387748
2
Joaquin Vanschoren
4333
Supervised Classification
predictive_accuracy
1080
weka.NBTree(3)
1850
weka.classifiers.trees.NBTree
weka
weka_3.7.12
762
fri_c2_100_10
https://www.openml.org/data/download/53296/fri_c2_100_10.arff
-1
1353313
description
https://api.openml.org/data/download/1353313/weka_generated_run5757906096286530059.xml
-1
1353316
model_readable
https://api.openml.org/data/download/1353316/WekaModel_weka.classifiers.trees.NBTree7225897205242601155.model
-1
1353315
model_serialized
https://api.openml.org/data/download/1353315/WekaSerialized_weka.classifiers.trees.NBTree6680775435105586815.model
-1
1353314
predictions
https://api.openml.org/data/download/1353314/weka_generated_predictions7133560049423358926.arff
area_under_roc_curve
0.770069 [0.770069,0.770069]
average_cost
0
f_measure
0.722697 [0.707368,0.735238]
kappa
0.444
kb_relative_information_score
370.419414
mean_absolute_error
0.321181
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
0.727 [0.672,0.772]
predictive_accuracy
0.722
prior_entropy
0.993055
recall
0.722 [0.746667,0.701818]
relative_absolute_error
0.648722
root_mean_prior_squared_error
0.497495
root_mean_squared_error
0.452807
root_relative_squared_error
0.910175
scimark_benchmark
942.380902 [560.3086048901283, 1014.7209476623404, 478.0684770170223, 906.1320781093249, 1752.6744042525834]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.645833 [0.645833,0.645833]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.52 [0.52,0.52]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
0.729167 [0.729167,0.729167]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.875 [0.875,0.875]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.690909 [0.727273,0.666667]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.4 [0.4,0.4]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.67033 [0.769231,0.571429]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.69011 [0.571429,0.769231]
f_measure
1 [1,1]
f_measure
0.52381 [0.714286,0.333333]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.8,0.8]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.8 [0.8,0.8]
f_measure
0.6 [0.6,0.6]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.8 [0.8,0.8]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.6 [0.6,0.6]
f_measure
0.4 [0.4,0.4]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.8 [0.75,0.833333]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.6 [0.6,0.6]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.8 [0.8,0.8]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.4 [0.4,0.4]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.285714 [0.571429,0]
f_measure
0.484848 [0.545455,0.444444]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.6 [0.6,0.6]
f_measure
0.6 [0.6,0.6]
f_measure
1 [1,1]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.909091,0.888889]
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
0.70303 [0.666667,0.727273]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.67033 [0.769231,0.571429]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.450549 [0.615385,0.285714]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.75,0.833333]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.6 [0.5,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.583333 [0.5,0.666667]
f_measure
1 [1,1]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.6 [0.5,0.666667]
f_measure
0.896703 [0.857143,0.923077]
kappa
0.444444
kappa
0.8
kappa
0.8
kappa
0.4
kappa
-0.153846
kappa
0.6
kappa
0.4
kappa
0.583333
kappa
0.8
kappa
0.8
kappa
0.230769
kappa
0.6
kappa
1
kappa
0.4
kappa
0.782609
kappa
0.4
kappa
0.8
kappa
0.4
kappa
0.4
kappa
0.6
kappa
0.347826
kappa
1
kappa
0.2
kappa
0.2
kappa
0.230769
kappa
0.6
kappa
0.4
kappa
0.782609
kappa
0.6
kappa
0.2
kappa
0.090909
kappa
0
kappa
0.2
kappa
0.8
kappa
0.615385
kappa
0.2
kappa
0.2
kappa
-0.153846
kappa
0.2
kappa
0.2
kappa
0.583333
kappa
0.4
kappa
0.2
kappa
0.4
kappa
0.4
kappa
0.6
kappa
0.6
kappa
0.230769
kappa
0.6
kappa
0.6
kappa
0.4
kappa
0
kappa
0.4
kappa
0.444444
kappa
0.8
kappa
0.615385
kappa
0.444444
kappa
-0.2
kappa
0.545455
kappa
0.782609
kappa
-0.2
kappa
0.074074
kappa
0.090909
kappa
0.230769
kappa
0.2
kappa
1
kappa
0.4
kappa
0.8
kappa
-0.153846
kappa
0.4
kappa
0.6
kappa
0.4
kappa
0.444444
kappa
0.230769
kappa
0.6
kappa
0.615385
kappa
0.4
kappa
0.4
kappa
0.4
kappa
0.444444
kappa
0
kappa
0.615385
kappa
0.583333
kappa
0.583333
kappa
0.4
kappa
0.166667
kappa
0.4
kappa
0.2
kappa
1
kappa
0.347826
kappa
0.8
kappa
0.8
kappa
0.545455
kappa
0.230769
kappa
0.6
kappa
0.583333
kappa
0.583333
kappa
0.8
kappa
0.166667
kappa
0.782609
kb_relative_information_score
1.728645
kb_relative_information_score
6.808467
kb_relative_information_score
5.743248
kb_relative_information_score
3.05503
kb_relative_information_score
-1.383654
kb_relative_information_score
4.296459
kb_relative_information_score
3.98382
kb_relative_information_score
5.022798
kb_relative_information_score
6.384274
kb_relative_information_score
6.483535
kb_relative_information_score
2.657237
kb_relative_information_score
3.968038
kb_relative_information_score
7.548349
kb_relative_information_score
3.511762
kb_relative_information_score
6.664885
kb_relative_information_score
3.12522
kb_relative_information_score
7.963419
kb_relative_information_score
3.840828
kb_relative_information_score
3.606781
kb_relative_information_score
5.629891
kb_relative_information_score
2.335085
kb_relative_information_score
7.03872
kb_relative_information_score
2.523455
kb_relative_information_score
1.743437
kb_relative_information_score
1.686347
kb_relative_information_score
3.033718
kb_relative_information_score
3.022267
kb_relative_information_score
6.325528
kb_relative_information_score
5.195152
kb_relative_information_score
1.823598
kb_relative_information_score
1.866594
kb_relative_information_score
0.348253
kb_relative_information_score
2.960372
kb_relative_information_score
6.269624
kb_relative_information_score
5.539004
kb_relative_information_score
3.807201
kb_relative_information_score
1.45672
kb_relative_information_score
-1.221713
kb_relative_information_score
1.560938
kb_relative_information_score
2.169464
kb_relative_information_score
4.637948
kb_relative_information_score
4.509775
kb_relative_information_score
1.153588
kb_relative_information_score
3.175616
kb_relative_information_score
3.809377
kb_relative_information_score
4.839538
kb_relative_information_score
6.188685
kb_relative_information_score
1.939483
kb_relative_information_score
4.942926
kb_relative_information_score
4.758413
kb_relative_information_score
3.955469
kb_relative_information_score
-0.033431
kb_relative_information_score
3.354321
kb_relative_information_score
3.221821
kb_relative_information_score
6.40565
kb_relative_information_score
5.138985
kb_relative_information_score
3.486736
kb_relative_information_score
-0.565535
kb_relative_information_score
3.760895
kb_relative_information_score
6.05975
kb_relative_information_score
-0.642686
kb_relative_information_score
-0.35018
kb_relative_information_score
1.710857
kb_relative_information_score
1.939483
kb_relative_information_score
1.646464
kb_relative_information_score
7.181784
kb_relative_information_score
2.671613
kb_relative_information_score
6.849019
kb_relative_information_score
-0.852809
kb_relative_information_score
2.908804
kb_relative_information_score
5.309854
kb_relative_information_score
3.131867
kb_relative_information_score
2.880347
kb_relative_information_score
1.610105
kb_relative_information_score
5.639961
kb_relative_information_score
5.825921
kb_relative_information_score
3.295798
kb_relative_information_score
4.125399
kb_relative_information_score
3.108588
kb_relative_information_score
3.056128
kb_relative_information_score
-0.023364
kb_relative_information_score
4.570906
kb_relative_information_score
5.268328
kb_relative_information_score
4.073051
kb_relative_information_score
4.975632
kb_relative_information_score
1.414449
kb_relative_information_score
2.873603
kb_relative_information_score
2.068291
kb_relative_information_score
8.456783
kb_relative_information_score
2.683285
kb_relative_information_score
6.395015
kb_relative_information_score
6.432567
kb_relative_information_score
4.692689
kb_relative_information_score
2.155188
kb_relative_information_score
5.272096
kb_relative_information_score
4.745602
kb_relative_information_score
4.651438
kb_relative_information_score
5.751505
kb_relative_information_score
1.808834
kb_relative_information_score
6.244396
mean_absolute_error
0.413277
mean_absolute_error
0.182827
mean_absolute_error
0.246467
mean_absolute_error
0.363066
mean_absolute_error
0.541406
mean_absolute_error
0.310109
mean_absolute_error
0.315128
mean_absolute_error
0.250152
mean_absolute_error
0.199248
mean_absolute_error
0.202849
mean_absolute_error
0.355135
mean_absolute_error
0.329121
mean_absolute_error
0.161902
mean_absolute_error
0.335107
mean_absolute_error
0.175114
mean_absolute_error
0.357861
mean_absolute_error
0.121508
mean_absolute_error
0.303481
mean_absolute_error
0.331667
mean_absolute_error
0.240225
mean_absolute_error
0.376118
mean_absolute_error
0.18808
mean_absolute_error
0.373659
mean_absolute_error
0.419988
mean_absolute_error
0.405835
mean_absolute_error
0.3633
mean_absolute_error
0.365188
mean_absolute_error
0.190593
mean_absolute_error
0.263425
mean_absolute_error
0.412085
mean_absolute_error
0.394794
mean_absolute_error
0.479898
mean_absolute_error
0.35032
mean_absolute_error
0.216637
mean_absolute_error
0.22905
mean_absolute_error
0.308912
mean_absolute_error
0.436345
mean_absolute_error
0.539172
mean_absolute_error
0.429627
mean_absolute_error
0.391147
mean_absolute_error
0.273853
mean_absolute_error
0.291399
mean_absolute_error
0.452702
mean_absolute_error
0.355452
mean_absolute_error
0.300448
mean_absolute_error
0.279734
mean_absolute_error
0.203833
mean_absolute_error
0.390963
mean_absolute_error
0.272856
mean_absolute_error
0.284111
mean_absolute_error
0.315658
mean_absolute_error
0.485674
mean_absolute_error
0.324274
mean_absolute_error
0.337522
mean_absolute_error
0.209104
mean_absolute_error
0.250803
mean_absolute_error
0.320918
mean_absolute_error
0.516227
mean_absolute_error
0.324943
mean_absolute_error
0.212227
mean_absolute_error
0.525905
mean_absolute_error
0.503506
mean_absolute_error
0.402318
mean_absolute_error
0.390963
mean_absolute_error
0.421455
mean_absolute_error
0.158744
mean_absolute_error
0.36342
mean_absolute_error
0.190652
mean_absolute_error
0.520964
mean_absolute_error
0.354162
mean_absolute_error
0.250955
mean_absolute_error
0.341587
mean_absolute_error
0.356357
mean_absolute_error
0.409976
mean_absolute_error
0.229087
mean_absolute_error
0.210695
mean_absolute_error
0.330533
mean_absolute_error
0.306109
mean_absolute_error
0.342509
mean_absolute_error
0.342008
mean_absolute_error
0.501958
mean_absolute_error
0.278788
mean_absolute_error
0.236012
mean_absolute_error
0.307535
mean_absolute_error
0.259724
mean_absolute_error
0.421229
mean_absolute_error
0.351106
mean_absolute_error
0.396178
mean_absolute_error
0.08919
mean_absolute_error
0.368174
mean_absolute_error
0.208776
mean_absolute_error
0.189778
mean_absolute_error
0.27097
mean_absolute_error
0.376307
mean_absolute_error
0.249833
mean_absolute_error
0.267676
mean_absolute_error
0.273703
mean_absolute_error
0.246972
mean_absolute_error
0.398425
mean_absolute_error
0.201352
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
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
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
0.828571 [0.571429,1]
precision
0.916667 [1,0.833333]
precision
0.916667 [0.833333,1]
precision
0.708333 [0.666667,0.75]
precision
0.433333 [0.333333,0.5]
precision
0.857143 [1,0.714286]
precision
0.708333 [0.666667,0.75]
precision
0.8 [0.75,0.833333]
precision
0.916667 [0.833333,1]
precision
0.916667 [0.833333,1]
precision
0.65 [0.5,0.75]
precision
0.8 [0.8,0.8]
precision
1 [1,1]
precision
0.708333 [0.75,0.666667]
precision
0.914286 [1,0.857143]
precision
0.708333 [0.666667,0.75]
precision
0.916667 [0.833333,1]
precision
0.72 [0.6,0.8]
precision
0.8125 [0.625,1]
precision
0.857143 [0.714286,1]
precision
0.695238 [0.666667,0.714286]
precision
1 [1,1]
precision
0.777778 [0.555556,1]
precision
0.619048 [0.666667,0.571429]
precision
0.65 [0.5,0.75]
precision
0.8 [0.8,0.8]
precision
0.8125 [1,0.625]
precision
0.914286 [1,0.857143]
precision
0.8 [0.8,0.8]
precision
0.6 [0.6,0.6]
precision
0.575 [0.5,0.625]
precision
0.5 [0.5,0.5]
precision
0.619048 [0.571429,0.666667]
precision
0.916667 [0.833333,1]
precision
0.866667 [0.666667,1]
precision
0.619048 [0.571429,0.666667]
precision
0.6 [0.6,0.6]
precision
0.433333 [0.333333,0.5]
precision
0.6 [0.6,0.6]
precision
0.619048 [0.666667,0.571429]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.666667,0.75]
precision
0.619048 [0.666667,0.571429]
precision
0.8125 [1,0.625]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.8,0.8]
precision
0.65 [0.5,0.75]
precision
0.857143 [1,0.714286]
precision
0.8 [0.8,0.8]
precision
0.708333 [0.666667,0.75]
precision
0.52 [0.4,0.6]
precision
0.72 [0.6,0.8]
precision
0.828571 [0.571429,1]
precision
0.916667 [0.833333,1]
precision
0.866667 [0.666667,1]
precision
0.828571 [0.571429,1]
precision
0.4 [0.4,0.4]
precision
0.85 [1,0.75]
precision
0.914286 [1,0.857143]
precision
0.222222 [0.444444,0]
precision
0.571429 [0.428571,0.666667]
precision
0.575 [0.5,0.625]
precision
0.65 [0.5,0.75]
precision
0.6 [0.6,0.6]
precision
1 [1,1]
precision
0.72 [0.6,0.8]
precision
0.916667 [0.833333,1]
precision
0.433333 [0.333333,0.5]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.72 [0.6,0.8]
precision
0.828571 [0.571429,1]
precision
0.65 [0.5,0.75]
precision
0.8 [0.8,0.8]
precision
0.866667 [0.666667,1]
precision
0.72 [0.6,0.8]
precision
0.8125 [0.625,1]
precision
0.72 [0.6,0.8]
precision
0.828571 [0.571429,1]
precision
0.5 [0.5,0.5]
precision
0.866667 [0.666667,1]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.75,0.833333]
precision
0.8125 [1,0.625]
precision
0.6 [0.5,0.666667]
precision
0.72 [0.6,0.8]
precision
0.619048 [0.666667,0.571429]
precision
1 [1,1]
precision
0.695238 [0.666667,0.714286]
precision
0.916667 [1,0.833333]
precision
0.92 [0.8,1]
precision
0.85 [1,0.75]
precision
0.65 [0.5,0.75]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.75,0.833333]
precision
0.916667 [1,0.833333]
precision
0.6 [0.5,0.666667]
precision
0.914286 [1,0.857143]
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
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
0.7 [1,0.5]
recall
0.9 [0.8,1]
recall
0.9 [1,0.8]
recall
0.7 [0.8,0.6]
recall
0.4 [0.5,0.333333]
recall
0.8 [0.6,1]
recall
0.7 [0.8,0.6]
recall
0.8 [0.75,0.833333]
recall
0.9 [1,0.8]
recall
0.9 [1,0.8]
recall
0.6 [0.75,0.5]
recall
0.8 [0.8,0.8]
recall
1 [1,1]
recall
0.7 [0.6,0.8]
recall
0.9 [0.75,1]
recall
0.7 [0.8,0.6]
recall
0.9 [1,0.8]
recall
0.7 [0.75,0.666667]
recall
0.7 [1,0.4]
recall
0.8 [1,0.6]
recall
0.7 [0.5,0.833333]
recall
1 [1,1]
recall
0.6 [1,0.2]
recall
0.6 [0.4,0.8]
recall
0.6 [0.75,0.5]
recall
0.8 [0.8,0.8]
recall
0.7 [0.4,1]
recall
0.9 [0.75,1]
recall
0.8 [0.8,0.8]
recall
0.6 [0.6,0.6]
recall
0.6 [0.25,0.833333]
recall
0.5 [0.4,0.6]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.8]
recall
0.8 [1,0.666667]
recall
0.6 [0.8,0.4]
recall
0.6 [0.6,0.6]
recall
0.4 [0.5,0.333333]
recall
0.6 [0.6,0.6]
recall
0.6 [0.4,0.8]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.8,0.6]
recall
0.6 [0.4,0.8]
recall
0.7 [0.4,1]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.8 [0.8,0.8]
recall
0.6 [0.75,0.5]
recall
0.8 [0.6,1]
recall
0.8 [0.8,0.8]
recall
0.7 [0.8,0.6]
recall
0.5 [0.5,0.5]
recall
0.7 [0.75,0.666667]
recall
0.7 [1,0.5]
recall
0.9 [1,0.8]
recall
0.8 [1,0.666667]
recall
0.7 [1,0.5]
recall
0.4 [0.4,0.4]
recall
0.8 [0.5,1]
recall
0.9 [0.75,1]
recall
0.4 [0.8,0]
recall
0.5 [0.75,0.333333]
recall
0.6 [0.25,0.833333]
recall
0.6 [0.75,0.5]
recall
0.6 [0.6,0.6]
recall
1 [1,1]
recall
0.7 [0.75,0.666667]
recall
0.9 [1,0.8]
recall
0.4 [0.5,0.333333]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.7 [0.75,0.666667]
recall
0.7 [1,0.5]
recall
0.6 [0.75,0.5]
recall
0.8 [0.8,0.8]
recall
0.8 [1,0.666667]
recall
0.7 [0.75,0.666667]
recall
0.7 [1,0.4]
recall
0.7 [0.75,0.666667]
recall
0.7 [1,0.5]
recall
0.5 [0.8,0.2]
recall
0.8 [1,0.666667]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.4,1]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.4,0.8]
recall
1 [1,1]
recall
0.7 [0.5,0.833333]
recall
0.9 [0.8,1]
recall
0.9 [1,0.833333]
recall
0.8 [0.5,1]
recall
0.6 [0.75,0.5]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.9 [0.8,1]
recall
0.6 [0.5,0.666667]
recall
0.9 [0.75,1]
relative_absolute_error
0.843085
relative_absolute_error
0.365654
relative_absolute_error
0.492933
relative_absolute_error
0.726132
relative_absolute_error
1.104468
relative_absolute_error
0.620218
relative_absolute_error
0.630256
relative_absolute_error
0.51031
relative_absolute_error
0.398496
relative_absolute_error
0.405698
relative_absolute_error
0.724475
relative_absolute_error
0.658242
relative_absolute_error
0.323804
relative_absolute_error
0.670215
relative_absolute_error
0.357232
relative_absolute_error
0.715722
relative_absolute_error
0.243016
relative_absolute_error
0.619101
relative_absolute_error
0.663333
relative_absolute_error
0.48045
relative_absolute_error
0.767281
relative_absolute_error
0.376161
relative_absolute_error
0.747318
relative_absolute_error
0.839975
relative_absolute_error
0.827903
relative_absolute_error
0.7266
relative_absolute_error
0.730375
relative_absolute_error
0.388809
relative_absolute_error
0.52685
relative_absolute_error
0.82417
relative_absolute_error
0.805379
relative_absolute_error
0.959796
relative_absolute_error
0.700641
relative_absolute_error
0.433274
relative_absolute_error
0.467261
relative_absolute_error
0.617823
relative_absolute_error
0.872689
relative_absolute_error
1.09991
relative_absolute_error
0.859253
relative_absolute_error
0.782294
relative_absolute_error
0.55866
relative_absolute_error
0.582798
relative_absolute_error
0.905403
relative_absolute_error
0.710905
relative_absolute_error
0.612914
relative_absolute_error
0.559469
relative_absolute_error
0.407666
relative_absolute_error
0.797565
relative_absolute_error
0.545711
relative_absolute_error
0.568222
relative_absolute_error
0.631317
relative_absolute_error
0.990774
relative_absolute_error
0.661518
relative_absolute_error
0.688544
relative_absolute_error
0.418207
relative_absolute_error
0.511638
relative_absolute_error
0.654673
relative_absolute_error
1.032454
relative_absolute_error
0.662883
relative_absolute_error
0.432942
relative_absolute_error
1.051809
relative_absolute_error
1.027152
relative_absolute_error
0.820729
relative_absolute_error
0.797565
relative_absolute_error
0.84291
relative_absolute_error
0.323839
relative_absolute_error
0.741377
relative_absolute_error
0.381303
relative_absolute_error
1.062767
relative_absolute_error
0.722489
relative_absolute_error
0.501909
relative_absolute_error
0.696838
relative_absolute_error
0.726967
relative_absolute_error
0.836351
relative_absolute_error
0.458174
relative_absolute_error
0.429818
relative_absolute_error
0.674288
relative_absolute_error
0.612217
relative_absolute_error
0.698719
relative_absolute_error
0.697696
relative_absolute_error
1.003917
relative_absolute_error
0.568728
relative_absolute_error
0.481464
relative_absolute_error
0.627371
relative_absolute_error
0.519447
relative_absolute_error
0.859307
relative_absolute_error
0.716256
relative_absolute_error
0.792356
relative_absolute_error
0.181947
relative_absolute_error
0.751075
relative_absolute_error
0.417552
relative_absolute_error
0.387147
relative_absolute_error
0.552778
relative_absolute_error
0.767667
relative_absolute_error
0.499667
relative_absolute_error
0.546058
relative_absolute_error
0.558354
relative_absolute_error
0.493945
relative_absolute_error
0.812787
relative_absolute_error
0.410758
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
0.522338
root_mean_squared_error
0.309884
root_mean_squared_error
0.32272
root_mean_squared_error
0.48525
root_mean_squared_error
0.677889
root_mean_squared_error
0.424333
root_mean_squared_error
0.406931
root_mean_squared_error
0.397119
root_mean_squared_error
0.282549
root_mean_squared_error
0.287607
root_mean_squared_error
0.496905
root_mean_squared_error
0.400943
root_mean_squared_error
0.169575
root_mean_squared_error
0.476718
root_mean_squared_error
0.31434
root_mean_squared_error
0.500619
root_mean_squared_error
0.192998
root_mean_squared_error
0.426981
root_mean_squared_error
0.447333
root_mean_squared_error
0.339822
root_mean_squared_error
0.530653
root_mean_squared_error
0.205324
root_mean_squared_error
0.535756
root_mean_squared_error
0.524915
root_mean_squared_error
0.535958
root_mean_squared_error
0.464522
root_mean_squared_error
0.478182
root_mean_squared_error
0.343341
root_mean_squared_error
0.362284
root_mean_squared_error
0.56021
root_mean_squared_error
0.556267
root_mean_squared_error
0.579262
root_mean_squared_error
0.476812
root_mean_squared_error
0.299559
root_mean_squared_error
0.335687
root_mean_squared_error
0.443559
root_mean_squared_error
0.573603
root_mean_squared_error
0.664495
root_mean_squared_error
0.551416
root_mean_squared_error
0.524654
root_mean_squared_error
0.36946
root_mean_squared_error
0.400293
root_mean_squared_error
0.584082
root_mean_squared_error
0.498815
root_mean_squared_error
0.454032
root_mean_squared_error
0.405931
root_mean_squared_error
0.348451
root_mean_squared_error
0.532732
root_mean_squared_error
0.429812
root_mean_squared_error
0.41409
root_mean_squared_error
0.449245
root_mean_squared_error
0.621921
root_mean_squared_error
0.466685
root_mean_squared_error
0.441278
root_mean_squared_error
0.298501
root_mean_squared_error
0.34781
root_mean_squared_error
0.417742
root_mean_squared_error
0.605909
root_mean_squared_error
0.403909
root_mean_squared_error
0.328151
root_mean_squared_error
0.587855
root_mean_squared_error
0.595418
root_mean_squared_error
0.594852
root_mean_squared_error
0.532732
root_mean_squared_error
0.541705
root_mean_squared_error
0.200204
root_mean_squared_error
0.539034
root_mean_squared_error
0.224588
root_mean_squared_error
0.629519
root_mean_squared_error
0.47446
root_mean_squared_error
0.370559
root_mean_squared_error
0.493517
root_mean_squared_error
0.465056
root_mean_squared_error
0.551985
root_mean_squared_error
0.351639
root_mean_squared_error
0.331239
root_mean_squared_error
0.5022
root_mean_squared_error
0.401339
root_mean_squared_error
0.501449
root_mean_squared_error
0.45708
root_mean_squared_error
0.610345
root_mean_squared_error
0.409596
root_mean_squared_error
0.366127
root_mean_squared_error
0.404004
root_mean_squared_error
0.349336
root_mean_squared_error
0.563506
root_mean_squared_error
0.449382
root_mean_squared_error
0.560716
root_mean_squared_error
0.111603
root_mean_squared_error
0.477869
root_mean_squared_error
0.310715
root_mean_squared_error
0.293572
root_mean_squared_error
0.428484
root_mean_squared_error
0.514956
root_mean_squared_error
0.398651
root_mean_squared_error
0.406775
root_mean_squared_error
0.417953
root_mean_squared_error
0.309188
root_mean_squared_error
0.527201
root_mean_squared_error
0.308557
root_relative_squared_error
1.060492
root_relative_squared_error
0.61681
root_relative_squared_error
0.642361
root_relative_squared_error
0.96587
root_relative_squared_error
1.376303
root_relative_squared_error
0.844616
root_relative_squared_error
0.80998
root_relative_squared_error
0.806262
root_relative_squared_error
0.562402
root_relative_squared_error
0.57247
root_relative_squared_error
1.008855
root_relative_squared_error
0.79806
root_relative_squared_error
0.337532
root_relative_squared_error
0.948886
root_relative_squared_error
0.638197
root_relative_squared_error
0.99646
root_relative_squared_error
0.384154
root_relative_squared_error
0.866891
root_relative_squared_error
0.890397
root_relative_squared_error
0.676401
root_relative_squared_error
1.077374
root_relative_squared_error
0.408689
root_relative_squared_error
1.0664
root_relative_squared_error
1.04482
root_relative_squared_error
1.088144
root_relative_squared_error
0.924611
root_relative_squared_error
0.9518
root_relative_squared_error
0.697078
root_relative_squared_error
0.72111
root_relative_squared_error
1.115074
root_relative_squared_error
1.129377
root_relative_squared_error
1.152996
root_relative_squared_error
0.949073
root_relative_squared_error
0.596259
root_relative_squared_error
0.681538
root_relative_squared_error
0.882885
root_relative_squared_error
1.141731
root_relative_squared_error
1.34911
root_relative_squared_error
1.09757
root_relative_squared_error
1.044301
root_relative_squared_error
0.750107
root_relative_squared_error
0.796766
root_relative_squared_error
1.16259
root_relative_squared_error
0.99287
root_relative_squared_error
0.921811
root_relative_squared_error
0.807987
root_relative_squared_error
0.693576
root_relative_squared_error
1.081594
root_relative_squared_error
0.855522
root_relative_squared_error
0.824229
root_relative_squared_error
0.894203
root_relative_squared_error
1.262672
root_relative_squared_error
0.9475
root_relative_squared_error
0.895917
root_relative_squared_error
0.594154
root_relative_squared_error
0.706151
root_relative_squared_error
0.848132
root_relative_squared_error
1.206036
root_relative_squared_error
0.820048
root_relative_squared_error
0.666237
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