228869
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1166
weka.A2DE(3)
1919
weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE -- -F 1 -M 1.0
F
1
1166
M
1.0
1166
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
760343
description
https://api.openml.org/data/download/760343/weka_generated_run1127423157545197359.xml
-1
760346
model_readable
https://api.openml.org/data/download/760346/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE7302169991859852353.model
-1
760345
model_serialized
https://api.openml.org/data/download/760345/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE1384016311050809802.model
-1
760344
predictions
https://api.openml.org/data/download/760344/weka_generated_predictions6166987265358088118.arff
area_under_roc_curve
0.993139 [0.935004,0.996228,0.99264,0.0,1,0.994174]
average_cost
0
f_measure
0.973447 [0.90411,0.906101,0.983036,0,0.991124,0.960409]
kappa
0.933447
kb_relative_information_score
7946.672042
mean_absolute_error
0.016044
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.973764 [1,0.95419,0.974978,0,0.982405,0.981723]
predictive_accuracy
0.973942
prior_entropy
1.214875
recall
0.973942 [0.825,0.862626,0.991228,0,1,0.94]
relative_absolute_error
0.119461
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.085458
root_relative_squared_error
0.330953
scimark_benchmark
918.021262 [502.084240498502, 989.450586616758, 434.1859290207269, 908.3298941433044, 1756.0556588021248]
total_cost
0
usercpu_time_millis
190
usercpu_time_millis_testing
80
usercpu_time_millis_training
110
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.996414 [1,0.995885,0.995859,0.0,1,1]
area_under_roc_curve
0.999332 [1,0.99875,0.99931,0.0,1,1]
area_under_roc_curve
0.998413 [1,1,0.99793,0.0,1,1]
area_under_roc_curve
0.997884 [1,1,0.997239,0.0,1,1]
area_under_roc_curve
0.998135 [1,0.9975,0.99793,0.0,1,1]
area_under_roc_curve
0.976036 [1,0.98875,0.972395,0.0,1,0.965116]
area_under_roc_curve
0.994544 [1,0.99375,0.993789,0.0,1,1]
area_under_roc_curve
0.978284 [1,0.987654,0.974465,0.0,1,0.979651]
area_under_roc_curve
0.999334 [1,0.998628,0.99931,0.0,1,1]
area_under_roc_curve
0.984403 [1,0.9975,0.981366,0.0,1,0.976744]
area_under_roc_curve
0.997563 [1,0.99625,0.997326,0.0,1,1]
area_under_roc_curve
0.997189 [1,0.99375,0.997239,0.0,1,1]
area_under_roc_curve
0.979753 [1,0.99375,0.975845,0.0,1,0.976744]
area_under_roc_curve
0.98455 [1,0.98,0.982747,0.0,1,1]
area_under_roc_curve
0.999332 [1,0.99875,0.99931,0.0,1,1]
area_under_roc_curve
0.995767 [1,1,0.994479,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.992482 [0.837079,0.99625,0.993099,0.0,1,1]
area_under_roc_curve
0.998942 [1,1,0.99862,0.0,1,1]
area_under_roc_curve
0.99542 [0.769663,1,0.997326,0.0,1,1]
area_under_roc_curve
0.984321 [0.786517,0.985,0.984817,0.0,1,1]
area_under_roc_curve
0.985071 [1,0.99875,0.982057,0.0,1,0.976744]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.996938 [1,0.99625,0.996549,0.0,1,1]
area_under_roc_curve
0.987867 [1,1,0.984626,0.0,1,0.988372]
area_under_roc_curve
0.984542 [1,0.99875,0.981366,0.0,1,0.976744]
area_under_roc_curve
0.994847 [0.808989,1,0.995989,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.999471 [1,1,0.99931,0.0,1,1]
area_under_roc_curve
0.997336 [1,0.99875,0.996658,0.0,1,1]
area_under_roc_curve
0.998942 [1,1,0.99862,0.0,1,1]
area_under_roc_curve
0.998942 [1,1,0.99862,0.0,1,1]
area_under_roc_curve
0.982278 [1,0.99875,0.97861,0.0,1,0.968023]
area_under_roc_curve
0.994279 [0.820225,0.994513,0.995859,0.0,1,1]
area_under_roc_curve
0.99154 [1,0.9875,0.990642,0.0,1,1]
area_under_roc_curve
0.998942 [1,1,0.99862,0.0,1,1]
area_under_roc_curve
0.998068 [1,0.99625,0.997995,0.0,1,1]
area_under_roc_curve
0.994266 [1,0.99125,0.993789,0.0,1,1]
area_under_roc_curve
0.992765 [0.803371,1,0.993316,0.0,1,1]
area_under_roc_curve
0.995126 [1,0.9925,0.994652,0.0,1,1]
area_under_roc_curve
0.998851 [1,0.99875,0.998663,0.0,1,1]
area_under_roc_curve
0.998207 [1,0.9975,0.997995,0.0,1,1]
area_under_roc_curve
0.991539 [0.808989,0.9975,0.991979,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.994482 [1,0.99125,0.993984,0.0,1,1]
area_under_roc_curve
0.987104 [1,1,0.983957,0.0,1,0.982558]
area_under_roc_curve
0.980456 [1,0.9925,0.976604,0.0,1,0.976744]
area_under_roc_curve
0.995126 [1,0.9925,0.994652,0.0,1,1]
area_under_roc_curve
0.995909 [1,0.995,0.995321,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.974832 [1,0.99875,0.968583,0.0,1,0.97093]
area_under_roc_curve
0.994212 [0.842697,1,0.994652,0.0,1,1]
area_under_roc_curve
0.985675 [1,0.9975,0.983289,0.0,1,0.968023]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.986677 [0.814607,0.985,0.987299,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.967152 [1,0.9975,0.963904,0.0,1,0.880814]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.996275 [1,0.99375,0.995989,0.0,1,1]
area_under_roc_curve
0.987836 [1,0.9975,0.985294,0.0,1,0.982558]
area_under_roc_curve
0.993333 [1,0.99,0.992647,0.0,1,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.977335 [1,0.98375,0.97393,0.0,1,0.973837]
area_under_roc_curve
0.996107 [0.831461,1,0.997326,0.0,1,1]
area_under_roc_curve
0.996692 [1,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.999495 [1,1,0.999332,0.0,1,1]
area_under_roc_curve
0.998712 [1,0.9975,0.998663,0.0,1,1]
area_under_roc_curve
0.99798 [1,1,0.997326,0.0,1,1]
area_under_roc_curve
0.994934 [1,0.9925,0.994479,0.0,1,1]
area_under_roc_curve
0.996692 [1,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.985282 [1,0.99375,0.981952,0.0,1,0.991279]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.991452 [1,0.99125,0.989973,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.995265 [1,0.99375,0.994652,0.0,1,1]
area_under_roc_curve
0.991204 [1,0.9875,0.990338,0.0,1,1]
area_under_roc_curve
0.999495 [1,1,0.999332,0.0,1,1]
area_under_roc_curve
0.990945 [0.0,0.986076,0.990196,0.0,1,1]
area_under_roc_curve
0.981926 [0.0,0.996203,0.978261,0.0,1,0.982353]
area_under_roc_curve
0.999323 [0.0,0.998734,0.9993,0.0,1,1]
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
0.99296 [0.0,0.987342,0.992754,0.0,1,1]
area_under_roc_curve
1 [0.0,1,1,0.0,1,1]
area_under_roc_curve
0.997049 [0.0,0.998734,0.996377,0.0,1,1]
area_under_roc_curve
0.99811 [0.0,0.997468,0.997899,0.0,1,1]
area_under_roc_curve
0.985408 [0.0,0.997468,0.981793,0.0,1,0.991176]
area_under_roc_curve
0.986286 [0.0,1,0.983333,0.0,1,0.982353]
area_under_roc_curve
0.983545 [0.0,0.997468,0.980392,0.0,1,0.973529]
area_under_roc_curve
0.991907 [0.0,0.989873,0.990896,0.0,1,1]
area_under_roc_curve
0.993258 [0.0,0.988889,0.992754,0.0,1,1]
area_under_roc_curve
0.990382 [0.0,1,0.988796,0.0,1,0.976471]
area_under_roc_curve
0.998592 [0.0,0.997468,0.998551,0.0,1,1]
area_under_roc_curve
0.999323 [0.0,0.998734,0.9993,0.0,1,1]
area_under_roc_curve
0.995918 [0.0,0.993671,0.995652,0.0,1,1]
area_under_roc_curve
0.99918 [0.0,0.997468,0.9993,0.0,1,1]
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
0.976548 [1,0.875,0.985714,0,1,1]
f_measure
0.977778 [1,0.888889,0.985507,0,1,1]
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
0.988602 [1,0.941176,0.992806,0,1,1]
f_measure
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f_measure
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f_measure
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f_measure
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0.977528 [0,0.9,0.985507,0,1,1]
f_measure
1 [0,1,1,0,1,1]
f_measure
0.97644 [0,0.888889,0.985714,0,1,1]
f_measure
0.988509 [0,0.947368,0.992701,0,1,1]
f_measure
0.965613 [0,0.9,0.978102,0,1,0.857143]
f_measure
0.9646 [0,0.888889,0.978723,0,1,0.857143]
f_measure
0.964605 [0,0.888889,0.978417,0,1,0.857143]
f_measure
0.965528 [0,0.842105,0.978102,0,1,1]
f_measure
0.965422 [0,0.823529,0.978417,0,1,1]
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
0.977528 [0,0.9,0.985294,0,1,1]
f_measure
0.988509 [0,0.947368,0.992806,0,1,1]
f_measure
0.976442 [0,0.888889,0.985507,0,1,1]
kappa
0.941406
kappa
0.943609
kappa
0.972265
kappa
0.91
kappa
0.94133
kappa
0.945586
kappa
0.877717
kappa
0.913766
kappa
0.913655
kappa
0.971264
kappa
0.887218
kappa
0.945619
kappa
0.943503
kappa
0.91009
kappa
0.850449
kappa
0.972265
kappa
0.971191
kappa
0.971218
kappa
0.972325
kappa
0.941157
kappa
0.943574
kappa
0.972248
kappa
0.85
kappa
0.941215
kappa
1
kappa
0.94133
kappa
0.972274
kappa
0.91009
kappa
0.943485
kappa
0.971218
kappa
0.94133
kappa
0.945669
kappa
0.943644
kappa
0.941406
kappa
0.916589
kappa
0.877717
kappa
0.917051
kappa
0.941406
kappa
0.945619
kappa
0.913655
kappa
0.972248
kappa
0.916974
kappa
0.972325
kappa
0.945619
kappa
0.891041
kappa
0.972325
kappa
0.891239
kappa
0.972274
kappa
0.850697
kappa
0.945619
kappa
0.943644
kappa
0.972325
kappa
0.886864
kappa
0.972248
kappa
0.916974
kappa
0.883041
kappa
0.972325
kappa
0.88697
kappa
0.972325
kappa
0.855538
kappa
0.972325
kappa
0.913903
kappa
0.913738
kappa
0.943644
kappa
0.943644
kappa
0.836562
kappa
0.943485
kappa
0.891337
kappa
0.973278
kappa
0.945619
kappa
0.913903
kappa
0.943503
kappa
0.891632
kappa
0.86124
kappa
0.972325
kappa
0.895288
kappa
0.972325
kappa
0.945619
kappa
0.856276
kappa
0.913903
kappa
0.890495
kappa
0.87656
kappa
0.971047
kappa
0.943167
kappa
1
kappa
0.972127
kappa
0.940824
kappa
1
kappa
0.938408
kappa
0.971047
kappa
0.912973
kappa
0.905487
kappa
0.909553
kappa
0.913142
kappa
0.909614
kappa
0.970991
kappa
0.96982
kappa
0.943167
kappa
0.96982
kappa
0.940981
kb_relative_information_score
80.223709
kb_relative_information_score
80.600065
kb_relative_information_score
80.392735
kb_relative_information_score
78.326333
kb_relative_information_score
80.835556
kb_relative_information_score
79.092246
kb_relative_information_score
70.658658
kb_relative_information_score
76.817359
kb_relative_information_score
73.377032
kb_relative_information_score
82.893293
kb_relative_information_score
76.41085
kb_relative_information_score
84.091139
kb_relative_information_score
79.930857
kb_relative_information_score
76.485989
kb_relative_information_score
73.360584
kb_relative_information_score
81.365841
kb_relative_information_score
80.357441
kb_relative_information_score
82.086039
kb_relative_information_score
83.888166
kb_relative_information_score
76.55837
kb_relative_information_score
81.742562
kb_relative_information_score
79.863066
kb_relative_information_score
70.65709
kb_relative_information_score
79.090958
kb_relative_information_score
85.100697
kb_relative_information_score
78.916613
kb_relative_information_score
80.44299
kb_relative_information_score
75.838687
kb_relative_information_score
80.935844
kb_relative_information_score
81.686114
kb_relative_information_score
82.687604
kb_relative_information_score
80.426608
kb_relative_information_score
81.297879
kb_relative_information_score
82.494912
kb_relative_information_score
79.62122
kb_relative_information_score
74.375941
kb_relative_information_score
78.639211
kb_relative_information_score
80.194344
kb_relative_information_score
83.20448
kb_relative_information_score
77.933812
kb_relative_information_score
78.701588
kb_relative_information_score
80.170783
kb_relative_information_score
84.134224
kb_relative_information_score
84.229633
kb_relative_information_score
76.952207
kb_relative_information_score
86.765662
kb_relative_information_score
80.740428
kb_relative_information_score
81.81061
kb_relative_information_score
76.615248
kb_relative_information_score
81.408474
kb_relative_information_score
79.683919
kb_relative_information_score
83.697973
kb_relative_information_score
77.46709
kb_relative_information_score
81.110546
kb_relative_information_score
80.63615
kb_relative_information_score
81.156036
kb_relative_information_score
86.553837
kb_relative_information_score
73.99068
kb_relative_information_score
87.059191
kb_relative_information_score
76.812993
kb_relative_information_score
84.934939
kb_relative_information_score
81.480491
kb_relative_information_score
79.836229
kb_relative_information_score
81.448108
kb_relative_information_score
85.464086
kb_relative_information_score
75.046484
kb_relative_information_score
80.346992
kb_relative_information_score
81.549905
kb_relative_information_score
85.254729
kb_relative_information_score
81.81024
kb_relative_information_score
81.230063
kb_relative_information_score
78.75731
kb_relative_information_score
82.443428
kb_relative_information_score
74.455104
kb_relative_information_score
83.899903
kb_relative_information_score
79.187197
kb_relative_information_score
84.790647
kb_relative_information_score
81.412974
kb_relative_information_score
75.051721
kb_relative_information_score
84.030225
kb_relative_information_score
72.361293
kb_relative_information_score
71.671192
kb_relative_information_score
80.845607
kb_relative_information_score
80.665776
kb_relative_information_score
80.390717
kb_relative_information_score
79.195412
kb_relative_information_score
72.670476
kb_relative_information_score
81.501292
kb_relative_information_score
75.900619
kb_relative_information_score
79.049506
kb_relative_information_score
75.483087
kb_relative_information_score
73.704362
kb_relative_information_score
74.696306
kb_relative_information_score
74.411384
kb_relative_information_score
72.662598
kb_relative_information_score
78.02113
kb_relative_information_score
74.939804
kb_relative_information_score
80.499952
kb_relative_information_score
74.440026
kb_relative_information_score
78.530558
mean_absolute_error
0.014526
mean_absolute_error
0.013961
mean_absolute_error
0.014848
mean_absolute_error
0.019578
mean_absolute_error
0.013278
mean_absolute_error
0.017938
mean_absolute_error
0.026175
mean_absolute_error
0.022031
mean_absolute_error
0.025824
mean_absolute_error
0.011593
mean_absolute_error
0.017195
mean_absolute_error
0.011645
mean_absolute_error
0.014518
mean_absolute_error
0.017978
mean_absolute_error
0.023706
mean_absolute_error
0.013915
mean_absolute_error
0.015576
mean_absolute_error
0.01346
mean_absolute_error
0.015073
mean_absolute_error
0.015393
mean_absolute_error
0.012622
mean_absolute_error
0.013304
mean_absolute_error
0.025858
mean_absolute_error
0.014715
mean_absolute_error
0.00676
mean_absolute_error
0.017763
mean_absolute_error
0.017407
mean_absolute_error
0.020124
mean_absolute_error
0.012723
mean_absolute_error
0.013905
mean_absolute_error
0.010159
mean_absolute_error
0.019458
mean_absolute_error
0.013897
mean_absolute_error
0.012223
mean_absolute_error
0.017988
mean_absolute_error
0.01629
mean_absolute_error
0.020925
mean_absolute_error
0.015299
mean_absolute_error
0.014752
mean_absolute_error
0.018777
mean_absolute_error
0.016319
mean_absolute_error
0.017353
mean_absolute_error
0.013618
mean_absolute_error
0.011309
mean_absolute_error
0.020273
mean_absolute_error
0.008763
mean_absolute_error
0.019169
mean_absolute_error
0.01621
mean_absolute_error
0.0218
mean_absolute_error
0.018126
mean_absolute_error
0.020612
mean_absolute_error
0.015889
mean_absolute_error
0.018634
mean_absolute_error
0.012639
mean_absolute_error
0.015613
mean_absolute_error
0.016358
mean_absolute_error
0.008655
mean_absolute_error
0.022583
mean_absolute_error
0.007722
mean_absolute_error
0.019015
mean_absolute_error
0.013328
mean_absolute_error
0.017293
mean_absolute_error
0.016415
mean_absolute_error
0.016969
mean_absolute_error
0.010092
mean_absolute_error
0.027446
mean_absolute_error
0.014624
mean_absolute_error
0.015599
mean_absolute_error
0.010702
mean_absolute_error
0.017221
mean_absolute_error
0.018289
mean_absolute_error
0.018198
mean_absolute_error
0.014706
mean_absolute_error
0.02752
mean_absolute_error
0.014033
mean_absolute_error
0.022367
mean_absolute_error
0.013244
mean_absolute_error
0.016656
mean_absolute_error
0.023883
mean_absolute_error
0.013659
mean_absolute_error
0.025086
mean_absolute_error
0.01784
mean_absolute_error
0.009042
mean_absolute_error
0.009413
mean_absolute_error
0.011427
mean_absolute_error
0.011339
mean_absolute_error
0.01903
mean_absolute_error
0.008025
mean_absolute_error
0.012615
mean_absolute_error
0.012098
mean_absolute_error
0.014935
mean_absolute_error
0.015265
mean_absolute_error
0.016703
mean_absolute_error
0.020047
mean_absolute_error
0.01921
mean_absolute_error
0.01164
mean_absolute_error
0.016762
mean_absolute_error
0.009081
mean_absolute_error
0.015166
mean_absolute_error
0.013276
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
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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
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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
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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
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0.135738
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mean_prior_absolute_error
0.13321
mean_prior_absolute_error
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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]
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90 [1,10,69,0,6,4]
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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
0.978404 [1,1,0.971831,0,1,1]
precision
0.977778 [1,0.888889,0.985507,0,1,1]
precision
0.989899 [1,0.909091,1,0,1,1]
precision
0.956944 [0,1,0.958333,0,1,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.980375 [1,0.909091,1,0,0.857143,1]
precision
0.957991 [1,1,0.945205,0,1,1]
precision
0.968571 [1,1,0.971429,0,0.857143,1]
precision
0.966984 [1,0.888889,0.971429,0,1,1]
precision
0.989048 [1,1,0.985714,0,1,1]
precision
0.96 [1,1,0.971014,0,1,0.6]
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
0.941534 [1,0.857143,0.944444,0,1,1]
precision
0.989899 [1,0.909091,1,0,1,1]
precision
0.977937 [0,1,0.985714,0,1,1]
precision
0.989048 [1,1,0.985714,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.967293 [0,1,0.971831,0,1,1]
precision
0.979365 [1,1,0.985507,0,0.857143,1]
precision
0.977939 [0,1,0.985507,0,1,1]
precision
0.932407 [0,0.875,0.944444,0,1,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
1 [1,1,1,0,1,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.967302 [0,1,0.971429,0,1,1]
precision
0.989048 [1,1,0.985714,0,1,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.979167 [1,1,0.985294,0,0.875,1]
precision
0.979167 [1,1,0.985507,0,0.875,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.956888 [0,0.909091,0.971014,0,1,1]
precision
0.94688 [0,1,0.945205,0,1,1]
precision
0.968378 [1,1,0.971014,0,0.875,1]
precision
0.978404 [1,1,0.971831,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.96575 [1,0.888889,0.971429,0,1,1]
precision
0.977939 [0,1,0.985507,0,1,1]
precision
0.965754 [1,0.888889,0.971014,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
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
0.978413 [1,1,0.971429,0,1,1]
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
0.966989 [1,1,0.971014,0,1,0.75]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.944162 [0,0.888889,0.957143,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.935211 [0,0.9,0.943662,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
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
0.978413 [1,1,0.971429,0,1,1]
precision
0.936364 [1,0.727273,0.955882,0,1,1]
precision
0.967302 [0,1,0.971429,0,1,1]
precision
0.95571 [1,0.888889,0.970588,0,0.875,1]
precision
0.989899 [1,0.909091,1,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.977778 [1,0.9,0.985507,0,1,1]
precision
0.962963 [1,1,0.970588,0,1,0.666667]
precision
0.946316 [1,0.9,0.956522,0,0.875,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.962626 [1,0.9,0.984848,0,1,0.666667]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.94373 [1,0.875,0.957143,0,0.857143,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.958163 [0,0.818182,0.984848,0,0.875,1]
precision
0.954757 [0,0.888889,0.957746,0,1,1]
precision
0.988927 [0,1,0.985507,0,1,1]
precision
0.977528 [0,0.9,0.985294,0,1,1]
precision
1 [0,1,1,0,1,1]
precision
0.990169 [0,1,1,0,0.875,1]
precision
0.977528 [0,0.9,0.985507,0,1,1]
precision
1 [0,1,1,0,1,1]
precision
0.978161 [0,1,0.971831,0,1,1]
precision
0.988927 [0,1,0.985507,0,1,1]
precision
0.966618 [0,0.9,0.971014,0,1,1]
precision
0.967697 [0,1,0.958333,0,1,1]
precision
0.967716 [0,1,0.957746,0,1,1]
precision
0.965369 [0,0.888889,0.971014,0,1,1]
precision
0.965209 [0,0.875,0.971429,0,1,1]
precision
0.988927 [0,1,0.985507,0,1,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.977528 [0,0.9,0.985294,0,1,1]
precision
0.988925 [0,1,0.985714,0,1,1]
precision
0.97817 [0,1,0.971429,0,1,1]
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.988889
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
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
1
predictive_accuracy
0.977778
predictive_accuracy
0.988889
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.988889
predictive_accuracy
0.966667
predictive_accuracy
0.988889
predictive_accuracy
0.977778
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
0.977778
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.988889
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
0.988889
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.988889
predictive_accuracy
0.977778
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.955056
predictive_accuracy
0.955056
predictive_accuracy
0.988764
predictive_accuracy
0.977528
predictive_accuracy
1
predictive_accuracy
0.988764
predictive_accuracy
0.977528
predictive_accuracy
1
predictive_accuracy
0.977528
predictive_accuracy
0.988764
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.988764
predictive_accuracy
0.988764
predictive_accuracy
0.977528
predictive_accuracy
0.988764
predictive_accuracy
0.977528
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
0.977778 [1,0.777778,1,0,1,1]
recall
0.977778 [1,0.888889,0.985507,0,1,1]
recall
0.988889 [1,1,0.985507,0,1,1]
recall
0.966667 [0,0.8,1,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.977778 [1,1,0.971014,0,1,1]
recall
0.955556 [1,0.7,1,0,1,0.75]
recall
0.966667 [1,0.8,0.985507,0,1,1]
recall
0.966667 [1,0.888889,0.985507,0,1,0.75]
recall
0.988889 [1,0.888889,1,0,1,1]
recall
0.955556 [1,0.9,0.971014,0,1,0.75]
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
0.944444 [1,0.6,0.985507,0,1,1]
recall
0.988889 [1,1,0.985507,0,1,1]
recall
0.988889 [0,1,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.988889 [0,1,1,0,1,1]
recall
0.944444 [0,0.7,0.985507,0,1,1]
recall
0.977778 [1,0.9,1,0,1,0.75]
recall
1 [1,1,1,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.988889 [1,1,1,0,1,0.75]
recall
0.966667 [1,0.8,1,0,1,0.75]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.977778 [1,0.888889,0.985507,0,1,1]
recall
0.977778 [1,0.777778,1,0,1,1]
recall
0.966667 [0,1,0.985294,0,1,0.75]
recall
0.955556 [0,0.666667,1,0,1,1]
recall
0.966667 [1,0.8,0.985294,0,1,1]
recall
0.977778 [1,0.777778,1,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.966667 [1,0.8,0.985507,0,1,1]
recall
0.988889 [0,1,1,0,1,1]
recall
0.966667 [1,0.8,0.985294,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
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
0.977778 [1,0.8,1,0,1,1]
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
0.966667 [1,0.9,0.985294,0,1,0.75]
recall
0.955556 [1,0.6,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.955556 [0,0.8,0.985294,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.944444 [0,0.9,0.985294,0,1,0.5]
recall
0.988889 [1,0.9,1,0,1,1]
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
0.977778 [1,0.8,1,0,1,1]
recall
0.933333 [1,0.8,0.955882,0,1,0.75]
recall
0.977778 [0,0.9,1,0,1,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.988889 [1,1,0.985294,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.966667 [1,0.7,1,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.944444 [1,0.9,0.970588,0,1,0.5]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.955556 [1,0.9,0.955882,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.944444 [1,0.7,0.971014,0,1,1]
recall
0.966667 [1,0.7,1,0,1,1]
recall
0.955056 [0,0.9,0.955882,0,1,1]
recall
0.955056 [0,0.8,0.985507,0,1,0.75]
recall
0.988764 [0,0.9,1,0,1,1]
recall
0.977528 [0,0.9,0.985294,0,1,1]
recall
1 [0,1,1,0,1,1]
recall
0.988764 [0,1,0.985294,0,1,1]
recall
0.977528 [0,0.9,0.985507,0,1,1]
recall
1 [0,1,1,0,1,1]
recall
0.977528 [0,0.8,1,0,1,1]
recall
0.988764 [0,0.9,1,0,1,1]
recall
0.966292 [0,0.9,0.985294,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.966292 [0,0.8,0.985294,0,1,1]
recall
0.966292 [0,0.777778,0.985507,0,1,1]
recall
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