340550
2
Joaquin Vanschoren
4291
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
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
1169262
description
https://api.openml.org/data/download/1169262/weka_generated_run2084634957078172465.xml
-1
1169265
model_readable
https://api.openml.org/data/download/1169265/WekaModel_weka.classifiers.trees.RandomForest1910100027465309915.model
-1
1169264
model_serialized
https://api.openml.org/data/download/1169264/WekaSerialized_weka.classifiers.trees.RandomForest5967947979053847138.model
-1
1169263
predictions
https://api.openml.org/data/download/1169263/weka_generated_predictions1051429080073991041.arff
area_under_roc_curve
0.869042 [0.869042,0.869042]
average_cost
0
f_measure
0.784021 [0.779627,0.788448]
kappa
0.568324
kb_relative_information_score
19368.249081
mean_absolute_error
0.279274
mean_prior_absolute_error
0.499994
number_of_instances
41770 [20960,20810]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.784821 [0.799218,0.77032]
predictive_accuracy
0.784127
prior_entropy
0.999991
recall
0.784127 [0.760973,0.807448]
relative_absolute_error
0.558555
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.383001
root_relative_squared_error
0.766008
scimark_benchmark
1320.828338 [817.7405200469505, 970.0251618161137, 526.8605337218959, 1071.2872788694497, 3218.2281952842477]
total_cost
0
usercpu_time_millis
1840
usercpu_time_millis_testing
270
usercpu_time_millis_training
1570
area_under_roc_curve
0.889563 [0.889563,0.889563]
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.873735 [0.873735,0.873735]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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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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kb_relative_information_score
210.071362
kb_relative_information_score
189.381378
kb_relative_information_score
204.264494
kb_relative_information_score
195.804802
kb_relative_information_score
173.208452
kb_relative_information_score
183.874289
kb_relative_information_score
204.52346
kb_relative_information_score
172.766181
kb_relative_information_score
202.224615
kb_relative_information_score
188.464567
kb_relative_information_score
169.359086
kb_relative_information_score
182.448029
kb_relative_information_score
178.630012
kb_relative_information_score
205.287332
kb_relative_information_score
180.373084
kb_relative_information_score
188.63685
kb_relative_information_score
203.125347
kb_relative_information_score
186.849057
kb_relative_information_score
188.398256
kb_relative_information_score
190.725626
kb_relative_information_score
200.996109
kb_relative_information_score
193.431442
kb_relative_information_score
194.016297
kb_relative_information_score
214.066119
kb_relative_information_score
183.09269
kb_relative_information_score
190.364857
kb_relative_information_score
188.662871
kb_relative_information_score
204.70647
kb_relative_information_score
196.960514
kb_relative_information_score
200.703614
kb_relative_information_score
195.984122
kb_relative_information_score
195.523188
kb_relative_information_score
182.346721
kb_relative_information_score
184.267892
kb_relative_information_score
189.592335
kb_relative_information_score
183.659991
kb_relative_information_score
206.532801
kb_relative_information_score
186.981523
kb_relative_information_score
206.497476
kb_relative_information_score
203.621104
kb_relative_information_score
196.188194
kb_relative_information_score
194.068393
kb_relative_information_score
193.214395
kb_relative_information_score
190.772502
kb_relative_information_score
204.31624
kb_relative_information_score
181.528873
kb_relative_information_score
194.724841
kb_relative_information_score
193.09416
kb_relative_information_score
191.65682
kb_relative_information_score
192.745301
kb_relative_information_score
196.67761
kb_relative_information_score
204.115241
kb_relative_information_score
200.624521
kb_relative_information_score
191.393934
kb_relative_information_score
200.787067
kb_relative_information_score
202.87702
kb_relative_information_score
188.391964
kb_relative_information_score
184.567243
kb_relative_information_score
187.376958
kb_relative_information_score
197.36316
kb_relative_information_score
182.106621
kb_relative_information_score
178.517099
kb_relative_information_score
195.544131
kb_relative_information_score
175.42185
kb_relative_information_score
184.850815
kb_relative_information_score
196.659489
kb_relative_information_score
182.175107
kb_relative_information_score
197.112395
kb_relative_information_score
202.301997
kb_relative_information_score
213.16274
kb_relative_information_score
191.931989
kb_relative_information_score
205.780893
kb_relative_information_score
195.549086
kb_relative_information_score
194.553238
mean_absolute_error
0.267971
mean_absolute_error
0.270206
mean_absolute_error
0.283266
mean_absolute_error
0.27139
mean_absolute_error
0.278678
mean_absolute_error
0.280641
mean_absolute_error
0.280594
mean_absolute_error
0.26169
mean_absolute_error
0.276734
mean_absolute_error
0.27004
mean_absolute_error
0.278274
mean_absolute_error
0.269196
mean_absolute_error
0.295589
mean_absolute_error
0.25239
mean_absolute_error
0.291713
mean_absolute_error
0.283575
mean_absolute_error
0.277528
mean_absolute_error
0.286111
mean_absolute_error
0.274745
mean_absolute_error
0.291145
mean_absolute_error
0.251188
mean_absolute_error
0.277823
mean_absolute_error
0.277611
mean_absolute_error
0.273875
mean_absolute_error
0.278157
mean_absolute_error
0.309682
mean_absolute_error
0.260148
mean_absolute_error
0.286077
mean_absolute_error
0.266279
mean_absolute_error
0.276267
mean_absolute_error
0.302987
mean_absolute_error
0.291144
mean_absolute_error
0.267612
mean_absolute_error
0.301894
mean_absolute_error
0.268821
mean_absolute_error
0.28627
mean_absolute_error
0.306168
mean_absolute_error
0.290812
mean_absolute_error
0.295655
mean_absolute_error
0.266152
mean_absolute_error
0.295702
mean_absolute_error
0.284994
mean_absolute_error
0.268146
mean_absolute_error
0.287784
mean_absolute_error
0.283977
mean_absolute_error
0.281687
mean_absolute_error
0.27165
mean_absolute_error
0.281542
mean_absolute_error
0.279343
mean_absolute_error
0.25602
mean_absolute_error
0.28942
mean_absolute_error
0.283863
mean_absolute_error
0.284732
mean_absolute_error
0.267319
mean_absolute_error
0.275212
mean_absolute_error
0.270325
mean_absolute_error
0.277293
mean_absolute_error
0.277488
mean_absolute_error
0.291775
mean_absolute_error
0.29092
mean_absolute_error
0.284978
mean_absolute_error
0.290233
mean_absolute_error
0.26521
mean_absolute_error
0.287218
mean_absolute_error
0.26364
mean_absolute_error
0.267387
mean_absolute_error
0.277374
mean_absolute_error
0.27882
mean_absolute_error
0.280769
mean_absolute_error
0.284361
mean_absolute_error
0.265206
mean_absolute_error
0.292894
mean_absolute_error
0.277884
mean_absolute_error
0.279642
mean_absolute_error
0.283332
mean_absolute_error
0.281711
mean_absolute_error
0.277808
mean_absolute_error
0.267528
mean_absolute_error
0.272065
mean_absolute_error
0.280916
mean_absolute_error
0.271443
mean_absolute_error
0.267895
mean_absolute_error
0.283908
mean_absolute_error
0.289979
mean_absolute_error
0.286014
mean_absolute_error
0.275595
mean_absolute_error
0.291474
mean_absolute_error
0.29483
mean_absolute_error
0.276303
mean_absolute_error
0.299064
mean_absolute_error
0.289477
mean_absolute_error
0.27426
mean_absolute_error
0.291422
mean_absolute_error
0.275801
mean_absolute_error
0.268046
mean_absolute_error
0.256069
mean_absolute_error
0.280924
mean_absolute_error
0.266575
mean_absolute_error
0.276869
mean_absolute_error
0.277181
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
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418 [209,209]
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418 [209,209]
number_of_instances
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
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417 [209,208]
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417 [209,208]
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417 [209,208]
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417 [209,208]
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417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
precision
0.789898 [0.800995,0.778802]
precision
0.78864 [0.810256,0.766816]
precision
0.801807 [0.830688,0.772926]
precision
0.797526 [0.81407,0.780822]
precision
0.795585 [0.815385,0.775785]
precision
0.783081 [0.79798,0.768182]
precision
0.78083 [0.796954,0.764706]
precision
0.79565 [0.816327,0.774775]
precision
0.778283 [0.792929,0.763636]
precision
0.807232 [0.839572,0.774892]
precision
0.787658 [0.800995,0.774194]
precision
0.792451 [0.80597,0.778802]
precision
0.78089 [0.79798,0.763636]
precision
0.830792 [0.845771,0.815668]
precision
0.765585 [0.769231,0.761905]
precision
0.772909 [0.780488,0.765258]
precision
0.785293 [0.772727,0.79798]
precision
0.79011 [0.820106,0.759825]
precision
0.789565 [0.816754,0.762115]
precision
0.75529 [0.788043,0.722222]
precision
0.832967 [0.863874,0.801762]
precision
0.780165 [0.789216,0.771028]
precision
0.758804 [0.748858,0.768844]
precision
0.775241 [0.781553,0.768868]
precision
0.796068 [0.819588,0.772321]
precision
0.751829 [0.765,0.738532]
precision
0.799519 [0.811881,0.787037]
precision
0.789474 [0.790476,0.788462]
precision
0.792729 [0.809045,0.776256]
precision
0.789565 [0.816754,0.762115]
precision
0.75529 [0.788043,0.722222]
precision
0.783135 [0.798995,0.767123]
precision
0.807328 [0.840426,0.773913]
precision
0.750558 [0.772021,0.728889]
precision
0.783832 [0.805128,0.762332]
precision
0.790489 [0.808081,0.772727]
precision
0.741661 [0.745192,0.738095]
precision
0.767201 [0.78866,0.745536]
precision
0.753175 [0.776042,0.730088]
precision
0.801806 [0.812808,0.790698]
precision
0.770335 [0.771429,0.769231]
precision
0.768206 [0.760369,0.776119]
precision
0.796662 [0.799043,0.794258]
precision
0.780355 [0.792079,0.768519]
precision
0.753762 [0.760976,0.746479]
precision
0.778656 [0.796954,0.760181]
precision
0.804886 [0.823232,0.786364]
precision
0.787438 [0.79803,0.776744]
precision
0.787093 [0.789474,0.784689]
precision
0.820963 [0.832512,0.809302]
precision
0.765954 [0.793651,0.737991]
precision
0.788259 [0.807107,0.769231]
precision
0.763948 [0.778894,0.748858]
precision
0.820778 [0.829268,0.812207]
precision
0.777764 [0.805263,0.75]
precision
0.781665 [0.816216,0.746781]
precision
0.782648 [0.793103,0.772093]
precision
0.787155 [0.792271,0.781991]
precision
0.764601 [0.784615,0.744395]
precision
0.776823 [0.798969,0.754464]
precision
0.787083 [0.78673,0.78744]
precision
0.770955 [0.78392,0.757991]
precision
0.811324 [0.801843,0.820896]
precision
0.771553 [0.789744,0.753363]
precision
0.789599 [0.796117,0.783019]
precision
0.804238 [0.793578,0.815]
precision
0.805466 [0.85,0.760504]
precision
0.792033 [0.79902,0.785047]
precision
0.789565 [0.816754,0.762115]
precision
0.79194 [0.797101,0.78673]
precision
0.789958 [0.807107,0.772727]
precision
0.762264 [0.796703,0.72766]
precision
0.786351 [0.811518,0.761062]
precision
0.784181 [0.810526,0.757709]
precision
0.80519 [0.829016,0.78125]
precision
0.793852 [0.821053,0.76652]
precision
0.803381 [0.800948,0.805825]
precision
0.811058 [0.84127,0.780702]
precision
0.808422 [0.817734,0.799065]
precision
0.776987 [0.778846,0.77512]
precision
0.796322 [0.78972,0.802956]
precision
0.796737 [0.81,0.78341]
precision
0.768464 [0.785714,0.751131]
precision
0.784204 [0.78744,0.780952]
precision
0.769894 [0.77561,0.764151]
precision
0.785494 [0.805128,0.765766]
precision
0.767502 [0.793651,0.741228]
precision
0.755396 [0.755981,0.754808]
precision
0.784393 [0.776744,0.792079]
precision
0.753303 [0.762376,0.744186]
precision
0.786351 [0.811518,0.761062]
precision
0.791679 [0.782407,0.800995]
precision
0.780448 [0.811828,0.748918]
precision
0.811151 [0.825,0.797235]
precision
0.78211 [0.792079,0.772093]
precision
0.806977 [0.826531,0.78733]
precision
0.782323 [0.795,0.769585]
precision
0.81295 [0.813397,0.8125]
precision
0.777151 [0.784314,0.769953]
precision
0.775239 [0.788945,0.761468]
predictive_accuracy
0.789474
predictive_accuracy
0.787081
predictive_accuracy
0.799043
predictive_accuracy
0.796651
predictive_accuracy
0.794258
predictive_accuracy
0.782297
predictive_accuracy
0.779904
predictive_accuracy
0.794258
predictive_accuracy
0.777512
predictive_accuracy
0.803828
predictive_accuracy
0.787081
predictive_accuracy
0.791866
predictive_accuracy
0.779904
predictive_accuracy
0.830144
predictive_accuracy
0.76555
predictive_accuracy
0.772727
predictive_accuracy
0.784689
predictive_accuracy
0.787081
predictive_accuracy
0.787081
predictive_accuracy
0.751196
predictive_accuracy
0.830144
predictive_accuracy
0.779904
predictive_accuracy
0.758373
predictive_accuracy
0.77512
predictive_accuracy
0.794258
predictive_accuracy
0.751196
predictive_accuracy
0.799043
predictive_accuracy
0.789474
predictive_accuracy
0.791866
predictive_accuracy
0.787081
predictive_accuracy
0.751196
predictive_accuracy
0.782297
predictive_accuracy
0.803828
predictive_accuracy
0.748804
predictive_accuracy
0.782297
predictive_accuracy
0.789474
predictive_accuracy
0.741627
predictive_accuracy
0.76555
predictive_accuracy
0.751196
predictive_accuracy
0.801435
predictive_accuracy
0.770335
predictive_accuracy
0.767943
predictive_accuracy
0.796651
predictive_accuracy
0.779904
predictive_accuracy
0.753589
predictive_accuracy
0.777512
predictive_accuracy
0.803828
predictive_accuracy
0.787081
predictive_accuracy
0.787081
predictive_accuracy
0.820574
predictive_accuracy
0.763158
predictive_accuracy
0.787081
predictive_accuracy
0.763158
predictive_accuracy
0.820574
predictive_accuracy
0.77512
predictive_accuracy
0.777512
predictive_accuracy
0.782297
predictive_accuracy
0.787081
predictive_accuracy
0.763158
predictive_accuracy
0.77512
predictive_accuracy
0.787081
predictive_accuracy
0.770335
predictive_accuracy
0.811005
predictive_accuracy
0.770335
predictive_accuracy
0.789474
predictive_accuracy
0.803828
predictive_accuracy
0.799043
predictive_accuracy
0.791866
predictive_accuracy
0.787081
predictive_accuracy
0.791866
predictive_accuracy
0.788969
predictive_accuracy
0.757794
predictive_accuracy
0.784173
predictive_accuracy
0.781775
predictive_accuracy
0.803357
predictive_accuracy
0.791367
predictive_accuracy
0.803357
predictive_accuracy
0.808153
predictive_accuracy
0.808153
predictive_accuracy
0.776978
predictive_accuracy
0.796163
predictive_accuracy
0.796163
predictive_accuracy
0.767386
predictive_accuracy
0.784173
predictive_accuracy
0.769784
predictive_accuracy
0.784173
predictive_accuracy
0.764988
predictive_accuracy
0.755396
predictive_accuracy
0.784173
predictive_accuracy
0.752998
predictive_accuracy
0.784173
predictive_accuracy
0.791367
predictive_accuracy
0.776978
predictive_accuracy
0.810552
predictive_accuracy
0.781775
predictive_accuracy
0.805755
predictive_accuracy
0.781775
predictive_accuracy
0.81295
predictive_accuracy
0.776978
predictive_accuracy
0.77458
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
recall
0.789474 [0.770335,0.808612]
recall
0.787081 [0.752381,0.822115]
recall
0.799043 [0.751196,0.84689]
recall
0.796651 [0.771429,0.822115]
recall
0.794258 [0.760766,0.827751]
recall
0.782297 [0.755981,0.808612]
recall
0.779904 [0.751196,0.808612]
recall
0.794258 [0.761905,0.826923]
recall
0.777512 [0.751196,0.803828]
recall
0.803828 [0.751196,0.856459]
recall
0.787081 [0.766667,0.807692]
recall
0.791866 [0.771429,0.8125]
recall
0.779904 [0.752381,0.807692]
recall
0.830144 [0.809524,0.850962]
recall
0.76555 [0.761905,0.769231]
recall
0.772727 [0.761905,0.783654]
recall
0.784689 [0.809524,0.759615]
recall
0.787081 [0.738095,0.836538]
recall
0.787081 [0.742857,0.831731]
recall
0.751196 [0.690476,0.8125]
recall
0.830144 [0.785714,0.875]
recall
0.779904 [0.766667,0.793269]
recall
0.758373 [0.780952,0.735577]
recall
0.77512 [0.766667,0.783654]
recall
0.794258 [0.757143,0.831731]
recall
0.751196 [0.728571,0.774038]
recall
0.799043 [0.780952,0.817308]
recall
0.789474 [0.790476,0.788462]
recall
0.791866 [0.766667,0.817308]
recall
0.787081 [0.742857,0.831731]
recall
0.751196 [0.690476,0.8125]
recall
0.782297 [0.757143,0.807692]
recall
0.803828 [0.752381,0.855769]
recall
0.748804 [0.709524,0.788462]
recall
0.782297 [0.747619,0.817308]
recall
0.789474 [0.761905,0.817308]
recall
0.741627 [0.738095,0.745192]
recall
0.76555 [0.728571,0.802885]
recall
0.751196 [0.709524,0.793269]
recall
0.801435 [0.785714,0.817308]
recall
0.770335 [0.771429,0.769231]
recall
0.767943 [0.785714,0.75]
recall
0.796651 [0.795238,0.798077]
recall
0.779904 [0.761905,0.798077]
recall
0.753589 [0.742857,0.764423]
recall
0.777512 [0.747619,0.807692]
recall
0.803828 [0.77619,0.831731]
recall
0.787081 [0.771429,0.802885]
recall
0.787081 [0.785714,0.788462]
recall
0.820574 [0.804762,0.836538]
recall
0.763158 [0.714286,0.8125]
recall
0.787081 [0.757143,0.817308]
recall
0.763158 [0.738095,0.788462]
recall
0.820574 [0.809524,0.831731]
recall
0.77512 [0.728571,0.822115]
recall
0.777512 [0.719048,0.836538]
recall
0.782297 [0.766667,0.798077]
recall
0.787081 [0.780952,0.793269]
recall
0.763158 [0.728571,0.798077]
recall
0.77512 [0.738095,0.8125]
recall
0.787081 [0.790476,0.783654]
recall
0.770335 [0.746411,0.794258]
recall
0.811005 [0.828571,0.793269]
recall
0.770335 [0.736842,0.803828]
recall
0.789474 [0.780952,0.798077]
recall
0.803828 [0.82381,0.783654]
recall
0.799043 [0.728571,0.870192]
recall
0.791866 [0.779904,0.803828]
recall
0.787081 [0.742857,0.831731]
recall
0.791866 [0.785714,0.798077]
recall
0.788969 [0.760766,0.817308]
recall
0.757794 [0.69378,0.822115]
recall
0.784173 [0.741627,0.826923]
recall
0.781775 [0.736842,0.826923]
recall
0.803357 [0.76555,0.841346]
recall
0.791367 [0.746411,0.836538]
recall
0.803357 [0.808612,0.798077]
recall
0.808153 [0.760766,0.855769]
recall
0.808153 [0.794258,0.822115]
recall
0.776978 [0.77512,0.778846]
recall
0.796163 [0.808612,0.783654]
recall
0.796163 [0.77512,0.817308]
recall
0.767386 [0.736842,0.798077]
recall
0.784173 [0.779904,0.788462]
recall
0.769784 [0.760766,0.778846]
recall
0.784173 [0.751196,0.817308]
recall
0.764988 [0.717703,0.8125]
recall
0.755396 [0.755981,0.754808]
recall
0.784173 [0.799043,0.769231]
recall
0.752998 [0.736842,0.769231]
recall
0.784173 [0.741627,0.826923]
recall
0.791367 [0.808612,0.774038]
recall
0.776978 [0.722488,0.831731]
recall
0.810552 [0.789474,0.831731]
recall
0.781775 [0.76555,0.798077]
recall
0.805755 [0.77512,0.836538]
recall
0.781775 [0.760766,0.802885]
recall
0.81295 [0.813397,0.8125]
recall
0.776978 [0.76555,0.788462]
recall
0.77458 [0.751196,0.798077]
relative_absolute_error
0.535942
relative_absolute_error
0.540421
relative_absolute_error
0.566532
relative_absolute_error
0.54279
relative_absolute_error
0.557357
relative_absolute_error
0.561281
relative_absolute_error
0.561188
relative_absolute_error
0.523388
relative_absolute_error
0.553468
relative_absolute_error
0.54008
relative_absolute_error
0.556557
relative_absolute_error
0.538402
relative_absolute_error
0.591188
relative_absolute_error
0.50479
relative_absolute_error
0.583437
relative_absolute_error
0.567159
relative_absolute_error
0.555066
relative_absolute_error
0.572232
relative_absolute_error
0.549499
relative_absolute_error
0.582299
relative_absolute_error
0.502385
relative_absolute_error
0.555655
relative_absolute_error
0.555232
relative_absolute_error
0.54776
relative_absolute_error
0.556324
relative_absolute_error
0.619375
relative_absolute_error
0.520305
relative_absolute_error
0.572163
relative_absolute_error
0.532567
relative_absolute_error
0.552543
relative_absolute_error
0.605984
relative_absolute_error
0.582299
relative_absolute_error
0.535234
relative_absolute_error
0.603799
relative_absolute_error
0.537651
relative_absolute_error
0.572549
relative_absolute_error
0.612346
relative_absolute_error
0.581634
relative_absolute_error
0.591321
relative_absolute_error
0.532314
relative_absolute_error
0.591414
relative_absolute_error
0.569997
relative_absolute_error
0.5363
relative_absolute_error
0.575578
relative_absolute_error
0.567963
relative_absolute_error
0.563384
relative_absolute_error
0.543308
relative_absolute_error
0.563093
relative_absolute_error
0.558695
relative_absolute_error
0.51205
relative_absolute_error
0.578851
relative_absolute_error
0.567736
relative_absolute_error
0.569473
relative_absolute_error
0.534647
relative_absolute_error
0.550433
relative_absolute_error
0.540659
relative_absolute_error
0.554595
relative_absolute_error
0.554985
relative_absolute_error
0.583559
relative_absolute_error
0.58185
relative_absolute_error
0.569966
relative_absolute_error
0.580466
relative_absolute_error
0.530429
relative_absolute_error
0.574435
relative_absolute_error
0.52729
relative_absolute_error
0.534784
relative_absolute_error
0.554757
relative_absolute_error
0.557641
relative_absolute_error
0.561548
relative_absolute_error
0.568731
relative_absolute_error
0.530416
relative_absolute_error
0.585794
relative_absolute_error
0.555772
relative_absolute_error
0.559289
relative_absolute_error
0.56667
relative_absolute_error
0.563428
relative_absolute_error
0.555621
relative_absolute_error
0.535061
relative_absolute_error
0.544135
relative_absolute_error
0.561837
relative_absolute_error
0.54289
relative_absolute_error
0.535794
relative_absolute_error
0.56782
relative_absolute_error
0.579963
relative_absolute_error
0.572034
relative_absolute_error
0.551194
relative_absolute_error
0.582952
relative_absolute_error
0.589665
relative_absolute_error
0.55261
relative_absolute_error
0.598134
relative_absolute_error
0.578958
relative_absolute_error
0.548524
relative_absolute_error
0.582848
relative_absolute_error
0.551606
relative_absolute_error
0.536097
relative_absolute_error
0.512142
relative_absolute_error
0.561853
relative_absolute_error
0.533155
relative_absolute_error
0.553743
relative_absolute_error
0.554367
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_squared_error
0.367274
root_mean_squared_error
0.378132
root_mean_squared_error
0.383443
root_mean_squared_error
0.375592
root_mean_squared_error
0.379074
root_mean_squared_error
0.386848
root_mean_squared_error
0.388731
root_mean_squared_error
0.372074
root_mean_squared_error
0.38272
root_mean_squared_error
0.362888
root_mean_squared_error
0.381954
root_mean_squared_error
0.379334
root_mean_squared_error
0.39897
root_mean_squared_error
0.349706
root_mean_squared_error
0.393535
root_mean_squared_error
0.387511
root_mean_squared_error
0.380343
root_mean_squared_error
0.388915
root_mean_squared_error
0.379661
root_mean_squared_error
0.399394
root_mean_squared_error
0.34703
root_mean_squared_error
0.379438
root_mean_squared_error
0.378756
root_mean_squared_error
0.383072
root_mean_squared_error
0.379789
root_mean_squared_error
0.419162
root_mean_squared_error
0.365872
root_mean_squared_error
0.387077
root_mean_squared_error
0.373299
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