363073
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
1256535
description
https://api.openml.org/data/download/1256535/weka_generated_run7223515800282611619.xml
-1
1256538
model_readable
https://api.openml.org/data/download/1256538/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2654644746092186596.model
-1
1256537
model_serialized
https://api.openml.org/data/download/1256537/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1016385426853578804.model
-1
1256536
predictions
https://api.openml.org/data/download/1256536/weka_generated_predictions1498069996262607081.arff
area_under_roc_curve
0.991422 [0.927723,0.995527,0.990732,0.0,1,0.991437]
average_cost
0
f_measure
0.967221 [0.769231,0.901247,0.978974,0,0.972424,0.960409]
kappa
0.918528
kb_relative_information_score
7842.171996
mean_absolute_error
0.017526
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.967748 [1,0.928266,0.974366,0,0.946328,0.981723]
predictive_accuracy
0.967817
prior_entropy
1.214875
recall
0.967817 [0.625,0.875758,0.983626,0,1,0.94]
relative_absolute_error
0.13049
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.090736
root_relative_squared_error
0.351392
scimark_benchmark
1324.840815 [811.6522555978787, 965.6501745305683, 529.7196467559722, 1043.9824120742528, 3273.199585340755]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.995748 [1,0.994513,0.995169,0.0,1,1]
area_under_roc_curve
0.998803 [1,0.99875,0.99862,0.0,1,1]
area_under_roc_curve
0.993651 [1,1,0.991718,0.0,1,1]
area_under_roc_curve
0.997216 [1,0.99875,0.996549,0.0,1,1]
area_under_roc_curve
0.998803 [1,0.99875,0.99862,0.0,1,1]
area_under_roc_curve
0.971008 [1,0.98625,0.966874,0.0,1,0.953488]
area_under_roc_curve
0.992149 [1,0.99125,0.991028,0.0,1,1]
area_under_roc_curve
0.975647 [1,0.989026,0.971014,0.0,1,0.976744]
area_under_roc_curve
0.998001 [1,0.995885,0.99793,0.0,1,1]
area_under_roc_curve
0.983216 [1,0.9975,0.979986,0.0,1,0.973837]
area_under_roc_curve
0.998207 [1,0.9975,0.997995,0.0,1,1]
area_under_roc_curve
0.99666 [1,0.99375,0.996549,0.0,1,1]
area_under_roc_curve
0.974597 [1,0.99125,0.970324,0.0,1,0.962209]
area_under_roc_curve
0.985218 [1,0.98125,0.983437,0.0,1,1]
area_under_roc_curve
0.998664 [1,0.9975,0.99862,0.0,1,1]
area_under_roc_curve
0.995238 [1,1,0.993789,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.99798 [1,1,0.997326,0.0,1,1]
area_under_roc_curve
0.992323 [0.797753,0.99875,0.993099,0.0,1,1]
area_under_roc_curve
0.998274 [1,0.99875,0.99793,0.0,1,1]
area_under_roc_curve
0.994354 [0.719101,1,0.996658,0.0,1,1]
area_under_roc_curve
0.980216 [0.752809,0.98,0.980676,0.0,1,1]
area_under_roc_curve
0.983354 [1,0.99875,0.979986,0.0,1,0.973837]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.993095 [1,0.995,0.991718,0.0,1,1]
area_under_roc_curve
0.986857 [1,1,0.983289,0.0,1,0.988372]
area_under_roc_curve
0.982279 [1,0.995,0.979296,0.0,1,0.97093]
area_under_roc_curve
0.993766 [0.769663,0.99875,0.995321,0.0,1,1]
area_under_roc_curve
0.998664 [1,0.9975,0.99862,0.0,1,1]
area_under_roc_curve
0.999471 [1,1,0.99931,0.0,1,1]
area_under_roc_curve
0.994533 [1,0.99625,0.993316,0.0,1,1]
area_under_roc_curve
0.998413 [1,1,0.99793,0.0,1,1]
area_under_roc_curve
0.997609 [1,0.997257,0.997239,0.0,1,1]
area_under_roc_curve
0.977972 [0.988764,0.99875,0.97393,0.0,1,0.953488]
area_under_roc_curve
0.993438 [0.792135,0.994513,0.995169,0.0,1,1]
area_under_roc_curve
0.99274 [1,0.99375,0.99131,0.0,1,1]
area_under_roc_curve
0.999471 [1,1,0.99931,0.0,1,1]
area_under_roc_curve
0.997563 [1,0.99625,0.997326,0.0,1,1]
area_under_roc_curve
0.994266 [1,0.99125,0.993789,0.0,1,1]
area_under_roc_curve
0.991885 [0.769663,1,0.992647,0.0,1,1]
area_under_roc_curve
0.992828 [1,0.99,0.991979,0.0,1,1]
area_under_roc_curve
0.996692 [1,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.998207 [1,0.9975,0.997995,0.0,1,1]
area_under_roc_curve
0.987531 [0.758427,0.99375,0.987968,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.993056 [1,0.9875,0.992647,0.0,1,1]
area_under_roc_curve
0.983944 [1,1,0.979947,0.0,1,0.979651]
area_under_roc_curve
0.979168 [1,0.99,0.975267,0.0,1,0.976744]
area_under_roc_curve
0.994482 [1,0.99125,0.993984,0.0,1,1]
area_under_roc_curve
0.994621 [1,0.9925,0.993984,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.962429 [1,0.99875,0.953877,0.0,1,0.94186]
area_under_roc_curve
0.993525 [0.780899,1,0.994652,0.0,1,1]
area_under_roc_curve
0.983901 [1,0.9975,0.981283,0.0,1,0.962209]
area_under_roc_curve
0.99596 [1,1,0.994652,0.0,1,1]
area_under_roc_curve
0.999356 [1,0.99875,0.999332,0.0,1,1]
area_under_roc_curve
0.984674 [0.679775,0.985,0.986631,0.0,1,1]
area_under_roc_curve
0.999495 [1,1,0.999332,0.0,1,1]
area_under_roc_curve
0.960778 [1,0.99875,0.955882,0.0,1,0.87064]
area_under_roc_curve
0.998851 [1,0.99875,0.998663,0.0,1,1]
area_under_roc_curve
0.995265 [1,0.99375,0.994652,0.0,1,1]
area_under_roc_curve
0.98185 [1,0.995,0.979278,0.0,1,0.956395]
area_under_roc_curve
0.991818 [1,0.99,0.990642,0.0,1,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.978127 [1,0.9875,0.974599,0.0,1,0.97093]
area_under_roc_curve
0.995228 [0.797753,1,0.996658,0.0,1,1]
area_under_roc_curve
0.993889 [1,0.995,0.992647,0.0,1,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.995265 [1,0.99375,0.994652,0.0,1,1]
area_under_roc_curve
0.99697 [1,1,0.995989,0.0,1,1]
area_under_roc_curve
0.994405 [1,0.9925,0.993789,0.0,1,1]
area_under_roc_curve
0.996692 [1,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.978824 [1,0.9925,0.97393,0.0,1,0.985465]
area_under_roc_curve
0.997702 [1,0.9975,0.997326,0.0,1,1]
area_under_roc_curve
0.98851 [1,0.9875,0.986631,0.0,1,1]
area_under_roc_curve
0.999495 [1,1,0.999332,0.0,1,1]
area_under_roc_curve
0.995265 [1,0.99375,0.994652,0.0,1,1]
area_under_roc_curve
0.987474 [1,0.9825,0.986197,0.0,1,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.987985 [0.0,0.983544,0.986695,0.0,1,1]
area_under_roc_curve
0.983622 [0.0,0.997468,0.980435,0.0,1,0.979412]
area_under_roc_curve
0.999323 [0.0,0.998734,0.9993,0.0,1,1]
area_under_roc_curve
1 [0.0,1,1,0.0,1,1]
area_under_roc_curve
1 [0.0,1,1,0.0,1,1]
area_under_roc_curve
0.999465 [0.0,1,0.9993,0.0,1,1]
area_under_roc_curve
0.991694 [0.0,0.986076,0.991304,0.0,1,1]
area_under_roc_curve
1 [0.0,1,1,0.0,1,1]
area_under_roc_curve
0.998876 [0.0,1,0.998551,0.0,1,1]
area_under_roc_curve
0.998645 [0.0,0.997468,0.998599,0.0,1,1]
area_under_roc_curve
0.983003 [0.0,0.997468,0.978992,0.0,1,0.985294]
area_under_roc_curve
0.983377 [0.0,1,0.980435,0.0,1,0.967647]
area_under_roc_curve
0.981381 [0.0,0.993671,0.978291,0.0,1,0.970588]
area_under_roc_curve
0.991907 [0.0,0.989873,0.990896,0.0,1,1]
area_under_roc_curve
0.992416 [0.0,0.986111,0.992029,0.0,1,1]
area_under_roc_curve
0.980896 [0.0,1,0.977591,0.0,1,0.955882]
area_under_roc_curve
0.995072 [0.0,0.991139,0.994928,0.0,1,1]
area_under_roc_curve
0.999323 [0.0,0.998734,0.9993,0.0,1,1]
area_under_roc_curve
0.995214 [0.0,0.992405,0.994928,0.0,1,1]
area_under_roc_curve
0.996898 [0.0,0.996203,0.996499,0.0,1,1]
average_cost
0
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0
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0
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0
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0
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0
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0
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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
0.965979 [1,0.888889,0.978417,0,0.923077,1]
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
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f_measure
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f_measure
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0.953688 [0,0.842105,0.971429,0,1,0.857143]
f_measure
0.977528 [0,0.9,0.985294,0,1,1]
f_measure
1 [0,1,1,0,1,1]
f_measure
0.988509 [0,0.947368,0.992701,0,1,1]
f_measure
0.967308 [0,0.909091,0.977444,0,0.933333,1]
f_measure
0.977528 [0,0.9,0.985507,0,1,1]
f_measure
0.989097 [0,1,0.992593,0,0.933333,1]
f_measure
0.988509 [0,0.947368,0.992806,0,1,1]
f_measure
0.96697 [0,0.857143,0.977778,0,1,1]
f_measure
0.965613 [0,0.9,0.978102,0,1,0.857143]
f_measure
0.988002 [0,1,0.992806,0,1,0.857143]
f_measure
0.964605 [0,0.888889,0.978417,0,1,0.857143]
f_measure
0.94413 [0,0.842105,0.962963,0,0.875,1]
f_measure
0.955056 [0,0.777778,0.971014,0,1,1]
f_measure
0.988002 [0,1,0.992701,0,1,0.857143]
f_measure
0.988509 [0,0.947368,0.992806,0,1,1]
f_measure
0.98899 [0,0.952381,0.992593,0,1,1]
f_measure
0.988509 [0,0.947368,0.992806,0,1,1]
f_measure
0.965541 [0,0.888889,0.978102,0,0.933333,1]
kappa
0.91012
kappa
0.917025
kappa
0.945586
kappa
0.943414
kappa
0.913766
kappa
0.919905
kappa
0.850449
kappa
0.913766
kappa
0.861581
kappa
0.943609
kappa
0.861751
kappa
0.945619
kappa
0.943503
kappa
0.91009
kappa
0.88266
kappa
0.972265
kappa
0.971191
kappa
0.941157
kappa
0.943485
kappa
0.913517
kappa
0.943574
kappa
0.870504
kappa
0.823702
kappa
0.941215
kappa
1
kappa
0.855862
kappa
0.94557
kappa
0.91009
kappa
0.916744
kappa
0.941157
kappa
0.94133
kappa
0.89114
kappa
0.913628
kappa
0.913848
kappa
0.916589
kappa
0.877717
kappa
0.85623
kappa
0.91012
kappa
0.919834
kappa
0.943503
kappa
0.894644
kappa
0.86639
kappa
0.916821
kappa
0.919905
kappa
0.891041
kappa
0.972325
kappa
0.891239
kappa
0.972274
kappa
0.850697
kappa
0.945619
kappa
0.972325
kappa
0.972325
kappa
0.886864
kappa
0.972248
kappa
0.943538
kappa
0.883041
kappa
0.972325
kappa
0.836413
kappa
0.973302
kappa
0.855538
kappa
0.943485
kappa
0.913903
kappa
0.913738
kappa
0.943644
kappa
0.917051
kappa
0.919691
kappa
0.943485
kappa
0.891337
kappa
0.945471
kappa
0.919905
kappa
0.913903
kappa
0.886686
kappa
0.920118
kappa
0.805195
kappa
0.890942
kappa
0.842657
kappa
0.945669
kappa
0.895013
kappa
0.830721
kappa
0.943644
kappa
0.865518
kappa
0.87656
kappa
0.943167
kappa
1
kappa
0.971047
kappa
0.919311
kappa
0.940824
kappa
0.972127
kappa
0.96982
kappa
0.916301
kappa
0.912973
kappa
0.969759
kappa
0.909553
kappa
0.860763
kappa
0.881885
kappa
0.970991
kappa
0.96982
kappa
0.9721
kappa
0.96982
kappa
0.913227
kb_relative_information_score
80.393736
kb_relative_information_score
78.949018
kb_relative_information_score
79.327115
kb_relative_information_score
76.16032
kb_relative_information_score
79.463736
kb_relative_information_score
77.685246
kb_relative_information_score
70.219865
kb_relative_information_score
75.059845
kb_relative_information_score
70.251032
kb_relative_information_score
81.928157
kb_relative_information_score
74.558243
kb_relative_information_score
84.51911
kb_relative_information_score
79.201677
kb_relative_information_score
74.770301
kb_relative_information_score
72.526252
kb_relative_information_score
80.382767
kb_relative_information_score
77.991464
kb_relative_information_score
81.164447
kb_relative_information_score
81.441334
kb_relative_information_score
75.938871
kb_relative_information_score
80.717308
kb_relative_information_score
78.479744
kb_relative_information_score
69.493444
kb_relative_information_score
78.728305
kb_relative_information_score
84.642098
kb_relative_information_score
76.287266
kb_relative_information_score
79.387024
kb_relative_information_score
74.922912
kb_relative_information_score
79.852627
kb_relative_information_score
80.015355
kb_relative_information_score
83.106489
kb_relative_information_score
78.6136
kb_relative_information_score
80.655335
kb_relative_information_score
80.606045
kb_relative_information_score
78.196904
kb_relative_information_score
74.861209
kb_relative_information_score
77.641701
kb_relative_information_score
80.443817
kb_relative_information_score
82.504265
kb_relative_information_score
75.921315
kb_relative_information_score
77.047541
kb_relative_information_score
79.024048
kb_relative_information_score
81.815052
kb_relative_information_score
82.963565
kb_relative_information_score
74.356357
kb_relative_information_score
86.969374
kb_relative_information_score
79.673565
kb_relative_information_score
80.960523
kb_relative_information_score
76.10042
kb_relative_information_score
81.251406
kb_relative_information_score
79.504017
kb_relative_information_score
84.060571
kb_relative_information_score
76.17042
kb_relative_information_score
79.992003
kb_relative_information_score
79.881813
kb_relative_information_score
81.186597
kb_relative_information_score
86.169969
kb_relative_information_score
73.144666
kb_relative_information_score
86.351679
kb_relative_information_score
76.058954
kb_relative_information_score
83.073829
kb_relative_information_score
80.400928
kb_relative_information_score
79.322873
kb_relative_information_score
80.422611
kb_relative_information_score
84.473488
kb_relative_information_score
75.29488
kb_relative_information_score
80.338439
kb_relative_information_score
80.157622
kb_relative_information_score
84.094037
kb_relative_information_score
81.074885
kb_relative_information_score
80.646552
kb_relative_information_score
76.890024
kb_relative_information_score
81.748722
kb_relative_information_score
71.090444
kb_relative_information_score
82.752135
kb_relative_information_score
76.495418
kb_relative_information_score
83.240934
kb_relative_information_score
78.465434
kb_relative_information_score
73.610851
kb_relative_information_score
83.196964
kb_relative_information_score
70.38562
kb_relative_information_score
71.16882
kb_relative_information_score
80.355496
kb_relative_information_score
81.077043
kb_relative_information_score
79.832899
kb_relative_information_score
77.256768
kb_relative_information_score
71.105096
kb_relative_information_score
80.822361
kb_relative_information_score
76.310023
kb_relative_information_score
78.377442
kb_relative_information_score
74.488997
kb_relative_information_score
74.231636
kb_relative_information_score
74.102263
kb_relative_information_score
73.235756
kb_relative_information_score
70.948668
kb_relative_information_score
78.069669
kb_relative_information_score
73.824681
kb_relative_information_score
79.388477
kb_relative_information_score
73.620991
kb_relative_information_score
77.086378
mean_absolute_error
0.014074
mean_absolute_error
0.016145
mean_absolute_error
0.016081
mean_absolute_error
0.021474
mean_absolute_error
0.01535
mean_absolute_error
0.019917
mean_absolute_error
0.026431
mean_absolute_error
0.024383
mean_absolute_error
0.029447
mean_absolute_error
0.012458
mean_absolute_error
0.020341
mean_absolute_error
0.011639
mean_absolute_error
0.015505
mean_absolute_error
0.020557
mean_absolute_error
0.02459
mean_absolute_error
0.014898
mean_absolute_error
0.017561
mean_absolute_error
0.014189
mean_absolute_error
0.017969
mean_absolute_error
0.016646
mean_absolute_error
0.014475
mean_absolute_error
0.014978
mean_absolute_error
0.027045
mean_absolute_error
0.015233
mean_absolute_error
0.007701
mean_absolute_error
0.021256
mean_absolute_error
0.018729
mean_absolute_error
0.020949
mean_absolute_error
0.014147
mean_absolute_error
0.016124
mean_absolute_error
0.009589
mean_absolute_error
0.02231
mean_absolute_error
0.01539
mean_absolute_error
0.015179
mean_absolute_error
0.018916
mean_absolute_error
0.016101
mean_absolute_error
0.023721
mean_absolute_error
0.015013
mean_absolute_error
0.015871
mean_absolute_error
0.021372
mean_absolute_error
0.019317
mean_absolute_error
0.019706
mean_absolute_error
0.016761
mean_absolute_error
0.01388
mean_absolute_error
0.023586
mean_absolute_error
0.00842
mean_absolute_error
0.020752
mean_absolute_error
0.017628
mean_absolute_error
0.022942
mean_absolute_error
0.017747
mean_absolute_error
0.020532
mean_absolute_error
0.015295
mean_absolute_error
0.02077
mean_absolute_error
0.013512
mean_absolute_error
0.016022
mean_absolute_error
0.017403
mean_absolute_error
0.009114
mean_absolute_error
0.024088
mean_absolute_error
0.009155
mean_absolute_error
0.020246
mean_absolute_error
0.015633
mean_absolute_error
0.017995
mean_absolute_error
0.01748
mean_absolute_error
0.018592
mean_absolute_error
0.012301
mean_absolute_error
0.027347
mean_absolute_error
0.014577
mean_absolute_error
0.017999
mean_absolute_error
0.012628
mean_absolute_error
0.018455
mean_absolute_error
0.018293
mean_absolute_error
0.020556
mean_absolute_error
0.016075
mean_absolute_error
0.030785
mean_absolute_error
0.015958
mean_absolute_error
0.026454
mean_absolute_error
0.015306
mean_absolute_error
0.021089
mean_absolute_error
0.026616
mean_absolute_error
0.015294
mean_absolute_error
0.027738
mean_absolute_error
0.019152
mean_absolute_error
0.010154
mean_absolute_error
0.008973
mean_absolute_error
0.012162
mean_absolute_error
0.014628
mean_absolute_error
0.021544
mean_absolute_error
0.008983
mean_absolute_error
0.012327
mean_absolute_error
0.013594
mean_absolute_error
0.017141
mean_absolute_error
0.014574
mean_absolute_error
0.017672
mean_absolute_error
0.021262
mean_absolute_error
0.021618
mean_absolute_error
0.011458
mean_absolute_error
0.017265
mean_absolute_error
0.010528
mean_absolute_error
0.015938
mean_absolute_error
0.015348
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
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0.135738
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0.135738
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0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.131132
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,9,69,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,9,69,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,9,69,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
precision
0.956944 [0,1,0.958333,0,1,1]
precision
0.967892 [1,0.888889,0.985294,0,0.875,1]
precision
0.980375 [1,0.909091,1,0,0.857143,1]
precision
0.968254 [0,1,0.985507,0,0.857143,1]
precision
0.968571 [1,1,0.971429,0,0.857143,1]
precision
0.973232 [1,0.909091,1,0,0.75,1]
precision
0.946296 [1,1,0.944444,0,1,0.75]
precision
0.968571 [1,1,0.971429,0,0.857143,1]
precision
0.949056 [1,0.888889,0.970588,0,0.777778,1]
precision
0.977778 [1,0.888889,0.985507,0,1,1]
precision
0.950149 [1,1,0.970588,0,0.857143,0.6]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.977778 [1,0.9,0.985507,0,1,1]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.953717 [1,0.875,0.957746,0,1,1]
precision
0.989899 [1,0.909091,1,0,1,1]
precision
0.977937 [0,1,0.985714,0,1,1]
precision
0.967293 [0,1,0.971831,0,1,1]
precision
0.967302 [0,1,0.971429,0,1,1]
precision
0.95746 [0,1,0.971429,0,0.857143,1]
precision
0.979365 [1,1,0.985507,0,0.857143,1]
precision
0.945519 [0,0.714286,0.984615,0,1,1]
precision
0.922284 [0,0.875,0.943662,0,0.857143,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
1 [1,1,1,0,1,1]
precision
0.934162 [0,0.888889,0.957143,0,0.857143,1]
precision
0.979167 [1,1,0.985294,0,0.875,1]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.955878 [0,0.9,0.971014,0,1,1]
precision
0.967293 [0,1,0.971831,0,1,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.949383 [0,1,0.970588,0,0.777778,1]
precision
0.957262 [0,1,0.971429,0,0.875,1]
precision
0.968373 [1,1,0.971429,0,0.875,1]
precision
0.956888 [0,0.909091,0.971014,0,1,1]
precision
0.94688 [0,1,0.945205,0,1,1]
precision
0.9366 [0,1,0.943662,0,0.875,1]
precision
0.956944 [0,1,0.958333,0,1,1]
precision
0.968521 [1,0.818182,0.985075,0,1,1]
precision
0.977778 [1,0.9,0.985507,0,1,1]
precision
0.9518 [0,0.769231,0.984848,0,1,1]
precision
0.947143 [1,0.727273,0.970149,0,1,1]
precision
0.957267 [0,1,0.971014,0,0.875,1]
precision
0.96789 [1,0.9,0.985075,0,0.875,1]
precision
0.945833 [0,0.9,0.970588,0,0.875,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.955556 [1,0.8,0.970588,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.956508 [1,0.9,0.957143,0,1,1]
precision
0.977939 [0,1,0.985507,0,1,1]
precision
0.978413 [1,1,0.971429,0,1,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.925253 [0,0.727273,0.955882,0,1,1]
precision
0.990278 [1,1,1,0,0.875,1]
precision
0.935211 [0,0.9,0.943662,0,1,1]
precision
0.967302 [0,1,0.971429,0,1,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.978413 [1,1,0.971429,0,1,1]
precision
0.968378 [1,1,0.971014,0,0.875,1]
precision
0.970205 [1,0.833333,0.985075,0,1,1]
precision
0.967302 [0,1,0.971429,0,1,1]
precision
0.95571 [1,0.888889,0.970588,0,0.875,1]
precision
0.967677 [0,0.909091,0.985294,0,1,1]
precision
0.96789 [1,0.9,0.985075,0,0.875,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.946465 [0,0.818182,0.971014,0,1,1]
precision
0.973908 [1,1,0.985075,0,1,0.666667]
precision
0.915164 [0,0.818182,0.942029,0,0.875,1]
precision
0.946465 [0,0.818182,0.970588,0,1,1]
precision
0.930345 [0,0.9,0.969697,0,0.875,0.666667]
precision
0.979167 [1,1,0.985294,0,0.875,1]
precision
0.958628 [1,0.818182,0.984848,0,0.875,1]
precision
0.932451 [1,0.777778,0.956522,0,0.857143,1]
precision
0.978413 [1,1,0.971429,0,1,1]
precision
0.950324 [0,0.75,0.984615,0,0.875,1]
precision
0.954757 [0,0.888889,0.957746,0,1,1]
precision
0.977528 [0,0.9,0.985294,0,1,1]
precision
1 [0,1,1,0,1,1]
precision
0.988927 [0,1,0.985507,0,1,1]
precision
0.971442 [0,0.833333,1,0,0.875,1]
precision
0.977528 [0,0.9,0.985507,0,1,1]
precision
0.990169 [0,1,1,0,0.875,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.968167 [0,0.818182,0.985075,0,1,1]
precision
0.966618 [0,0.9,0.971014,0,1,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.967716 [0,1,0.957746,0,1,1]
precision
0.94723 [0,0.888889,0.970149,0,0.777778,1]
precision
0.955056 [0,0.777778,0.971014,0,1,1]
precision
0.988927 [0,1,0.985507,0,1,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.989785 [0,0.909091,1,0,1,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.968022 [0,1,0.971014,0,0.875,1]
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
1
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.933333
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.94382
predictive_accuracy
0.955056
predictive_accuracy
0.977528
predictive_accuracy
1
predictive_accuracy
0.988764
predictive_accuracy
0.966292
predictive_accuracy
0.977528
predictive_accuracy
0.988764
predictive_accuracy
0.988764
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.988764
predictive_accuracy
0.966292
predictive_accuracy
0.94382
predictive_accuracy
0.955056
predictive_accuracy
0.988764
predictive_accuracy
0.988764
predictive_accuracy
0.988764
predictive_accuracy
0.988764
predictive_accuracy
0.966292
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
recall
0.966667 [0,0.777778,1,0,1,1]
recall
0.966667 [1,0.888889,0.971014,0,1,1]
recall
0.977778 [1,1,0.971014,0,1,1]
recall
0.977778 [0,1,0.985507,0,1,1]
recall
0.966667 [1,0.8,0.985507,0,1,1]
recall
0.966667 [1,1,0.956522,0,1,1]
recall
0.944444 [1,0.7,0.985507,0,1,0.75]
recall
0.966667 [1,0.8,0.985507,0,1,1]
recall
0.944444 [1,0.888889,0.956522,0,1,0.75]
recall
0.977778 [1,0.888889,0.985507,0,1,1]
recall
0.944444 [1,0.9,0.956522,0,1,0.75]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.966667 [1,0.8,1,0,1,0.75]
recall
0.955556 [1,0.7,0.985507,0,1,1]
recall
0.988889 [1,1,0.985507,0,1,1]
recall
0.988889 [0,1,1,0,1,1]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.966667 [0,0.9,0.985507,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.944444 [0,1,0.941176,0,1,1]
recall
0.933333 [0,0.7,0.971014,0,1,1]
recall
0.977778 [1,0.9,1,0,1,0.75]
recall
1 [1,1,1,0,1,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.977778 [1,1,0.985294,0,1,0.75]
recall
0.966667 [1,0.8,1,0,1,0.75]
recall
0.966667 [0,0.9,0.985294,0,1,1]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.966667 [0,0.888889,0.985507,0,1,1]
recall
0.966667 [1,0.777778,0.985507,0,1,1]
recall
0.966667 [0,1,0.985294,0,1,0.75]
recall
0.955556 [0,0.666667,1,0,1,1]
recall
0.944444 [0,0.7,0.985294,0,1,1]
recall
0.966667 [0,0.777778,1,0,1,1]
recall
0.966667 [1,0.9,0.970588,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.955556 [0,1,0.955882,0,1,1]
recall
0.944444 [1,0.8,0.955882,0,1,1]
recall
0.966667 [0,0.9,0.985294,0,1,1]
recall
0.966667 [1,0.9,0.970588,0,1,1]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.988889 [1,1,1,0,1,0.75]
recall
0.944444 [1,0.6,1,0,1,0.75]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.955556 [1,0.9,0.985294,0,1,0.5]
recall
0.988889 [0,1,1,0,1,1]
recall
0.977778 [1,0.9,1,0,1,0.75]
recall
0.955556 [1,0.6,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.933333 [0,0.8,0.955882,0,1,1]
recall
0.988889 [1,1,0.985294,0,1,1]
recall
0.944444 [0,0.9,0.985294,0,1,0.5]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.966667 [1,0.7,1,0,1,1]
recall
0.966667 [1,0.8,1,0,1,0.75]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.966667 [1,0.8,0.985294,0,1,1]
recall
0.966667 [1,1,0.970588,0,1,0.75]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.977778 [0,1,0.985294,0,1,1]
recall
0.966667 [1,0.9,0.970588,0,1,1]
recall
0.966667 [1,0.7,1,0,1,1]
recall
0.955556 [0,0.9,0.971014,0,1,1]
recall
0.966667 [1,0.9,0.970588,0,1,1]
recall
0.922222 [0,0.9,0.955882,0,1,0.5]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.933333 [0,0.9,0.941176,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.955556 [1,0.9,0.955882,0,1,1]
recall
0.933333 [1,0.7,0.956522,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.94382 [0,0.9,0.941176,0,1,1]
recall
0.955056 [0,0.8,0.985507,0,1,0.75]
recall
0.977528 [0,0.9,0.985294,0,1,1]
recall
1 [0,1,1,0,1,1]
recall
0.988764 [0,0.9,1,0,1,1]
recall
0.966292 [0,1,0.955882,0,1,1]
recall
0.977528 [0,0.9,0.985507,0,1,1]
recall
0.988764 [0,1,0.985294,0,1,1]
recall
0.988764 [0,0.9,1,0,1,1]
recall
0.966292 [0,0.9,0.970588,0,1,1]
recall
0.966292 [0,0.9,0.985294,0,1,0.75]
recall
0.988764 [0,1,1,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.94382 [0,0.8,0.955882,0,1,1]
recall
0.955056 [0,0.777778,0.971014,0,1,1]
recall
0.988764 [0,1,1,0,1,0.75]
recall
0.988764 [0,0.9,1,0,1,1]
recall
0.988764 [0,1,0.985294,0,1,1]
recall
0.988764 [0,0.9,1,0,1,1]
recall
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