336848
2
Joaquin Vanschoren
4312
Supervised Classification
predictive_accuracy
1082
weka.LMT(3)
1852
weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0
I
-1
1082
M
15
1082
W
0.0
1082
weka
weka_3.7.12
741
rmftsa_sleepdata
https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff
-1
1154995
description
https://api.openml.org/data/download/1154995/weka_generated_run7618772709893049446.xml
-1
1154998
model_readable
https://api.openml.org/data/download/1154998/WekaModel_weka.classifiers.trees.LMT7236108501088429933.model
-1
1154997
model_serialized
https://api.openml.org/data/download/1154997/WekaSerialized_weka.classifiers.trees.LMT742247191711455779.model
-1
1154996
predictions
https://api.openml.org/data/download/1154996/weka_generated_predictions3269205727172679631.arff
area_under_roc_curve
0.799518 [0.799518,0.799518]
average_cost
0
f_measure
0.737263 [0.733082,0.741396]
kappa
0.47453
kb_relative_information_score
3384.10632
mean_absolute_error
0.349576
mean_prior_absolute_error
0.499983
number_of_instances
10240 [5090,5150]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.737368 [0.740577,0.734196]
predictive_accuracy
0.737305
prior_entropy
0.999975
recall
0.737305 [0.725737,0.748738]
relative_absolute_error
0.699175
root_mean_prior_squared_error
0.499991
root_mean_squared_error
0.424888
root_relative_squared_error
0.84979
scimark_benchmark
1331.868165 [809.3924190983307, 997.3886993266503, 531.5553006960165, 1091.3572248632668, 3229.64718072965]
total_cost
0
usercpu_time_millis
190
usercpu_time_millis_testing
0
usercpu_time_millis_training
190
area_under_roc_curve
0.841063 [0.841063,0.841063]
area_under_roc_curve
0.755845 [0.755845,0.755845]
area_under_roc_curve
0.782051 [0.782051,0.782051]
area_under_roc_curve
0.809389 [0.809389,0.809389]
area_under_roc_curve
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area_under_roc_curve
0.884427 [0.884427,0.884427]
area_under_roc_curve
0.77319 [0.77319,0.77319]
area_under_roc_curve
0.845965 [0.845965,0.845965]
area_under_roc_curve
0.805995 [0.805995,0.805995]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.753017 [0.753017,0.753017]
area_under_roc_curve
0.782805 [0.782805,0.782805]
area_under_roc_curve
0.808258 [0.808258,0.808258]
area_under_roc_curve
0.812783 [0.812783,0.812783]
area_under_roc_curve
0.878582 [0.878582,0.878582]
area_under_roc_curve
0.817119 [0.817119,0.817119]
area_under_roc_curve
0.800716 [0.800716,0.800716]
area_under_roc_curve
0.789027 [0.789027,0.789027]
area_under_roc_curve
0.871983 [0.871983,0.871983]
area_under_roc_curve
0.782051 [0.782051,0.782051]
area_under_roc_curve
0.720211 [0.720211,0.720211]
area_under_roc_curve
0.813914 [0.813914,0.813914]
area_under_roc_curve
0.838989 [0.838989,0.838989]
area_under_roc_curve
0.78092 [0.78092,0.78092]
area_under_roc_curve
0.859351 [0.859351,0.859351]
area_under_roc_curve
0.78356 [0.78356,0.78356]
area_under_roc_curve
0.738688 [0.738688,0.738688]
area_under_roc_curve
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area_under_roc_curve
0.85954 [0.85954,0.85954]
area_under_roc_curve
0.857655 [0.857655,0.857655]
area_under_roc_curve
0.785068 [0.785068,0.785068]
area_under_roc_curve
0.839932 [0.839932,0.839932]
area_under_roc_curve
0.748303 [0.748303,0.748303]
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
0.801807 [0.801807,0.801807]
area_under_roc_curve
0.774038 [0.774038,0.774038]
area_under_roc_curve
0.848462 [0.848462,0.848462]
area_under_roc_curve
0.822568 [0.822568,0.822568]
area_under_roc_curve
0.790769 [0.790769,0.790769]
area_under_roc_curve
0.806538 [0.806538,0.806538]
area_under_roc_curve
0.827566 [0.827566,0.827566]
area_under_roc_curve
0.847943 [0.847943,0.847943]
area_under_roc_curve
0.753172 [0.753172,0.753172]
area_under_roc_curve
0.873895 [0.873895,0.873895]
area_under_roc_curve
0.688197 [0.688197,0.688197]
area_under_roc_curve
0.811611 [0.811611,0.811611]
area_under_roc_curve
0.796232 [0.796232,0.796232]
area_under_roc_curve
0.801423 [0.801423,0.801423]
area_under_roc_curve
0.798347 [0.798347,0.798347]
area_under_roc_curve
0.790465 [0.790465,0.790465]
area_under_roc_curve
0.83737 [0.83737,0.83737]
area_under_roc_curve
0.813149 [0.813149,0.813149]
area_under_roc_curve
0.816225 [0.816225,0.816225]
area_under_roc_curve
0.844098 [0.844098,0.844098]
area_under_roc_curve
0.852749 [0.852749,0.852749]
area_under_roc_curve
0.783929 [0.783929,0.783929]
area_under_roc_curve
0.820454 [0.820454,0.820454]
area_under_roc_curve
0.906574 [0.906574,0.906574]
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
0.842753 [0.842753,0.842753]
area_under_roc_curve
0.787582 [0.787582,0.787582]
area_under_roc_curve
0.787582 [0.787582,0.787582]
area_under_roc_curve
0.70223 [0.70223,0.70223]
area_under_roc_curve
0.875433 [0.875433,0.875433]
area_under_roc_curve
0.831795 [0.831795,0.831795]
area_under_roc_curve
0.712995 [0.712995,0.712995]
area_under_roc_curve
0.768551 [0.768551,0.768551]
area_under_roc_curve
0.775279 [0.775279,0.775279]
area_under_roc_curve
0.895233 [0.895233,0.895233]
area_under_roc_curve
0.705882 [0.705882,0.705882]
area_under_roc_curve
0.831795 [0.831795,0.831795]
area_under_roc_curve
0.775279 [0.775279,0.775279]
area_under_roc_curve
0.832564 [0.832564,0.832564]
area_under_roc_curve
0.830834 [0.830834,0.830834]
area_under_roc_curve
0.826221 [0.826221,0.826221]
area_under_roc_curve
0.812572 [0.812572,0.812572]
area_under_roc_curve
0.739715 [0.739715,0.739715]
area_under_roc_curve
0.804038 [0.804038,0.804038]
area_under_roc_curve
0.792692 [0.792692,0.792692]
area_under_roc_curve
0.859038 [0.859038,0.859038]
area_under_roc_curve
0.782968 [0.782968,0.782968]
area_under_roc_curve
0.836794 [0.836794,0.836794]
area_under_roc_curve
0.857308 [0.857308,0.857308]
area_under_roc_curve
0.774125 [0.774125,0.774125]
area_under_roc_curve
0.798731 [0.798731,0.798731]
area_under_roc_curve
0.85 [0.85,0.85]
area_under_roc_curve
0.722885 [0.722885,0.722885]
average_cost
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average_cost
0
average_cost
0
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0
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0
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f_measure
0.73712 [0.721649,0.752294]
f_measure
0.66859 [0.645833,0.690909]
f_measure
0.735619 [0.709677,0.761062]
f_measure
0.735619 [0.709677,0.761062]
f_measure
0.698461 [0.71028,0.686869]
f_measure
0.805715 [0.8,0.811321]
f_measure
0.747525 [0.75,0.745098]
f_measure
0.745415 [0.767857,0.723404]
f_measure
0.718128 [0.707071,0.728972]
f_measure
0.678339 [0.697248,0.659794]
f_measure
0.786004 [0.77551,0.796296]
f_measure
0.716951 [0.694737,0.738739]
f_measure
0.786287 [0.78,0.792453]
f_measure
0.638324 [0.666667,0.610526]
f_measure
0.747573 [0.745098,0.75]
f_measure
0.669841 [0.673077,0.666667]
f_measure
0.71007 [0.658824,0.760331]
f_measure
0.764546 [0.73913,0.789474]
f_measure
0.698972 [0.693069,0.704762]
f_measure
0.766727 [0.773585,0.76]
f_measure
0.74743 [0.74,0.754717]
f_measure
0.746569 [0.729167,0.763636]
f_measure
0.689262 [0.692308,0.686275]
f_measure
0.815325 [0.808081,0.82243]
f_measure
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f_measure
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f_measure
0.698175 [0.680412,0.715596]
f_measure
0.776699 [0.776699,0.776699]
f_measure
0.708573 [0.7,0.716981]
f_measure
0.76633 [0.777778,0.755102]
f_measure
0.708683 [0.711538,0.705882]
f_measure
0.66013 [0.653465,0.666667]
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
0.745 [0.75,0.74]
f_measure
0.794098 [0.792079,0.796117]
f_measure
0.666538 [0.66,0.673077]
f_measure
0.754878 [0.752475,0.757282]
f_measure
0.745098 [0.745098,0.745098]
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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33.90421
kb_relative_information_score
24.399738
kb_relative_information_score
33.736337
kb_relative_information_score
41.230988
kb_relative_information_score
41.136295
kb_relative_information_score
33.801864
kb_relative_information_score
39.455273
kb_relative_information_score
28.186993
kb_relative_information_score
31.84915
kb_relative_information_score
43.775035
kb_relative_information_score
38.967366
kb_relative_information_score
33.420855
kb_relative_information_score
32.761502
kb_relative_information_score
30.69314
kb_relative_information_score
37.371764
kb_relative_information_score
35.624129
kb_relative_information_score
35.084022
kb_relative_information_score
33.876325
kb_relative_information_score
35.680478
kb_relative_information_score
36.543006
kb_relative_information_score
28.215264
kb_relative_information_score
41.097607
kb_relative_information_score
24.4174
kb_relative_information_score
34.085757
kb_relative_information_score
32.91602
kb_relative_information_score
33.763502
kb_relative_information_score
35.177249
kb_relative_information_score
25.753635
kb_relative_information_score
39.366793
kb_relative_information_score
36.15362
kb_relative_information_score
33.376921
kb_relative_information_score
38.404219
kb_relative_information_score
39.168864
kb_relative_information_score
32.549308
kb_relative_information_score
34.67178
kb_relative_information_score
46.887784
kb_relative_information_score
27.023191
kb_relative_information_score
28.901278
kb_relative_information_score
35.527254
kb_relative_information_score
29.91708
kb_relative_information_score
34.392239
kb_relative_information_score
24.692514
kb_relative_information_score
39.576656
kb_relative_information_score
31.035458
kb_relative_information_score
31.2073
kb_relative_information_score
21.511592
kb_relative_information_score
41.330729
kb_relative_information_score
40.571062
kb_relative_information_score
22.396693
kb_relative_information_score
30.360832
kb_relative_information_score
28.162995
kb_relative_information_score
44.792696
kb_relative_information_score
23.362743
kb_relative_information_score
37.531901
kb_relative_information_score
29.841612
kb_relative_information_score
37.321411
kb_relative_information_score
37.711494
kb_relative_information_score
39.854076
kb_relative_information_score
33.708175
kb_relative_information_score
28.038515
kb_relative_information_score
35.650841
kb_relative_information_score
31.644373
kb_relative_information_score
40.190046
kb_relative_information_score
29.326203
kb_relative_information_score
37.365775
kb_relative_information_score
39.19734
kb_relative_information_score
29.063675
kb_relative_information_score
31.582363
kb_relative_information_score
39.202972
kb_relative_information_score
24.781161
mean_absolute_error
0.338889
mean_absolute_error
0.369304
mean_absolute_error
0.35852
mean_absolute_error
0.33705
mean_absolute_error
0.359874
mean_absolute_error
0.323887
mean_absolute_error
0.362865
mean_absolute_error
0.325084
mean_absolute_error
0.354803
mean_absolute_error
0.370661
mean_absolute_error
0.35519
mean_absolute_error
0.362907
mean_absolute_error
0.326929
mean_absolute_error
0.385915
mean_absolute_error
0.348744
mean_absolute_error
0.368742
mean_absolute_error
0.377714
mean_absolute_error
0.35531
mean_absolute_error
0.355087
mean_absolute_error
0.313065
mean_absolute_error
0.342012
mean_absolute_error
0.347826
mean_absolute_error
0.357175
mean_absolute_error
0.318613
mean_absolute_error
0.353858
mean_absolute_error
0.38994
mean_absolute_error
0.359697
mean_absolute_error
0.327451
mean_absolute_error
0.36255
mean_absolute_error
0.31972
mean_absolute_error
0.347931
mean_absolute_error
0.390653
mean_absolute_error
0.349226
mean_absolute_error
0.319267
mean_absolute_error
0.319811
mean_absolute_error
0.35108
mean_absolute_error
0.322246
mean_absolute_error
0.375347
mean_absolute_error
0.358725
mean_absolute_error
0.307161
mean_absolute_error
0.328368
mean_absolute_error
0.350356
mean_absolute_error
0.354724
mean_absolute_error
0.363134
mean_absolute_error
0.331558
mean_absolute_error
0.341126
mean_absolute_error
0.34348
mean_absolute_error
0.345958
mean_absolute_error
0.341996
mean_absolute_error
0.3383
mean_absolute_error
0.376369
mean_absolute_error
0.318308
mean_absolute_error
0.389947
mean_absolute_error
0.348094
mean_absolute_error
0.354396
mean_absolute_error
0.349226
mean_absolute_error
0.342097
mean_absolute_error
0.386961
mean_absolute_error
0.323864
mean_absolute_error
0.338956
mean_absolute_error
0.350028
mean_absolute_error
0.326755
mean_absolute_error
0.325198
mean_absolute_error
0.35399
mean_absolute_error
0.345834
mean_absolute_error
0.293945
mean_absolute_error
0.379146
mean_absolute_error
0.372053
mean_absolute_error
0.341668
mean_absolute_error
0.367048
mean_absolute_error
0.346636
mean_absolute_error
0.388605
mean_absolute_error
0.325536
mean_absolute_error
0.36072
mean_absolute_error
0.362463
mean_absolute_error
0.403402
mean_absolute_error
0.317438
mean_absolute_error
0.320627
mean_absolute_error
0.39993
mean_absolute_error
0.361443
mean_absolute_error
0.373307
mean_absolute_error
0.301403
mean_absolute_error
0.395865
mean_absolute_error
0.334788
mean_absolute_error
0.365381
mean_absolute_error
0.333789
mean_absolute_error
0.333413
mean_absolute_error
0.322038
mean_absolute_error
0.349362
mean_absolute_error
0.375624
mean_absolute_error
0.342064
mean_absolute_error
0.361338
mean_absolute_error
0.322971
mean_absolute_error
0.366719
mean_absolute_error
0.335418
mean_absolute_error
0.326777
mean_absolute_error
0.367887
mean_absolute_error
0.356955
mean_absolute_error
0.324134
mean_absolute_error
0.387932
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
precision
0.739882 [0.76087,0.719298]
precision
0.671867 [0.688889,0.655172]
precision
0.744924 [0.785714,0.704918]
precision
0.744924 [0.785714,0.704918]
precision
0.701205 [0.678571,0.723404]
precision
0.806214 [0.816327,0.796296]
precision
0.748042 [0.735849,0.76]
precision
0.757729 [0.704918,0.809524]
precision
0.719031 [0.729167,0.709091]
precision
0.683413 [0.655172,0.711111]
precision
0.787987 [0.808511,0.767857]
precision
0.72219 [0.75,0.694915]
precision
0.78676 [0.795918,0.777778]
precision
0.645823 [0.616667,0.674419]
precision
0.747573 [0.745098,0.75]
precision
0.670284 [0.660377,0.68]
precision
0.744337 [0.823529,0.666667]
precision
0.777035 [0.829268,0.725806]
precision
0.699047 [0.7,0.698113]
precision
0.768785 [0.745455,0.791667]
precision
0.747852 [0.755102,0.740741]
precision
0.750697 [0.777778,0.724138]
precision
0.689723 [0.679245,0.7]
precision
0.816505 [0.833333,0.8]
precision
0.719031 [0.729167,0.709091]
precision
0.650844 [0.641509,0.66]
precision
0.70064 [0.717391,0.684211]
precision
0.776845 [0.769231,0.784314]
precision
0.708943 [0.714286,0.703704]
precision
0.770923 [0.736842,0.804348]
precision
0.709163 [0.698113,0.72]
precision
0.660191 [0.66,0.660377]
precision
0.719349 [0.703704,0.734694]
precision
0.796267 [0.788462,0.803922]
precision
0.817474 [0.878049,0.758065]
precision
0.738003 [0.730769,0.745098]
precision
0.748886 [0.765957,0.732143]
precision
0.68932 [0.686275,0.692308]
precision
0.740665 [0.794872,0.6875]
precision
0.806214 [0.816327,0.796296]
precision
0.805803 [0.781818,0.829787]
precision
0.722619 [0.761905,0.683333]
precision
0.735385 [0.74,0.730769]
precision
0.726048 [0.711538,0.74]
precision
0.735283 [0.734694,0.735849]
precision
0.751281 [0.790698,0.711864]
precision
0.746225 [0.76087,0.732143]
precision
0.706425 [0.692308,0.72]
precision
0.768421 [0.736842,0.8]
precision
0.755 [0.76,0.75]
precision
0.745476 [0.735849,0.755102]
precision
0.794231 [0.8,0.788462]
precision
0.666923 [0.673469,0.660377]
precision
0.755 [0.76,0.75]
precision
0.745098 [0.745098,0.745098]
precision
0.748538 [0.777778,0.719298]
precision
0.745476 [0.755102,0.735849]
precision
0.688734 [0.736842,0.640625]
precision
0.755 [0.75,0.76]
precision
0.765114 [0.77551,0.754717]
precision
0.735385 [0.74,0.730769]
precision
0.757376 [0.732143,0.782609]
precision
0.746615 [0.765957,0.727273]
precision
0.707157 [0.690909,0.723404]
precision
0.768421 [0.736842,0.8]
precision
0.856366 [0.891304,0.821429]
precision
0.693723 [0.655738,0.731707]
precision
0.72549 [0.72549,0.72549]
precision
0.764706 [0.764706,0.764706]
precision
0.728655 [0.755556,0.701754]
precision
0.763095 [0.809524,0.716667]
precision
0.658385 [0.642857,0.673913]
precision
0.808187 [0.77193,0.844444]
precision
0.728655 [0.755556,0.701754]
precision
0.751281 [0.790698,0.711864]
precision
0.666667 [0.666667,0.666667]
precision
0.813846 [0.82,0.807692]
precision
0.805803 [0.829787,0.781818]
precision
0.663113 [0.714286,0.61194]
precision
0.687427 [0.672727,0.702128]
precision
0.697981 [0.678571,0.717391]
precision
0.824028 [0.836735,0.811321]
precision
0.687427 [0.672727,0.702128]
precision
0.794231 [0.788462,0.8]
precision
0.705645 [0.66129,0.75]
precision
0.751281 [0.711864,0.790698]
precision
0.774615 [0.769231,0.78]
precision
0.774615 [0.78,0.769231]
precision
0.755787 [0.740741,0.770833]
precision
0.699843 [0.672414,0.727273]
precision
0.755094 [0.745098,0.764706]
precision
0.745671 [0.730769,0.76]
precision
0.807748 [0.840909,0.775862]
precision
0.677083 [0.6875,0.666667]
precision
0.774615 [0.769231,0.78]
precision
0.80454 [0.788462,0.82]
precision
0.677083 [0.6875,0.666667]
precision
0.715769 [0.711538,0.72]
precision
0.782589 [0.829268,0.737705]
precision
0.67671 [0.680851,0.672727]
predictive_accuracy
0.737864
predictive_accuracy
0.669903
predictive_accuracy
0.737864
predictive_accuracy
0.737864
predictive_accuracy
0.699029
predictive_accuracy
0.805825
predictive_accuracy
0.747573
predictive_accuracy
0.747573
predictive_accuracy
0.718447
predictive_accuracy
0.679612
predictive_accuracy
0.786408
predictive_accuracy
0.718447
predictive_accuracy
0.786408
predictive_accuracy
0.640777
predictive_accuracy
0.747573
predictive_accuracy
0.669903
predictive_accuracy
0.718447
predictive_accuracy
0.76699
predictive_accuracy
0.699029
predictive_accuracy
0.76699
predictive_accuracy
0.747573
predictive_accuracy
0.747573
predictive_accuracy
0.68932
predictive_accuracy
0.815534
predictive_accuracy
0.718447
predictive_accuracy
0.650485
predictive_accuracy
0.699029
predictive_accuracy
0.776699
predictive_accuracy
0.708738
predictive_accuracy
0.76699
predictive_accuracy
0.708738
predictive_accuracy
0.660194
predictive_accuracy
0.718447
predictive_accuracy
0.796117
predictive_accuracy
0.805825
predictive_accuracy
0.737864
predictive_accuracy
0.747573
predictive_accuracy
0.68932
predictive_accuracy
0.728155
predictive_accuracy
0.805825
predictive_accuracy
0.803922
predictive_accuracy
0.715686
predictive_accuracy
0.735294
predictive_accuracy
0.72549
predictive_accuracy
0.735294
predictive_accuracy
0.745098
predictive_accuracy
0.745098
predictive_accuracy
0.705882
predictive_accuracy
0.764706
predictive_accuracy
0.754902
predictive_accuracy
0.745098
predictive_accuracy
0.794118
predictive_accuracy
0.666667
predictive_accuracy
0.754902
predictive_accuracy
0.745098
predictive_accuracy
0.745098
predictive_accuracy
0.745098
predictive_accuracy
0.676471
predictive_accuracy
0.754902
predictive_accuracy
0.764706
predictive_accuracy
0.735294
predictive_accuracy
0.754902
predictive_accuracy
0.745098
predictive_accuracy
0.705882
predictive_accuracy
0.764706
predictive_accuracy
0.852941
predictive_accuracy
0.686275
predictive_accuracy
0.72549
predictive_accuracy
0.764706
predictive_accuracy
0.72549
predictive_accuracy
0.754902
predictive_accuracy
0.656863
predictive_accuracy
0.803922
predictive_accuracy
0.72549
predictive_accuracy
0.745098
predictive_accuracy
0.666667
predictive_accuracy
0.813725
predictive_accuracy
0.803922
predictive_accuracy
0.647059
predictive_accuracy
0.686275
predictive_accuracy
0.696078
predictive_accuracy
0.823529
predictive_accuracy
0.686275
predictive_accuracy
0.794118
predictive_accuracy
0.696078
predictive_accuracy
0.745098
predictive_accuracy
0.77451
predictive_accuracy
0.77451
predictive_accuracy
0.754902
predictive_accuracy
0.696078
predictive_accuracy
0.754902
predictive_accuracy
0.745098
predictive_accuracy
0.803922
predictive_accuracy
0.676471
predictive_accuracy
0.77451
predictive_accuracy
0.803922
predictive_accuracy
0.676471
predictive_accuracy
0.715686
predictive_accuracy
0.77451
predictive_accuracy
0.676471
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
recall
0.737864 [0.686275,0.788462]
recall
0.669903 [0.607843,0.730769]
recall
0.737864 [0.647059,0.826923]
recall
0.737864 [0.647059,0.826923]
recall
0.699029 [0.745098,0.653846]
recall
0.805825 [0.784314,0.826923]
recall
0.747573 [0.764706,0.730769]
recall
0.747573 [0.843137,0.653846]
recall
0.718447 [0.686275,0.75]
recall
0.679612 [0.745098,0.615385]
recall
0.786408 [0.745098,0.826923]
recall
0.718447 [0.647059,0.788462]
recall
0.786408 [0.764706,0.807692]
recall
0.640777 [0.72549,0.557692]
recall
0.747573 [0.745098,0.75]
recall
0.669903 [0.686275,0.653846]
recall
0.718447 [0.54902,0.884615]
recall
0.76699 [0.666667,0.865385]
recall
0.699029 [0.686275,0.711538]
recall
0.76699 [0.803922,0.730769]
recall
0.747573 [0.72549,0.769231]
recall
0.747573 [0.686275,0.807692]
recall
0.68932 [0.705882,0.673077]
recall
0.815534 [0.784314,0.846154]
recall
0.718447 [0.686275,0.75]
recall
0.650485 [0.666667,0.634615]
recall
0.699029 [0.647059,0.75]
recall
0.776699 [0.784314,0.769231]
recall
0.708738 [0.686275,0.730769]
recall
0.76699 [0.823529,0.711538]
recall
0.708738 [0.72549,0.692308]
recall
0.660194 [0.647059,0.673077]
recall
0.718447 [0.745098,0.692308]
recall
0.796117 [0.803922,0.788462]
recall
0.805825 [0.705882,0.903846]
recall
0.737864 [0.745098,0.730769]
recall
0.747573 [0.705882,0.788462]
recall
0.68932 [0.686275,0.692308]
recall
0.728155 [0.607843,0.846154]
recall
0.805825 [0.784314,0.826923]
recall
0.803922 [0.843137,0.764706]
recall
0.715686 [0.627451,0.803922]
recall
0.735294 [0.72549,0.745098]
recall
0.72549 [0.74,0.711538]
recall
0.735294 [0.72,0.75]
recall
0.745098 [0.666667,0.823529]
recall
0.745098 [0.7,0.788462]
recall
0.705882 [0.72,0.692308]
recall
0.764706 [0.823529,0.705882]
recall
0.754902 [0.745098,0.764706]
recall
0.745098 [0.764706,0.72549]
recall
0.794118 [0.784314,0.803922]
recall
0.666667 [0.647059,0.686275]
recall
0.754902 [0.745098,0.764706]
recall
0.745098 [0.745098,0.745098]
recall
0.745098 [0.686275,0.803922]
recall
0.745098 [0.72549,0.764706]
recall
0.676471 [0.54902,0.803922]
recall
0.754902 [0.764706,0.745098]
recall
0.764706 [0.745098,0.784314]
recall
0.735294 [0.72549,0.745098]
recall
0.754902 [0.803922,0.705882]
recall
0.745098 [0.705882,0.784314]
recall
0.705882 [0.745098,0.666667]
recall
0.764706 [0.823529,0.705882]
recall
0.852941 [0.803922,0.901961]
recall
0.686275 [0.784314,0.588235]
recall
0.72549 [0.72549,0.72549]
recall
0.764706 [0.764706,0.764706]
recall
0.72549 [0.666667,0.784314]
recall
0.754902 [0.666667,0.843137]
recall
0.656863 [0.705882,0.607843]
recall
0.803922 [0.862745,0.745098]
recall
0.72549 [0.666667,0.784314]
recall
0.745098 [0.666667,0.823529]
recall
0.666667 [0.666667,0.666667]
recall
0.813725 [0.803922,0.823529]
recall
0.803922 [0.764706,0.843137]
recall
0.647059 [0.490196,0.803922]
recall
0.686275 [0.72549,0.647059]
recall
0.696078 [0.745098,0.647059]
recall
0.823529 [0.803922,0.843137]
recall
0.686275 [0.72549,0.647059]
recall
0.794118 [0.803922,0.784314]
recall
0.696078 [0.803922,0.588235]
recall
0.745098 [0.823529,0.666667]
recall
0.77451 [0.784314,0.764706]
recall
0.77451 [0.764706,0.784314]
recall
0.754902 [0.784314,0.72549]
recall
0.696078 [0.764706,0.627451]
recall
0.754902 [0.76,0.75]
recall
0.745098 [0.76,0.730769]
recall
0.803922 [0.74,0.865385]
recall
0.676471 [0.647059,0.705882]
recall
0.77451 [0.784314,0.764706]
recall
0.803922 [0.82,0.788462]
recall
0.676471 [0.647059,0.705882]
recall
0.715686 [0.72549,0.705882]
recall
0.77451 [0.68,0.865385]
recall
0.676471 [0.64,0.711538]
relative_absolute_error
0.677817
relative_absolute_error
0.738651
relative_absolute_error
0.71708
relative_absolute_error
0.674137
relative_absolute_error
0.719789
relative_absolute_error
0.647811
relative_absolute_error
0.72577
relative_absolute_error
0.650204
relative_absolute_error
0.709647
relative_absolute_error
0.741363
relative_absolute_error
0.710421
relative_absolute_error
0.725855
relative_absolute_error
0.653895
relative_absolute_error
0.771874
relative_absolute_error
0.697528
relative_absolute_error
0.737527
relative_absolute_error
0.75547
relative_absolute_error
0.710661
relative_absolute_error
0.710215
relative_absolute_error
0.626166
relative_absolute_error
0.684062
relative_absolute_error
0.695691
relative_absolute_error
0.71439
relative_absolute_error
0.637261
relative_absolute_error
0.707757
relative_absolute_error
0.779924
relative_absolute_error
0.719435
relative_absolute_error
0.654939
relative_absolute_error
0.72514
relative_absolute_error
0.639476
relative_absolute_error
0.695902
relative_absolute_error
0.781351
relative_absolute_error
0.698492
relative_absolute_error
0.63857
relative_absolute_error
0.639659
relative_absolute_error
0.702199
relative_absolute_error
0.644529
relative_absolute_error
0.750736
relative_absolute_error
0.71749
relative_absolute_error
0.614357
relative_absolute_error
0.656736
relative_absolute_error
0.700711
relative_absolute_error
0.709448
relative_absolute_error
0.726351
relative_absolute_error
0.663192
relative_absolute_error
0.682252
relative_absolute_error
0.687039
relative_absolute_error
0.691996
relative_absolute_error
0.683993
relative_absolute_error
0.676601
relative_absolute_error
0.752738
relative_absolute_error
0.636615
relative_absolute_error
0.779893
relative_absolute_error
0.696189
relative_absolute_error
0.708791
relative_absolute_error
0.698452
relative_absolute_error
0.684194
relative_absolute_error
0.773923
relative_absolute_error
0.647728
relative_absolute_error
0.677912
relative_absolute_error
0.700056
relative_absolute_error
0.65351
relative_absolute_error
0.650396
relative_absolute_error
0.70798
relative_absolute_error
0.691667
relative_absolute_error
0.587891
relative_absolute_error
0.758292
relative_absolute_error
0.744107
relative_absolute_error
0.683337
relative_absolute_error
0.734096
relative_absolute_error
0.693271
relative_absolute_error
0.777209
relative_absolute_error
0.651071
relative_absolute_error
0.721441
relative_absolute_error
0.724925
relative_absolute_error
0.806804
relative_absolute_error
0.634877
relative_absolute_error
0.641253
relative_absolute_error
0.799861
relative_absolute_error
0.722886
relative_absolute_error
0.746614
relative_absolute_error
0.602806
relative_absolute_error
0.79173
relative_absolute_error
0.669577
relative_absolute_error
0.730763
relative_absolute_error
0.667579
relative_absolute_error
0.666826
relative_absolute_error
0.644075
relative_absolute_error
0.698724
relative_absolute_error
0.751248
relative_absolute_error
0.684207
relative_absolute_error
0.72276
relative_absolute_error
0.646017
relative_absolute_error
0.733438
relative_absolute_error
0.670836
relative_absolute_error
0.653629
relative_absolute_error
0.735774
relative_absolute_error
0.71391
relative_absolute_error
0.648342
relative_absolute_error
0.775953
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_squared_error
0.404261
root_mean_squared_error
0.460736
root_mean_squared_error
0.434662
root_mean_squared_error
0.429416
root_mean_squared_error
0.44512
root_mean_squared_error
0.377859
root_mean_squared_error
0.436248
root_mean_squared_error
0.406068
root_mean_squared_error
0.424505
root_mean_squared_error
0.45173
root_mean_squared_error
0.423751
root_mean_squared_error
0.437497
root_mean_squared_error
0.390469
root_mean_squared_error
0.474163
root_mean_squared_error
0.429394
root_mean_squared_error
0.458011
root_mean_squared_error
0.435912
root_mean_squared_error
0.424493
root_mean_squared_error
0.418685
root_mean_squared_error
0.380165
root_mean_squared_error
0.414467
root_mean_squared_error
0.423591
root_mean_squared_error
0.441246
root_mean_squared_error
0.380459
root_mean_squared_error
0.435056
root_mean_squared_error
0.475977
root_mean_squared_error
0.42115
root_mean_squared_error
0.401135
root_mean_squared_error
0.438501
root_mean_squared_error
0.391202
root_mean_squared_error
0.437063
root_mean_squared_error
0.47358
root_mean_squared_error
0.432973
root_mean_squared_error
0.386058
root_mean_squared_error
0.389538
root_mean_squared_error
0.433038
root_mean_squared_error
0.406122
root_mean_squared_error
0.452702
root_mean_squared_error
0.43042
root_mean_squared_error
0.362475
root_mean_squared_error
0.400222
root_mean_squared_error
0.426099
root_mean_squared_error
0.425151
root_mean_squared_error
0.445687
root_mean_squared_error
0.403387
root_mean_squared_error
0.411608
root_mean_squared_error
0.421481
root_mean_squared_error
0.428509
root_mean_squared_error
0.410187
root_mean_squared_error
0.403372
root_mean_squared_error
0.454348
root_mean_squared_error
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