580334
1
Jan van Rijn
14
Supervised Classification
2236
weka.A1DE(28)
2874
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
2236
M
1.0
2236
study_70
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2004117
description
https://api.openml.org/data/download/2004117/weka_generated_run7958534426136423824.xml
-1
2004119
model_readable
https://api.openml.org/data/download/2004119/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5819687565972378243.model
-1
2004118
model_serialized
https://api.openml.org/data/download/2004118/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8239630468513727941.model
-1
2004120
predictions
https://api.openml.org/data/download/2004120/weka_generated_predictions3903735542102337664.arff
area_under_roc_curve
0.976705 [0.999978,0.962232,0.995694,0.990521,0.968944,0.993489,0.94029,0.992804,0.999529,0.923572]
average_cost
0
f_measure
0.820486 [0.997494,0.777506,0.957179,0.88946,0.804178,0.910448,0.496124,0.883721,0.982544,0.506203]
kappa
0.801667
kb_relative_information_score
1661.054892
mean_absolute_error
0.036734
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.821007 [1,0.760766,0.964467,0.915344,0.84153,0.905941,0.513369,0.826087,0.9801,0.502463]
predictive_accuracy
0.8215
prior_entropy
3.321928
recall
0.8215 [0.995,0.795,0.95,0.865,0.77,0.915,0.48,0.95,0.985,0.51]
relative_absolute_error
0.204077
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.171632
root_relative_squared_error
0.572106
scimark_benchmark
1316.035532 [734.726447661154, 908.5124758194479, 506.4819628337504, 1207.4804216461664, 3222.9763539042583]
total_cost
0
usercpu_time_millis
410
usercpu_time_millis_testing
250
usercpu_time_millis_training
160
area_under_roc_curve
0.977639 [1,0.977361,0.998333,0.993889,0.962222,1,0.916806,0.996944,0.999722,0.931111]
area_under_roc_curve
0.975889 [1,0.973194,1,0.968472,0.966389,0.996111,0.936111,0.989722,0.999444,0.929444]
area_under_roc_curve
0.980389 [1,0.967778,1,0.986944,0.995833,0.997222,0.912917,0.994306,1,0.948889]
area_under_roc_curve
0.982569 [1,0.976944,0.999167,0.998056,0.998333,0.996667,0.956389,0.994306,1,0.905833]
area_under_roc_curve
0.9755 [1,0.93625,0.999444,0.982778,0.978333,0.993889,0.96,0.991111,1,0.913194]
area_under_roc_curve
0.978958 [1,0.958611,1,0.992778,0.990278,0.996389,0.946389,0.993889,1,0.91125]
area_under_roc_curve
0.971319 [1,0.94875,0.97125,0.993889,0.939722,0.966667,0.961111,0.990278,1,0.941528]
area_under_roc_curve
0.977319 [1,0.948194,0.997222,0.996667,0.948889,0.997222,0.946389,0.990833,1,0.947778]
area_under_roc_curve
0.978375 [1,0.95,1,0.999444,0.982778,0.991389,0.946389,0.99375,1,0.92]
area_under_roc_curve
0.968361 [1,0.985278,0.991111,0.993611,0.919167,0.999722,0.921389,0.993333,0.995556,0.884444]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.810384 [0.974359,0.755556,0.926829,0.918919,0.871795,1,0.358974,0.871795,0.97561,0.45]
f_measure
0.784866 [1,0.772727,1,0.864865,0.756757,0.878049,0.428571,0.829268,0.95,0.368421]
f_measure
0.83823 [1,0.711111,1,0.864865,0.883721,0.947368,0.470588,0.9,1,0.604651]
f_measure
0.84544 [1,0.833333,0.974359,0.909091,0.871795,0.878049,0.55,0.926829,0.974359,0.536585]
f_measure
0.796839 [1,0.631579,0.947368,0.878049,0.702703,0.878049,0.578947,0.826087,0.97561,0.55]
f_measure
0.848138 [1,0.918919,0.97561,0.871795,0.8,0.904762,0.571429,0.952381,1,0.486486]
f_measure
0.813135 [1,0.731707,0.918919,0.878049,0.742857,0.829268,0.615385,0.851064,1,0.564103]
f_measure
0.84941 [1,0.85,0.95,0.926829,0.810811,0.947368,0.55,0.909091,1,0.55]
f_measure
0.825726 [1,0.8,1,0.918919,0.829268,0.871795,0.375,0.909091,1,0.553191]
f_measure
0.787137 [1,0.790698,0.878049,0.857143,0.742857,0.97561,0.439024,0.869565,0.95,0.368421]
kappa
0.788889
kappa
0.761111
kappa
0.822222
kappa
0.827778
kappa
0.777778
kappa
0.833333
kappa
0.794444
kappa
0.833333
kappa
0.811111
kappa
0.766667
kb_relative_information_score
162.284976
kb_relative_information_score
162.20787
kb_relative_information_score
168.018831
kb_relative_information_score
174.023531
kb_relative_information_score
161.345651
kb_relative_information_score
171.297986
kb_relative_information_score
162.808949
kb_relative_information_score
170.896495
kb_relative_information_score
168.819776
kb_relative_information_score
159.350828
mean_absolute_error
0.039341
mean_absolute_error
0.041343
mean_absolute_error
0.034595
mean_absolute_error
0.028823
mean_absolute_error
0.042883
mean_absolute_error
0.0307
mean_absolute_error
0.038841
mean_absolute_error
0.032478
mean_absolute_error
0.034394
mean_absolute_error
0.043943
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.814504 [1,0.68,0.904762,1,0.894737,1,0.368421,0.894737,0.952381,0.45]
precision
0.788769 [1,0.708333,1,0.941176,0.823529,0.857143,0.409091,0.809524,0.95,0.388889]
precision
0.844391 [1,0.64,1,0.941176,0.826087,1,0.571429,0.9,1,0.565217]
precision
0.850128 [1,0.9375,1,0.833333,0.894737,0.857143,0.55,0.904762,1,0.52381]
precision
0.798992 [1,0.666667,1,0.857143,0.764706,0.857143,0.611111,0.730769,0.952381,0.55]
precision
0.849471 [1,1,0.952381,0.894737,0.8,0.863636,0.545455,0.909091,1,0.529412]
precision
0.819889 [1,0.714286,1,0.857143,0.866667,0.809524,0.631579,0.740741,1,0.578947]
precision
0.852045 [1,0.85,0.95,0.904762,0.882353,1,0.55,0.833333,1,0.55]
precision
0.831908 [1,0.8,1,1,0.809524,0.894737,0.5,0.833333,1,0.481481]
precision
0.795201 [1,0.73913,0.857143,1,0.866667,0.952381,0.428571,0.769231,0.95,0.388889]
predictive_accuracy
0.81
predictive_accuracy
0.785
predictive_accuracy
0.84
predictive_accuracy
0.845
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.83
predictive_accuracy
0.79
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.81 [0.95,0.85,0.95,0.85,0.85,1,0.35,0.85,1,0.45]
recall
0.785 [1,0.85,1,0.8,0.7,0.9,0.45,0.85,0.95,0.35]
recall
0.84 [1,0.8,1,0.8,0.95,0.9,0.4,0.9,1,0.65]
recall
0.845 [1,0.75,0.95,1,0.85,0.9,0.55,0.95,0.95,0.55]
recall
0.8 [1,0.6,0.9,0.9,0.65,0.9,0.55,0.95,1,0.55]
recall
0.85 [1,0.85,1,0.85,0.8,0.95,0.6,1,1,0.45]
recall
0.815 [1,0.75,0.85,0.9,0.65,0.85,0.6,1,1,0.55]
recall
0.85 [1,0.85,0.95,0.95,0.75,0.9,0.55,1,1,0.55]
recall
0.83 [1,0.8,1,0.85,0.85,0.85,0.3,1,1,0.65]
recall
0.79 [1,0.85,0.9,0.75,0.65,1,0.45,1,0.95,0.35]
relative_absolute_error
0.218559
relative_absolute_error
0.229683
relative_absolute_error
0.192194
relative_absolute_error
0.160126
relative_absolute_error
0.238237
relative_absolute_error
0.170553
relative_absolute_error
0.215783
relative_absolute_error
0.180433
relative_absolute_error
0.191078
relative_absolute_error
0.244128
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.18248
root_mean_squared_error
0.181905
root_mean_squared_error
0.166867
root_mean_squared_error
0.150914
root_mean_squared_error
0.183166
root_mean_squared_error
0.157373
root_mean_squared_error
0.180198
root_mean_squared_error
0.158408
root_mean_squared_error
0.163287
root_mean_squared_error
0.187147
root_relative_squared_error
0.608266
root_relative_squared_error
0.60635
root_relative_squared_error
0.556223
root_relative_squared_error
0.503047
root_relative_squared_error
0.610554
root_relative_squared_error
0.524575
root_relative_squared_error
0.600659
root_relative_squared_error
0.528028
root_relative_squared_error
0.54429
root_relative_squared_error
0.623823
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
540
usercpu_time_millis
360
usercpu_time_millis
220
usercpu_time_millis
130
usercpu_time_millis
140
usercpu_time_millis
130
usercpu_time_millis
140
usercpu_time_millis
100
usercpu_time_millis
100
usercpu_time_millis
210
usercpu_time_millis_testing
120
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_training
420
usercpu_time_millis_training
330
usercpu_time_millis_training
200
usercpu_time_millis_training
110
usercpu_time_millis_training
110
usercpu_time_millis_training
110
usercpu_time_millis_training
130
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
180