476887
233
Nenad TomaĊĦev
1917
Supervised Classification
predictive_accuracy
690
HubMiner.KNN(1)
1997
learning.supervised.methods.knn.KNN -- k cmet
k
11
690
cmet
floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM
690
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
1681696
description
https://api.openml.org/data/download/1681696/hubminer_generated_run8756826660894997277.xml
-1
1681697
predictions
https://api.openml.org/data/download/1681697/classificationPredictions8909729093384290641.arff
area_under_roc_curve
0.783988 [0.783988,0.783988]
average_cost
0
f_measure
0.733804 [0.809219,0.593106]
kappa
0.40475
kb_relative_information_score
2081.245812
mean_absolute_error
0.332623
mean_prior_absolute_error
0.454491
number_of_instances
7680 [5000,2680]
precision
0.733019 [0.775334,0.654071]
predictive_accuracy
0.740234
prior_entropy
0.933487
recall
0.740234 [0.8462,0.542537]
relative_absolute_error
0.731858
root_mean_prior_squared_error
0.476641
root_mean_squared_error
0.41935
root_relative_squared_error
0.879803
total_cost
0
area_under_roc_curve
0.842963 [0.842963,0.842963]
area_under_roc_curve
0.810741 [0.810741,0.810741]
area_under_roc_curve
0.80037 [0.80037,0.80037]
area_under_roc_curve
0.794074 [0.794074,0.794074]
area_under_roc_curve
0.691111 [0.691111,0.691111]
area_under_roc_curve
0.798889 [0.798889,0.798889]
area_under_roc_curve
0.802963 [0.802963,0.802963]
area_under_roc_curve
0.796667 [0.796667,0.796667]
area_under_roc_curve
0.74037 [0.74037,0.74037]
area_under_roc_curve
0.825556 [0.825556,0.825556]
area_under_roc_curve
0.764444 [0.764444,0.764444]
area_under_roc_curve
0.83037 [0.83037,0.83037]
area_under_roc_curve
0.791481 [0.791481,0.791481]
area_under_roc_curve
0.74963 [0.74963,0.74963]
area_under_roc_curve
0.728519 [0.728519,0.728519]
area_under_roc_curve
0.792593 [0.792593,0.792593]
area_under_roc_curve
0.679259 [0.679259,0.679259]
area_under_roc_curve
0.811852 [0.811852,0.811852]
area_under_roc_curve
0.758519 [0.758519,0.758519]
area_under_roc_curve
0.814074 [0.814074,0.814074]
area_under_roc_curve
0.836667 [0.836667,0.836667]
area_under_roc_curve
0.698148 [0.698148,0.698148]
area_under_roc_curve
0.851481 [0.851481,0.851481]
area_under_roc_curve
0.700741 [0.700741,0.700741]
area_under_roc_curve
0.844074 [0.844074,0.844074]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.780741 [0.780741,0.780741]
area_under_roc_curve
0.811852 [0.811852,0.811852]
area_under_roc_curve
0.771852 [0.771852,0.771852]
area_under_roc_curve
0.791481 [0.791481,0.791481]
area_under_roc_curve
0.745926 [0.745926,0.745926]
area_under_roc_curve
0.767037 [0.767037,0.767037]
area_under_roc_curve
0.787778 [0.787778,0.787778]
area_under_roc_curve
0.79963 [0.79963,0.79963]
area_under_roc_curve
0.841481 [0.841481,0.841481]
area_under_roc_curve
0.774815 [0.774815,0.774815]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.821481 [0.821481,0.821481]
area_under_roc_curve
0.653704 [0.653704,0.653704]
area_under_roc_curve
0.713704 [0.713704,0.713704]
area_under_roc_curve
0.766296 [0.766296,0.766296]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.712963 [0.712963,0.712963]
area_under_roc_curve
0.71037 [0.71037,0.71037]
area_under_roc_curve
0.693333 [0.693333,0.693333]
area_under_roc_curve
0.794444 [0.794444,0.794444]
area_under_roc_curve
0.783704 [0.783704,0.783704]
area_under_roc_curve
0.854815 [0.854815,0.854815]
area_under_roc_curve
0.86963 [0.86963,0.86963]
area_under_roc_curve
0.711481 [0.711481,0.711481]
area_under_roc_curve
0.813333 [0.813333,0.813333]
area_under_roc_curve
0.811852 [0.811852,0.811852]
area_under_roc_curve
0.655926 [0.655926,0.655926]
area_under_roc_curve
0.818889 [0.818889,0.818889]
area_under_roc_curve
0.792222 [0.792222,0.792222]
area_under_roc_curve
0.662963 [0.662963,0.662963]
area_under_roc_curve
0.822222 [0.822222,0.822222]
area_under_roc_curve
0.688519 [0.688519,0.688519]
area_under_roc_curve
0.778148 [0.778148,0.778148]
area_under_roc_curve
0.858148 [0.858148,0.858148]
area_under_roc_curve
0.784444 [0.784444,0.784444]
area_under_roc_curve
0.834444 [0.834444,0.834444]
area_under_roc_curve
0.834074 [0.834074,0.834074]
area_under_roc_curve
0.82963 [0.82963,0.82963]
area_under_roc_curve
0.788519 [0.788519,0.788519]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.762963 [0.762963,0.762963]
area_under_roc_curve
0.858148 [0.858148,0.858148]
area_under_roc_curve
0.784815 [0.784815,0.784815]
area_under_roc_curve
0.808889 [0.808889,0.808889]
area_under_roc_curve
0.723333 [0.723333,0.723333]
area_under_roc_curve
0.811481 [0.811481,0.811481]
area_under_roc_curve
0.852593 [0.852593,0.852593]
area_under_roc_curve
0.727037 [0.727037,0.727037]
area_under_roc_curve
0.903704 [0.903704,0.903704]
area_under_roc_curve
0.777037 [0.777037,0.777037]
area_under_roc_curve
0.762963 [0.762963,0.762963]
area_under_roc_curve
0.838889 [0.838889,0.838889]
area_under_roc_curve
0.839259 [0.839259,0.839259]
area_under_roc_curve
0.769231 [0.769231,0.769231]
area_under_roc_curve
0.821923 [0.821923,0.821923]
area_under_roc_curve
0.760385 [0.760385,0.760385]
area_under_roc_curve
0.837692 [0.837692,0.837692]
area_under_roc_curve
0.868846 [0.868846,0.868846]
area_under_roc_curve
0.709615 [0.709615,0.709615]
area_under_roc_curve
0.810385 [0.810385,0.810385]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.747692 [0.747692,0.747692]
area_under_roc_curve
0.812692 [0.812692,0.812692]
area_under_roc_curve
0.776154 [0.776154,0.776154]
area_under_roc_curve
0.785 [0.785,0.785]
area_under_roc_curve
0.806538 [0.806538,0.806538]
area_under_roc_curve
0.849615 [0.849615,0.849615]
area_under_roc_curve
0.813077 [0.813077,0.813077]
area_under_roc_curve
0.843077 [0.843077,0.843077]
area_under_roc_curve
0.833462 [0.833462,0.833462]
area_under_roc_curve
0.744231 [0.744231,0.744231]
area_under_roc_curve
0.791538 [0.791538,0.791538]
area_under_roc_curve
0.792692 [0.792692,0.792692]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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
0.75214 [0.811881,0.641509]
f_measure
0.708352 [0.788462,0.56]
f_measure
0.76403 [0.823529,0.653846]
f_measure
0.74026 [0.8,0.62963]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.754244 [0.808081,0.654545]
f_measure
0.728375 [0.787879,0.618182]
f_measure
0.72605 [0.792079,0.603774]
f_measure
0.766258 [0.844037,0.622222]
f_measure
0.688826 [0.785047,0.510638]
f_measure
0.775943 [0.834951,0.666667]
f_measure
0.76403 [0.823529,0.653846]
f_measure
0.677893 [0.792793,0.465116]
f_measure
0.704515 [0.792453,0.541667]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.628811 [0.730769,0.44]
f_measure
0.749583 [0.815534,0.627451]
f_measure
0.717069 [0.821429,0.52381]
f_measure
0.742943 [0.82243,0.595745]
f_measure
0.749583 [0.815534,0.627451]
f_measure
0.677893 [0.792793,0.465116]
f_measure
0.818182 [0.86,0.740741]
f_measure
0.700023 [0.796296,0.521739]
f_measure
0.778231 [0.831683,0.679245]
f_measure
0.76403 [0.823529,0.653846]
f_measure
0.730232 [0.783505,0.631579]
f_measure
0.749583 [0.815534,0.627451]
f_measure
0.734865 [0.807692,0.6]
f_measure
0.714286 [0.78,0.592593]
f_measure
0.705903 [0.810811,0.511628]
f_measure
0.750295 [0.836364,0.590909]
f_measure
0.66649 [0.761905,0.489796]
f_measure
0.799894 [0.857143,0.693878]
f_measure
0.76403 [0.823529,0.653846]
f_measure
0.758239 [0.830189,0.625]
f_measure
0.688826 [0.785047,0.510638]
f_measure
0.714286 [0.78,0.592593]
f_measure
0.621688 [0.712871,0.45283]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.727294 [0.814815,0.565217]
f_measure
0.746532 [0.819048,0.612245]
f_measure
0.704515 [0.792453,0.541667]
f_measure
0.654981 [0.715789,0.542373]
f_measure
0.685373 [0.764706,0.538462]
f_measure
0.734865 [0.807692,0.6]
f_measure
0.708352 [0.788462,0.56]
f_measure
0.802302 [0.854369,0.705882]
f_measure
0.785102 [0.849057,0.666667]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.780113 [0.828283,0.690909]
f_measure
0.727294 [0.814815,0.565217]
f_measure
0.661767 [0.766355,0.468085]
f_measure
0.758239 [0.830189,0.625]
f_measure
0.758239 [0.830189,0.625]
f_measure
0.647779 [0.732673,0.490566]
f_measure
0.756919 [0.849558,0.585366]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.793757 [0.862385,0.666667]
f_measure
0.826575 [0.87619,0.734694]
f_measure
0.711259 [0.807339,0.533333]
f_measure
0.699723 [0.814159,0.487805]
f_measure
0.737811 [0.803922,0.615385]
f_measure
0.711592 [0.784314,0.576923]
f_measure
0.754244 [0.808081,0.654545]
f_measure
0.66649 [0.761905,0.489796]
f_measure
0.814406 [0.865385,0.72]
f_measure
0.681838 [0.769231,0.52]
f_measure
0.802302 [0.854369,0.705882]
f_measure
0.723223 [0.796117,0.588235]
f_measure
0.781835 [0.851852,0.652174]
f_measure
0.699959 [0.772277,0.566038]
f_measure
0.754564 [0.833333,0.608696]
f_measure
0.739679 [0.842105,0.55]
f_measure
0.719852 [0.8,0.571429]
f_measure
0.853256 [0.895238,0.77551]
f_measure
0.723223 [0.796117,0.588235]
f_measure
0.68376 [0.788991,0.488889]
f_measure
0.754564 [0.833333,0.608696]
f_measure
0.775943 [0.834951,0.666667]
f_measure
0.71925 [0.796117,0.571429]
f_measure
0.765127 [0.816327,0.666667]
f_measure
0.694932 [0.796296,0.5]
f_measure
0.754415 [0.830189,0.608696]
f_measure
0.792607 [0.833333,0.714286]
f_measure
0.680991 [0.764706,0.52]
f_measure
0.745988 [0.815534,0.612245]
f_measure
0.711466 [0.821429,0.5]
f_measure
0.669456 [0.752475,0.509804]
f_measure
0.763158 [0.82,0.653846]
f_measure
0.73903 [0.795918,0.62963]
f_measure
0.724895 [0.787879,0.603774]
f_measure
0.728851 [0.828829,0.536585]
f_measure
0.801674 [0.851485,0.705882]
f_measure
0.74032 [0.839286,0.55]
f_measure
0.734158 [0.825688,0.55814]
f_measure
0.796833 [0.857143,0.680851]
f_measure
0.68373 [0.785047,0.488889]
f_measure
0.757844 [0.826923,0.625]
f_measure
0.738733 [0.82243,0.577778]
kappa
0.453493
kappa
0.35046
kappa
0.477769
kappa
0.42963
kappa
0.278689
kappa
0.398907
kappa
0.462725
kappa
0.40617
kappa
0.395966
kappa
0.47493
kappa
0.302481
kappa
0.502471
kappa
0.477769
kappa
0.276257
kappa
0.338798
kappa
0.398907
kappa
0.173313
kappa
0.443938
kappa
0.364686
kappa
0.423789
kappa
0.443938
kappa
0.276257
kappa
0.600741
kappa
0.326709
kappa
0.51102
kappa
0.477769
kappa
0.416035
kappa
0.443938
kappa
0.409509
kappa
0.372593
kappa
0.339191
kappa
0.438866
kappa
0.255319
kappa
0.553191
kappa
0.477769
kappa
0.459016
kappa
0.302481
kappa
0.372593
kappa
0.165857
kappa
0.278689
kappa
0.387917
kappa
0.434043
kappa
0.338798
kappa
0.261456
kappa
0.303693
kappa
0.409509
kappa
0.35046
kappa
0.561003
kappa
0.519126
kappa
0.314894
kappa
0.51928
kappa
0.387917
kappa
0.241827
kappa
0.459016
kappa
0.459016
kappa
0.223384
kappa
0.45481
kappa
0.314894
kappa
0.536703
kappa
0.612766
kappa
0.351384
kappa
0.326531
kappa
0.419744
kappa
0.361718
kappa
0.462725
kappa
0.255319
kappa
0.586656
kappa
0.291411
kappa
0.561003
kappa
0.385405
kappa
0.510334
kappa
0.338439
kappa
0.449126
kappa
0.417157
kappa
0.374468
kappa
0.67234
kappa
0.385405
kappa
0.289611
kappa
0.449126
kappa
0.502471
kappa
0.368671
kappa
0.483384
kappa
0.305648
kappa
0.442997
kappa
0.548961
kappa
0.285266
kappa
0.428797
kappa
0.342561
kappa
0.262422
kappa
0.473846
kappa
0.425982
kappa
0.391768
kappa
0.381849
kappa
0.557453
kappa
0.408304
kappa
0.394295
kappa
0.540323
kappa
0.28125
kappa
0.453674
kappa
0.40625
kb_relative_information_score
26.590062
kb_relative_information_score
23.151939
kb_relative_information_score
21.807368
kb_relative_information_score
19.25695
kb_relative_information_score
12.767062
kb_relative_information_score
19.867454
kb_relative_information_score
19.920155
kb_relative_information_score
19.835515
kb_relative_information_score
15.293266
kb_relative_information_score
24.930204
kb_relative_information_score
19.567148
kb_relative_information_score
25.636135
kb_relative_information_score
20.872915
kb_relative_information_score
16.820882
kb_relative_information_score
18.882987
kb_relative_information_score
22.785198
kb_relative_information_score
10.659131
kb_relative_information_score
22.170943
kb_relative_information_score
22.206461
kb_relative_information_score
25.797335
kb_relative_information_score
23.309009
kb_relative_information_score
13.616823
kb_relative_information_score
25.491149
kb_relative_information_score
16.686846
kb_relative_information_score
25.900215
kb_relative_information_score
24.340651
kb_relative_information_score
15.748634
kb_relative_information_score
21.849478
kb_relative_information_score
18.793529
kb_relative_information_score
20.229928
kb_relative_information_score
18.077864
kb_relative_information_score
20.814837
kb_relative_information_score
20.192899
kb_relative_information_score
22.427954
kb_relative_information_score
26.651274
kb_relative_information_score
22.913661
kb_relative_information_score
19.866435
kb_relative_information_score
23.673786
kb_relative_information_score
9.034254
kb_relative_information_score
12.597911
kb_relative_information_score
17.980648
kb_relative_information_score
21.41269
kb_relative_information_score
17.397363
kb_relative_information_score
11.0954
kb_relative_information_score
11.108039
kb_relative_information_score
20.226906
kb_relative_information_score
20.535925
kb_relative_information_score
25.586611
kb_relative_information_score
31.295275
kb_relative_information_score
14.561836
kb_relative_information_score
20.031525
kb_relative_information_score
24.840595
kb_relative_information_score
11.602303
kb_relative_information_score
23.299833
kb_relative_information_score
21.447813
kb_relative_information_score
10.083836
kb_relative_information_score
25.563893
kb_relative_information_score
14.158655
kb_relative_information_score
24.23682
kb_relative_information_score
25.858435
kb_relative_information_score
22.349581
kb_relative_information_score
25.938616
kb_relative_information_score
24.855702
kb_relative_information_score
22.297035
kb_relative_information_score
20.858166
kb_relative_information_score
13.959175
kb_relative_information_score
30.257117
kb_relative_information_score
19.406232
kb_relative_information_score
26.687634
kb_relative_information_score
19.240314
kb_relative_information_score
22.505046
kb_relative_information_score
14.330137
kb_relative_information_score
22.685129
kb_relative_information_score
27.905461
kb_relative_information_score
16.989953
kb_relative_information_score
35.552069
kb_relative_information_score
21.835564
kb_relative_information_score
19.616755
kb_relative_information_score
26.278778
kb_relative_information_score
25.592328
kb_relative_information_score
20.787826
kb_relative_information_score
19.770484
kb_relative_information_score
18.25445
kb_relative_information_score
24.221649
kb_relative_information_score
24.343893
kb_relative_information_score
13.054371
kb_relative_information_score
22.92695
kb_relative_information_score
19.70674
kb_relative_information_score
13.849084
kb_relative_information_score
22.225911
kb_relative_information_score
20.312598
kb_relative_information_score
19.194186
kb_relative_information_score
22.121494
kb_relative_information_score
25.897317
kb_relative_information_score
24.844256
kb_relative_information_score
24.458499
kb_relative_information_score
23.316979
kb_relative_information_score
17.847441
kb_relative_information_score
20.112997
kb_relative_information_score
21.497248
mean_absolute_error
0.302243
mean_absolute_error
0.317591
mean_absolute_error
0.328217
mean_absolute_error
0.338843
mean_absolute_error
0.371901
mean_absolute_error
0.342385
mean_absolute_error
0.335301
mean_absolute_error
0.337662
mean_absolute_error
0.360094
mean_absolute_error
0.309327
mean_absolute_error
0.335301
mean_absolute_error
0.309327
mean_absolute_error
0.33294
mean_absolute_error
0.344746
mean_absolute_error
0.343566
mean_absolute_error
0.319953
mean_absolute_error
0.381346
mean_absolute_error
0.325856
mean_absolute_error
0.323495
mean_absolute_error
0.306966
mean_absolute_error
0.322314
mean_absolute_error
0.36954
mean_absolute_error
0.310508
mean_absolute_error
0.353011
mean_absolute_error
0.310508
mean_absolute_error
0.316411
mean_absolute_error
0.368359
mean_absolute_error
0.331759
mean_absolute_error
0.343566
mean_absolute_error
0.335301
mean_absolute_error
0.347107
mean_absolute_error
0.336482
mean_absolute_error
0.335301
mean_absolute_error
0.329398
mean_absolute_error
0.304604
mean_absolute_error
0.322314
mean_absolute_error
0.338843
mean_absolute_error
0.31405
mean_absolute_error
0.394333
mean_absolute_error
0.376623
mean_absolute_error
0.353011
mean_absolute_error
0.330579
mean_absolute_error
0.349469
mean_absolute_error
0.381346
mean_absolute_error
0.386068
mean_absolute_error
0.336482
mean_absolute_error
0.335301
mean_absolute_error
0.316411
mean_absolute_error
0.273908
mean_absolute_error
0.367178
mean_absolute_error
0.338843
mean_absolute_error
0.31523
mean_absolute_error
0.382527
mean_absolute_error
0.323495
mean_absolute_error
0.330579
mean_absolute_error
0.387249
mean_absolute_error
0.305785
mean_absolute_error
0.36954
mean_absolute_error
0.31523
mean_absolute_error
0.309327
mean_absolute_error
0.321133
mean_absolute_error
0.304604
mean_absolute_error
0.31523
mean_absolute_error
0.327037
mean_absolute_error
0.33294
mean_absolute_error
0.367178
mean_absolute_error
0.289256
mean_absolute_error
0.335301
mean_absolute_error
0.306966
mean_absolute_error
0.344746
mean_absolute_error
0.33294
mean_absolute_error
0.368359
mean_absolute_error
0.328217
mean_absolute_error
0.29634
mean_absolute_error
0.356553
mean_absolute_error
0.257379
mean_absolute_error
0.328217
mean_absolute_error
0.335301
mean_absolute_error
0.303424
mean_absolute_error
0.305785
mean_absolute_error
0.324163
mean_absolute_error
0.339713
mean_absolute_error
0.342105
mean_absolute_error
0.312201
mean_absolute_error
0.312201
mean_absolute_error
0.367225
mean_absolute_error
0.319378
mean_absolute_error
0.337321
mean_absolute_error
0.363636
mean_absolute_error
0.319378
mean_absolute_error
0.33134
mean_absolute_error
0.332536
mean_absolute_error
0.320574
mean_absolute_error
0.305024
mean_absolute_error
0.30622
mean_absolute_error
0.311005
mean_absolute_error
0.318182
mean_absolute_error
0.343301
mean_absolute_error
0.333732
mean_absolute_error
0.330144
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
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number_of_instances
77 [50,27]
number_of_instances
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number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
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77 [50,27]
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number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
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77 [50,27]
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77 [50,27]
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77 [50,27]
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77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
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76 [50,26]
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76 [50,26]
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76 [50,26]
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number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.751298 [0.803922,0.653846]
precision
0.706464 [0.759259,0.608696]
precision
0.762917 [0.807692,0.68]
precision
0.74026 [0.8,0.62963]
precision
0.675788 [0.732143,0.571429]
precision
0.732375 [0.767857,0.666667]
precision
0.7555 [0.816327,0.642857]
precision
0.729724 [0.795918,0.607143]
precision
0.725079 [0.784314,0.615385]
precision
0.779001 [0.779661,0.777778]
precision
0.688859 [0.736842,0.6]
precision
0.775208 [0.811321,0.708333]
precision
0.762917 [0.807692,0.68]
precision
0.68754 [0.721311,0.625]
precision
0.704082 [0.75,0.619048]
precision
0.732375 [0.767857,0.666667]
precision
0.624652 [0.703704,0.478261]
precision
0.748346 [0.792453,0.666667]
precision
0.738919 [0.741935,0.733333]
precision
0.746708 [0.77193,0.7]
precision
0.748346 [0.792453,0.666667]
precision
0.68754 [0.721311,0.625]
precision
0.818182 [0.86,0.740741]
precision
0.702878 [0.741379,0.631579]
precision
0.777517 [0.823529,0.692308]
precision
0.762917 [0.807692,0.68]
precision
0.735397 [0.808511,0.6]
precision
0.748346 [0.792453,0.666667]
precision
0.733735 [0.777778,0.652174]
precision
0.714286 [0.78,0.592593]
precision
0.720101 [0.737705,0.6875]
precision
0.765979 [0.766667,0.764706]
precision
0.663518 [0.727273,0.545455]
precision
0.802243 [0.818182,0.772727]
precision
0.762917 [0.807692,0.68]
precision
0.760668 [0.785714,0.714286]
precision
0.688859 [0.736842,0.6]
precision
0.714286 [0.78,0.592593]
precision
0.620203 [0.705882,0.461538]
precision
0.675788 [0.732143,0.571429]
precision
0.732529 [0.758621,0.684211]
precision
0.746753 [0.781818,0.681818]
precision
0.704082 [0.75,0.619048]
precision
0.665945 [0.755556,0.5]
precision
0.683377 [0.75,0.56]
precision
0.733735 [0.777778,0.652174]
precision
0.706464 [0.759259,0.608696]
precision
0.802071 [0.830189,0.75]
precision
0.788961 [0.803571,0.761905]
precision
0.691263 [0.745455,0.590909]
precision
0.781275 [0.836735,0.678571]
precision
0.732529 [0.758621,0.684211]
precision
0.659934 [0.719298,0.55]
precision
0.760668 [0.785714,0.714286]
precision
0.760668 [0.785714,0.714286]
precision
0.646422 [0.72549,0.5]
precision
0.7953 [0.761905,0.857143]
precision
0.691263 [0.745455,0.590909]
precision
0.809487 [0.79661,0.833333]
precision
0.829988 [0.836364,0.818182]
precision
0.718028 [0.745763,0.666667]
precision
0.724593 [0.730159,0.714286]
precision
0.736404 [0.788462,0.64]
precision
0.70989 [0.769231,0.6]
precision
0.7555 [0.816327,0.642857]
precision
0.663518 [0.727273,0.545455]
precision
0.815547 [0.833333,0.782609]
precision
0.679194 [0.740741,0.565217]
precision
0.802071 [0.830189,0.75]
precision
0.721484 [0.773585,0.625]
precision
0.791831 [0.793103,0.789474]
precision
0.69886 [0.764706,0.576923]
precision
0.76218 [0.775862,0.736842]
precision
0.783716 [0.75,0.846154]
precision
0.719008 [0.763636,0.636364]
precision
0.857733 [0.854545,0.863636]
precision
0.721484 [0.773585,0.625]
precision
0.687541 [0.728814,0.611111]
precision
0.76218 [0.775862,0.736842]
precision
0.775208 [0.811321,0.708333]
precision
0.717175 [0.773585,0.608696]
precision
0.76817 [0.833333,0.642857]
precision
0.696814 [0.741379,0.611111]
precision
0.756391 [0.785714,0.7]
precision
0.800153 [0.869565,0.666667]
precision
0.678728 [0.75,0.541667]
precision
0.744463 [0.792453,0.652174]
precision
0.732476 [0.741935,0.714286]
precision
0.668091 [0.745098,0.52]
precision
0.763158 [0.82,0.653846]
precision
0.742246 [0.8125,0.607143]
precision
0.72636 [0.795918,0.592593]
precision
0.746995 [0.754098,0.733333]
precision
0.801011 [0.843137,0.72]
precision
0.767524 [0.758065,0.785714]
precision
0.74327 [0.762712,0.705882]
precision
0.798929 [0.818182,0.761905]
precision
0.682825 [0.736842,0.578947]
precision
0.757133 [0.796296,0.681818]
precision
0.741921 [0.77193,0.684211]
predictive_accuracy
0.753247
predictive_accuracy
0.714286
predictive_accuracy
0.766234
predictive_accuracy
0.74026
predictive_accuracy
0.688312
predictive_accuracy
0.74026
predictive_accuracy
0.753247
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.779221
predictive_accuracy
0.701299
predictive_accuracy
0.779221
predictive_accuracy
0.766234
predictive_accuracy
0.701299
predictive_accuracy
0.714286
predictive_accuracy
0.74026
predictive_accuracy
0.636364
predictive_accuracy
0.753247
predictive_accuracy
0.74026
predictive_accuracy
0.753247
predictive_accuracy
0.753247
predictive_accuracy
0.701299
predictive_accuracy
0.818182
predictive_accuracy
0.714286
predictive_accuracy
0.779221
predictive_accuracy
0.766234
predictive_accuracy
0.727273
predictive_accuracy
0.753247
predictive_accuracy
0.74026
predictive_accuracy
0.714286
predictive_accuracy
0.727273
predictive_accuracy
0.766234
predictive_accuracy
0.675325
predictive_accuracy
0.805195
predictive_accuracy
0.766234
predictive_accuracy
0.766234
predictive_accuracy
0.701299
predictive_accuracy
0.714286
predictive_accuracy
0.623377
predictive_accuracy
0.688312
predictive_accuracy
0.74026
predictive_accuracy
0.753247
predictive_accuracy
0.714286
predictive_accuracy
0.649351
predictive_accuracy
0.688312
predictive_accuracy
0.74026
predictive_accuracy
0.714286
predictive_accuracy
0.805195
predictive_accuracy
0.792208
predictive_accuracy
0.701299
predictive_accuracy
0.779221
predictive_accuracy
0.74026
predictive_accuracy
0.675325
predictive_accuracy
0.766234
predictive_accuracy
0.766234
predictive_accuracy
0.649351
predictive_accuracy
0.779221
predictive_accuracy
0.701299
predictive_accuracy
0.805195
predictive_accuracy
0.831169
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.74026
predictive_accuracy
0.714286
predictive_accuracy
0.753247
predictive_accuracy
0.675325
predictive_accuracy
0.818182
predictive_accuracy
0.688312
predictive_accuracy
0.805195
predictive_accuracy
0.727273
predictive_accuracy
0.792208
predictive_accuracy
0.701299
predictive_accuracy
0.766234
predictive_accuracy
0.766234
predictive_accuracy
0.727273
predictive_accuracy
0.857143
predictive_accuracy
0.727273
predictive_accuracy
0.701299
predictive_accuracy
0.766234
predictive_accuracy
0.779221
predictive_accuracy
0.723684
predictive_accuracy
0.763158
predictive_accuracy
0.710526
predictive_accuracy
0.763158
predictive_accuracy
0.789474
predictive_accuracy
0.684211
predictive_accuracy
0.75
predictive_accuracy
0.736842
predictive_accuracy
0.671053
predictive_accuracy
0.763158
predictive_accuracy
0.736842
predictive_accuracy
0.723684
predictive_accuracy
0.75
predictive_accuracy
0.802632
predictive_accuracy
0.763158
predictive_accuracy
0.75
predictive_accuracy
0.802632
predictive_accuracy
0.697368
predictive_accuracy
0.763158
predictive_accuracy
0.75
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
recall
0.753247 [0.82,0.62963]
recall
0.714286 [0.82,0.518519]
recall
0.766234 [0.84,0.62963]
recall
0.74026 [0.8,0.62963]
recall
0.688312 [0.82,0.444444]
recall
0.74026 [0.86,0.518519]
recall
0.753247 [0.8,0.666667]
recall
0.727273 [0.78,0.62963]
recall
0.727273 [0.8,0.592593]
recall
0.779221 [0.92,0.518519]
recall
0.701299 [0.84,0.444444]
recall
0.779221 [0.86,0.62963]
recall
0.766234 [0.84,0.62963]
recall
0.701299 [0.88,0.37037]
recall
0.714286 [0.84,0.481481]
recall
0.74026 [0.86,0.518519]
recall
0.636364 [0.76,0.407407]
recall
0.753247 [0.84,0.592593]
recall
0.74026 [0.92,0.407407]
recall
0.753247 [0.88,0.518519]
recall
0.753247 [0.84,0.592593]
recall
0.701299 [0.88,0.37037]
recall
0.818182 [0.86,0.740741]
recall
0.714286 [0.86,0.444444]
recall
0.779221 [0.84,0.666667]
recall
0.766234 [0.84,0.62963]
recall
0.727273 [0.76,0.666667]
recall
0.753247 [0.84,0.592593]
recall
0.74026 [0.84,0.555556]
recall
0.714286 [0.78,0.592593]
recall
0.727273 [0.9,0.407407]
recall
0.766234 [0.92,0.481481]
recall
0.675325 [0.8,0.444444]
recall
0.805195 [0.9,0.62963]
recall
0.766234 [0.84,0.62963]
recall
0.766234 [0.88,0.555556]
recall
0.701299 [0.84,0.444444]
recall
0.714286 [0.78,0.592593]
recall
0.623377 [0.72,0.444444]
recall
0.688312 [0.82,0.444444]
recall
0.74026 [0.88,0.481481]
recall
0.753247 [0.86,0.555556]
recall
0.714286 [0.84,0.481481]
recall
0.649351 [0.68,0.592593]
recall
0.688312 [0.78,0.518519]
recall
0.74026 [0.84,0.555556]
recall
0.714286 [0.82,0.518519]
recall
0.805195 [0.88,0.666667]
recall
0.792208 [0.9,0.592593]
recall
0.701299 [0.82,0.481481]
recall
0.779221 [0.82,0.703704]
recall
0.74026 [0.88,0.481481]
recall
0.675325 [0.82,0.407407]
recall
0.766234 [0.88,0.555556]
recall
0.766234 [0.88,0.555556]
recall
0.649351 [0.74,0.481481]
recall
0.779221 [0.96,0.444444]
recall
0.701299 [0.82,0.481481]
recall
0.805195 [0.94,0.555556]
recall
0.831169 [0.92,0.666667]
recall
0.727273 [0.88,0.444444]
recall
0.727273 [0.92,0.37037]
recall
0.74026 [0.82,0.592593]
recall
0.714286 [0.8,0.555556]
recall
0.753247 [0.8,0.666667]
recall
0.675325 [0.8,0.444444]
recall
0.818182 [0.9,0.666667]
recall
0.688312 [0.8,0.481481]
recall
0.805195 [0.88,0.666667]
recall
0.727273 [0.82,0.555556]
recall
0.792208 [0.92,0.555556]
recall
0.701299 [0.78,0.555556]
recall
0.766234 [0.9,0.518519]
recall
0.766234 [0.96,0.407407]
recall
0.727273 [0.84,0.518519]
recall
0.857143 [0.94,0.703704]
recall
0.727273 [0.82,0.555556]
recall
0.701299 [0.86,0.407407]
recall
0.766234 [0.9,0.518519]
recall
0.779221 [0.86,0.62963]
recall
0.723684 [0.82,0.538462]
recall
0.763158 [0.8,0.692308]
recall
0.710526 [0.86,0.423077]
recall
0.763158 [0.88,0.538462]
recall
0.789474 [0.8,0.769231]
recall
0.684211 [0.78,0.5]
recall
0.75 [0.84,0.576923]
recall
0.736842 [0.92,0.384615]
recall
0.671053 [0.76,0.5]
recall
0.763158 [0.82,0.653846]
recall
0.736842 [0.78,0.653846]
recall
0.723684 [0.78,0.615385]
recall
0.75 [0.92,0.423077]
recall
0.802632 [0.86,0.692308]
recall
0.763158 [0.94,0.423077]
recall
0.75 [0.9,0.461538]
recall
0.802632 [0.9,0.615385]
recall
0.697368 [0.84,0.423077]
recall
0.763158 [0.86,0.576923]
recall
0.75 [0.88,0.5]
relative_absolute_error
0.66427
relative_absolute_error
0.698002
relative_absolute_error
0.721355
relative_absolute_error
0.744708
relative_absolute_error
0.817363
relative_absolute_error
0.752493
relative_absolute_error
0.736924
relative_absolute_error
0.742114
relative_absolute_error
0.791415
relative_absolute_error
0.679838
relative_absolute_error
0.736924
relative_absolute_error
0.679838
relative_absolute_error
0.731734
relative_absolute_error
0.757682
relative_absolute_error
0.755088
relative_absolute_error
0.703192
relative_absolute_error
0.838121
relative_absolute_error
0.716166
relative_absolute_error
0.710976
relative_absolute_error
0.674649
relative_absolute_error
0.708381
relative_absolute_error
0.812173
relative_absolute_error
0.682433
relative_absolute_error
0.775846
relative_absolute_error
0.682433
relative_absolute_error
0.695407
relative_absolute_error
0.809579
relative_absolute_error
0.72914
relative_absolute_error
0.755088
relative_absolute_error
0.736924
relative_absolute_error
0.762872
relative_absolute_error
0.739519
relative_absolute_error
0.736924
relative_absolute_error
0.72395
relative_absolute_error
0.669459
relative_absolute_error
0.708381
relative_absolute_error
0.744708
relative_absolute_error
0.690218
relative_absolute_error
0.866664
relative_absolute_error
0.827742
relative_absolute_error
0.775846
relative_absolute_error
0.726545
relative_absolute_error
0.768062
relative_absolute_error
0.838121
relative_absolute_error
0.848501
relative_absolute_error
0.739519
relative_absolute_error
0.736924
relative_absolute_error
0.695407
relative_absolute_error
0.601994
relative_absolute_error
0.806984
relative_absolute_error
0.744708
relative_absolute_error
0.692812
relative_absolute_error
0.840716
relative_absolute_error
0.710976
relative_absolute_error
0.726545
relative_absolute_error
0.851095
relative_absolute_error
0.672054
relative_absolute_error
0.812173
relative_absolute_error
0.692812
relative_absolute_error
0.679838
relative_absolute_error
0.705786
relative_absolute_error
0.669459
relative_absolute_error
0.692812
relative_absolute_error
0.71876
relative_absolute_error
0.731734
relative_absolute_error
0.806984
relative_absolute_error
0.635727
relative_absolute_error
0.736924
relative_absolute_error
0.674649
relative_absolute_error
0.757682
relative_absolute_error
0.731734
relative_absolute_error
0.809579
relative_absolute_error
0.721355
relative_absolute_error
0.651296
relative_absolute_error
0.783631
relative_absolute_error
0.565667
relative_absolute_error
0.721355
relative_absolute_error
0.736924
relative_absolute_error
0.666864
relative_absolute_error
0.672054
relative_absolute_error
0.716498
relative_absolute_error
0.750869
relative_absolute_error
0.756157
relative_absolute_error
0.690059
relative_absolute_error
0.690059
relative_absolute_error
0.811678
relative_absolute_error
0.705922
relative_absolute_error
0.745581
relative_absolute_error
0.803747
relative_absolute_error
0.705922
relative_absolute_error
0.732361
relative_absolute_error
0.735005
relative_absolute_error
0.708566
relative_absolute_error
0.674195
relative_absolute_error
0.676839
relative_absolute_error
0.687415
relative_absolute_error
0.703278
relative_absolute_error
0.7588
relative_absolute_error
0.737649
relative_absolute_error
0.729717
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_squared_error
0.395314
root_mean_squared_error
0.407217
root_mean_squared_error
0.41492
root_mean_squared_error
0.422482
root_mean_squared_error
0.467352
root_mean_squared_error
0.415437
root_mean_squared_error
0.418012
root_mean_squared_error
0.422355
root_mean_squared_error
0.442582
root_mean_squared_error
0.406558
root_mean_squared_error
0.431904
root_mean_squared_error
0.392863
root_mean_squared_error
0.418012
root_mean_squared_error
0.448244
root_mean_squared_error
0.441854
root_mean_squared_error
0.414013
root_mean_squared_error
0.473965
root_mean_squared_error
0.404706
root_mean_squared_error
0.434382
root_mean_squared_error
0.409452
root_mean_squared_error
0.398694
root_mean_squared_error
0.453363
root_mean_squared_error
0.388606
root_mean_squared_error
0.459711
root_mean_squared_error
0.387776
root_mean_squared_error
0.388191
root_mean_squared_error
0.426401
root_mean_squared_error
0.401911
root_mean_squared_error
0.42552
root_mean_squared_error
0.416211
root_mean_squared_error
0.440515
root_mean_squared_error
0.415308
root_mean_squared_error
0.415178
root_mean_squared_error
0.411152
root_mean_squared_error
0.390672
root_mean_squared_error
0.422482
root_mean_squared_error
0.436477
root_mean_squared_error
0.403111
root_mean_squared_error
0.479257
root_mean_squared_error
0.461807
root_mean_squared_error
0.422736
root_mean_squared_error
0.42413
root_mean_squared_error
0.450633
root_mean_squared_error
0.459244
root_mean_squared_error
0.46505
root_mean_squared_error
0.421719
root_mean_squared_error
0.418526
root_mean_squared_error
0.385416
root_mean_squared_error
0.372098
root_mean_squared_error
0.45737
root_mean_squared_error
0.409583
root_mean_squared_error
0.402178
root_mean_squared_error
0.4693
root_mean_squared_error
0.408139
root_mean_squared_error
0.415953
root_mean_squared_error
0.476112
root_mean_squared_error
0.399501
root_mean_squared_error
0.466433
root_mean_squared_error
0.405633
root_mean_squared_error
0.378106
root_mean_squared_error
0.429911
root_mean_squared_error
0.398559
root_mean_squared_error
0.396534
root_mean_squared_error
0.404308
root_mean_squared_error
0.420572
root_mean_squared_error
0.447166
root_mean_squared_error
0.371087
root_mean_squared_error
0.440759
root_mean_squared_error
0.381779
root_mean_squared_error
0.421592
root_mean_squared_error
0.404175
root_mean_squared_error
0.452771
root_mean_squared_error
0.4055
root_mean_squared_error
0.383602
root_mean_squared_error
0.44246
root_mean_squared_error
0.34454
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