466100
2
Joaquin Vanschoren
1911
Supervised Classification
predictive_accuracy
1174
weka.KernelLogisticRegression_RBFKernel(1)
2016
weka.classifiers.functions.KernelLogisticRegression -- -S 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.01 -C 250007" -L 0.01 -P 1 -E 1
S
1
1174
K
weka.classifiers.functions.supportVector.RBFKernel
1174
L
0.01
1174
P
1
1174
E
1
1174
G
0.01
1175
C
250007
1175
weka
weka_3.7.12
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
1639371
description
https://api.openml.org/data/download/1639371/weka_generated_run4962123708999765882.xml
-1
1639374
model_readable
https://api.openml.org/data/download/1639374/WekaModel_weka.classifiers.functions.KernelLogisticRegression3762843091549745389.model
-1
1639373
model_serialized
https://api.openml.org/data/download/1639373/WekaSerialized_weka.classifiers.functions.KernelLogisticRegression5468680390833358101.model
-1
1639372
predictions
https://api.openml.org/data/download/1639372/weka_generated_predictions4553865131406194456.arff
area_under_roc_curve
0.779246 [0.779246,0.779246]
average_cost
0
f_measure
0.752708 [0.835417,0.559721]
kappa
0.397506
kb_relative_information_score
2939.040334
mean_absolute_error
0.287949
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
0.750305 [0.804578,0.623669]
predictive_accuracy
0.7604
prior_entropy
0.881778
recall
0.7604 [0.868714,0.507667]
relative_absolute_error
0.685333
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.414996
root_relative_squared_error
0.905596
scimark_benchmark
943.8235 [549.194176949874, 1014.7208839634673, 481.9307652369574, 909.2750931850325, 1763.996579689319]
total_cost
0
usercpu_time_millis
40180
usercpu_time_millis_testing
810
usercpu_time_millis_training
39370
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0.816667 [0.816667,0.816667]
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area_under_roc_curve
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area_under_roc_curve
0.814286 [0.814286,0.814286]
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0.775238 [0.775238,0.775238]
area_under_roc_curve
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area_under_roc_curve
0.735238 [0.735238,0.735238]
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
0.705238 [0.705238,0.705238]
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
0.789524 [0.789524,0.789524]
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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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
0.712857 [0.712857,0.712857]
area_under_roc_curve
0.724762 [0.724762,0.724762]
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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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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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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area_under_roc_curve
0.869524 [0.869524,0.869524]
area_under_roc_curve
0.789048 [0.789048,0.789048]
area_under_roc_curve
0.682381 [0.682381,0.682381]
area_under_roc_curve
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area_under_roc_curve
0.781429 [0.781429,0.781429]
area_under_roc_curve
0.824286 [0.824286,0.824286]
area_under_roc_curve
0.838095 [0.838095,0.838095]
area_under_roc_curve
0.801429 [0.801429,0.801429]
area_under_roc_curve
0.742381 [0.742381,0.742381]
area_under_roc_curve
0.726667 [0.726667,0.726667]
area_under_roc_curve
0.784762 [0.784762,0.784762]
area_under_roc_curve
0.724762 [0.724762,0.724762]
area_under_roc_curve
0.840476 [0.840476,0.840476]
area_under_roc_curve
0.767619 [0.767619,0.767619]
area_under_roc_curve
0.821905 [0.821905,0.821905]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.739524 [0.739524,0.739524]
area_under_roc_curve
0.80619 [0.80619,0.80619]
area_under_roc_curve
0.807143 [0.807143,0.807143]
area_under_roc_curve
0.760476 [0.760476,0.760476]
area_under_roc_curve
0.75381 [0.75381,0.75381]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.795714 [0.795714,0.795714]
area_under_roc_curve
0.800476 [0.800476,0.800476]
area_under_roc_curve
0.792857 [0.792857,0.792857]
average_cost
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f_measure
0.801977 [0.870748,0.641509]
f_measure
0.69694 [0.788732,0.482759]
f_measure
0.727027 [0.824324,0.5]
f_measure
0.728669 [0.808511,0.542373]
f_measure
0.810874 [0.863309,0.688525]
f_measure
0.792998 [0.863014,0.62963]
f_measure
0.801977 [0.870748,0.641509]
f_measure
0.811019 [0.878378,0.653846]
f_measure
0.718598 [0.816327,0.490566]
f_measure
0.763511 [0.841379,0.581818]
f_measure
0.697754 [0.802721,0.45283]
f_measure
0.761184 [0.855263,0.541667]
f_measure
0.748025 [0.837838,0.538462]
f_measure
0.742947 [0.827586,0.545455]
f_measure
0.754762 [0.833333,0.571429]
f_measure
0.752561 [0.847682,0.530612]
f_measure
0.757552 [0.830986,0.586207]
f_measure
0.726046 [0.836601,0.468085]
f_measure
0.763511 [0.841379,0.581818]
f_measure
0.734325 [0.819444,0.535714]
f_measure
0.769023 [0.851351,0.576923]
f_measure
0.701818 [0.8,0.472727]
f_measure
0.748768 [0.822695,0.576271]
f_measure
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f_measure
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f_measure
0.822978 [0.867647,0.71875]
f_measure
0.725727 [0.811189,0.526316]
f_measure
0.713889 [0.805556,0.5]
f_measure
0.765333 [0.853333,0.56]
f_measure
0.763511 [0.841379,0.581818]
f_measure
0.777756 [0.84507,0.62069]
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
0.795594 [0.874172,0.612245]
f_measure
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f_measure
0.722382 [0.813793,0.509091]
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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
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35.849083
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28.503918
kb_relative_information_score
27.747532
kb_relative_information_score
30.141906
kb_relative_information_score
23.135464
kb_relative_information_score
32.423754
kb_relative_information_score
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kb_relative_information_score
27.975779
kb_relative_information_score
29.707913
kb_relative_information_score
18.267739
kb_relative_information_score
32.229925
kb_relative_information_score
25.261601
kb_relative_information_score
26.849515
kb_relative_information_score
29.516427
kb_relative_information_score
34.434619
kb_relative_information_score
26.962863
kb_relative_information_score
32.126025
kb_relative_information_score
29.682866
kb_relative_information_score
31.492328
kb_relative_information_score
38.080821
kb_relative_information_score
22.83226
kb_relative_information_score
28.667312
kb_relative_information_score
39.273798
kb_relative_information_score
33.085737
kb_relative_information_score
28.55748
kb_relative_information_score
23.296375
kb_relative_information_score
26.584375
kb_relative_information_score
32.770102
kb_relative_information_score
29.888059
kb_relative_information_score
26.274708
kb_relative_information_score
25.092327
kb_relative_information_score
32.632295
kb_relative_information_score
30.40485
kb_relative_information_score
27.412689
kb_relative_information_score
20.189801
kb_relative_information_score
36.989292
kb_relative_information_score
19.09562
kb_relative_information_score
25.533128
kb_relative_information_score
31.608022
kb_relative_information_score
26.265622
kb_relative_information_score
27.510059
kb_relative_information_score
34.76161
kb_relative_information_score
25.569131
kb_relative_information_score
32.370855
kb_relative_information_score
32.480763
kb_relative_information_score
24.780847
kb_relative_information_score
26.857297
kb_relative_information_score
29.365926
kb_relative_information_score
30.056312
kb_relative_information_score
41.422771
kb_relative_information_score
19.379766
kb_relative_information_score
37.898353
kb_relative_information_score
33.493968
kb_relative_information_score
42.295276
kb_relative_information_score
18.181588
kb_relative_information_score
31.040823
kb_relative_information_score
27.175046
kb_relative_information_score
23.224586
kb_relative_information_score
40.555699
kb_relative_information_score
25.916412
kb_relative_information_score
38.858633
kb_relative_information_score
24.146003
kb_relative_information_score
11.732762
kb_relative_information_score
25.6242
kb_relative_information_score
34.766945
kb_relative_information_score
36.160573
kb_relative_information_score
41.435591
kb_relative_information_score
31.539374
kb_relative_information_score
24.395899
kb_relative_information_score
22.173384
kb_relative_information_score
29.737087
kb_relative_information_score
24.956665
kb_relative_information_score
37.370081
kb_relative_information_score
28.015414
kb_relative_information_score
36.268782
kb_relative_information_score
32.992207
kb_relative_information_score
28.737853
kb_relative_information_score
29.11935
kb_relative_information_score
33.401335
kb_relative_information_score
25.344284
kb_relative_information_score
26.666072
kb_relative_information_score
22.846
kb_relative_information_score
32.417949
kb_relative_information_score
32.461076
kb_relative_information_score
33.756532
mean_absolute_error
0.277156
mean_absolute_error
0.310543
mean_absolute_error
0.304593
mean_absolute_error
0.305045
mean_absolute_error
0.267247
mean_absolute_error
0.278572
mean_absolute_error
0.276262
mean_absolute_error
0.258439
mean_absolute_error
0.315432
mean_absolute_error
0.294219
mean_absolute_error
0.301243
mean_absolute_error
0.268792
mean_absolute_error
0.273281
mean_absolute_error
0.295998
mean_absolute_error
0.284463
mean_absolute_error
0.265208
mean_absolute_error
0.290251
mean_absolute_error
0.29356
mean_absolute_error
0.284377
mean_absolute_error
0.309211
mean_absolute_error
0.277839
mean_absolute_error
0.322152
mean_absolute_error
0.292677
mean_absolute_error
0.287275
mean_absolute_error
0.326881
mean_absolute_error
0.281336
mean_absolute_error
0.307846
mean_absolute_error
0.294988
mean_absolute_error
0.29102
mean_absolute_error
0.269459
mean_absolute_error
0.296176
mean_absolute_error
0.280147
mean_absolute_error
0.286611
mean_absolute_error
0.282742
mean_absolute_error
0.257955
mean_absolute_error
0.310937
mean_absolute_error
0.29436
mean_absolute_error
0.252798
mean_absolute_error
0.277198
mean_absolute_error
0.293715
mean_absolute_error
0.311403
mean_absolute_error
0.295209
mean_absolute_error
0.278332
mean_absolute_error
0.286962
mean_absolute_error
0.296848
mean_absolute_error
0.29907
mean_absolute_error
0.277444
mean_absolute_error
0.284842
mean_absolute_error
0.297858
mean_absolute_error
0.318253
mean_absolute_error
0.263746
mean_absolute_error
0.323051
mean_absolute_error
0.301725
mean_absolute_error
0.279884
mean_absolute_error
0.297584
mean_absolute_error
0.295725
mean_absolute_error
0.266527
mean_absolute_error
0.300927
mean_absolute_error
0.279083
mean_absolute_error
0.276884
mean_absolute_error
0.302664
mean_absolute_error
0.299003
mean_absolute_error
0.290421
mean_absolute_error
0.288033
mean_absolute_error
0.241975
mean_absolute_error
0.318952
mean_absolute_error
0.257125
mean_absolute_error
0.273147
mean_absolute_error
0.240238
mean_absolute_error
0.330371
mean_absolute_error
0.284061
mean_absolute_error
0.29296
mean_absolute_error
0.309988
mean_absolute_error
0.250521
mean_absolute_error
0.302906
mean_absolute_error
0.250477
mean_absolute_error
0.306901
mean_absolute_error
0.351223
mean_absolute_error
0.298143
mean_absolute_error
0.267724
mean_absolute_error
0.267021
mean_absolute_error
0.247136
mean_absolute_error
0.281572
mean_absolute_error
0.303179
mean_absolute_error
0.308445
mean_absolute_error
0.290998
mean_absolute_error
0.299804
mean_absolute_error
0.258013
mean_absolute_error
0.294604
mean_absolute_error
0.263416
mean_absolute_error
0.276109
mean_absolute_error
0.289424
mean_absolute_error
0.286772
mean_absolute_error
0.272387
mean_absolute_error
0.305734
mean_absolute_error
0.295973
mean_absolute_error
0.30777
mean_absolute_error
0.273809
mean_absolute_error
0.275805
mean_absolute_error
0.270766
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
0.803557 [0.831169,0.73913]
precision
0.694444 [0.777778,0.5]
precision
0.724709 [0.782051,0.590909]
precision
0.727489 [0.802817,0.551724]
precision
0.811921 [0.869565,0.677419]
precision
0.792763 [0.828947,0.708333]
precision
0.803557 [0.831169,0.73913]
precision
0.815152 [0.833333,0.772727]
precision
0.71502 [0.779221,0.565217]
precision
0.761333 [0.813333,0.64]
precision
0.692885 [0.766234,0.521739]
precision
0.771545 [0.792683,0.722222]
precision
0.747319 [0.794872,0.636364]
precision
0.74 [0.8,0.6]
precision
0.752183 [0.810811,0.615385]
precision
0.75835 [0.790123,0.684211]
precision
0.755754 [0.819444,0.607143]
precision
0.733877 [0.771084,0.647059]
precision
0.761333 [0.813333,0.64]
precision
0.731185 [0.797297,0.576923]
precision
0.76993 [0.807692,0.681818]
precision
0.697333 [0.773333,0.52]
precision
0.747693 [0.816901,0.586207]
precision
0.752183 [0.810811,0.615385]
precision
0.670751 [0.753247,0.478261]
precision
0.828699 [0.893939,0.676471]
precision
0.722831 [0.794521,0.555556]
precision
0.710187 [0.783784,0.538462]
precision
0.77 [0.8,0.7]
precision
0.761333 [0.813333,0.64]
precision
0.77619 [0.833333,0.642857]
precision
0.764231 [0.821918,0.62963]
precision
0.733877 [0.771084,0.647059]
precision
0.755754 [0.819444,0.607143]
precision
0.794179 [0.837838,0.692308]
precision
0.697333 [0.773333,0.52]
precision
0.767897 [0.830986,0.62069]
precision
0.771053 [0.815789,0.666667]
precision
0.781423 [0.818182,0.695652]
precision
0.761333 [0.813333,0.64]
precision
0.71502 [0.779221,0.565217]
precision
0.724709 [0.782051,0.590909]
precision
0.75835 [0.790123,0.684211]
precision
0.767897 [0.830986,0.62069]
precision
0.727489 [0.802817,0.551724]
precision
0.71502 [0.779221,0.565217]
precision
0.746341 [0.780488,0.666667]
precision
0.733918 [0.777778,0.631579]
precision
0.771053 [0.815789,0.666667]
precision
0.69875 [0.7625,0.55]
precision
0.807212 [0.814815,0.789474]
precision
0.722831 [0.794521,0.555556]
precision
0.718667 [0.786667,0.56]
precision
0.733918 [0.777778,0.631579]
precision
0.743531 [0.808219,0.592593]
precision
0.737154 [0.792208,0.608696]
precision
0.76993 [0.807692,0.681818]
precision
0.733918 [0.777778,0.631579]
precision
0.74 [0.8,0.6]
precision
0.752183 [0.810811,0.615385]
precision
0.743531 [0.808219,0.592593]
precision
0.743531 [0.808219,0.592593]
precision
0.737154 [0.792208,0.608696]
precision
0.782667 [0.826667,0.68]
precision
0.803557 [0.831169,0.73913]
precision
0.707285 [0.788732,0.517241]
precision
0.781423 [0.818182,0.695652]
precision
0.796627 [0.847222,0.678571]
precision
0.828509 [0.873239,0.724138]
precision
0.71502 [0.779221,0.565217]
precision
0.752183 [0.810811,0.615385]
precision
0.718667 [0.786667,0.56]
precision
0.727489 [0.802817,0.551724]
precision
0.815177 [0.851351,0.730769]
precision
0.724709 [0.782051,0.590909]
precision
0.826332 [0.863014,0.740741]
precision
0.743531 [0.808219,0.592593]
precision
0.692987 [0.782609,0.483871]
precision
0.731185 [0.797297,0.576923]
precision
0.773181 [0.824324,0.653846]
precision
0.781423 [0.818182,0.695652]
precision
0.827667 [0.835443,0.809524]
precision
0.711935 [0.772152,0.571429]
precision
0.711935 [0.772152,0.571429]
precision
0.685055 [0.753086,0.526316]
precision
0.727632 [0.789474,0.583333]
precision
0.711935 [0.772152,0.571429]
precision
0.811921 [0.869565,0.677419]
precision
0.735081 [0.78481,0.619048]
precision
0.781423 [0.818182,0.695652]
precision
0.804 [0.84,0.72]
precision
0.735081 [0.78481,0.619048]
precision
0.761333 [0.813333,0.64]
precision
0.782667 [0.826667,0.68]
precision
0.749342 [0.802632,0.625]
precision
0.705921 [0.776316,0.541667]
precision
0.697333 [0.773333,0.52]
precision
0.78 [0.842857,0.633333]
precision
0.764231 [0.821918,0.62963]
precision
0.781423 [0.818182,0.695652]
predictive_accuracy
0.81
predictive_accuracy
0.7
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.81
predictive_accuracy
0.8
predictive_accuracy
0.81
predictive_accuracy
0.82
predictive_accuracy
0.73
predictive_accuracy
0.77
predictive_accuracy
0.71
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.71
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.69
predictive_accuracy
0.82
predictive_accuracy
0.73
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.71
predictive_accuracy
0.77
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.77
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.72
predictive_accuracy
0.81
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.79
predictive_accuracy
0.81
predictive_accuracy
0.71
predictive_accuracy
0.79
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.82
predictive_accuracy
0.74
predictive_accuracy
0.83
predictive_accuracy
0.75
predictive_accuracy
0.69
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.83
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.81
predictive_accuracy
0.75
predictive_accuracy
0.79
predictive_accuracy
0.81
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.71
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.79
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
0.81 [0.914286,0.566667]
recall
0.7 [0.8,0.466667]
recall
0.74 [0.871429,0.433333]
recall
0.73 [0.814286,0.533333]
recall
0.81 [0.857143,0.7]
recall
0.8 [0.9,0.566667]
recall
0.81 [0.914286,0.566667]
recall
0.82 [0.928571,0.566667]
recall
0.73 [0.857143,0.433333]
recall
0.77 [0.871429,0.533333]
recall
0.71 [0.842857,0.4]
recall
0.78 [0.928571,0.433333]
recall
0.76 [0.885714,0.466667]
recall
0.75 [0.857143,0.5]
recall
0.76 [0.857143,0.533333]
recall
0.77 [0.914286,0.433333]
recall
0.76 [0.842857,0.566667]
recall
0.75 [0.914286,0.366667]
recall
0.77 [0.871429,0.533333]
recall
0.74 [0.842857,0.5]
recall
0.78 [0.9,0.5]
recall
0.71 [0.828571,0.433333]
recall
0.75 [0.828571,0.566667]
recall
0.76 [0.857143,0.533333]
recall
0.69 [0.828571,0.366667]
recall
0.82 [0.842857,0.766667]
recall
0.73 [0.828571,0.5]
recall
0.72 [0.828571,0.466667]
recall
0.78 [0.914286,0.466667]
recall
0.77 [0.871429,0.533333]
recall
0.78 [0.857143,0.6]
recall
0.77 [0.857143,0.566667]
recall
0.75 [0.914286,0.366667]
recall
0.76 [0.842857,0.566667]
recall
0.8 [0.885714,0.6]
recall
0.71 [0.828571,0.433333]
recall
0.77 [0.842857,0.6]
recall
0.78 [0.885714,0.533333]
recall
0.79 [0.9,0.533333]
recall
0.77 [0.871429,0.533333]
recall
0.73 [0.857143,0.433333]
recall
0.74 [0.871429,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.842857,0.6]
recall
0.73 [0.814286,0.533333]
recall
0.73 [0.857143,0.433333]
recall
0.76 [0.914286,0.4]
recall
0.75 [0.9,0.4]
recall
0.78 [0.885714,0.533333]
recall
0.72 [0.871429,0.366667]
recall
0.81 [0.942857,0.5]
recall
0.73 [0.828571,0.5]
recall
0.73 [0.842857,0.466667]
recall
0.75 [0.9,0.4]
recall
0.75 [0.842857,0.533333]
recall
0.75 [0.871429,0.466667]
recall
0.78 [0.9,0.5]
recall
0.75 [0.9,0.4]
recall
0.75 [0.857143,0.5]
recall
0.76 [0.857143,0.533333]
recall
0.75 [0.842857,0.533333]
recall
0.75 [0.842857,0.533333]
recall
0.75 [0.871429,0.466667]
recall
0.79 [0.885714,0.566667]
recall
0.81 [0.914286,0.566667]
recall
0.71 [0.8,0.5]
recall
0.79 [0.9,0.533333]
recall
0.8 [0.871429,0.633333]
recall
0.83 [0.885714,0.7]
recall
0.73 [0.857143,0.433333]
recall
0.76 [0.857143,0.533333]
recall
0.73 [0.842857,0.466667]
recall
0.73 [0.814286,0.533333]
recall
0.82 [0.9,0.633333]
recall
0.74 [0.871429,0.433333]
recall
0.83 [0.9,0.666667]
recall
0.75 [0.842857,0.533333]
recall
0.69 [0.771429,0.5]
recall
0.74 [0.842857,0.5]
recall
0.78 [0.871429,0.566667]
recall
0.79 [0.9,0.533333]
recall
0.83 [0.942857,0.566667]
recall
0.73 [0.871429,0.4]
recall
0.73 [0.871429,0.4]
recall
0.71 [0.871429,0.333333]
recall
0.74 [0.857143,0.466667]
recall
0.73 [0.871429,0.4]
recall
0.81 [0.857143,0.7]
recall
0.75 [0.885714,0.433333]
recall
0.79 [0.9,0.533333]
recall
0.81 [0.9,0.6]
recall
0.75 [0.885714,0.433333]
recall
0.77 [0.871429,0.533333]
recall
0.79 [0.885714,0.566667]
recall
0.76 [0.871429,0.5]
recall
0.72 [0.842857,0.433333]
recall
0.71 [0.828571,0.433333]
recall
0.78 [0.842857,0.633333]
recall
0.77 [0.857143,0.566667]
recall
0.79 [0.9,0.533333]
relative_absolute_error
0.659644
relative_absolute_error
0.739107
relative_absolute_error
0.724946
relative_absolute_error
0.726021
relative_absolute_error
0.636061
relative_absolute_error
0.663014
relative_absolute_error
0.657517
relative_absolute_error
0.615097
relative_absolute_error
0.750742
relative_absolute_error
0.700255
relative_absolute_error
0.716972
relative_absolute_error
0.639738
relative_absolute_error
0.650423
relative_absolute_error
0.704489
relative_absolute_error
0.677035
relative_absolute_error
0.631208
relative_absolute_error
0.69081
relative_absolute_error
0.698687
relative_absolute_error
0.676831
relative_absolute_error
0.735937
relative_absolute_error
0.661269
relative_absolute_error
0.766738
relative_absolute_error
0.696586
relative_absolute_error
0.683728
relative_absolute_error
0.777993
relative_absolute_error
0.669592
relative_absolute_error
0.732689
relative_absolute_error
0.702086
relative_absolute_error
0.692642
relative_absolute_error
0.641326
relative_absolute_error
0.704913
relative_absolute_error
0.666763
relative_absolute_error
0.682147
relative_absolute_error
0.67294
relative_absolute_error
0.613946
relative_absolute_error
0.740044
relative_absolute_error
0.700592
relative_absolute_error
0.601672
relative_absolute_error
0.659745
relative_absolute_error
0.699056
relative_absolute_error
0.741155
relative_absolute_error
0.702611
relative_absolute_error
0.662442
relative_absolute_error
0.682983
relative_absolute_error
0.706512
relative_absolute_error
0.711802
relative_absolute_error
0.660331
relative_absolute_error
0.677938
relative_absolute_error
0.708916
relative_absolute_error
0.757456
relative_absolute_error
0.627727
relative_absolute_error
0.768876
relative_absolute_error
0.71812
relative_absolute_error
0.666137
relative_absolute_error
0.708264
relative_absolute_error
0.703839
relative_absolute_error
0.634346
relative_absolute_error
0.71622
relative_absolute_error
0.66423
relative_absolute_error
0.658996
relative_absolute_error
0.720354
relative_absolute_error
0.71164
relative_absolute_error
0.691216
relative_absolute_error
0.685532
relative_absolute_error
0.575911
relative_absolute_error
0.75912
relative_absolute_error
0.61197
relative_absolute_error
0.650102
relative_absolute_error
0.571777
relative_absolute_error
0.786298
relative_absolute_error
0.676078
relative_absolute_error
0.69726
relative_absolute_error
0.737787
relative_absolute_error
0.596252
relative_absolute_error
0.720931
relative_absolute_error
0.596148
relative_absolute_error
0.730439
relative_absolute_error
0.835928
relative_absolute_error
0.709595
relative_absolute_error
0.637196
relative_absolute_error
0.635524
relative_absolute_error
0.588196
relative_absolute_error
0.670154
relative_absolute_error
0.72158
relative_absolute_error
0.734114
relative_absolute_error
0.692589
relative_absolute_error
0.713548
relative_absolute_error
0.614082
relative_absolute_error
0.701173
relative_absolute_error
0.626942
relative_absolute_error
0.657152
relative_absolute_error
0.688842
relative_absolute_error
0.682532
relative_absolute_error
0.648295
relative_absolute_error
0.727661
relative_absolute_error
0.704429
relative_absolute_error
0.732507
relative_absolute_error
0.651678
relative_absolute_error
0.65643
relative_absolute_error
0.644437
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
0.405042
root_mean_squared_error
0.440403
root_mean_squared_error
0.435526
root_mean_squared_error
0.436749
root_mean_squared_error
0.365152
root_mean_squared_error
0.39481
root_mean_squared_error
0.398662
root_mean_squared_error
0.357785
root_mean_squared_error
0.447294
root_mean_squared_error
0.42973
root_mean_squared_error
0.446896
root_mean_squared_error
0.402902
root_mean_squared_error
0.410339
root_mean_squared_error
0.434437
root_mean_squared_error
0.402711
root_mean_squared_error
0.398854
root_mean_squared_error
0.417356
root_mean_squared_error
0.43014
root_mean_squared_error
0.404726
root_mean_squared_error
0.431179
root_mean_squared_error
0.416161
root_mean_squared_error
0.461721
root_mean_squared_error
0.423831
root_mean_squared_error
0.413379
root_mean_squared_error
0.471287
root_mean_squared_error
0.393465
root_mean_squared_error
0.409796
root_mean_squared_error
0.42051
root_mean_squared_error
0.420583
root_mean_squared_error
0.396019
root_mean_squared_error
0.411582
root_mean_squared_error
0.405221
root_mean_squared_error
0.416298
root_mean_squared_error
0.394856
root_mean_squared_error
0.38058
root_mean_squared_error
0.439041
root_mean_squared_error
0.426676
root_mean_squared_error
0.378094
root_mean_squared_error
0.414727
root_mean_squared_error
0.41329
root_mean_squared_error
0.441065
root_mean_squared_error
0.420252
root_mean_squared_error
0.414927
root_mean_squared_error
0.429686
root_mean_squared_error
0.424587
root_mean_squared_error
0.430912
root_mean_squared_error
0.398204
root_mean_squared_error
0.401416
root_mean_squared_error
0.432641
root_mean_squared_error
0.439288
root_mean_squared_error
0.389742
root_mean_squared_error
0.443475
root_mean_squared_error
0.430447
root_mean_squared_error
0.410193
root_mean_squared_error
0.435216
root_mean_squared_error
0.427443
root_mean_squared_error
0.401993
root_mean_squared_error
0.434241
root_mean_squared_error
0.398755
root_mean_squared_error
0.421465
root_mean_squared_error
0.441597
root_mean_squared_error
0.432409
root_mean_squared_error
0.41029
root_mean_squared_error
0.39587
root_mean_squared_error
0.371347
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