385897
2
Joaquin Vanschoren
1911
Supervised Classification
predictive_accuracy
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
weka
weka_3.7.12
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
1345972
description
https://api.openml.org/data/download/1345972/weka_generated_run4213783807662799860.xml
-1
1345975
model_readable
https://api.openml.org/data/download/1345975/WekaModel_weka.classifiers.trees.RandomForest5379004434135374110.model
-1
1345974
model_serialized
https://api.openml.org/data/download/1345974/WekaSerialized_weka.classifiers.trees.RandomForest6467699687335375722.model
-1
1345973
predictions
https://api.openml.org/data/download/1345973/weka_generated_predictions8025361128977999267.arff
area_under_roc_curve
0.775267 [0.775267,0.775267]
average_cost
0
f_measure
0.73542 [0.8398,0.491865]
kappa
0.344739
kb_relative_information_score
1802.70408
mean_absolute_error
0.341541
mean_prior_absolute_error
0.42016
number_of_instances
10000 [7000,3000]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.74182 [0.778089,0.657191]
predictive_accuracy
0.7564
prior_entropy
0.881778
recall
0.7564 [0.912143,0.393]
relative_absolute_error
0.812884
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.409119
root_relative_squared_error
0.89277
scimark_benchmark
928.81353 [498.6393847106874, 1014.1867954103211, 474.267552947349, 909.9062692880296, 1747.0676455404612]
total_cost
0
usercpu_time_millis
260
usercpu_time_millis_testing
50
usercpu_time_millis_training
210
area_under_roc_curve
0.818571 [0.818571,0.818571]
area_under_roc_curve
0.737143 [0.737143,0.737143]
area_under_roc_curve
0.698571 [0.698571,0.698571]
area_under_roc_curve
0.774762 [0.774762,0.774762]
area_under_roc_curve
0.868571 [0.868571,0.868571]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.82381 [0.82381,0.82381]
area_under_roc_curve
0.831429 [0.831429,0.831429]
area_under_roc_curve
0.661429 [0.661429,0.661429]
area_under_roc_curve
0.745714 [0.745714,0.745714]
area_under_roc_curve
0.72619 [0.72619,0.72619]
area_under_roc_curve
0.811905 [0.811905,0.811905]
area_under_roc_curve
0.781429 [0.781429,0.781429]
area_under_roc_curve
0.777619 [0.777619,0.777619]
area_under_roc_curve
0.798571 [0.798571,0.798571]
area_under_roc_curve
0.75381 [0.75381,0.75381]
area_under_roc_curve
0.778571 [0.778571,0.778571]
area_under_roc_curve
0.795714 [0.795714,0.795714]
area_under_roc_curve
0.791429 [0.791429,0.791429]
area_under_roc_curve
0.762381 [0.762381,0.762381]
area_under_roc_curve
0.721905 [0.721905,0.721905]
area_under_roc_curve
0.752857 [0.752857,0.752857]
area_under_roc_curve
0.797143 [0.797143,0.797143]
area_under_roc_curve
0.800476 [0.800476,0.800476]
area_under_roc_curve
0.66881 [0.66881,0.66881]
area_under_roc_curve
0.816667 [0.816667,0.816667]
area_under_roc_curve
0.677381 [0.677381,0.677381]
area_under_roc_curve
0.771905 [0.771905,0.771905]
area_under_roc_curve
0.762381 [0.762381,0.762381]
area_under_roc_curve
0.805238 [0.805238,0.805238]
area_under_roc_curve
0.740476 [0.740476,0.740476]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.782381 [0.782381,0.782381]
area_under_roc_curve
0.787143 [0.787143,0.787143]
area_under_roc_curve
0.774762 [0.774762,0.774762]
area_under_roc_curve
0.781905 [0.781905,0.781905]
area_under_roc_curve
0.785238 [0.785238,0.785238]
area_under_roc_curve
0.848095 [0.848095,0.848095]
area_under_roc_curve
0.777619 [0.777619,0.777619]
area_under_roc_curve
0.76619 [0.76619,0.76619]
area_under_roc_curve
0.824286 [0.824286,0.824286]
area_under_roc_curve
0.769048 [0.769048,0.769048]
area_under_roc_curve
0.728095 [0.728095,0.728095]
area_under_roc_curve
0.728095 [0.728095,0.728095]
area_under_roc_curve
0.81381 [0.81381,0.81381]
area_under_roc_curve
0.759524 [0.759524,0.759524]
area_under_roc_curve
0.814286 [0.814286,0.814286]
area_under_roc_curve
0.799048 [0.799048,0.799048]
area_under_roc_curve
0.725238 [0.725238,0.725238]
area_under_roc_curve
0.791429 [0.791429,0.791429]
area_under_roc_curve
0.817143 [0.817143,0.817143]
area_under_roc_curve
0.768571 [0.768571,0.768571]
area_under_roc_curve
0.774286 [0.774286,0.774286]
area_under_roc_curve
0.790952 [0.790952,0.790952]
area_under_roc_curve
0.789524 [0.789524,0.789524]
area_under_roc_curve
0.765714 [0.765714,0.765714]
area_under_roc_curve
0.804762 [0.804762,0.804762]
area_under_roc_curve
0.744286 [0.744286,0.744286]
area_under_roc_curve
0.813333 [0.813333,0.813333]
area_under_roc_curve
0.778095 [0.778095,0.778095]
area_under_roc_curve
0.749524 [0.749524,0.749524]
area_under_roc_curve
0.762381 [0.762381,0.762381]
area_under_roc_curve
0.814762 [0.814762,0.814762]
area_under_roc_curve
0.780952 [0.780952,0.780952]
area_under_roc_curve
0.862857 [0.862857,0.862857]
area_under_roc_curve
0.705714 [0.705714,0.705714]
area_under_roc_curve
0.790476 [0.790476,0.790476]
area_under_roc_curve
0.755714 [0.755714,0.755714]
area_under_roc_curve
0.87619 [0.87619,0.87619]
area_under_roc_curve
0.735714 [0.735714,0.735714]
area_under_roc_curve
0.801429 [0.801429,0.801429]
area_under_roc_curve
0.755238 [0.755238,0.755238]
area_under_roc_curve
0.75381 [0.75381,0.75381]
area_under_roc_curve
0.84619 [0.84619,0.84619]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.848571 [0.848571,0.848571]
area_under_roc_curve
0.822857 [0.822857,0.822857]
area_under_roc_curve
0.732381 [0.732381,0.732381]
area_under_roc_curve
0.790952 [0.790952,0.790952]
area_under_roc_curve
0.795238 [0.795238,0.795238]
area_under_roc_curve
0.77619 [0.77619,0.77619]
area_under_roc_curve
0.832381 [0.832381,0.832381]
area_under_roc_curve
0.808095 [0.808095,0.808095]
area_under_roc_curve
0.747619 [0.747619,0.747619]
area_under_roc_curve
0.729524 [0.729524,0.729524]
area_under_roc_curve
0.821429 [0.821429,0.821429]
area_under_roc_curve
0.747143 [0.747143,0.747143]
area_under_roc_curve
0.824762 [0.824762,0.824762]
area_under_roc_curve
0.805238 [0.805238,0.805238]
area_under_roc_curve
0.805714 [0.805714,0.805714]
area_under_roc_curve
0.744048 [0.744048,0.744048]
area_under_roc_curve
0.765714 [0.765714,0.765714]
area_under_roc_curve
0.802857 [0.802857,0.802857]
area_under_roc_curve
0.763333 [0.763333,0.763333]
area_under_roc_curve
0.762857 [0.762857,0.762857]
area_under_roc_curve
0.73381 [0.73381,0.73381]
area_under_roc_curve
0.696667 [0.696667,0.696667]
area_under_roc_curve
0.777857 [0.777857,0.777857]
area_under_roc_curve
0.810476 [0.810476,0.810476]
area_under_roc_curve
0.768571 [0.768571,0.768571]
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
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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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average_cost
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f_measure
0.769879 [0.862745,0.553191]
f_measure
0.688012 [0.807947,0.408163]
f_measure
0.70413 [0.823529,0.425532]
f_measure
0.760288 [0.843537,0.566038]
f_measure
0.752561 [0.847682,0.530612]
f_measure
0.752561 [0.847682,0.530612]
f_measure
0.712253 [0.831169,0.434783]
f_measure
0.69125 [0.8375,0.35]
f_measure
0.652632 [0.789474,0.333333]
f_measure
0.714331 [0.818792,0.470588]
f_measure
0.706061 [0.833333,0.409091]
f_measure
0.726046 [0.836601,0.468085]
f_measure
0.756522 [0.857143,0.521739]
f_measure
0.731045 [0.834437,0.489796]
f_measure
0.744 [0.84,0.52]
f_measure
0.800791 [0.883117,0.608696]
f_measure
0.756652 [0.845638,0.54902]
f_measure
0.761184 [0.855263,0.541667]
f_measure
0.734387 [0.844156,0.478261]
f_measure
0.763511 [0.841379,0.581818]
f_measure
0.70413 [0.823529,0.425532]
f_measure
0.70413 [0.823529,0.425532]
f_measure
0.774078 [0.860927,0.571429]
f_measure
0.756652 [0.845638,0.54902]
f_measure
0.690119 [0.818182,0.391304]
f_measure
0.769023 [0.851351,0.576923]
f_measure
0.696053 [0.815789,0.416667]
f_measure
0.712253 [0.831169,0.434783]
f_measure
0.70701 [0.842767,0.390244]
f_measure
0.756522 [0.857143,0.521739]
f_measure
0.722382 [0.813793,0.509091]
f_measure
0.696053 [0.815789,0.416667]
f_measure
0.667984 [0.805195,0.347826]
f_measure
0.760288 [0.843537,0.566038]
f_measure
0.782895 [0.868421,0.583333]
f_measure
0.688012 [0.807947,0.408163]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.808 [0.88,0.64]
f_measure
0.726046 [0.836601,0.468085]
f_measure
0.717763 [0.828947,0.458333]
f_measure
0.751282 [0.858974,0.5]
f_measure
0.735492 [0.832215,0.509804]
f_measure
0.756522 [0.857143,0.521739]
f_measure
0.765333 [0.853333,0.56]
f_measure
0.735492 [0.832215,0.509804]
f_measure
0.747963 [0.849673,0.510638]
f_measure
0.714116 [0.840764,0.418605]
f_measure
0.652803 [0.810127,0.285714]
f_measure
0.761184 [0.855263,0.541667]
f_measure
0.747963 [0.849673,0.510638]
f_measure
0.791795 [0.875817,0.595745]
f_measure
0.781132 [0.857143,0.603774]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.745389 [0.860759,0.47619]
f_measure
0.748025 [0.837838,0.538462]
f_measure
0.709528 [0.821192,0.44898]
f_measure
0.745389 [0.860759,0.47619]
f_measure
0.712253 [0.831169,0.434783]
f_measure
0.744 [0.84,0.52]
f_measure
0.722667 [0.826667,0.48]
f_measure
0.710198 [0.808219,0.481481]
f_measure
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f_measure
0.795594 [0.874172,0.612245]
f_measure
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f_measure
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f_measure
0.769023 [0.851351,0.576923]
f_measure
0.742796 [0.851613,0.488889]
f_measure
0.706029 [0.810811,0.461538]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.808 [0.88,0.64]
f_measure
0.690119 [0.818182,0.391304]
f_measure
0.761184 [0.855263,0.541667]
f_measure
0.795635 [0.861111,0.642857]
f_measure
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f_measure
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f_measure
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f_measure
0.751282 [0.858974,0.5]
f_measure
0.778656 [0.87013,0.565217]
f_measure
0.701333 [0.813333,0.44]
f_measure
0.734387 [0.844156,0.478261]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.786667 [0.866667,0.6]
f_measure
0.752561 [0.847682,0.530612]
f_measure
0.674342 [0.802632,0.375]
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.285714
kappa
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kappa
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kappa
0.325
kappa
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kappa
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kappa
0.413265
kappa
0.462366
kappa
0.228723
kappa
0.329897
kappa
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kappa
0.320652
kappa
0.301075
kappa
0.382022
kappa
0.348958
kappa
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kappa
0.421053
kappa
0.348958
kappa
0.375
kappa
0.289773
kappa
0.137931
kappa
0.408602
kappa
0.375
kappa
0.483696
kappa
0.464286
kappa
0.329897
kappa
0.367816
kappa
0.381443
kappa
0.281915
kappa
0.367816
kappa
0.285714
kappa
0.368421
kappa
0.315789
kappa
0.292929
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kappa
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0.305556
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0.273256
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0.43299
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0.361111
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0.278351
kappa
0.587629
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0.215116
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0.416667
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0.157609
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0.354839
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0.526316
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0.230769
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
19.884437
kb_relative_information_score
15.601604
kb_relative_information_score
10.772614
kb_relative_information_score
18.218062
kb_relative_information_score
24.819683
kb_relative_information_score
22.296803
kb_relative_information_score
22.246612
kb_relative_information_score
19.836192
kb_relative_information_score
6.558228
kb_relative_information_score
15.862721
kb_relative_information_score
15.075188
kb_relative_information_score
25.100259
kb_relative_information_score
21.737504
kb_relative_information_score
16.084853
kb_relative_information_score
16.630572
kb_relative_information_score
18.963394
kb_relative_information_score
17.075942
kb_relative_information_score
21.553943
kb_relative_information_score
18.22877
kb_relative_information_score
14.295068
kb_relative_information_score
13.838231
kb_relative_information_score
15.610926
kb_relative_information_score
20.734936
kb_relative_information_score
18.64445
kb_relative_information_score
11.206912
kb_relative_information_score
17.860473
kb_relative_information_score
8.434551
kb_relative_information_score
16.496952
kb_relative_information_score
17.326119
kb_relative_information_score
22.159536
kb_relative_information_score
11.997729
kb_relative_information_score
11.089319
kb_relative_information_score
18.551774
kb_relative_information_score
20.895859
kb_relative_information_score
19.912446
kb_relative_information_score
18.230734
kb_relative_information_score
18.158615
kb_relative_information_score
24.330799
kb_relative_information_score
18.305909
kb_relative_information_score
18.055001
kb_relative_information_score
19.061427
kb_relative_information_score
15.8601
kb_relative_information_score
18.189311
kb_relative_information_score
15.8956
kb_relative_information_score
21.475936
kb_relative_information_score
15.435247
kb_relative_information_score
21.376026
kb_relative_information_score
15.468637
kb_relative_information_score
16.668423
kb_relative_information_score
17.942885
kb_relative_information_score
25.197368
kb_relative_information_score
14.770563
kb_relative_information_score
18.038441
kb_relative_information_score
18.909142
kb_relative_information_score
20.165687
kb_relative_information_score
17.45522
kb_relative_information_score
23.132165
kb_relative_information_score
17.669071
kb_relative_information_score
20.867095
kb_relative_information_score
19.356338
kb_relative_information_score
15.404923
kb_relative_information_score
16.025237
kb_relative_information_score
21.353761
kb_relative_information_score
13.767629
kb_relative_information_score
24.609428
kb_relative_information_score
14.08761
kb_relative_information_score
21.987234
kb_relative_information_score
16.843132
kb_relative_information_score
29.486917
kb_relative_information_score
9.824492
kb_relative_information_score
19.862742
kb_relative_information_score
12.738743
kb_relative_information_score
13.727729
kb_relative_information_score
26.999636
kb_relative_information_score
13.560591
kb_relative_information_score
26.728379
kb_relative_information_score
15.38593
kb_relative_information_score
10.739894
kb_relative_information_score
13.596468
kb_relative_information_score
23.46588
kb_relative_information_score
18.634369
kb_relative_information_score
24.319938
kb_relative_information_score
20.192513
kb_relative_information_score
18.889989
kb_relative_information_score
16.44184
kb_relative_information_score
18.341341
kb_relative_information_score
15.981686
kb_relative_information_score
22.231908
kb_relative_information_score
21.40131
kb_relative_information_score
21.356314
kb_relative_information_score
15.910458
kb_relative_information_score
20.420488
kb_relative_information_score
17.839233
kb_relative_information_score
15.914205
kb_relative_information_score
13.934515
kb_relative_information_score
14.86826
kb_relative_information_score
11.120935
kb_relative_information_score
22.551975
kb_relative_information_score
19.981025
kb_relative_information_score
16.557019
mean_absolute_error
0.333621
mean_absolute_error
0.349253
mean_absolute_error
0.364579
mean_absolute_error
0.342358
mean_absolute_error
0.319984
mean_absolute_error
0.325057
mean_absolute_error
0.329519
mean_absolute_error
0.339315
mean_absolute_error
0.377177
mean_absolute_error
0.352635
mean_absolute_error
0.349285
mean_absolute_error
0.314276
mean_absolute_error
0.330768
mean_absolute_error
0.346565
mean_absolute_error
0.348474
mean_absolute_error
0.33753
mean_absolute_error
0.344241
mean_absolute_error
0.328869
mean_absolute_error
0.341707
mean_absolute_error
0.351418
mean_absolute_error
0.354722
mean_absolute_error
0.352306
mean_absolute_error
0.326446
mean_absolute_error
0.339764
mean_absolute_error
0.361019
mean_absolute_error
0.345247
mean_absolute_error
0.374181
mean_absolute_error
0.34719
mean_absolute_error
0.342991
mean_absolute_error
0.326705
mean_absolute_error
0.362863
mean_absolute_error
0.364019
mean_absolute_error
0.339024
mean_absolute_error
0.332842
mean_absolute_error
0.334945
mean_absolute_error
0.33988
mean_absolute_error
0.340504
mean_absolute_error
0.32158
mean_absolute_error
0.34279
mean_absolute_error
0.343775
mean_absolute_error
0.34118
mean_absolute_error
0.347503
mean_absolute_error
0.34496
mean_absolute_error
0.347329
mean_absolute_error
0.329212
mean_absolute_error
0.349706
mean_absolute_error
0.325924
mean_absolute_error
0.353244
mean_absolute_error
0.347249
mean_absolute_error
0.344677
mean_absolute_error
0.31899
mean_absolute_error
0.353009
mean_absolute_error
0.340071
mean_absolute_error
0.338372
mean_absolute_error
0.333182
mean_absolute_error
0.342097
mean_absolute_error
0.324755
mean_absolute_error
0.341308
mean_absolute_error
0.331772
mean_absolute_error
0.334046
mean_absolute_error
0.347144
mean_absolute_error
0.349577
mean_absolute_error
0.328742
mean_absolute_error
0.358703
mean_absolute_error
0.324489
mean_absolute_error
0.35513
mean_absolute_error
0.331737
mean_absolute_error
0.342877
mean_absolute_error
0.306767
mean_absolute_error
0.371741
mean_absolute_error
0.335645
mean_absolute_error
0.355263
mean_absolute_error
0.357554
mean_absolute_error
0.312645
mean_absolute_error
0.358099
mean_absolute_error
0.309199
mean_absolute_error
0.354154
mean_absolute_error
0.366839
mean_absolute_error
0.356117
mean_absolute_error
0.322722
mean_absolute_error
0.342939
mean_absolute_error
0.325174
mean_absolute_error
0.334444
mean_absolute_error
0.334747
mean_absolute_error
0.344846
mean_absolute_error
0.343734
mean_absolute_error
0.343999
mean_absolute_error
0.327377
mean_absolute_error
0.330997
mean_absolute_error
0.330419
mean_absolute_error
0.347932
mean_absolute_error
0.335153
mean_absolute_error
0.3423
mean_absolute_error
0.345696
mean_absolute_error
0.358114
mean_absolute_error
0.347629
mean_absolute_error
0.362385
mean_absolute_error
0.323766
mean_absolute_error
0.338914
mean_absolute_error
0.340374
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
0.786038 [0.795181,0.764706]
precision
0.685055 [0.753086,0.526316]
precision
0.707796 [0.759036,0.588235]
precision
0.759289 [0.805195,0.652174]
precision
0.75835 [0.790123,0.684211]
precision
0.75835 [0.790123,0.684211]
precision
0.720833 [0.761905,0.625]
precision
0.731111 [0.744444,0.7]
precision
0.645528 [0.731707,0.444444]
precision
0.711935 [0.772152,0.571429]
precision
0.721927 [0.755814,0.642857]
precision
0.733877 [0.771084,0.647059]
precision
0.775 [0.785714,0.75]
precision
0.733918 [0.777778,0.631579]
precision
0.74625 [0.7875,0.65]
precision
0.829167 [0.809524,0.875]
precision
0.758228 [0.797468,0.666667]
precision
0.771545 [0.792683,0.722222]
precision
0.747917 [0.77381,0.6875]
precision
0.761333 [0.813333,0.64]
precision
0.707796 [0.759036,0.588235]
precision
0.707796 [0.759036,0.588235]
precision
0.782781 [0.802469,0.736842]
precision
0.758228 [0.797468,0.666667]
precision
0.69375 [0.75,0.5625]
precision
0.76993 [0.807692,0.681818]
precision
0.695935 [0.756098,0.555556]
precision
0.720833 [0.761905,0.625]
precision
0.745148 [0.752809,0.727273]
precision
0.775 [0.785714,0.75]
precision
0.718667 [0.786667,0.56]
precision
0.695935 [0.756098,0.555556]
precision
0.666667 [0.738095,0.5]
precision
0.759289 [0.805195,0.652174]
precision
0.796748 [0.804878,0.777778]
precision
0.685055 [0.753086,0.526316]
precision
0.724709 [0.782051,0.590909]
precision
0.8175 [0.825,0.8]
precision
0.733877 [0.771084,0.647059]
precision
0.721138 [0.768293,0.611111]
precision
0.781063 [0.77907,0.785714]
precision
0.735081 [0.78481,0.619048]
precision
0.775 [0.785714,0.75]
precision
0.77 [0.8,0.7]
precision
0.735081 [0.78481,0.619048]
precision
0.759957 [0.783133,0.705882]
precision
0.738727 [0.758621,0.692308]
precision
0.659091 [0.727273,0.5]
precision
0.771545 [0.792683,0.722222]
precision
0.759957 [0.783133,0.705882]
precision
0.812119 [0.807229,0.823529]
precision
0.781423 [0.818182,0.695652]
precision
0.724709 [0.782051,0.590909]
precision
0.790909 [0.772727,0.833333]
precision
0.747319 [0.794872,0.636364]
precision
0.709487 [0.765432,0.578947]
precision
0.790909 [0.772727,0.833333]
precision
0.720833 [0.761905,0.625]
precision
0.74625 [0.7875,0.65]
precision
0.7225 [0.775,0.6]
precision
0.705921 [0.776316,0.541667]
precision
0.7225 [0.775,0.6]
precision
0.807212 [0.814815,0.789474]
precision
0.735294 [0.764706,0.666667]
precision
0.745148 [0.752809,0.727273]
precision
0.76993 [0.807692,0.681818]
precision
0.763529 [0.776471,0.733333]
precision
0.702098 [0.769231,0.545455]
precision
0.837762 [0.846154,0.818182]
precision
0.71001 [0.741573,0.636364]
precision
0.791765 [0.788235,0.8]
precision
0.655634 [0.73494,0.470588]
precision
0.746341 [0.780488,0.666667]
precision
0.8175 [0.825,0.8]
precision
0.69375 [0.75,0.5625]
precision
0.771545 [0.792683,0.722222]
precision
0.794179 [0.837838,0.692308]
precision
0.702098 [0.769231,0.545455]
precision
0.695935 [0.756098,0.555556]
precision
0.786038 [0.795181,0.764706]
precision
0.781063 [0.77907,0.785714]
precision
0.802083 [0.797619,0.8125]
precision
0.69875 [0.7625,0.55]
precision
0.747917 [0.77381,0.6875]
precision
0.707059 [0.752941,0.6]
precision
0.747917 [0.77381,0.6875]
precision
0.771545 [0.792683,0.722222]
precision
0.7225 [0.775,0.6]
precision
0.745148 [0.752809,0.727273]
precision
0.79375 [0.8125,0.75]
precision
0.771545 [0.792683,0.722222]
precision
0.738727 [0.758621,0.692308]
precision
0.76993 [0.807692,0.681818]
precision
0.721138 [0.768293,0.611111]
precision
0.692359 [0.744186,0.571429]
precision
0.707796 [0.759036,0.588235]
precision
0.685055 [0.753086,0.526316]
precision
0.79375 [0.8125,0.75]
precision
0.75835 [0.790123,0.684211]
precision
0.670732 [0.743902,0.5]
predictive_accuracy
0.79
predictive_accuracy
0.71
predictive_accuracy
0.73
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.68
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.82
predictive_accuracy
0.77
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.79
predictive_accuracy
0.77
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.72
predictive_accuracy
0.74
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.73
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.77
predictive_accuracy
0.8
predictive_accuracy
0.71
predictive_accuracy
0.74
predictive_accuracy
0.82
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.75
predictive_accuracy
0.7
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.81
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.72
predictive_accuracy
0.74
predictive_accuracy
0.81
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.72
predictive_accuracy
0.84
predictive_accuracy
0.73
predictive_accuracy
0.79
predictive_accuracy
0.69
predictive_accuracy
0.76
predictive_accuracy
0.82
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.72
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.8
predictive_accuracy
0.77
predictive_accuracy
0.7
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 [0.942857,0.433333]
recall
0.71 [0.871429,0.333333]
recall
0.73 [0.9,0.333333]
recall
0.77 [0.885714,0.5]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.74 [0.914286,0.333333]
recall
0.74 [0.957143,0.233333]
recall
0.68 [0.857143,0.266667]
recall
0.73 [0.871429,0.4]
recall
0.74 [0.928571,0.3]
recall
0.75 [0.914286,0.366667]
recall
0.78 [0.942857,0.4]
recall
0.75 [0.9,0.4]
recall
0.76 [0.9,0.433333]
recall
0.82 [0.971429,0.466667]
recall
0.77 [0.9,0.466667]
recall
0.78 [0.928571,0.433333]
recall
0.76 [0.928571,0.366667]
recall
0.77 [0.871429,0.533333]
recall
0.73 [0.9,0.333333]
recall
0.73 [0.9,0.333333]
recall
0.79 [0.928571,0.466667]
recall
0.77 [0.9,0.466667]
recall
0.72 [0.9,0.3]
recall
0.78 [0.9,0.5]
recall
0.72 [0.885714,0.333333]
recall
0.74 [0.914286,0.333333]
recall
0.75 [0.957143,0.266667]
recall
0.78 [0.942857,0.4]
recall
0.73 [0.842857,0.466667]
recall
0.72 [0.885714,0.333333]
recall
0.7 [0.885714,0.266667]
recall
0.77 [0.885714,0.5]
recall
0.8 [0.942857,0.466667]
recall
0.71 [0.871429,0.333333]
recall
0.74 [0.871429,0.433333]
recall
0.82 [0.942857,0.533333]
recall
0.75 [0.914286,0.366667]
recall
0.74 [0.9,0.366667]
recall
0.78 [0.957143,0.366667]
recall
0.75 [0.885714,0.433333]
recall
0.78 [0.942857,0.4]
recall
0.78 [0.914286,0.466667]
recall
0.75 [0.885714,0.433333]
recall
0.77 [0.928571,0.4]
recall
0.75 [0.942857,0.3]
recall
0.7 [0.914286,0.2]
recall
0.78 [0.928571,0.433333]
recall
0.77 [0.928571,0.4]
recall
0.81 [0.957143,0.466667]
recall
0.79 [0.9,0.533333]
recall
0.74 [0.871429,0.433333]
recall
0.78 [0.971429,0.333333]
recall
0.76 [0.885714,0.466667]
recall
0.73 [0.885714,0.366667]
recall
0.78 [0.971429,0.333333]
recall
0.74 [0.914286,0.333333]
recall
0.76 [0.9,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.72 [0.842857,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.81 [0.942857,0.5]
recall
0.75 [0.928571,0.333333]
recall
0.75 [0.957143,0.266667]
recall
0.78 [0.9,0.5]
recall
0.77 [0.942857,0.366667]
recall
0.72 [0.857143,0.4]
recall
0.84 [0.942857,0.6]
recall
0.73 [0.942857,0.233333]
recall
0.79 [0.957143,0.4]
recall
0.69 [0.871429,0.266667]
recall
0.76 [0.914286,0.4]
recall
0.82 [0.942857,0.533333]
recall
0.72 [0.9,0.3]
recall
0.78 [0.928571,0.433333]
recall
0.8 [0.885714,0.6]
recall
0.72 [0.857143,0.4]
recall
0.72 [0.885714,0.333333]
recall
0.79 [0.942857,0.433333]
recall
0.78 [0.957143,0.366667]
recall
0.8 [0.957143,0.433333]
recall
0.72 [0.871429,0.366667]
recall
0.76 [0.928571,0.366667]
recall
0.73 [0.914286,0.3]
recall
0.76 [0.928571,0.366667]
recall
0.78 [0.928571,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.75 [0.957143,0.266667]
recall
0.8 [0.928571,0.5]
recall
0.78 [0.928571,0.433333]
recall
0.75 [0.942857,0.3]
recall
0.78 [0.9,0.5]
recall
0.74 [0.9,0.366667]
recall
0.72 [0.914286,0.266667]
recall
0.73 [0.9,0.333333]
recall
0.71 [0.871429,0.333333]
recall
0.8 [0.928571,0.5]
recall
0.77 [0.914286,0.433333]
recall
0.7 [0.871429,0.3]
relative_absolute_error
0.794033
relative_absolute_error
0.83124
relative_absolute_error
0.867716
relative_absolute_error
0.814828
relative_absolute_error
0.761577
relative_absolute_error
0.773651
relative_absolute_error
0.784272
relative_absolute_error
0.807586
relative_absolute_error
0.897698
relative_absolute_error
0.839289
relative_absolute_error
0.831316
relative_absolute_error
0.747993
relative_absolute_error
0.787243
relative_absolute_error
0.824841
relative_absolute_error
0.829386
relative_absolute_error
0.803337
relative_absolute_error
0.819311
relative_absolute_error
0.782725
relative_absolute_error
0.813278
relative_absolute_error
0.83639
relative_absolute_error
0.844255
relative_absolute_error
0.838506
relative_absolute_error
0.776957
relative_absolute_error
0.808655
relative_absolute_error
0.859242
relative_absolute_error
0.821704
relative_absolute_error
0.890569
relative_absolute_error
0.826329
relative_absolute_error
0.816335
relative_absolute_error
0.777573
relative_absolute_error
0.863632
relative_absolute_error
0.866383
relative_absolute_error
0.806894
relative_absolute_error
0.792179
relative_absolute_error
0.797186
relative_absolute_error
0.80893
relative_absolute_error
0.810416
relative_absolute_error
0.765375
relative_absolute_error
0.815855
relative_absolute_error
0.818201
relative_absolute_error
0.812024
relative_absolute_error
0.827073
relative_absolute_error
0.821022
relative_absolute_error
0.826658
relative_absolute_error
0.78354
relative_absolute_error
0.832316
relative_absolute_error
0.775715
relative_absolute_error
0.840737
relative_absolute_error
0.82647
relative_absolute_error
0.820348
relative_absolute_error
0.759212
relative_absolute_error
0.840179
relative_absolute_error
0.809385
relative_absolute_error
0.805342
relative_absolute_error
0.79299
relative_absolute_error
0.814206
relative_absolute_error
0.772933
relative_absolute_error
0.81233
relative_absolute_error
0.789634
relative_absolute_error
0.795046
relative_absolute_error
0.826218
relative_absolute_error
0.83201
relative_absolute_error
0.782421
relative_absolute_error
0.853729
relative_absolute_error
0.7723
relative_absolute_error
0.845227
relative_absolute_error
0.789549
relative_absolute_error
0.816064
relative_absolute_error
0.730121
relative_absolute_error
0.884762
relative_absolute_error
0.798851
relative_absolute_error
0.845542
relative_absolute_error
0.850995
relative_absolute_error
0.744111
relative_absolute_error
0.852293
relative_absolute_error
0.735908
relative_absolute_error
0.842903
relative_absolute_error
0.873094
relative_absolute_error
0.847576
relative_absolute_error
0.768094
relative_absolute_error
0.816211
relative_absolute_error
0.773928
relative_absolute_error
0.795993
relative_absolute_error
0.796715
relative_absolute_error
0.82075
relative_absolute_error
0.818103
relative_absolute_error
0.818734
relative_absolute_error
0.779172
relative_absolute_error
0.787789
relative_absolute_error
0.786413
relative_absolute_error
0.828095
relative_absolute_error
0.797679
relative_absolute_error
0.81469
relative_absolute_error
0.822772
relative_absolute_error
0.852329
relative_absolute_error
0.827373
relative_absolute_error
0.862494
relative_absolute_error
0.770579
relative_absolute_error
0.806632
relative_absolute_error
0.810105
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
0.394825
root_mean_squared_error
0.421962
root_mean_squared_error
0.432369
root_mean_squared_error
0.405653
root_mean_squared_error
0.378046
root_mean_squared_error
0.397563
root_mean_squared_error
0.39605
root_mean_squared_error
0.394089
root_mean_squared_error
0.449906
root_mean_squared_error
0.419805
root_mean_squared_error
0.429289
root_mean_squared_error
0.393489
root_mean_squared_error
0.405471
root_mean_squared_error
0.411829
root_mean_squared_error
0.402277
root_mean_squared_error
0.410189
root_mean_squared_error
0.40732
root_mean_squared_error
0.401608
root_mean_squared_error
0.403958
root_mean_squared_error
0.415462
root_mean_squared_error
0.430123
root_mean_squared_error
0.421001
root_mean_squared_error
0.401704
root_mean_squared_error
0.402002
root_mean_squared_error
0.44249
root_mean_squared_error
0.401551
root_mean_squared_error
0.437445
root_mean_squared_error
0.415724
root_mean_squared_error
0.419969
root_mean_squared_error
0.398192
root_mean_squared_error
0.420375
root_mean_squared_error
0.429912
root_mean_squared_error
0.41115
root_mean_squared_error
0.402651
root_mean_squared_error
0.403116
root_mean_squared_error
0.408365
root_mean_squared_error
0.403782
root_mean_squared_error
0.383751
root_mean_squared_error
0.407
root_mean_squared_error
0.41174
root_mean_squared_error
0.397977
root_mean_squared_error
0.411444
root_mean_squared_error
0.418956
root_mean_squared_error
0.426639
root_mean_squared_error
0.398185
root_mean_squared_error
0.418324
root_mean_squared_error
0.4017
root_mean_squared_error
0.408862
root_mean_squared_error
0.418579
root_mean_squared_error
0.405922
root_mean_squared_error
0.39169
root_mean_squared_error
0.412522
root_mean_squared_error
0.408986
root_mean_squared_error
0.403017
root_mean_squared_error
0.399644
root_mean_squared_error
0.415534
root_mean_squared_error
0.398478
root_mean_squared_error
0.419529
root_mean_squared_error
0.398339
root_mean_squared_error
0.410442
root_mean_squared_error
0.420548
root_mean_squared_error
0.414338
root_mean_squared_error
0.395761
root_mean_squared_error
0.410699
root_mean_squared_error
0.383836
root_mean_squared_error
0.425872
root_mean_squared_error
0.399813
root_mean_squared_error
0.418812
root_mean_squared_error
0.366909
root_mean_squared_error
0.426064
root_mean_squared_error
0.399871
root_mean_squared_error
0.418893
root_mean_squared_error
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