344142
2
Joaquin Vanschoren
1911
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
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
1183127
description
https://api.openml.org/data/download/1183127/weka_generated_run8215586506271029330.xml
-1
1183130
model_readable
https://api.openml.org/data/download/1183130/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7073553673574090636.model
-1
1183129
model_serialized
https://api.openml.org/data/download/1183129/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3280788893377955237.model
-1
1183128
predictions
https://api.openml.org/data/download/1183128/weka_generated_predictions4647625360176293547.arff
area_under_roc_curve
0.785596 [0.785596,0.785596]
average_cost
0
f_measure
0.743784 [0.833209,0.535126]
kappa
0.372508
kb_relative_information_score
2563.934135
mean_absolute_error
0.305643
mean_prior_absolute_error
0.42016
number_of_instances
10000 [7000,3000]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.741922 [0.794403,0.619465]
predictive_accuracy
0.7545
prior_entropy
0.881778
recall
0.7545 [0.876,0.471]
relative_absolute_error
0.727445
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.412908
root_relative_squared_error
0.901039
scimark_benchmark
1350.772059 [812.0300923888153, 997.1306614464737, 536.0668061671846, 1111.7217792496772, 3296.910956867085]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.814762 [0.814762,0.814762]
area_under_roc_curve
0.756667 [0.756667,0.756667]
area_under_roc_curve
0.705238 [0.705238,0.705238]
area_under_roc_curve
0.795238 [0.795238,0.795238]
area_under_roc_curve
0.855238 [0.855238,0.855238]
area_under_roc_curve
0.799524 [0.799524,0.799524]
area_under_roc_curve
0.797619 [0.797619,0.797619]
area_under_roc_curve
0.860952 [0.860952,0.860952]
area_under_roc_curve
0.67381 [0.67381,0.67381]
area_under_roc_curve
0.735714 [0.735714,0.735714]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.812857 [0.812857,0.812857]
area_under_roc_curve
0.802381 [0.802381,0.802381]
area_under_roc_curve
0.750952 [0.750952,0.750952]
area_under_roc_curve
0.781905 [0.781905,0.781905]
area_under_roc_curve
0.773333 [0.773333,0.773333]
area_under_roc_curve
0.80381 [0.80381,0.80381]
area_under_roc_curve
0.817143 [0.817143,0.817143]
area_under_roc_curve
0.826667 [0.826667,0.826667]
area_under_roc_curve
0.760476 [0.760476,0.760476]
area_under_roc_curve
0.711905 [0.711905,0.711905]
area_under_roc_curve
0.748571 [0.748571,0.748571]
area_under_roc_curve
0.78381 [0.78381,0.78381]
area_under_roc_curve
0.779048 [0.779048,0.779048]
area_under_roc_curve
0.690476 [0.690476,0.690476]
area_under_roc_curve
0.790476 [0.790476,0.790476]
area_under_roc_curve
0.718571 [0.718571,0.718571]
area_under_roc_curve
0.73619 [0.73619,0.73619]
area_under_roc_curve
0.77 [0.77,0.77]
area_under_roc_curve
0.815238 [0.815238,0.815238]
area_under_roc_curve
0.779524 [0.779524,0.779524]
area_under_roc_curve
0.76381 [0.76381,0.76381]
area_under_roc_curve
0.793333 [0.793333,0.793333]
area_under_roc_curve
0.777619 [0.777619,0.777619]
area_under_roc_curve
0.787143 [0.787143,0.787143]
area_under_roc_curve
0.779524 [0.779524,0.779524]
area_under_roc_curve
0.802857 [0.802857,0.802857]
area_under_roc_curve
0.818095 [0.818095,0.818095]
area_under_roc_curve
0.79619 [0.79619,0.79619]
area_under_roc_curve
0.779048 [0.779048,0.779048]
area_under_roc_curve
0.752381 [0.752381,0.752381]
area_under_roc_curve
0.775238 [0.775238,0.775238]
area_under_roc_curve
0.764762 [0.764762,0.764762]
area_under_roc_curve
0.720238 [0.720238,0.720238]
area_under_roc_curve
0.827619 [0.827619,0.827619]
area_under_roc_curve
0.778571 [0.778571,0.778571]
area_under_roc_curve
0.814286 [0.814286,0.814286]
area_under_roc_curve
0.827619 [0.827619,0.827619]
area_under_roc_curve
0.749048 [0.749048,0.749048]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.804762 [0.804762,0.804762]
area_under_roc_curve
0.762381 [0.762381,0.762381]
area_under_roc_curve
0.815238 [0.815238,0.815238]
area_under_roc_curve
0.802619 [0.802619,0.802619]
area_under_roc_curve
0.78619 [0.78619,0.78619]
area_under_roc_curve
0.810952 [0.810952,0.810952]
area_under_roc_curve
0.809048 [0.809048,0.809048]
area_under_roc_curve
0.722857 [0.722857,0.722857]
area_under_roc_curve
0.804286 [0.804286,0.804286]
area_under_roc_curve
0.832381 [0.832381,0.832381]
area_under_roc_curve
0.823333 [0.823333,0.823333]
area_under_roc_curve
0.739524 [0.739524,0.739524]
area_under_roc_curve
0.818095 [0.818095,0.818095]
area_under_roc_curve
0.826667 [0.826667,0.826667]
area_under_roc_curve
0.86619 [0.86619,0.86619]
area_under_roc_curve
0.753333 [0.753333,0.753333]
area_under_roc_curve
0.795714 [0.795714,0.795714]
area_under_roc_curve
0.770476 [0.770476,0.770476]
area_under_roc_curve
0.817619 [0.817619,0.817619]
area_under_roc_curve
0.797143 [0.797143,0.797143]
area_under_roc_curve
0.850952 [0.850952,0.850952]
area_under_roc_curve
0.757143 [0.757143,0.757143]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.82619 [0.82619,0.82619]
area_under_roc_curve
0.867619 [0.867619,0.867619]
area_under_roc_curve
0.801905 [0.801905,0.801905]
area_under_roc_curve
0.720952 [0.720952,0.720952]
area_under_roc_curve
0.79619 [0.79619,0.79619]
area_under_roc_curve
0.781429 [0.781429,0.781429]
area_under_roc_curve
0.807143 [0.807143,0.807143]
area_under_roc_curve
0.825714 [0.825714,0.825714]
area_under_roc_curve
0.82619 [0.82619,0.82619]
area_under_roc_curve
0.753333 [0.753333,0.753333]
area_under_roc_curve
0.769048 [0.769048,0.769048]
area_under_roc_curve
0.805714 [0.805714,0.805714]
area_under_roc_curve
0.752857 [0.752857,0.752857]
area_under_roc_curve
0.884286 [0.884286,0.884286]
area_under_roc_curve
0.774762 [0.774762,0.774762]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.792381 [0.792381,0.792381]
area_under_roc_curve
0.801429 [0.801429,0.801429]
area_under_roc_curve
0.799524 [0.799524,0.799524]
area_under_roc_curve
0.810476 [0.810476,0.810476]
area_under_roc_curve
0.804762 [0.804762,0.804762]
area_under_roc_curve
0.713333 [0.713333,0.713333]
area_under_roc_curve
0.739048 [0.739048,0.739048]
area_under_roc_curve
0.789048 [0.789048,0.789048]
area_under_roc_curve
0.82619 [0.82619,0.82619]
area_under_roc_curve
0.790476 [0.790476,0.790476]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.784075 [0.855172,0.618182]
f_measure
0.688012 [0.807947,0.408163]
f_measure
0.701818 [0.8,0.472727]
f_measure
0.742947 [0.827586,0.545455]
f_measure
0.82731 [0.881119,0.701754]
f_measure
0.768866 [0.836879,0.610169]
f_measure
0.792998 [0.863014,0.62963]
f_measure
0.801977 [0.870748,0.641509]
f_measure
0.668798 [0.780822,0.407407]
f_measure
0.752561 [0.847682,0.530612]
f_measure
0.674342 [0.802632,0.375]
f_measure
0.760288 [0.843537,0.566038]
f_measure
0.800791 [0.883117,0.608696]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.777756 [0.84507,0.62069]
f_measure
0.736987 [0.853503,0.465116]
f_measure
0.751598 [0.835616,0.555556]
f_measure
0.734387 [0.844156,0.478261]
f_measure
0.769023 [0.851351,0.576923]
f_measure
0.76 [0.828571,0.6]
f_measure
0.710198 [0.808219,0.481481]
f_measure
0.739443 [0.829932,0.528302]
f_measure
0.689498 [0.794521,0.444444]
f_measure
0.739474 [0.842105,0.5]
f_measure
0.731045 [0.834437,0.489796]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.666495 [0.794702,0.367347]
f_measure
0.69317 [0.805369,0.431373]
f_measure
0.698065 [0.825806,0.4]
f_measure
0.765333 [0.853333,0.56]
f_measure
0.733472 [0.80292,0.571429]
f_measure
0.760288 [0.843537,0.566038]
f_measure
0.731045 [0.834437,0.489796]
f_measure
0.714331 [0.818792,0.470588]
f_measure
0.722667 [0.826667,0.48]
f_measure
0.754762 [0.833333,0.571429]
f_measure
0.746043 [0.825175,0.561404]
f_measure
0.756652 [0.845638,0.54902]
f_measure
0.786667 [0.866667,0.6]
f_measure
0.751598 [0.835616,0.555556]
f_measure
0.713889 [0.805556,0.5]
f_measure
0.701333 [0.813333,0.44]
f_measure
0.710198 [0.808219,0.481481]
f_measure
0.725727 [0.811189,0.526316]
f_measure
0.748768 [0.822695,0.576271]
f_measure
0.734325 [0.819444,0.535714]
f_measure
0.726046 [0.836601,0.468085]
f_measure
0.760288 [0.843537,0.566038]
f_measure
0.748025 [0.837838,0.538462]
f_measure
0.739443 [0.829932,0.528302]
f_measure
0.722667 [0.826667,0.48]
f_measure
0.71373 [0.788321,0.539683]
f_measure
0.748025 [0.837838,0.538462]
f_measure
0.761184 [0.855263,0.541667]
f_measure
0.746043 [0.825175,0.561404]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.804605 [0.881579,0.625]
f_measure
0.744 [0.84,0.52]
f_measure
0.722667 [0.826667,0.48]
f_measure
0.748025 [0.837838,0.538462]
f_measure
0.784075 [0.855172,0.618182]
f_measure
0.706029 [0.810811,0.461538]
f_measure
0.726046 [0.836601,0.468085]
f_measure
0.775198 [0.847222,0.607143]
f_measure
0.769879 [0.862745,0.553191]
f_measure
0.757552 [0.830986,0.586207]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.689498 [0.794521,0.444444]
f_measure
0.825204 [0.882759,0.690909]
f_measure
0.722382 [0.813793,0.509091]
f_measure
0.765333 [0.853333,0.56]
f_measure
0.664033 [0.783784,0.384615]
f_measure
0.7 [0.785714,0.5]
f_measure
0.79796 [0.859155,0.655172]
f_measure
0.792998 [0.863014,0.62963]
f_measure
0.790021 [0.864865,0.615385]
f_measure
0.79796 [0.859155,0.655172]
f_measure
0.676736 [0.774648,0.448276]
f_measure
0.734325 [0.819444,0.535714]
f_measure
0.718598 [0.816327,0.490566]
f_measure
0.765333 [0.853333,0.56]
f_measure
0.791795 [0.875817,0.595745]
f_measure
0.777813 [0.85906,0.588235]
f_measure
0.718598 [0.816327,0.490566]
f_measure
0.701333 [0.813333,0.44]
f_measure
0.735492 [0.832215,0.509804]
f_measure
0.739443 [0.829932,0.528302]
f_measure
0.825204 [0.882759,0.690909]
f_measure
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f_measure
0.76636 [0.839161,0.596491]
f_measure
0.760288 [0.843537,0.566038]
f_measure
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f_measure
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f_measure
0.731045 [0.834437,0.489796]
f_measure
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f_measure
0.688012 [0.807947,0.408163]
f_measure
0.681254 [0.786207,0.436364]
f_measure
0.775198 [0.847222,0.607143]
f_measure
0.751598 [0.835616,0.555556]
f_measure
0.748025 [0.837838,0.538462]
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kappa
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kappa
0.275
kappa
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kappa
0.583333
kappa
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kappa
0.494949
kappa
0.515306
kappa
0.191919
kappa
0.388298
kappa
0.193548
kappa
0.413265
kappa
0.505495
kappa
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kappa
0.466019
kappa
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kappa
0.393939
kappa
0.340659
kappa
0.43299
kappa
0.428571
kappa
0.292929
kappa
0.362245
kappa
0.242424
kappa
0.354839
kappa
0.335106
kappa
0.329897
kappa
0.175532
kappa
0.244792
kappa
0.25
kappa
0.421053
kappa
0.375
kappa
0.413265
kappa
0.335106
kappa
0.296875
kappa
0.315789
kappa
0.405941
kappa
0.387255
kappa
0.401042
kappa
0.473684
kappa
0.393939
kappa
0.306931
kappa
0.263158
kappa
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kappa
0.338235
kappa
0.399038
kappa
0.356436
kappa
0.320652
kappa
0.413265
kappa
0.381443
kappa
0.362245
kappa
0.315789
kappa
0.328704
kappa
0.381443
kappa
0.408602
kappa
0.387255
kappa
0.329897
kappa
0.516129
kappa
0.368421
kappa
0.315789
kappa
0.381443
kappa
0.475
kappa
0.278351
kappa
0.320652
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0.455446
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0.429348
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0.417476
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0.329897
kappa
0.242424
kappa
0.575
kappa
0.325
kappa
0.421053
kappa
0.175258
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0.285714
kappa
0.514563
kappa
0.494949
kappa
0.484536
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0.514563
kappa
0.223301
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0.356436
kappa
0.311224
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0.421053
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0.453125
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0.348958
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kappa
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kappa
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0.413265
kappa
0.43299
kappa
0.504717
kappa
0.335106
kappa
0.354839
kappa
0.228723
kappa
0.225
kappa
0.455446
kappa
0.393939
kappa
0.381443
kb_relative_information_score
28.246696
kb_relative_information_score
23.648565
kb_relative_information_score
15.789612
kb_relative_information_score
22.110252
kb_relative_information_score
35.781946
kb_relative_information_score
27.677738
kb_relative_information_score
32.321181
kb_relative_information_score
32.477802
kb_relative_information_score
10.033146
kb_relative_information_score
23.532388
kb_relative_information_score
19.552549
kb_relative_information_score
29.183294
kb_relative_information_score
32.49215
kb_relative_information_score
22.95914
kb_relative_information_score
22.902044
kb_relative_information_score
29.131984
kb_relative_information_score
26.658037
kb_relative_information_score
31.089032
kb_relative_information_score
28.695287
kb_relative_information_score
19.312886
kb_relative_information_score
20.128212
kb_relative_information_score
22.664792
kb_relative_information_score
22.074599
kb_relative_information_score
26.883681
kb_relative_information_score
19.551841
kb_relative_information_score
24.983879
kb_relative_information_score
12.435057
kb_relative_information_score
18.321941
kb_relative_information_score
25.550616
kb_relative_information_score
28.860606
kb_relative_information_score
20.145773
kb_relative_information_score
25.043392
kb_relative_information_score
25.303351
kb_relative_information_score
23.860915
kb_relative_information_score
27.450483
kb_relative_information_score
23.192208
kb_relative_information_score
26.174656
kb_relative_information_score
30.507315
kb_relative_information_score
28.90477
kb_relative_information_score
26.967824
kb_relative_information_score
19.591571
kb_relative_information_score
20.997886
kb_relative_information_score
24.284538
kb_relative_information_score
21.419267
kb_relative_information_score
26.722802
kb_relative_information_score
25.082508
kb_relative_information_score
27.197664
kb_relative_information_score
26.502008
kb_relative_information_score
22.675251
kb_relative_information_score
28.45287
kb_relative_information_score
27.970837
kb_relative_information_score
16.794767
kb_relative_information_score
27.359312
kb_relative_information_score
27.302002
kb_relative_information_score
27.64085
kb_relative_information_score
26.454362
kb_relative_information_score
32.812879
kb_relative_information_score
21.994797
kb_relative_information_score
24.950208
kb_relative_information_score
33.100866
kb_relative_information_score
33.20208
kb_relative_information_score
17.970944
kb_relative_information_score
28.525842
kb_relative_information_score
26.164193
kb_relative_information_score
35.723931
kb_relative_information_score
20.520276
kb_relative_information_score
24.877108
kb_relative_information_score
22.254615
kb_relative_information_score
34.477339
kb_relative_information_score
19.192708
kb_relative_information_score
32.099793
kb_relative_information_score
19.209011
kb_relative_information_score
18.516568
kb_relative_information_score
33.446151
kb_relative_information_score
28.026274
kb_relative_information_score
36.709781
kb_relative_information_score
25.927857
kb_relative_information_score
15.281488
kb_relative_information_score
21.915985
kb_relative_information_score
24.767923
kb_relative_information_score
31.668715
kb_relative_information_score
35.484853
kb_relative_information_score
29.728267
kb_relative_information_score
21.850685
kb_relative_information_score
24.326891
kb_relative_information_score
25.024227
kb_relative_information_score
23.926547
kb_relative_information_score
35.889505
kb_relative_information_score
24.289177
kb_relative_information_score
28.065021
kb_relative_information_score
26.523486
kb_relative_information_score
31.869743
kb_relative_information_score
29.371012
kb_relative_information_score
27.367715
kb_relative_information_score
23.6473
kb_relative_information_score
20.5336
kb_relative_information_score
18.483992
kb_relative_information_score
27.138984
kb_relative_information_score
31.259521
kb_relative_information_score
26.766146
mean_absolute_error
0.299869
mean_absolute_error
0.308786
mean_absolute_error
0.344488
mean_absolute_error
0.319044
mean_absolute_error
0.271567
mean_absolute_error
0.298024
mean_absolute_error
0.283195
mean_absolute_error
0.285337
mean_absolute_error
0.361019
mean_absolute_error
0.315193
mean_absolute_error
0.322322
mean_absolute_error
0.293079
mean_absolute_error
0.281741
mean_absolute_error
0.316991
mean_absolute_error
0.31497
mean_absolute_error
0.292617
mean_absolute_error
0.307452
mean_absolute_error
0.283082
mean_absolute_error
0.293945
mean_absolute_error
0.328631
mean_absolute_error
0.3285
mean_absolute_error
0.317586
mean_absolute_error
0.311334
mean_absolute_error
0.302487
mean_absolute_error
0.328098
mean_absolute_error
0.308748
mean_absolute_error
0.35316
mean_absolute_error
0.325869
mean_absolute_error
0.304228
mean_absolute_error
0.290716
mean_absolute_error
0.32474
mean_absolute_error
0.309518
mean_absolute_error
0.305501
mean_absolute_error
0.309677
mean_absolute_error
0.297267
mean_absolute_error
0.312773
mean_absolute_error
0.300652
mean_absolute_error
0.288441
mean_absolute_error
0.296084
mean_absolute_error
0.301465
mean_absolute_error
0.329468
mean_absolute_error
0.321351
mean_absolute_error
0.307423
mean_absolute_error
0.319597
mean_absolute_error
0.30314
mean_absolute_error
0.307671
mean_absolute_error
0.29956
mean_absolute_error
0.305432
mean_absolute_error
0.315375
mean_absolute_error
0.295284
mean_absolute_error
0.294564
mean_absolute_error
0.336856
mean_absolute_error
0.29996
mean_absolute_error
0.299524
mean_absolute_error
0.300618
mean_absolute_error
0.30278
mean_absolute_error
0.283874
mean_absolute_error
0.317934
mean_absolute_error
0.303845
mean_absolute_error
0.27638
mean_absolute_error
0.274301
mean_absolute_error
0.329192
mean_absolute_error
0.297209
mean_absolute_error
0.303714
mean_absolute_error
0.270582
mean_absolute_error
0.32427
mean_absolute_error
0.304634
mean_absolute_error
0.315593
mean_absolute_error
0.276155
mean_absolute_error
0.329914
mean_absolute_error
0.28377
mean_absolute_error
0.326085
mean_absolute_error
0.33047
mean_absolute_error
0.281504
mean_absolute_error
0.299322
mean_absolute_error
0.269163
mean_absolute_error
0.311924
mean_absolute_error
0.340734
mean_absolute_error
0.321612
mean_absolute_error
0.306325
mean_absolute_error
0.284153
mean_absolute_error
0.274875
mean_absolute_error
0.293164
mean_absolute_error
0.315061
mean_absolute_error
0.304502
mean_absolute_error
0.3092
mean_absolute_error
0.311799
mean_absolute_error
0.274646
mean_absolute_error
0.310114
mean_absolute_error
0.297637
mean_absolute_error
0.306764
mean_absolute_error
0.286907
mean_absolute_error
0.298846
mean_absolute_error
0.297288
mean_absolute_error
0.311592
mean_absolute_error
0.324478
mean_absolute_error
0.324211
mean_absolute_error
0.298239
mean_absolute_error
0.286228
mean_absolute_error
0.299282
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.782667 [0.826667,0.68]
precision
0.685055 [0.753086,0.526316]
precision
0.697333 [0.773333,0.52]
precision
0.74 [0.8,0.6]
precision
0.826332 [0.863014,0.740741]
precision
0.767897 [0.830986,0.62069]
precision
0.792763 [0.828947,0.708333]
precision
0.803557 [0.831169,0.73913]
precision
0.6625 [0.75,0.458333]
precision
0.75835 [0.790123,0.684211]
precision
0.670732 [0.743902,0.5]
precision
0.759289 [0.805195,0.652174]
precision
0.829167 [0.809524,0.875]
precision
0.724709 [0.782051,0.590909]
precision
0.77619 [0.833333,0.642857]
precision
0.76985 [0.770115,0.769231]
precision
0.749342 [0.802632,0.625]
precision
0.747917 [0.77381,0.6875]
precision
0.76993 [0.807692,0.681818]
precision
0.76 [0.828571,0.6]
precision
0.705921 [0.776316,0.541667]
precision
0.737154 [0.792208,0.608696]
precision
0.684211 [0.763158,0.5]
precision
0.746341 [0.780488,0.666667]
precision
0.733918 [0.777778,0.631579]
precision
0.724709 [0.782051,0.590909]
precision
0.660624 [0.740741,0.473684]
precision
0.688788 [0.759494,0.52381]
precision
0.707059 [0.752941,0.6]
precision
0.77 [0.8,0.7]
precision
0.738263 [0.820896,0.545455]
precision
0.759289 [0.805195,0.652174]
precision
0.733918 [0.777778,0.631579]
precision
0.711935 [0.772152,0.571429]
precision
0.7225 [0.775,0.6]
precision
0.752183 [0.810811,0.615385]
precision
0.743531 [0.808219,0.592593]
precision
0.758228 [0.797468,0.666667]
precision
0.79375 [0.8125,0.75]
precision
0.749342 [0.802632,0.625]
precision
0.710187 [0.783784,0.538462]
precision
0.69875 [0.7625,0.55]
precision
0.705921 [0.776316,0.541667]
precision
0.722831 [0.794521,0.555556]
precision
0.747693 [0.816901,0.586207]
precision
0.731185 [0.797297,0.576923]
precision
0.733877 [0.771084,0.647059]
precision
0.759289 [0.805195,0.652174]
precision
0.747319 [0.794872,0.636364]
precision
0.737154 [0.792208,0.608696]
precision
0.7225 [0.775,0.6]
precision
0.718725 [0.80597,0.515152]
precision
0.747319 [0.794872,0.636364]
precision
0.771545 [0.792683,0.722222]
precision
0.743531 [0.808219,0.592593]
precision
0.724709 [0.782051,0.590909]
precision
0.821951 [0.817073,0.833333]
precision
0.74625 [0.7875,0.65]
precision
0.7225 [0.775,0.6]
precision
0.747319 [0.794872,0.636364]
precision
0.782667 [0.826667,0.68]
precision
0.702098 [0.769231,0.545455]
precision
0.733877 [0.771084,0.647059]
precision
0.773181 [0.824324,0.653846]
precision
0.786038 [0.795181,0.764706]
precision
0.755754 [0.819444,0.607143]
precision
0.724709 [0.782051,0.590909]
precision
0.684211 [0.763158,0.5]
precision
0.825333 [0.853333,0.76]
precision
0.718667 [0.786667,0.56]
precision
0.77 [0.8,0.7]
precision
0.656876 [0.74359,0.454545]
precision
0.7 [0.785714,0.5]
precision
0.796627 [0.847222,0.678571]
precision
0.792763 [0.828947,0.708333]
precision
0.792541 [0.820513,0.727273]
precision
0.796627 [0.847222,0.678571]
precision
0.674008 [0.763889,0.464286]
precision
0.731185 [0.797297,0.576923]
precision
0.71502 [0.779221,0.565217]
precision
0.77 [0.8,0.7]
precision
0.812119 [0.807229,0.823529]
precision
0.781374 [0.810127,0.714286]
precision
0.71502 [0.779221,0.565217]
precision
0.69875 [0.7625,0.55]
precision
0.735081 [0.78481,0.619048]
precision
0.737154 [0.792208,0.608696]
precision
0.825333 [0.853333,0.76]
precision
0.737154 [0.792208,0.608696]
precision
0.764231 [0.821918,0.62963]
precision
0.759289 [0.805195,0.652174]
precision
0.76993 [0.807692,0.681818]
precision
0.792099 [0.855072,0.645161]
precision
0.733918 [0.777778,0.631579]
precision
0.746341 [0.780488,0.666667]
precision
0.685055 [0.753086,0.526316]
precision
0.676 [0.76,0.48]
precision
0.773181 [0.824324,0.653846]
precision
0.749342 [0.802632,0.625]
precision
0.747319 [0.794872,0.636364]
predictive_accuracy
0.79
predictive_accuracy
0.71
predictive_accuracy
0.71
predictive_accuracy
0.75
predictive_accuracy
0.83
predictive_accuracy
0.77
predictive_accuracy
0.8
predictive_accuracy
0.81
predictive_accuracy
0.68
predictive_accuracy
0.77
predictive_accuracy
0.7
predictive_accuracy
0.77
predictive_accuracy
0.82
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.75
predictive_accuracy
0.7
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.69
predictive_accuracy
0.71
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.73
predictive_accuracy
0.77
predictive_accuracy
0.75
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.73
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.71
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.82
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.79
predictive_accuracy
0.72
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.7
predictive_accuracy
0.83
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.81
predictive_accuracy
0.79
predictive_accuracy
0.73
predictive_accuracy
0.72
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.83
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.71
predictive_accuracy
0.69
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.76
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
recall
0.79 [0.885714,0.566667]
recall
0.71 [0.871429,0.333333]
recall
0.71 [0.828571,0.433333]
recall
0.75 [0.857143,0.5]
recall
0.83 [0.9,0.666667]
recall
0.77 [0.842857,0.6]
recall
0.8 [0.9,0.566667]
recall
0.81 [0.914286,0.566667]
recall
0.68 [0.814286,0.366667]
recall
0.77 [0.914286,0.433333]
recall
0.7 [0.871429,0.3]
recall
0.77 [0.885714,0.5]
recall
0.82 [0.971429,0.466667]
recall
0.74 [0.871429,0.433333]
recall
0.78 [0.857143,0.6]
recall
0.77 [0.957143,0.333333]
recall
0.76 [0.871429,0.5]
recall
0.76 [0.928571,0.366667]
recall
0.78 [0.9,0.5]
recall
0.76 [0.828571,0.6]
recall
0.72 [0.842857,0.433333]
recall
0.75 [0.871429,0.466667]
recall
0.7 [0.828571,0.4]
recall
0.76 [0.914286,0.4]
recall
0.75 [0.9,0.4]
recall
0.74 [0.871429,0.433333]
recall
0.69 [0.857143,0.3]
recall
0.71 [0.857143,0.366667]
recall
0.73 [0.914286,0.3]
recall
0.78 [0.914286,0.466667]
recall
0.73 [0.785714,0.6]
recall
0.77 [0.885714,0.5]
recall
0.75 [0.9,0.4]
recall
0.73 [0.871429,0.4]
recall
0.74 [0.885714,0.4]
recall
0.76 [0.857143,0.533333]
recall
0.75 [0.842857,0.533333]
recall
0.77 [0.9,0.466667]
recall
0.8 [0.928571,0.5]
recall
0.76 [0.871429,0.5]
recall
0.72 [0.828571,0.466667]
recall
0.72 [0.871429,0.366667]
recall
0.72 [0.842857,0.433333]
recall
0.73 [0.828571,0.5]
recall
0.75 [0.828571,0.566667]
recall
0.74 [0.842857,0.5]
recall
0.75 [0.914286,0.366667]
recall
0.77 [0.885714,0.5]
recall
0.76 [0.885714,0.466667]
recall
0.75 [0.871429,0.466667]
recall
0.74 [0.885714,0.4]
recall
0.71 [0.771429,0.566667]
recall
0.76 [0.885714,0.466667]
recall
0.78 [0.928571,0.433333]
recall
0.75 [0.842857,0.533333]
recall
0.74 [0.871429,0.433333]
recall
0.82 [0.957143,0.5]
recall
0.76 [0.9,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.76 [0.885714,0.466667]
recall
0.79 [0.885714,0.566667]
recall
0.72 [0.857143,0.4]
recall
0.75 [0.914286,0.366667]
recall
0.78 [0.871429,0.566667]
recall
0.79 [0.942857,0.433333]
recall
0.76 [0.842857,0.566667]
recall
0.74 [0.871429,0.433333]
recall
0.7 [0.828571,0.4]
recall
0.83 [0.914286,0.633333]
recall
0.73 [0.842857,0.466667]
recall
0.78 [0.914286,0.466667]
recall
0.68 [0.828571,0.333333]
recall
0.7 [0.785714,0.5]
recall
0.8 [0.871429,0.633333]
recall
0.8 [0.9,0.566667]
recall
0.8 [0.914286,0.533333]
recall
0.8 [0.871429,0.633333]
recall
0.68 [0.785714,0.433333]
recall
0.74 [0.842857,0.5]
recall
0.73 [0.857143,0.433333]
recall
0.78 [0.914286,0.466667]
recall
0.81 [0.957143,0.466667]
recall
0.79 [0.914286,0.5]
recall
0.73 [0.857143,0.433333]
recall
0.72 [0.871429,0.366667]
recall
0.75 [0.885714,0.433333]
recall
0.75 [0.871429,0.466667]
recall
0.83 [0.914286,0.633333]
recall
0.75 [0.871429,0.466667]
recall
0.77 [0.857143,0.566667]
recall
0.77 [0.885714,0.5]
recall
0.78 [0.9,0.5]
recall
0.79 [0.842857,0.666667]
recall
0.75 [0.9,0.4]
recall
0.76 [0.914286,0.4]
recall
0.71 [0.871429,0.333333]
recall
0.69 [0.814286,0.4]
recall
0.78 [0.871429,0.566667]
recall
0.76 [0.871429,0.5]
recall
0.76 [0.885714,0.466667]
relative_absolute_error
0.713701
relative_absolute_error
0.734926
relative_absolute_error
0.819898
relative_absolute_error
0.75934
relative_absolute_error
0.646343
relative_absolute_error
0.709311
relative_absolute_error
0.674018
relative_absolute_error
0.679117
relative_absolute_error
0.859243
relative_absolute_error
0.750175
relative_absolute_error
0.767142
relative_absolute_error
0.697542
relative_absolute_error
0.670558
relative_absolute_error
0.754452
relative_absolute_error
0.749644
relative_absolute_error
0.696441
relative_absolute_error
0.731751
relative_absolute_error
0.673748
relative_absolute_error
0.699603
relative_absolute_error
0.782158
relative_absolute_error
0.781846
relative_absolute_error
0.75587
relative_absolute_error
0.74099
relative_absolute_error
0.719933
relative_absolute_error
0.78089
relative_absolute_error
0.734834
relative_absolute_error
0.840537
relative_absolute_error
0.775583
relative_absolute_error
0.724077
relative_absolute_error
0.691918
relative_absolute_error
0.772898
relative_absolute_error
0.736666
relative_absolute_error
0.727107
relative_absolute_error
0.737047
relative_absolute_error
0.70751
relative_absolute_error
0.744416
relative_absolute_error
0.715565
relative_absolute_error
0.686504
relative_absolute_error
0.704695
relative_absolute_error
0.717501
relative_absolute_error
0.784149
relative_absolute_error
0.764831
relative_absolute_error
0.731681
relative_absolute_error
0.760655
relative_absolute_error
0.721487
relative_absolute_error
0.732271
relative_absolute_error
0.712967
relative_absolute_error
0.726942
relative_absolute_error
0.750607
relative_absolute_error
0.702789
relative_absolute_error
0.701076
relative_absolute_error
0.801734
relative_absolute_error
0.713919
relative_absolute_error
0.712882
relative_absolute_error
0.715484
relative_absolute_error
0.72063
relative_absolute_error
0.675634
relative_absolute_error
0.756698
relative_absolute_error
0.723166
relative_absolute_error
0.657798
relative_absolute_error
0.65285
relative_absolute_error
0.783494
relative_absolute_error
0.707373
relative_absolute_error
0.722853
relative_absolute_error
0.643998
relative_absolute_error
0.771777
relative_absolute_error
0.725044
relative_absolute_error
0.751125
relative_absolute_error
0.657261
relative_absolute_error
0.785211
relative_absolute_error
0.675387
relative_absolute_error
0.776099
relative_absolute_error
0.786534
relative_absolute_error
0.669992
relative_absolute_error
0.712401
relative_absolute_error
0.640622
relative_absolute_error
0.742394
relative_absolute_error
0.810963
relative_absolute_error
0.765453
relative_absolute_error
0.729068
relative_absolute_error
0.676298
relative_absolute_error
0.654216
relative_absolute_error
0.697744
relative_absolute_error
0.74986
relative_absolute_error
0.72473
relative_absolute_error
0.73591
relative_absolute_error
0.742098
relative_absolute_error
0.653671
relative_absolute_error
0.738086
relative_absolute_error
0.70839
relative_absolute_error
0.730112
relative_absolute_error
0.682852
relative_absolute_error
0.711267
relative_absolute_error
0.707559
relative_absolute_error
0.741604
relative_absolute_error
0.772272
relative_absolute_error
0.771638
relative_absolute_error
0.709823
relative_absolute_error
0.681237
relative_absolute_error
0.712304
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.400116
root_mean_squared_error
0.427875
root_mean_squared_error
0.452618
root_mean_squared_error
0.408962
root_mean_squared_error
0.372966
root_mean_squared_error
0.405329
root_mean_squared_error
0.392672
root_mean_squared_error
0.368544
root_mean_squared_error
0.473212
root_mean_squared_error
0.431341
root_mean_squared_error
0.440056
root_mean_squared_error
0.40188
root_mean_squared_error
0.403445
root_mean_squared_error
0.425097
root_mean_squared_error
0.41169
root_mean_squared_error
0.408236
root_mean_squared_error
0.400723
root_mean_squared_error
0.392498
root_mean_squared_error
0.394424
root_mean_squared_error
0.428878
root_mean_squared_error
0.444029
root_mean_squared_error
0.435211
root_mean_squared_error
0.420835
root_mean_squared_error
0.411643
root_mean_squared_error
0.452006
root_mean_squared_error
0.408969
root_mean_squared_error
0.455564
root_mean_squared_error
0.445716
root_mean_squared_error
0.416282
root_mean_squared_error
0.403743
root_mean_squared_error
0.4158
root_mean_squared_error
0.417264
root_mean_squared_error
0.421769
root_mean_squared_error
0.409352
root_mean_squared_error
0.419406
root_mean_squared_error
0.424042
root_mean_squared_error
0.41361
root_mean_squared_error
0.398061
root_mean_squared_error
0.397279
root_mean_squared_error
0.404187
root_mean_squared_error
0.431312
root_mean_squared_error
0.422775
root_mean_squared_error
0.415207
root_mean_squared_error
0.436079
root_mean_squared_error
0.420119
root_mean_squared_error
0.41834
root_mean_squared_error
0.412863
root_mean_squared_error
0.397975
root_mean_squared_error
0.420934
root_mean_squared_error
0.391497
root_mean_squared_error
0.412377
root_mean_squared_error
0.427001
root_mean_squared_error
0.391054
root_mean_squared_error
0.405281
root_mean_squared_error
0.406338
root_mean_squared_error
0.404609
root_mean_squared_error
0.392107
root_mean_squared_error
0.444936
root_mean_squared_error
0.420797
root_mean_squared_error
0.397369
root_mean_squared_error
0.386324
root_mean_squared_error
0.439302
root_mean_squared_error
0.404531
root_mean_squared_error
0.392752
root_mean_squared_error
0.375105
root_mean_squared_error
0.431507
root_mean_squared_error
0.411635
root_mean_squared_error
0.432796
root_mean_squared_error
0.392226
root_mean_squared_error
0.415299
root_mean_squared_error
0.380443
root_mean_squared_error
0.441359
root_mean_squared_error
0.44026
root_mean_squared_error
0.38818
root_mean_squared_error
0.393348
root_mean_squared_error
0.373114
root_mean_squared_error
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