451940
2
Joaquin Vanschoren
4204
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
weka
weka_3.7.12
340
squash-stored
https://www.openml.org/data/download/52243/phpH2fvsy
-1
1586034
description
https://api.openml.org/data/download/1586034/weka_generated_run1899189109307006796.xml
-1
1586036
model_readable
https://api.openml.org/data/download/1586036/WekaModel_weka.classifiers.trees.LADTree2421445893059158203.model
-1
1586035
model_serialized
https://api.openml.org/data/download/1586035/WekaSerialized_weka.classifiers.trees.LADTree7068670595009087280.model
-1
1586037
predictions
https://api.openml.org/data/download/1586037/weka_generated_predictions214901038532152528.arff
area_under_roc_curve
0.7272 [0.75494,0.688748,0.748381]
average_cost
0
f_measure
0.620382 [0.679325,0.596244,0.514286]
kappa
0.378991
kb_relative_information_score
210.315546
mean_absolute_error
0.263487
mean_prior_absolute_error
0.41352
number_of_instances
520 [230,210,80]
os_information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
precision
0.621605 [0.659836,0.587963,0.6]
predictive_accuracy
0.623077
prior_entropy
1.478161
recall
0.623077 [0.7,0.604762,0.45]
relative_absolute_error
0.637181
root_mean_prior_squared_error
0.45378
root_mean_squared_error
0.46117
root_relative_squared_error
1.016284
scimark_benchmark
608.405715 [308.60591919746923, 753.5999479595193, 337.8671595412292, 637.664792284123, 1004.290755845325]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
0
usercpu_time_millis_training
20
area_under_roc_curve
0.944444 [0.888889,1,1]
area_under_roc_curve
0.419444 [0.222222,0.625,0.6]
area_under_roc_curve
0.909722 [0.944444,0.8125,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.652778 [0.625,0.888889,0]
area_under_roc_curve
0.866667 [1,0.833333,0.7]
area_under_roc_curve
0.555556 [0.5,0.777778,0]
area_under_roc_curve
0.833333 [0.722222,0.944444,0.0]
area_under_roc_curve
0.684722 [0.777778,0.4375,0.9]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.690278 [0.6875,0.888889,0.1]
area_under_roc_curve
0.715278 [0.722222,0.5625,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.713889 [0.611111,0.875,0.7]
area_under_roc_curve
0.763889 [0.777778,0.625,1]
area_under_roc_curve
0.763889 [0.777778,0.625,1]
area_under_roc_curve
0.805556 [0.777778,0.75,1]
area_under_roc_curve
0.840278 [0.722222,0.9375,1]
area_under_roc_curve
0.498611 [0.555556,0.3125,0.7]
area_under_roc_curve
0.858333 [1,0.875,0.4]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.433333 [0.5,0.333333,0.0]
area_under_roc_curve
0.433333 [0.5,0.333333,0.0]
area_under_roc_curve
0.583333 [0.583333,0.583333,0.0]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
area_under_roc_curve
0.5 [0.5,0.5,0.0]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.716667 [1,0.666667,0.25]
area_under_roc_curve
0.8 [0.666667,0.833333,1]
area_under_roc_curve
0.625 [0.833333,0.416667,0.625]
area_under_roc_curve
0.9 [1,0.833333,0.0]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.583333 [0.583333,0.583333,0.0]
area_under_roc_curve
0.8 [1,0.5,0.0]
area_under_roc_curve
0.75 [0.75,0.75,0.0]
area_under_roc_curve
0.433333 [0.5,0.333333,0.0]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.933333 [0.833333,1,1]
area_under_roc_curve
0.658333 [0.666667,0.916667,0.125]
area_under_roc_curve
0.591667 [0.833333,0.583333,0.125]
area_under_roc_curve
0.616667 [0.5,0.666667,0.75]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.783333 [1,0.833333,0.25]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.733333 [0.75,0.583333,1]
area_under_roc_curve
0.591667 [0.666667,0.75,0.125]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
0.6 [0.666667,0.333333,1]
area_under_roc_curve
0.825 [1,0.75,0.625]
area_under_roc_curve
0.708333 [0.583333,1,0.375]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.533333 [0.333333,0.5,1]
area_under_roc_curve
0.608333 [0.5,0.583333,0.875]
area_under_roc_curve
0.733333 [1,0.833333,0]
area_under_roc_curve
0.833333 [1,0.833333,0.5]
area_under_roc_curve
0.875 [1,0.75,0.875]
area_under_roc_curve
0.941667 [0.916667,1,0.875]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.625 [0.833333,0.416667,0.625]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.8 [0.666667,0.833333,1]
area_under_roc_curve
0.583333 [1,0.333333,0.25]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.666667 [0.75,0.416667,1]
area_under_roc_curve
0.9 [1,1,0.5]
area_under_roc_curve
0.733333 [0.666667,0.666667,1]
area_under_roc_curve
0.633333 [0.833333,0.5,0.5]
area_under_roc_curve
0.466667 [0.333333,0.333333,1]
area_under_roc_curve
0.666667 [1,0.666667,0]
area_under_roc_curve
0.8 [0.666667,0.833333,1]
area_under_roc_curve
0.6 [0.666667,0.333333,1]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.666667 [0.666667,1,0]
area_under_roc_curve
0.325 [0.5,0.25,0.125]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.533333 [0.5,0.833333,0]
area_under_roc_curve
0.266667 [0.166667,0,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.316667 [0.416667,0.25,0.0]
area_under_roc_curve
0.733333 [0.5,0.833333,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.666667 [0.75,0.416667,1]
area_under_roc_curve
0.6 [0.666667,0.333333,1]
area_under_roc_curve
0.741667 [0.833333,0.583333,0.875]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.933333 [0.916667,0.916667,1]
area_under_roc_curve
0.9 [0.833333,1,0.0]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
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
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0
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0
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0
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0
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0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.627778 [0.5,0.8,0.666667]
f_measure
0.333333 [0.333333,0.5,0]
f_measure
0.440476 [0.5,0.571429,0]
f_measure
1 [1,1,1]
f_measure
0.622222 [0.666667,0.8,0]
f_measure
0.761905 [1,0.857143,0]
f_measure
0.4 [0,0.8,0]
f_measure
0.733333 [0.666667,0.8,0]
f_measure
0.539683 [0.857143,0,0.666667]
f_measure
0.375 [0.75,0,0]
f_measure
0.466667 [0.4,0.666667,0]
f_measure
0.666667 [0.666667,0.5,1]
f_measure
1 [1,1,0]
f_measure
0.190476 [0,0.571429,0]
f_measure
0.311111 [0.4,0.333333,0]
f_measure
0.666667 [0.666667,0.5,1]
f_measure
0.666667 [0.666667,0.5,1]
f_measure
0.6 [0.666667,0.8,0]
f_measure
0.285714 [0.571429,0,0]
f_measure
0.622222 [0.8,0.666667,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.4 [0.666667,0,0]
f_measure
0.4 [0.4,0.4,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.62 [0.8,0.5,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.4 [0.4,0.4,0]
f_measure
0.133333 [0,0.333333,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.4 [0.666667,0,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.72 [0.8,1,0]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.52 [0.5,0.8,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.8 [1,0.666667,0.666667]
f_measure
0.72 [1,0.8,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.266667 [0.666667,0,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.266667 [0.666667,0,0]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
1 [1,1,1]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.228571 [0,0.571429,0]
f_measure
0.72 [1,0.8,0]
f_measure
0.72 [0.8,1,0]
f_measure
0.228571 [0.571429,0,0]
f_measure
0.6 [1,0.5,0]
f_measure
1 [1,1,1]
f_measure
0.466667 [0.666667,0,1]
f_measure
1 [1,1,1]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.6 [1,0.5,0]
f_measure
0.133333 [0,0.333333,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.6 [1,0.5,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.333333 [0.5,0,0.666667]
f_measure
0.72 [0.8,1,0]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.4 [0.5,0.5,0]
f_measure
0.36 [0.4,0.5,0]
f_measure
0.6 [1,0.5,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.453333 [0.8,0,0.666667]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.52 [0.5,0.8,0]
f_measure
0.16 [0.4,0,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.4 [0.4,0.4,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
1 [1,1,0]
f_measure
0.6 [0.666667,0.5,0.666667]
f_measure
0.333333 [0,0.5,0.666667]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.8 [1,0.666667,0.666667]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.566667 [0.5,0.666667,0]
f_measure
0.8 [0.8,0.8,0]
f_measure
0.8 [0.8,0.8,0]
kappa
0.52
kappa
-0.090909
kappa
0.217391
kappa
1
kappa
0.454545
kappa
0.7
kappa
0
kappa
0.428571
kappa
0.454545
kappa
0.142857
kappa
0.142857
kappa
0.454545
kappa
1
kappa
0.04
kappa
-0.090909
kappa
0.454545
kappa
0.454545
kappa
0.428571
kappa
-0.2
kappa
0.454545
kappa
0.6875
kappa
-0.071429
kappa
-0.153846
kappa
0.545455
kappa
0.166667
kappa
0.545455
kappa
0.545455
kappa
0.6875
kappa
0.333333
kappa
0.6875
kappa
0
kappa
0.375
kappa
0
kappa
-0.153846
kappa
-0.176471
kappa
0.545455
kappa
-0.071429
kappa
0.6875
kappa
0.666667
kappa
0.333333
kappa
0
kappa
0.333333
kappa
0.375
kappa
0.705882
kappa
0.666667
kappa
0.6875
kappa
0.375
kappa
0.0625
kappa
0.6875
kappa
0.6875
kappa
0
kappa
0.333333
kappa
0.333333
kappa
1
kappa
0.375
kappa
0.333333
kappa
0.333333
kappa
0
kappa
0.666667
kappa
0.666667
kappa
0
kappa
0.375
kappa
1
kappa
0.375
kappa
1
kappa
0
kappa
0.375
kappa
-0.333333
kappa
0.6875
kappa
0.375
kappa
0.6875
kappa
0.6875
kappa
0.117647
kappa
0.666667
kappa
0.333333
kappa
0.0625
kappa
0
kappa
0.375
kappa
0.6875
kappa
0.411765
kappa
0.166667
kappa
0.375
kappa
0.333333
kappa
0
kappa
0.6875
kappa
0.333333
kappa
-0.333333
kappa
0.6875
kappa
-0.153846
kappa
0.375
kappa
1
kappa
0.411765
kappa
0.117647
kappa
0.333333
kappa
0.6875
kappa
0.705882
kappa
0.6875
kappa
0.285714
kappa
0.615385
kappa
0.615385
kb_relative_information_score
3.417727
kb_relative_information_score
-0.100031
kb_relative_information_score
1.454728
kb_relative_information_score
5.661241
kb_relative_information_score
2.57446
kb_relative_information_score
3.720291
kb_relative_information_score
0.050273
kb_relative_information_score
1.756337
kb_relative_information_score
3.100115
kb_relative_information_score
1.440705
kb_relative_information_score
1.808201
kb_relative_information_score
3.195831
kb_relative_information_score
4.51994
kb_relative_information_score
0.154528
kb_relative_information_score
0.016567
kb_relative_information_score
3.073701
kb_relative_information_score
3.176101
kb_relative_information_score
2.45744
kb_relative_information_score
0.163787
kb_relative_information_score
2.612761
kb_relative_information_score
4.136143
kb_relative_information_score
-0.198363
kb_relative_information_score
0.461729
kb_relative_information_score
2.332842
kb_relative_information_score
1.51315
kb_relative_information_score
2.58803
kb_relative_information_score
2.735802
kb_relative_information_score
3.598539
kb_relative_information_score
1.246287
kb_relative_information_score
2.991338
kb_relative_information_score
0.900883
kb_relative_information_score
1.5872
kb_relative_information_score
1.648204
kb_relative_information_score
0.366221
kb_relative_information_score
-0.350902
kb_relative_information_score
2.609211
kb_relative_information_score
0.044361
kb_relative_information_score
3.509989
kb_relative_information_score
2.426572
kb_relative_information_score
1.750939
kb_relative_information_score
0.721864
kb_relative_information_score
1.289483
kb_relative_information_score
2.408075
kb_relative_information_score
3.710528
kb_relative_information_score
2.647761
kb_relative_information_score
3.73607
kb_relative_information_score
2.431878
kb_relative_information_score
0.443358
kb_relative_information_score
3.895826
kb_relative_information_score
3.418936
kb_relative_information_score
1.657992
kb_relative_information_score
1.845306
kb_relative_information_score
1.73373
kb_relative_information_score
4.966165
kb_relative_information_score
1.693686
kb_relative_information_score
0.95366
kb_relative_information_score
1.94979
kb_relative_information_score
0.622877
kb_relative_information_score
3.069103
kb_relative_information_score
3.233983
kb_relative_information_score
0.541173
kb_relative_information_score
1.850692
kb_relative_information_score
4.352559
kb_relative_information_score
2.556189
kb_relative_information_score
4.849166
kb_relative_information_score
0.900883
kb_relative_information_score
1.841696
kb_relative_information_score
0.24719
kb_relative_information_score
3.269014
kb_relative_information_score
1.194943
kb_relative_information_score
3.397802
kb_relative_information_score
3.455294
kb_relative_information_score
1.803311
kb_relative_information_score
3.02823
kb_relative_information_score
1.725957
kb_relative_information_score
0.517759
kb_relative_information_score
0.01516
kb_relative_information_score
1.800181
kb_relative_information_score
3.605254
kb_relative_information_score
2.335511
kb_relative_information_score
1.254188
kb_relative_information_score
2.322629
kb_relative_information_score
1.834571
kb_relative_information_score
0.300052
kb_relative_information_score
3.602184
kb_relative_information_score
1.699627
kb_relative_information_score
-1.039514
kb_relative_information_score
3.589087
kb_relative_information_score
0.179488
kb_relative_information_score
2.380297
kb_relative_information_score
3.579595
kb_relative_information_score
1.765223
kb_relative_information_score
1.048747
kb_relative_information_score
1.227745
kb_relative_information_score
3.203999
kb_relative_information_score
3.215475
kb_relative_information_score
3.377009
kb_relative_information_score
1.45739
kb_relative_information_score
2.683794
kb_relative_information_score
2.763046
mean_absolute_error
0.212497
mean_absolute_error
0.445628
mean_absolute_error
0.317224
mean_absolute_error
0.043867
mean_absolute_error
0.239537
mean_absolute_error
0.154141
mean_absolute_error
0.438419
mean_absolute_error
0.268579
mean_absolute_error
0.232936
mean_absolute_error
0.281514
mean_absolute_error
0.292451
mean_absolute_error
0.225141
mean_absolute_error
0.053962
mean_absolute_error
0.421065
mean_absolute_error
0.432839
mean_absolute_error
0.238037
mean_absolute_error
0.228353
mean_absolute_error
0.242201
mean_absolute_error
0.41739
mean_absolute_error
0.229439
mean_absolute_error
0.110218
mean_absolute_error
0.424842
mean_absolute_error
0.359076
mean_absolute_error
0.18745
mean_absolute_error
0.258987
mean_absolute_error
0.162288
mean_absolute_error
0.145161
mean_absolute_error
0.15584
mean_absolute_error
0.32355
mean_absolute_error
0.225806
mean_absolute_error
0.352871
mean_absolute_error
0.26248
mean_absolute_error
0.326549
mean_absolute_error
0.365364
mean_absolute_error
0.428778
mean_absolute_error
0.161461
mean_absolute_error
0.398422
mean_absolute_error
0.167508
mean_absolute_error
0.217597
mean_absolute_error
0.278325
mean_absolute_error
0.368967
mean_absolute_error
0.331415
mean_absolute_error
0.268007
mean_absolute_error
0.143713
mean_absolute_error
0.196449
mean_absolute_error
0.139443
mean_absolute_error
0.264338
mean_absolute_error
0.400474
mean_absolute_error
0.124138
mean_absolute_error
0.177665
mean_absolute_error
0.337385
mean_absolute_error
0.26596
mean_absolute_error
0.279217
mean_absolute_error
0.027683
mean_absolute_error
0.341021
mean_absolute_error
0.369149
mean_absolute_error
0.256671
mean_absolute_error
0.383352
mean_absolute_error
0.154695
mean_absolute_error
0.15041
mean_absolute_error
0.387728
mean_absolute_error
0.265317
mean_absolute_error
0.085169
mean_absolute_error
0.250543
mean_absolute_error
0.040354
mean_absolute_error
0.352871
mean_absolute_error
0.266446
mean_absolute_error
0.411081
mean_absolute_error
0.198301
mean_absolute_error
0.339138
mean_absolute_error
0.183411
mean_absolute_error
0.177221
mean_absolute_error
0.316686
mean_absolute_error
0.159709
mean_absolute_error
0.281312
mean_absolute_error
0.393072
mean_absolute_error
0.448931
mean_absolute_error
0.272039
mean_absolute_error
0.159552
mean_absolute_error
0.273481
mean_absolute_error
0.284657
mean_absolute_error
0.278076
mean_absolute_error
0.267414
mean_absolute_error
0.421569
mean_absolute_error
0.156693
mean_absolute_error
0.288125
mean_absolute_error
0.545676
mean_absolute_error
0.158242
mean_absolute_error
0.398988
mean_absolute_error
0.27111
mean_absolute_error
0.075638
mean_absolute_error
0.337626
mean_absolute_error
0.399308
mean_absolute_error
0.325405
mean_absolute_error
0.192475
mean_absolute_error
0.191937
mean_absolute_error
0.186124
mean_absolute_error
0.271031
mean_absolute_error
0.154456
mean_absolute_error
0.144726
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
precision
0.805556 [1,0.666667,0.5]
precision
0.333333 [0.333333,0.5,0]
precision
0.633333 [1,0.4,0]
precision
1 [1,1,1]
precision
0.666667 [0.5,1,0]
precision
0.708333 [1,0.75,0]
precision
0.5 [0,1,0]
precision
0.833333 [0.666667,1,0]
precision
0.458333 [0.75,0,0.5]
precision
0.3 [0.6,0,0]
precision
0.444444 [0.333333,0.666667,0]
precision
0.666667 [0.666667,0.5,1]
precision
1 [1,1,0]
precision
0.133333 [0,0.4,0]
precision
0.333333 [0.5,0.25,0]
precision
0.666667 [0.666667,0.5,1]
precision
0.666667 [0.666667,0.5,1]
precision
0.555556 [0.666667,0.666667,0]
precision
0.25 [0.5,0,0]
precision
0.666667 [1,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.4 [0.666667,0,0]
precision
0.433333 [0.5,0.333333,0]
precision
0.85 [0.75,1,0]
precision
0.6 [0.666667,0.5,0]
precision
0.85 [0.75,1,0]
precision
0.85 [0.75,1,0]
precision
0.866667 [0.666667,1,1]
precision
0.466667 [0.666667,0.5,0]
precision
0.866667 [1,0.666667,1]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [0.666667,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.433333 [0.5,0.333333,0]
precision
0.1 [0,0.25,0]
precision
0.85 [0.75,1,0]
precision
0.4 [0.666667,0,0]
precision
0.866667 [0.666667,1,1]
precision
0.666667 [0.666667,1,0]
precision
0.6 [0.5,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.466667 [0.5,0.666667,0]
precision
0.6 [0.5,0.5,1]
precision
0.9 [1,1,0.5]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
0.6 [0.5,0.5,1]
precision
0.2 [0.5,0,0]
precision
0.866667 [1,0.666667,1]
precision
0.866667 [0.666667,1,1]
precision
0.2 [0.5,0,0]
precision
0.466667 [0.666667,0.5,0]
precision
0.6 [0.5,1,0]
precision
1 [1,1,1]
precision
0.6 [0.5,0.5,1]
precision
0.6 [1,0.5,0]
precision
0.6 [1,0.5,0]
precision
0.16 [0,0.4,0]
precision
0.666667 [1,0.666667,0]
precision
0.666667 [0.666667,1,0]
precision
0.16 [0.4,0,0]
precision
0.6 [1,0.5,0]
precision
1 [1,1,1]
precision
0.4 [0.5,0,1]
precision
1 [1,1,1]
precision
0.333333 [0.5,0.333333,0]
precision
0.6 [1,0.5,0]
precision
0.1 [0,0.25,0]
precision
0.866667 [1,0.666667,1]
precision
0.6 [1,0.5,0]
precision
0.866667 [1,0.666667,1]
precision
0.866667 [1,0.666667,1]
precision
0.3 [0.5,0,0.5]
precision
0.666667 [0.666667,1,0]
precision
0.466667 [0.666667,0.5,0]
precision
0.4 [0.5,0.5,0]
precision
0.333333 [0.333333,0.5,0]
precision
0.6 [1,0.5,0]
precision
0.866667 [1,0.666667,1]
precision
0.366667 [0.666667,0,0.5]
precision
0.6 [0.666667,0.5,0]
precision
0.6 [0.5,0.5,1]
precision
0.6 [0.5,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [0.666667,1,1]
precision
0.466667 [0.5,0.666667,0]
precision
0.133333 [0.333333,0,0]
precision
0.866667 [0.666667,1,1]
precision
0.433333 [0.333333,0.5,0]
precision
0.6 [0.5,0.5,1]
precision
1 [1,1,0]
precision
0.7 [1,0.5,0.5]
precision
0.3 [0,0.5,0.5]
precision
0.466667 [0.666667,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.9 [1,1,0.5]
precision
0.866667 [1,0.666667,1]
precision
0.8 [1,0.5,0]
precision
0.866667 [1,0.666667,0]
precision
0.866667 [1,0.666667,0]
predictive_accuracy
0.666667
predictive_accuracy
0.333333
predictive_accuracy
0.5
predictive_accuracy
1
predictive_accuracy
0.666667
predictive_accuracy
0.833333
predictive_accuracy
0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
1
predictive_accuracy
0.333333
predictive_accuracy
0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.2
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.2
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.2
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
recall
0.666667 [0.333333,1,1]
recall
0.333333 [0.333333,0.5,0]
recall
0.5 [0.333333,1,0]
recall
1 [1,1,1]
recall
0.666667 [1,0.666667,0]
recall
0.833333 [1,1,0]
recall
0.333333 [0,0.666667,0]
recall
0.666667 [0.666667,0.666667,0]
recall
0.666667 [1,0,1]
recall
0.5 [1,0,0]
recall
0.5 [0.5,0.666667,0]
recall
0.666667 [0.666667,0.5,1]
recall
1 [1,1,0]
recall
0.333333 [0,1,0]
recall
0.333333 [0.333333,0.5,0]
recall
0.666667 [0.666667,0.5,1]
recall
0.666667 [0.666667,0.5,1]
recall
0.666667 [0.666667,1,0]
recall
0.333333 [0.666667,0,0]
recall
0.666667 [0.666667,1,0]
recall
0.8 [1,0.5,1]
recall
0.4 [0.666667,0,0]
recall
0.4 [0.333333,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.6 [0.666667,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.333333,0]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.333333,0.5,0]
recall
0.2 [0,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.4 [0.666667,0,0]
recall
0.8 [1,0.5,1]
recall
0.8 [1,1,0]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.6 [0.5,1,0]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,0.5,1]
recall
0.4 [1,0,0]
recall
0.8 [0.5,1,1]
recall
0.8 [1,0.5,1]
recall
0.4 [1,0,0]
recall
0.6 [1,0.5,0]
recall
0.6 [1,0.5,0]
recall
1 [1,1,1]
recall
0.6 [0.5,0.5,1]
recall
0.6 [0.5,1,0]
recall
0.6 [0.5,1,0]
recall
0.4 [0,1,0]
recall
0.8 [1,1,0]
recall
0.8 [1,1,0]
recall
0.4 [1,0,0]
recall
0.6 [1,0.5,0]
recall
1 [1,1,1]
recall
0.6 [1,0,1]
recall
1 [1,1,1]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.2 [0,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.8 [0.5,1,1]
recall
0.4 [0.5,0,1]
recall
0.8 [1,1,0]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.6 [1,0,1]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,1,0]
recall
0.2 [0.5,0,0]
recall
0.8 [1,0.5,1]
recall
0.4 [0.5,0.333333,0]
recall
0.6 [0.5,0.5,1]
recall
1 [1,1,0]
recall
0.6 [0.5,0.5,1]
recall
0.4 [0,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [0.5,1,1]
recall
0.6 [0.333333,1,0]
recall
0.8 [0.666667,1,0]
recall
0.8 [0.666667,1,0]
relative_absolute_error
0.513103
relative_absolute_error
1.076029
relative_absolute_error
0.76598
relative_absolute_error
0.104899
relative_absolute_error
0.572807
relative_absolute_error
0.368599
relative_absolute_error
1.048392
relative_absolute_error
0.69243
relative_absolute_error
0.562456
relative_absolute_error
0.725778
relative_absolute_error
0.699339
relative_absolute_error
0.543633
relative_absolute_error
0.13912
relative_absolute_error
1.016719
relative_absolute_error
1.045148
relative_absolute_error
0.574773
relative_absolute_error
0.551389
relative_absolute_error
0.584826
relative_absolute_error
1.007845
relative_absolute_error
0.55401
relative_absolute_error
0.261293
relative_absolute_error
1.102183
relative_absolute_error
0.931564
relative_absolute_error
0.486309
relative_absolute_error
0.6719
relative_absolute_error
0.421031
relative_absolute_error
0.376597
relative_absolute_error
0.369448
relative_absolute_error
0.767036
relative_absolute_error
0.535316
relative_absolute_error
0.836549
relative_absolute_error
0.672504
relative_absolute_error
0.774146
relative_absolute_error
0.947877
relative_absolute_error
1.112396
relative_absolute_error
0.418886
relative_absolute_error
1.033643
relative_absolute_error
0.397109
relative_absolute_error
0.515854
relative_absolute_error
0.659821
relative_absolute_error
0.874706
relative_absolute_error
0.785682
relative_absolute_error
0.635361
relative_absolute_error
0.340699
relative_absolute_error
0.46572
relative_absolute_error
0.330576
relative_absolute_error
0.626663
relative_absolute_error
0.949399
relative_absolute_error
0.294292
relative_absolute_error
0.42119
relative_absolute_error
0.799835
relative_absolute_error
0.630508
relative_absolute_error
0.661936
relative_absolute_error
0.065627
relative_absolute_error
0.808456
relative_absolute_error
0.875138
relative_absolute_error
0.608487
relative_absolute_error
0.908808
relative_absolute_error
0.366733
relative_absolute_error
0.356576
relative_absolute_error
0.919182
relative_absolute_error
0.628983
relative_absolute_error
0.201908
relative_absolute_error
0.593961
relative_absolute_error
0.095667
relative_absolute_error
0.836549
relative_absolute_error
0.63166
relative_absolute_error
0.974546
relative_absolute_error
0.470109
relative_absolute_error
0.803992
relative_absolute_error
0.434811
relative_absolute_error
0.420136
relative_absolute_error
0.750765
relative_absolute_error
0.37862
relative_absolute_error
0.666904
relative_absolute_error
0.931852
relative_absolute_error
1.064276
relative_absolute_error
0.64492
relative_absolute_error
0.378248
relative_absolute_error
0.648339
relative_absolute_error
0.738496
relative_absolute_error
0.659233
relative_absolute_error
0.633957
relative_absolute_error
0.999409
relative_absolute_error
0.371471
relative_absolute_error
0.683054
relative_absolute_error
1.293629
relative_absolute_error
0.375143
relative_absolute_error
1.022252
relative_absolute_error
0.642717
relative_absolute_error
0.19623
relative_absolute_error
0.800407
relative_absolute_error
0.946635
relative_absolute_error
0.771435
relative_absolute_error
0.456299
relative_absolute_error
0.455024
relative_absolute_error
0.441243
relative_absolute_error
0.703147
relative_absolute_error
0.40071
relative_absolute_error
0.375468
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_squared_error
0.352833
root_mean_squared_error
0.642958
root_mean_squared_error
0.533265
root_mean_squared_error
0.061428
root_mean_squared_error
0.462446
root_mean_squared_error
0.308828
root_mean_squared_error
0.651743
root_mean_squared_error
0.385752
root_mean_squared_error
0.464868
root_mean_squared_error
0.482228
root_mean_squared_error
0.490105
root_mean_squared_error
0.469046
root_mean_squared_error
0.124577
root_mean_squared_error
0.609356
root_mean_squared_error
0.639616
root_mean_squared_error
0.452213
root_mean_squared_error
0.4092
root_mean_squared_error
0.407224
root_mean_squared_error
0.618397
root_mean_squared_error
0.417413
root_mean_squared_error
0.198085
root_mean_squared_error
0.602477
root_mean_squared_error
0.546251
root_mean_squared_error
0.385072
root_mean_squared_error
0.494797
root_mean_squared_error
0.352397
root_mean_squared_error
0.365549
root_mean_squared_error
0.349585
root_mean_squared_error
0.501723
root_mean_squared_error
0.400273
root_mean_squared_error
0.55774
root_mean_squared_error
0.412084
root_mean_squared_error
0.48775
root_mean_squared_error
0.572143
root_mean_squared_error
0.587681
root_mean_squared_error
0.347089
root_mean_squared_error
0.553147
root_mean_squared_error
0.370701
root_mean_squared_error
0.330787
root_mean_squared_error
0.502656
root_mean_squared_error
0.554391
root_mean_squared_error
0.509322
root_mean_squared_error
0.472314
root_mean_squared_error
0.30171
root_mean_squared_error
0.386177
root_mean_squared_error
0.361582
root_mean_squared_error
0.491006
root_mean_squared_error
0.618787
root_mean_squared_error
0.261437
root_mean_squared_error
0.341416
root_mean_squared_error
0.53195
root_mean_squared_error
0.510285
root_mean_squared_error
0.463712
root_mean_squared_error
0.034826
root_mean_squared_error
0.503609
root_mean_squared_error
0.500649
root_mean_squared_error
0.460535
root_mean_squared_error
0.593267
root_mean_squared_error
0.356386
root_mean_squared_error
0.294972
root_mean_squared_error
0.603905
root_mean_squared_error
0.479386
root_mean_squared_error
0.17556
root_mean_squared_error
0.426679
root_mean_squared_error
0.076148
root_mean_squared_error
0.55774
root_mean_squared_error
0.508534
root_mean_squared_error
0.556898
root_mean_squared_error
0.357717
root_mean_squared_error
0.526496
root_mean_squared_error
0.365639
root_mean_squared_error
0.297573
root_mean_squared_error
0.492446
root_mean_squared_error
0.355135
root_mean_squared_error
0.496287
root_mean_squared_error
0.556435
root_mean_squared_error
0.605623
root_mean_squared_error
0.497967
root_mean_squared_error
0.36398
root_mean_squared_error
0.476966
root_mean_squared_error
0.455468
root_mean_squared_error
0.491413
root_mean_squared_error
0.508779
root_mean_squared_error
0.632749
root_mean_squared_error
0.35797
root_mean_squared_error
0.514828
root_mean_squared_error
0.707952
root_mean_squared_error
0.360864
root_mean_squared_error
0.50275
root_mean_squared_error
0.480744
root_mean_squared_error
0.120882
root_mean_squared_error
0.501238
root_mean_squared_error
0.604952
root_mean_squared_error
0.519733
root_mean_squared_error
0.341685
root_mean_squared_error
0.33497
root_mean_squared_error
0.365392
root_mean_squared_error
0.395405
root_mean_squared_error
0.33013
root_mean_squared_error
0.357795
root_relative_squared_error
0.77637
root_relative_squared_error
1.41476
root_relative_squared_error
1.173392
root_relative_squared_error
0.133862
root_relative_squared_error
1.007752
root_relative_squared_error
0.672992
root_relative_squared_error
1.420266
root_relative_squared_error
0.908531
root_relative_squared_error
1.022891
root_relative_squared_error
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