error
0.405492
mean_absolute_error
0.187164
mean_absolute_error
0.183191
mean_absolute_error
0.128504
mean_absolute_error
0.353917
mean_absolute_error
0.498392
mean_absolute_error
0.219208
mean_absolute_error
0.381805
mean_absolute_error
0.328032
mean_absolute_error
0.198914
mean_absolute_error
0.2721
mean_absolute_error
0.313021
mean_absolute_error
0.411422
mean_absolute_error
0.370823
mean_absolute_error
0.316675
mean_absolute_error
0.39638
mean_absolute_error
0.297259
mean_absolute_error
0.098564
mean_absolute_error
0.246282
mean_absolute_error
0.321634
mean_absolute_error
0.392141
mean_absolute_error
0.277275
mean_absolute_error
0.239878
mean_absolute_error
0.155308
mean_absolute_error
0.385044
mean_absolute_error
0.426231
mean_absolute_error
0.134029
mean_absolute_error
0.284176
mean_absolute_error
0.511182
mean_absolute_error
0.248803
mean_absolute_error
0.573998
mean_absolute_error
0.293149
mean_absolute_error
0.223752
mean_absolute_error
0.041426
mean_absolute_error
0.293564
mean_absolute_error
0.216381
mean_absolute_error
0.509743
mean_absolute_error
0.148337
mean_absolute_error
0.212678
mean_absolute_error
0.247571
mean_absolute_error
0.350831
mean_absolute_error
0.315981
mean_absolute_error
0.181459
mean_absolute_error
0.127014
mean_absolute_error
0.335844
mean_absolute_error
0.253338
mean_absolute_error
0.218226
mean_absolute_error
0.308969
mean_absolute_error
0.304482
mean_absolute_error
0.255604
mean_absolute_error
0.205407
mean_absolute_error
0.181847
mean_absolute_error
0.206631
mean_absolute_error
0.451779
mean_absolute_error
0.401676
mean_absolute_error
0.276298
mean_absolute_error
0.164825
mean_absolute_error
0.404623
mean_absolute_error
0.311956
mean_absolute_error
0.12395
mean_absolute_error
0.132485
mean_absolute_error
0.398794
mean_absolute_error
0.332109
mean_absolute_error
0.300924
mean_absolute_error
0.222745
mean_absolute_error
0.212586
mean_absolute_error
0.367463
mean_absolute_error
0.186497
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
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mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
precision
0.6 [0.5,0.666667]
precision
0.857143 [0.714286,1]
precision
0.5 [0.5,0.5]
precision
0.916667 [0.833333,1]
precision
0.8 [0.75,0.833333]
precision
0.857143 [1,0.714286]
precision
0.5 [0.5,0.5]
precision
0.72 [0.6,0.8]
precision
0.916667 [1,0.833333]
precision
0.916667 [0.833333,1]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.857143 [1,0.714286]
precision
0.857143 [1,0.714286]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.666667,0.75]
precision
0.8 [0.8,0.8]
precision
1 [1,1]
precision
0.5 [0.5,0.5]
precision
0.708333 [0.666667,0.75]
precision
0.695238 [0.666667,0.714286]
precision
0.708333 [0.666667,0.75]
precision
0.6 [0.6,0.6]
precision
0.619048 [0.666667,0.571429]
precision
0.52 [0.4,0.6]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.8,0.8]
precision
0.914286 [1,0.857143]
precision
0.8 [0.8,0.8]
precision
0.8125 [1,0.625]
precision
0.6 [0.5,0.666667]
precision
0.5 [0.5,0.5]
precision
0.708333 [0.666667,0.75]
precision
0.857143 [0.714286,1]
precision
0.8 [0.75,0.833333]
precision
0.916667 [0.833333,1]
precision
0.6 [0.6,0.6]
precision
0.52 [0.4,0.6]
precision
0.916667 [0.833333,1]
precision
0.619048 [0.666667,0.571429]
precision
0.72 [0.6,0.8]
precision
0.916667 [1,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.6 [0.5,0.666667]
precision
0.619048 [0.666667,0.571429]
precision
0.708333 [0.666667,0.75]
precision
0.65 [0.5,0.75]
precision
0.8125 [1,0.625]
precision
1 [1,1]
precision
0.8 [0.8,0.8]
precision
0.72 [0.6,0.8]
precision
0.65 [0.5,0.75]
precision
0.695238 [0.666667,0.714286]
precision
0.8 [0.8,0.8]
precision
0.92 [0.8,1]
precision
0.65 [0.5,0.75]
precision
0.619048 [0.666667,0.571429]
precision
0.92 [0.8,1]
precision
0.695238 [0.666667,0.714286]
precision
0.4 [0.4,0.4]
precision
0.914286 [1,0.857143]
precision
0.433333 [0.333333,0.5]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
1 [1,1]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.8,0.8]
precision
0.777778 [0.444444,1]
precision
0.92 [0.8,1]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.65 [0.5,0.75]
precision
0.866667 [0.666667,1]
precision
0.916667 [1,0.833333]
precision
1 [1,1]
precision
0.866667 [0.666667,1]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.828571 [0.571429,1]
precision
0.708333 [0.666667,0.75]
precision
0.828571 [0.571429,1]
precision
0.85 [1,0.75]
precision
0.914286 [1,0.857143]
precision
0.857143 [0.714286,1]
precision
0.6 [0.5,0.666667]
precision
0.575 [0.5,0.625]
precision
0.857143 [1,0.714286]
precision
0.92 [0.8,1]
precision
0.6 [0.5,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.92 [0.8,1]
precision
0.914286 [1,0.857143]
precision
0.65 [0.5,0.75]
precision
0.708333 [0.666667,0.75]
precision
0.72 [0.6,0.8]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.8,0.8]
precision
0.8 [1,0.666667]
precision
0.914286 [1,0.857143]
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
recall
0.6 [0.5,0.666667]
recall
0.8 [1,0.6]
recall
0.5 [0.6,0.4]
recall
0.9 [1,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.6,1]
recall
0.5 [0.8,0.2]
recall
0.7 [0.75,0.666667]
recall
0.9 [0.8,1]
recall
0.9 [1,0.8]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.8 [0.6,1]
recall
0.8 [0.6,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.8,0.6]
recall
0.8 [0.8,0.8]
recall
1 [1,1]
recall
0.5 [0.4,0.6]
recall
0.7 [0.8,0.6]
recall
0.7 [0.5,0.833333]
recall
0.7 [0.8,0.6]
recall
0.6 [0.6,0.6]
recall
0.6 [0.4,0.8]
recall
0.5 [0.5,0.5]
recall
0.7 [0.6,0.8]
recall
0.8 [0.8,0.8]
recall
0.9 [0.75,1]
recall
0.8 [0.8,0.8]
recall
0.7 [0.4,1]
recall
0.6 [0.5,0.666667]
recall
0.5 [0.2,0.8]
recall
0.7 [0.8,0.6]
recall
0.8 [1,0.6]
recall
0.8 [0.75,0.833333]
recall
0.9 [1,0.8]
recall
0.6 [0.6,0.6]
recall
0.5 [0.5,0.5]
recall
0.9 [1,0.8]
recall
0.6 [0.4,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [0.8,1]
recall
0.7 [0.6,0.8]
recall
0.7 [0.6,0.8]
recall
0.6 [0.5,0.666667]
recall
0.6 [0.4,0.8]
recall
0.7 [0.8,0.6]
recall
0.6 [0.75,0.5]
recall
0.7 [0.4,1]
recall
1 [1,1]
recall
0.8 [0.8,0.8]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.75,0.5]
recall
0.7 [0.5,0.833333]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.833333]
recall
0.6 [0.75,0.5]
recall
0.6 [0.4,0.8]
recall
0.9 [1,0.833333]
recall
0.7 [0.5,0.833333]
recall
0.4 [0.4,0.4]
recall
0.9 [0.75,1]
recall
0.4 [0.5,0.333333]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
1 [1,1]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.8,0.8]
recall
0.5 [1,0.166667]
recall
0.9 [1,0.833333]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.75,0.5]
recall
0.8 [1,0.666667]
recall
0.9 [0.8,1]
recall
1 [1,1]
recall
0.8 [1,0.666667]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.7 [1,0.5]
recall
0.7 [0.8,0.6]
recall
0.7 [1,0.5]
recall
0.8 [0.5,1]
recall
0.9 [0.75,1]
recall
0.8 [1,0.6]
recall
0.6 [0.5,0.666667]
recall
0.6 [0.25,0.833333]
recall
0.8 [0.6,1]
recall
0.9 [1,0.833333]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.6,0.8]
recall
0.9 [1,0.833333]
recall
0.9 [0.75,1]
recall
0.6 [0.75,0.5]
recall
0.7 [0.8,0.6]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.8,0.8]
recall
0.7 [0.25,1]
recall
0.9 [0.75,1]
relative_absolute_error
0.882361
relative_absolute_error
0.451003
relative_absolute_error
0.960128
relative_absolute_error
0.367433
relative_absolute_error
0.484061
relative_absolute_error
0.488599
relative_absolute_error
0.871732
relative_absolute_error
0.639862
relative_absolute_error
0.344753
relative_absolute_error
0.297648
relative_absolute_error
0.622762
relative_absolute_error
0.513901
relative_absolute_error
0.57872
relative_absolute_error
0.532643
relative_absolute_error
0.495762
relative_absolute_error
0.587605
relative_absolute_error
0.515307
relative_absolute_error
0.300621
relative_absolute_error
0.829387
relative_absolute_error
0.522945
relative_absolute_error
0.626189
relative_absolute_error
0.563856
relative_absolute_error
0.913517
relative_absolute_error
0.775013
relative_absolute_error
0.834731
relative_absolute_error
0.636739
relative_absolute_error
0.469989
relative_absolute_error
0.273976
relative_absolute_error
0.488749
relative_absolute_error
0.660245
relative_absolute_error
0.695403
relative_absolute_error
0.876922
relative_absolute_error
0.810984
relative_absolute_error
0.374328
relative_absolute_error
0.37371
relative_absolute_error
0.257009
relative_absolute_error
0.707834
relative_absolute_error
1.01672
relative_absolute_error
0.438417
relative_absolute_error
0.763609
relative_absolute_error
0.669186
relative_absolute_error
0.397827
relative_absolute_error
0.5442
relative_absolute_error
0.626043
relative_absolute_error
0.839301
relative_absolute_error
0.741647
relative_absolute_error
0.63335
relative_absolute_error
0.808615
relative_absolute_error
0.594518
relative_absolute_error
0.197128
relative_absolute_error
0.492563
relative_absolute_error
0.656133
relative_absolute_error
0.799968
relative_absolute_error
0.56564
relative_absolute_error
0.479757
relative_absolute_error
0.316829
relative_absolute_error
0.785489
relative_absolute_error
0.852462
relative_absolute_error
0.273418
relative_absolute_error
0.579718
relative_absolute_error
1.022364
relative_absolute_error
0.507557
relative_absolute_error
1.170957
relative_absolute_error
0.598023
relative_absolute_error
0.447504
relative_absolute_error
0.084508
relative_absolute_error
0.598871
relative_absolute_error
0.432763
relative_absolute_error
1.039875
relative_absolute_error
0.302607
relative_absolute_error
0.425356
relative_absolute_error
0.505045
relative_absolute_error
0.715694
relative_absolute_error
0.644601
relative_absolute_error
0.362917
relative_absolute_error
0.259108
relative_absolute_error
0.685121
relative_absolute_error
0.506675
relative_absolute_error
0.44518
relative_absolute_error
0.630298
relative_absolute_error
0.608964
relative_absolute_error
0.521432
relative_absolute_error
0.41903
relative_absolute_error
0.370968
relative_absolute_error
0.413261
relative_absolute_error
0.92163
relative_absolute_error
0.819419
relative_absolute_error
0.552596
relative_absolute_error
0.336243
relative_absolute_error
0.825431
relative_absolute_error
0.623912
relative_absolute_error
0.252858
relative_absolute_error
0.27027
relative_absolute_error
0.81354
relative_absolute_error
0.664218
relative_absolute_error
0.613885
relative_absolute_error
0.454399
relative_absolute_error
0.425172
relative_absolute_error
0.749624
relative_absolute_error
0.380455
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_squared_error
0.613682
root_mean_squared_error
0.417213
root_mean_squared_error
0.613721
root_mean_squared_error
0.328878
root_mean_squared_error
0.422918
root_mean_squared_error
0.414011
root_mean_squared_error
0.586969
root_mean_squared_error
0.466478
root_mean_squared_error
0.309411
root_mean_squared_error
0.292481
root_mean_squared_error
0.491833
root_mean_squared_error
0.42844
root_mean_squared_error
0.449124
root_mean_squared_error
0.460112
root_mean_squared_error
0.393315
root_mean_squared_error
0.47654
root_mean_squared_error
0.388988
root_mean_squared_error
0.20111
root_mean_squared_error
0.574665
root_mean_squared_error
0.450062
root_mean_squared_error
0.498589
root_mean_squared_error
0.452385
root_mean_squared_error
0.59607
root_mean_squared_error
0.534592
root_mean_squared_error
0.546764
root_mean_squared_error
0.535083
root_mean_squared_error
0.417696
root_mean_squared_error
0.280311
root_mean_squared_error
0.411725
root_mean_squared_error
0.467522
root_mean_squared_error
0.512787
root_mean_squared_error
0.5692
root_mean_squared_error
0.534569
root_mean_squared_error
0.348657
root_mean_squared_error
0.360645
root_mean_squared_error
0.283647
root_mean_squared_error
0.554105
root_mean_squared_error
0.677982
root_mean_squared_error
0.344148
root_mean_squared_error
0.533234
root_mean_squared_error
0.496002
root_mean_squared_error
0.334059
root_mean_squared_error
0.468827
root_mean_squared_error
0.497692
root_mean_squared_error
0.614462
root_mean_squared_error
0.557107
root_mean_squared_error
0.505846
root_mean_squared_error
0.601789
root_mean_squared_error
0.505743
root_mean_squared_error
0.137458
root_mean_squared_error
0.379128
root_mean_squared_error
0.52186
root_mean_squared_error
0.572483
root_mean_squared_error
0.450266
root_mean_squared_error
0.404665
root_mean_squared_error
0.323941
root_mean_squared_error
0.582442
root_mean_squared_error
0.592917
root_mean_squared_error
0.284306
root_mean_squared_error
0.430342
root_mean_squared_error
0.649027
root_mean_squared_error
0.346385
root_mean_squared_error
0.723255
root_mean_squared_error
0.49958
root_mean_squared_error
0.360837
root_mean_squared_error
0.045759
root_mean_squared_error
0.463082
root_mean_squared_error
0.385367
root_mean_squared_error
0.67209
root_mean_squared_error
0.296357
root_mean_squared_error
0.349028
root_mean_squared_error
0.390604
root_mean_squared_error
0.526605
root_mean_squared_error
0.466658
root_mean_squared_error
0.331832
root_mean_squared_error
0.184668
root_mean_squared_error
0.464339
root_mean_squared_error
0.429432
root_mean_squared_error
0.434508
root_mean_squared_error
0.514077
root_mean_squared_error
0.500645
root_mean_squared_error
0.396863
root_mean_squared_error
0.376368
root_mean_squared_error
0.261053
root_mean_squared_error
0.34797
root_mean_squared_error
0.612892
root_mean_squared_error
0.567878
root_mean_squared_error
0.360589
root_mean_squared_error
0.3162
root_mean_squared_error
0.606906
root_mean_squared_error
0.517673
root_mean_squared_error
0.31016
root_mean_squared_error
0.296536
root_mean_squared_error
0.550634
root_mean_squared_error
0.461549
root_mean_squared_error
0.50571
root_mean_squared_error
0.413424
root_mean_squared_error
0.358779
root_mean_squared_error
0.490623
root_mean_squared_error
0.352059
root_relative_squared_error
1.245944
root_relative_squared_error
0.830444
root_relative_squared_error
1.221584
root_relative_squared_error
0.654618
root_relative_squared_error
0.85864
root_relative_squared_error
0.82407
root_relative_squared_error
1.168338
root_relative_squared_error
0.94708
root_relative_squared_error
0.61587
root_relative_squared_error
0.58217
root_relative_squared_error
0.998558
root_relative_squared_error
0.852792
root_relative_squared_error
0.893962
root_relative_squared_error
0.915833
root_relative_squared_error
0.798539
root_relative_squared_error
0.948533
root_relative_squared_error
0.774264
root_relative_squared_error
0.40831
root_relative_squared_error
1.143846
root_relative_squared_error
0.895829
root_relative_squared_error
1.012274
root_relative_squared_error
0.900453
root_relative_squared_error
1.186451
root_relative_squared_error
1.064082
root_relative_squared_error
1.110083
root_relative_squared_error
1.065061
root_relative_squared_error
0.831405
root_relative_squared_error
0.569109
root_relative_squared_error
0.81952
root_relative_squared_error
0.930582
root_relative_squared_error
1.041099
root_relative_squared_error
1.132968
root_relative_squared_error
1.064036
root_relative_squared_error
0.693987
root_relative_squared_error
0.73221
root_relative_squared_error
0.564588
root_relative_squared_error
1.102921
root_relative_squared_error
1.376491
root_relative_squared_error
0.685013
root_relative_squared_error
1.061378
root_relative_squared_error
1.007022
root_relative_squared_error
0.664929
root_relative_squared_error
0.933181
root_relative_squared_error
0.990634
root_relative_squared_error
1.247529
root_relative_squared_error
1.108899
root_relative_squared_error
1.006864
root_relative_squared_error
1.2218
root_relative_squared_error
1.00666
root_relative_squared_error
0.273605
root_relative_squared_error
0.754637
root_relative_squared_error
1.059521
root_relative_squared_error
1.162299
root_relative_squared_error
0.914165
root_relative_squared_error
0.805469
root_relative_squared_error
0.657689
root_relative_squared_error
1.18252
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