446651
2
Joaquin Vanschoren
4523
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
955
tae
https://www.openml.org/data/download/53489/tae.arff
-1
1565203
description
https://api.openml.org/data/download/1565203/weka_generated_run8229272303946958060.xml
-1
1565206
model_readable
https://api.openml.org/data/download/1565206/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1483053807981545417.model
-1
1565205
model_serialized
https://api.openml.org/data/download/1565205/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2183068112363703616.model
-1
1565204
predictions
https://api.openml.org/data/download/1565204/weka_generated_predictions4433842457421203190.arff
area_under_roc_curve
0.612344 [0.612344,0.612344]
average_cost
0
f_measure
0.718419 [0.562368,0.800386]
kappa
0.365611
kb_relative_information_score
220.313165
mean_absolute_error
0.394241
mean_prior_absolute_error
0.452192
number_of_instances
1510 [520,990]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.717034 [0.624413,0.765683]
predictive_accuracy
0.725828
prior_entropy
0.930817
recall
0.725828 [0.511538,0.838384]
relative_absolute_error
0.871844
root_mean_prior_squared_error
0.475167
root_mean_squared_error
0.449647
root_relative_squared_error
0.946293
scimark_benchmark
933.345534 [557.0873895316777, 1011.5249537742577, 441.869051235415, 905.8189936379142, 1750.4272808716194]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.416667 [0.416667,0.416667]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.608333 [0.608333,0.608333]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.608333 [0.608333,0.608333]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.61 [0.61,0.61]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.59 [0.59,0.59]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.47 [0.47,0.47]
area_under_roc_curve
0.546296 [0.546296,0.546296]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.62037 [0.62037,0.62037]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.546296 [0.546296,0.546296]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.49 [0.49,0.49]
area_under_roc_curve
0.49 [0.49,0.49]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.48 [0.48,0.48]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.61 [0.61,0.61]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.77 [0.77,0.77]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.61 [0.61,0.61]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.87 [0.87,0.87]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.83 [0.83,0.83]
area_under_roc_curve
0.59 [0.59,0.59]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.53 [0.53,0.53]
area_under_roc_curve
0.51 [0.51,0.51]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.59 [0.59,0.59]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.685185 [0.685185,0.685185]
area_under_roc_curve
0.824074 [0.824074,0.824074]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.805556 [0.805556,0.805556]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.768519 [0.768519,0.768519]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.842593 [0.842593,0.842593]
area_under_roc_curve
0.68 [0.68,0.68]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.472727 [0.2,0.636364]
f_measure
0.793478 [0.666667,0.869565]
f_measure
0.691296 [0.615385,0.736842]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.814777 [0.769231,0.842105]
f_measure
0.691296 [0.615385,0.736842]
f_measure
0.655797 [0.444444,0.782609]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.6 [0.4,0.7]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.537557 [0.461538,0.588235]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.660287 [0.545455,0.736842]
f_measure
0.611111 [0.5,0.666667]
f_measure
0.533333 [0.533333,0.533333]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.866667 [0.8,0.9]
f_measure
0.733333 [0.6,0.8]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.866667 [0.8,0.9]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.866667 [0.8,0.9]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.866667 [0.8,0.9]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.866667 [0.8,0.9]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.866667 [0.8,0.9]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.866667 [0.8,0.9]
f_measure
0.6 [0.4,0.7]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.87037 [0.833333,0.888889]
f_measure
0.6 [0.4,0.7]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.6 [0.4,0.7]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.5 [0,0.75]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.733333 [0.666667,0.777778]
f_measure
0.866667 [0.833333,0.888889]
f_measure
0.733333 [0.666667,0.777778]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.80181 [0.769231,0.823529]
f_measure
0.733333 [0.6,0.8]
f_measure
0.796172 [0.727273,0.842105]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.866667 [0.833333,0.888889]
f_measure
0.733333 [0.6,0.8]
kappa
-0.142857
kappa
0.555556
kappa
0.354839
kappa
0.586207
kappa
0.142857
kappa
0.310345
kappa
0.612903
kappa
0.354839
kappa
0.259259
kappa
0.142857
kappa
0.1
kappa
0.285714
kappa
0.210526
kappa
0.333333
kappa
0
kappa
0.054054
kappa
0.470588
kappa
0.285714
kappa
0.181818
kappa
0.102564
kappa
0.333333
kappa
0
kappa
0
kappa
0.7
kappa
0.4
kappa
0.285714
kappa
0
kappa
0.333333
kappa
0.285714
kappa
0.7
kappa
0.117647
kappa
0.454545
kappa
0.666667
kappa
0.1
kappa
0.25
kappa
0.117647
kappa
0.7
kappa
0.117647
kappa
0.347826
kappa
0.666667
kappa
0.571429
kappa
0.117647
kappa
0.470588
kappa
0.1
kappa
0.25
kappa
0.470588
kappa
0.210526
kappa
0.526316
kappa
0.25
kappa
0.210526
kappa
0.7
kappa
0.117647
kappa
0.285714
kappa
0.210526
kappa
0.25
kappa
0.666667
kappa
0.210526
kappa
0.857143
kappa
0.25
kappa
0.526316
kappa
0.7
kappa
0.454545
kappa
0.470588
kappa
0.210526
kappa
0.571429
kappa
0.7
kappa
0.210526
kappa
0.285714
kappa
0.470588
kappa
0.470588
kappa
0.333333
kappa
0.333333
kappa
0.7
kappa
0.1
kappa
0.210526
kappa
0.727273
kappa
0.1
kappa
0
kappa
0.333333
kappa
0.333333
kappa
0.526316
kappa
0.526316
kappa
0.1
kappa
0.842105
kappa
0.25
kappa
-0.125
kappa
0.526316
kappa
0.25
kappa
0.571429
kappa
0.210526
kappa
0.444444
kappa
0.722222
kappa
0.444444
kappa
0.545455
kappa
0.594595
kappa
0.4
kappa
0.571429
kappa
0.571429
kappa
0.722222
kappa
0.4
kb_relative_information_score
-1.205023
kb_relative_information_score
3.571717
kb_relative_information_score
1.788015
kb_relative_information_score
3.922449
kb_relative_information_score
1.010222
kb_relative_information_score
1.561535
kb_relative_information_score
3.517893
kb_relative_information_score
2.019969
kb_relative_information_score
2.133563
kb_relative_information_score
0.902402
kb_relative_information_score
0.530309
kb_relative_information_score
1.280672
kb_relative_information_score
1.226059
kb_relative_information_score
2.354219
kb_relative_information_score
-2.970117
kb_relative_information_score
-0.121407
kb_relative_information_score
3.18119
kb_relative_information_score
1.797317
kb_relative_information_score
0.404538
kb_relative_information_score
-0.661829
kb_relative_information_score
2.575379
kb_relative_information_score
-0.203515
kb_relative_information_score
0.179512
kb_relative_information_score
3.814214
kb_relative_information_score
1.826853
kb_relative_information_score
1.267679
kb_relative_information_score
-0.260147
kb_relative_information_score
2.319667
kb_relative_information_score
0.278846
kb_relative_information_score
3.420461
kb_relative_information_score
1.131012
kb_relative_information_score
2.548422
kb_relative_information_score
4.663765
kb_relative_information_score
0.094552
kb_relative_information_score
2.710751
kb_relative_information_score
1.591015
kb_relative_information_score
4.297506
kb_relative_information_score
1.352109
kb_relative_information_score
0.318343
kb_relative_information_score
4.351365
kb_relative_information_score
2.705056
kb_relative_information_score
1.352109
kb_relative_information_score
3.084987
kb_relative_information_score
0.165348
kb_relative_information_score
2.305151
kb_relative_information_score
3.18119
kb_relative_information_score
0.539372
kb_relative_information_score
3.242732
kb_relative_information_score
2.305151
kb_relative_information_score
1.799074
kb_relative_information_score
3.685205
kb_relative_information_score
1.333174
kb_relative_information_score
1.030164
kb_relative_information_score
1.538616
kb_relative_information_score
2.364922
kb_relative_information_score
4.457779
kb_relative_information_score
1.292256
kb_relative_information_score
5.382033
kb_relative_information_score
2.364922
kb_relative_information_score
3.556634
kb_relative_information_score
4.415866
kb_relative_information_score
2.310805
kb_relative_information_score
3.18119
kb_relative_information_score
1.213187
kb_relative_information_score
3.714596
kb_relative_information_score
4.236346
kb_relative_information_score
1.599212
kb_relative_information_score
1.249183
kb_relative_information_score
3.611448
kb_relative_information_score
3.273361
kb_relative_information_score
2.319667
kb_relative_information_score
2.096003
kb_relative_information_score
3.716704
kb_relative_information_score
0.497114
kb_relative_information_score
0.407556
kb_relative_information_score
3.644573
kb_relative_information_score
0.138587
kb_relative_information_score
0.130919
kb_relative_information_score
2.319667
kb_relative_information_score
2.275264
kb_relative_information_score
3.261747
kb_relative_information_score
3.1555
kb_relative_information_score
0.464013
kb_relative_information_score
4.830254
kb_relative_information_score
5.14691
kb_relative_information_score
-0.166678
kb_relative_information_score
3.516769
kb_relative_information_score
2.364922
kb_relative_information_score
3.714596
kb_relative_information_score
1.31055
kb_relative_information_score
2.740598
kb_relative_information_score
4.565704
kb_relative_information_score
2.348016
kb_relative_information_score
3.344271
kb_relative_information_score
4.312165
kb_relative_information_score
2.607317
kb_relative_information_score
3.963157
kb_relative_information_score
3.503495
kb_relative_information_score
4.550207
kb_relative_information_score
2.221046
mean_absolute_error
0.478439
mean_absolute_error
0.380045
mean_absolute_error
0.417095
mean_absolute_error
0.373054
mean_absolute_error
0.431922
mean_absolute_error
0.423999
mean_absolute_error
0.382637
mean_absolute_error
0.411851
mean_absolute_error
0.408364
mean_absolute_error
0.434521
mean_absolute_error
0.424137
mean_absolute_error
0.40913
mean_absolute_error
0.410948
mean_absolute_error
0.385676
mean_absolute_error
0.510801
mean_absolute_error
0.463783
mean_absolute_error
0.368056
mean_absolute_error
0.422551
mean_absolute_error
0.427622
mean_absolute_error
0.479194
mean_absolute_error
0.37942
mean_absolute_error
0.445428
mean_absolute_error
0.4337
mean_absolute_error
0.356472
mean_absolute_error
0.3993
mean_absolute_error
0.410083
mean_absolute_error
0.446843
mean_absolute_error
0.386569
mean_absolute_error
0.438294
mean_absolute_error
0.367884
mean_absolute_error
0.412852
mean_absolute_error
0.380883
mean_absolute_error
0.334667
mean_absolute_error
0.436231
mean_absolute_error
0.375629
mean_absolute_error
0.400455
mean_absolute_error
0.344047
mean_absolute_error
0.407272
mean_absolute_error
0.436831
mean_absolute_error
0.342136
mean_absolute_error
0.382913
mean_absolute_error
0.407272
mean_absolute_error
0.370367
mean_absolute_error
0.434412
mean_absolute_error
0.38646
mean_absolute_error
0.368056
mean_absolute_error
0.428472
mean_absolute_error
0.36718
mean_absolute_error
0.38646
mean_absolute_error
0.395331
mean_absolute_error
0.359526
mean_absolute_error
0.407905
mean_absolute_error
0.416402
mean_absolute_error
0.402151
mean_absolute_error
0.38499
mean_absolute_error
0.339646
mean_absolute_error
0.409268
mean_absolute_error
0.321508
mean_absolute_error
0.38499
mean_absolute_error
0.358742
mean_absolute_error
0.341251
mean_absolute_error
0.387009
mean_absolute_error
0.368056
mean_absolute_error
0.411115
mean_absolute_error
0.35527
mean_absolute_error
0.34548
mean_absolute_error
0.40058
mean_absolute_error
0.410695
mean_absolute_error
0.356876
mean_absolute_error
0.365903
mean_absolute_error
0.386569
mean_absolute_error
0.391965
mean_absolute_error
0.357736
mean_absolute_error
0.424704
mean_absolute_error
0.433539
mean_absolute_error
0.36109
mean_absolute_error
0.435028
mean_absolute_error
0.43512
mean_absolute_error
0.386569
mean_absolute_error
0.387667
mean_absolute_error
0.366661
mean_absolute_error
0.368468
mean_absolute_error
0.425854
mean_absolute_error
0.333471
mean_absolute_error
0.329223
mean_absolute_error
0.444185
mean_absolute_error
0.359707
mean_absolute_error
0.38499
mean_absolute_error
0.35527
mean_absolute_error
0.40866
mean_absolute_error
0.40251
mean_absolute_error
0.363748
mean_absolute_error
0.414195
mean_absolute_error
0.389145
mean_absolute_error
0.365653
mean_absolute_error
0.379046
mean_absolute_error
0.374257
mean_absolute_error
0.360538
mean_absolute_error
0.362768
mean_absolute_error
0.389393
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
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16 [6,10]
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16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
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number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
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number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
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number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
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15 [5,10]
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15 [5,10]
number_of_instances
15 [5,10]
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15 [5,10]
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15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
precision
0.458333 [0.25,0.583333]
precision
0.855769 [1,0.769231]
precision
0.700397 [0.571429,0.777778]
precision
0.811364 [0.8,0.818182]
precision
0.604167 [0.5,0.666667]
precision
0.679545 [0.6,0.727273]
precision
0.823413 [0.714286,0.888889]
precision
0.700397 [0.571429,0.777778]
precision
0.682692 [0.666667,0.692308]
precision
0.604167 [0.5,0.666667]
precision
0.6 [0.4,0.7]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.722222 [0.666667,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.546429 [0.428571,0.625]
precision
0.846154 [1,0.769231]
precision
0.66 [0.6,0.7]
precision
0.642857 [0.428571,0.75]
precision
0.577778 [0.444444,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.866667 [0.8,0.9]
precision
0.733333 [0.6,0.8]
precision
0.685185 [0.5,0.777778]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.685185 [0.5,0.777778]
precision
0.866667 [0.8,0.9]
precision
0.628205 [0.5,0.692308]
precision
0.77381 [0.571429,0.875]
precision
0.888889 [1,0.833333]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.628205 [0.5,0.692308]
precision
0.866667 [0.8,0.9]
precision
0.628205 [0.5,0.692308]
precision
0.738095 [0.5,0.857143]
precision
0.888889 [1,0.833333]
precision
0.814815 [0.666667,0.888889]
precision
0.628205 [0.5,0.692308]
precision
0.846154 [1,0.769231]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.846154 [1,0.769231]
precision
0.651515 [0.5,0.727273]
precision
0.795455 [0.75,0.818182]
precision
0.809524 [1,0.714286]
precision
0.651515 [0.5,0.727273]
precision
0.866667 [0.8,0.9]
precision
0.628205 [0.5,0.692308]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.809524 [1,0.714286]
precision
0.888889 [1,0.833333]
precision
0.651515 [0.5,0.727273]
precision
0.944444 [0.833333,1]
precision
0.809524 [1,0.714286]
precision
0.795455 [0.75,0.818182]
precision
0.866667 [0.8,0.9]
precision
0.77381 [0.571429,0.875]
precision
0.846154 [1,0.769231]
precision
0.651515 [0.5,0.727273]
precision
0.814815 [0.666667,0.888889]
precision
0.866667 [0.8,0.9]
precision
0.651515 [0.5,0.727273]
precision
0.685185 [0.5,0.777778]
precision
0.846154 [1,0.769231]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.8,0.9]
precision
0.6 [0.4,0.7]
precision
0.651515 [0.5,0.727273]
precision
0.904762 [0.714286,1]
precision
0.6 [0.4,0.7]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.795455 [0.75,0.818182]
precision
0.795455 [0.75,0.818182]
precision
0.6 [0.4,0.7]
precision
0.939394 [1,0.909091]
precision
0.809524 [1,0.714286]
precision
0.428571 [0,0.642857]
precision
0.795455 [0.75,0.818182]
precision
0.809524 [1,0.714286]
precision
0.814815 [0.666667,0.888889]
precision
0.651515 [0.5,0.727273]
precision
0.733333 [0.666667,0.777778]
precision
0.866667 [0.833333,0.888889]
precision
0.733333 [0.666667,0.777778]
precision
0.85 [1,0.75]
precision
0.810714 [0.714286,0.875]
precision
0.733333 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.814815 [0.666667,0.888889]
precision
0.866667 [0.833333,0.888889]
precision
0.733333 [0.6,0.8]
predictive_accuracy
0.5
predictive_accuracy
0.8125
predictive_accuracy
0.6875
predictive_accuracy
0.8125
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.8125
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.625
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
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0.6
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0.733333
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0.866667
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0.666667
predictive_accuracy
0.733333
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0.6
predictive_accuracy
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predictive_accuracy
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0.866667
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0.866667
predictive_accuracy
0.8
predictive_accuracy
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0.8
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
recall
0.5 [0.166667,0.7]
recall
0.8125 [0.5,1]
recall
0.6875 [0.666667,0.7]
recall
0.8125 [0.666667,0.9]
recall
0.625 [0.333333,0.8]
recall
0.6875 [0.5,0.8]
recall
0.8125 [0.833333,0.8]
recall
0.6875 [0.666667,0.7]
recall
0.6875 [0.333333,0.9]
recall
0.625 [0.333333,0.8]
recall
0.6 [0.4,0.7]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.4,0.9]
recall
0.466667 [0.6,0.4]
recall
0.533333 [0.5,0.555556]
recall
0.8 [0.4,1]
recall
0.666667 [0.5,0.777778]
recall
0.6 [0.6,0.6]
recall
0.533333 [0.666667,0.444444]
recall
0.733333 [0.4,0.9]
recall
0.6 [0.2,0.8]
recall
0.6 [0.2,0.8]
recall
0.866667 [0.8,0.9]
recall
0.733333 [0.6,0.8]
recall
0.666667 [0.6,0.7]
recall
0.6 [0.2,0.8]
recall
0.733333 [0.4,0.9]
recall
0.666667 [0.6,0.7]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.8,0.7]
recall
0.866667 [0.6,1]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.666667 [0.2,0.9]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.8,0.6]
recall
0.866667 [0.6,1]
recall
0.8 [0.8,0.8]
recall
0.666667 [0.2,0.9]
recall
0.8 [0.4,1]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.8 [0.4,1]
recall
0.666667 [0.4,0.8]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.2,1]
recall
0.666667 [0.4,0.8]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.2,1]
recall
0.866667 [0.6,1]
recall
0.666667 [0.4,0.8]
recall
0.933333 [1,0.9]
recall
0.733333 [0.2,1]
recall
0.8 [0.6,0.9]
recall
0.866667 [0.8,0.9]
recall
0.733333 [0.8,0.7]
recall
0.8 [0.4,1]
recall
0.666667 [0.4,0.8]
recall
0.8 [0.8,0.8]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.6,0.7]
recall
0.8 [0.4,1]
recall
0.8 [0.4,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.8,0.9]
recall
0.6 [0.4,0.7]
recall
0.666667 [0.4,0.8]
recall
0.866667 [1,0.8]
recall
0.6 [0.4,0.7]
recall
0.6 [0.2,0.8]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.6,0.9]
recall
0.8 [0.6,0.9]
recall
0.6 [0.4,0.7]
recall
0.933333 [0.8,1]
recall
0.733333 [0.2,1]
recall
0.6 [0,0.9]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.2,1]
recall
0.8 [0.8,0.8]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.666667,0.777778]
recall
0.866667 [0.833333,0.888889]
recall
0.733333 [0.666667,0.777778]
recall
0.8 [0.5,1]
recall
0.8 [0.833333,0.777778]
recall
0.733333 [0.6,0.8]
recall
0.8 [0.666667,0.888889]
recall
0.8 [0.8,0.8]
recall
0.866667 [0.833333,0.888889]
recall
0.733333 [0.6,0.8]
relative_absolute_error
1.036477
relative_absolute_error
0.82332
relative_absolute_error
0.903582
relative_absolute_error
0.808173
relative_absolute_error
0.935703
relative_absolute_error
0.91854
relative_absolute_error
0.828935
relative_absolute_error
0.892223
relative_absolute_error
0.884668
relative_absolute_error
0.941335
relative_absolute_error
0.945043
relative_absolute_error
0.911605
relative_absolute_error
0.915655
relative_absolute_error
0.859345
relative_absolute_error
1.138145
relative_absolute_error
0.988285
relative_absolute_error
0.820086
relative_absolute_error
0.900422
relative_absolute_error
0.952808
relative_absolute_error
1.021125
relative_absolute_error
0.845407
relative_absolute_error
0.992483
relative_absolute_error
0.966351
relative_absolute_error
0.794275
relative_absolute_error
0.889702
relative_absolute_error
0.913729
relative_absolute_error
0.995635
relative_absolute_error
0.861336
relative_absolute_error
0.976587
relative_absolute_error
0.819703
relative_absolute_error
0.919899
relative_absolute_error
0.848667
relative_absolute_error
0.74569
relative_absolute_error
0.97199
relative_absolute_error
0.836961
relative_absolute_error
0.892276
relative_absolute_error
0.76659
relative_absolute_error
0.907466
relative_absolute_error
0.973328
relative_absolute_error
0.762332
relative_absolute_error
0.85319
relative_absolute_error
0.907466
relative_absolute_error
0.825235
relative_absolute_error
0.967938
relative_absolute_error
0.861092
relative_absolute_error
0.820086
relative_absolute_error
0.954703
relative_absolute_error
0.818135
relative_absolute_error
0.861092
relative_absolute_error
0.880858
relative_absolute_error
0.80108
relative_absolute_error
0.908876
relative_absolute_error
0.927808
relative_absolute_error
0.896056
relative_absolute_error
0.857818
relative_absolute_error
0.756784
relative_absolute_error
0.911913
relative_absolute_error
0.716369
relative_absolute_error
0.857818
relative_absolute_error
0.799332
relative_absolute_error
0.760359
relative_absolute_error
0.862317
relative_absolute_error
0.820086
relative_absolute_error
0.916028
relative_absolute_error
0.791596
relative_absolute_error
0.769783
relative_absolute_error
0.892555
relative_absolute_error
0.915092
relative_absolute_error
0.795175
relative_absolute_error
0.815289
relative_absolute_error
0.861336
relative_absolute_error
0.873359
relative_absolute_error
0.797091
relative_absolute_error
0.946307
relative_absolute_error
0.965992
relative_absolute_error
0.804564
relative_absolute_error
0.96931
relative_absolute_error
0.969514
relative_absolute_error
0.861336
relative_absolute_error
0.863782
relative_absolute_error
0.816977
relative_absolute_error
0.821004
relative_absolute_error
0.94887
relative_absolute_error
0.743024
relative_absolute_error
0.73356
relative_absolute_error
0.989713
relative_absolute_error
0.801483
relative_absolute_error
0.857818
relative_absolute_error
0.791596
relative_absolute_error
0.910557
relative_absolute_error
0.857716
relative_absolute_error
0.775118
relative_absolute_error
0.882615
relative_absolute_error
0.829237
relative_absolute_error
0.779177
relative_absolute_error
0.844572
relative_absolute_error
0.797512
relative_absolute_error
0.803335
relative_absolute_error
0.77303
relative_absolute_error
0.867628
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_squared_error
0.542853
root_mean_squared_error
0.435277
root_mean_squared_error
0.461932
root_mean_squared_error
0.415861
root_mean_squared_error
0.493706
root_mean_squared_error
0.483521
root_mean_squared_error
0.426665
root_mean_squared_error
0.463959
root_mean_squared_error
0.472072
root_mean_squared_error
0.495469
root_mean_squared_error
0.482323
root_mean_squared_error
0.458598
root_mean_squared_error
0.476587
root_mean_squared_error
0.443028
root_mean_squared_error
0.564955
root_mean_squared_error
0.514521
root_mean_squared_error
0.425983
root_mean_squared_error
0.477917
root_mean_squared_error
0.474259
root_mean_squared_error
0.545005
root_mean_squared_error
0.43747
root_mean_squared_error
0.51597
root_mean_squared_error
0.498329
root_mean_squared_error
0.39995
root_mean_squared_error
0.449334
root_mean_squared_error
0.455348
root_mean_squared_error
0.51766
root_mean_squared_error
0.443627
root_mean_squared_error
0.507925
root_mean_squared_error
0.411362
root_mean_squared_error
0.480775
root_mean_squared_error
0.41699
root_mean_squared_error
0.377022
root_mean_squared_error
0.49215
root_mean_squared_error
0.445597
root_mean_squared_error
0.469787
root_mean_squared_error
0.376388
root_mean_squared_error
0.474397
root_mean_squared_error
0.483488
root_mean_squared_error
0.38655
root_mean_squared_error
0.425855
root_mean_squared_error
0.474397
root_mean_squared_error
0.428171
root_mean_squared_error
0.498377
root_mean_squared_error
0.455707
root_mean_squared_error
0.425983
root_mean_squared_error
0.48738
root_mean_squared_error
0.412146
root_mean_squared_error
0.455707
root_mean_squared_error
0.452794
root_mean_squared_error
0.403612
root_mean_squared_error
0.484595
root_mean_squared_error
0.471849
root_mean_squared_error
0.459536
root_mean_squared_error
0.454443
root_mean_squared_error
0.38351
root_mean_squared_error
0.475862
root_mean_squared_error
0.335681
root_mean_squared_error
0.454443
root_mean_squared_error
0.404124
root_mean_squared_error
0.372452
root_mean_squared_error
0.426
root_mean_squared_error
0.425983
root_mean_squared_error
0.467691
root_mean_squared_error
0.388558
root_mean_squared_error
0.377168
root_mean_squared_error
0.458097
root_mean_squared_error
0.466554
root_mean_squared_error
0.414561
root_mean_squared_error
0.423533
root_mean_squared_error
0.443627
root_mean_squared_error
0.449589
root_mean_squared_error
0.39433
root_mean_squared_error
0.490149
root_mean_squared_error
0.497046
root_mean_squared_error
0.396484
root_mean_squared_error
0.488603
root_mean_squared_error
0.509845
root_mean_squared_error
0.443627
root_mean_squared_error
0.444174
root_mean_squared_error
0.412377
root_mean_squared_error
0.416207
root_mean_squared_error
0.483579
root_mean_squared_error
0.36506
root_mean_squared_error
0.348497
root_mean_squared_error
0.526196
root_mean_squared_error
0.404663
root_mean_squared_error
0.454443
root_mean_squared_error
0.388558
root_mean_squared_error
0.464775
root_mean_squared_error
0.45547
root_mean_squared_error
0.405305
root_mean_squared_error
0.465056
root_mean_squared_error
0.445765
root_mean_squared_error
0.405967
root_mean_squared_error
0.425607
root_mean_squared_error
0.418768
root_mean_squared_error
0.39472
root_mean_squared_error
0.396079
root_mean_squared_error
0.437961
root_relative_squared_error
1.119362
root_relative_squared_error
0.89754
root_relative_squared_error
0.952502
root_relative_squared_error
0.857505
root_relative_squared_error
1.01802
root_relative_squared_error
0.99702
root_relative_squared_error
0.879782
root_relative_squared_error
0.956683
root_relative_squared_error
0.973412
root_relative_squared_error
1.021656
root_relative_squared_error
1.022769
root_relative_squared_error
0.97246
root_relative_squared_error
1.010606
root_relative_squared_error
0.939444
root_relative_squared_error
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