359597
2
Joaquin Vanschoren
3517
Supervised Classification
predictive_accuracy
1168
weka.BayesNet_K2(6)
1921
weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
D
true
1168
Q
weka.classifiers.bayes.net.search.local.K2
1168
P
1
1169
S
BAYES
1169
study_1
weka
weka_3.7.12
382
ipums_la_97-small
https://www.openml.org/data/download/52422/ipums_la_97-small.arff
-1
1242869
description
https://api.openml.org/data/download/1242869/weka_generated_run1527266167259512415.xml
-1
1242872
model_readable
https://api.openml.org/data/download/1242872/WekaModel_weka.classifiers.bayes.BayesNet6724465565822222887.model
-1
1242871
model_serialized
https://api.openml.org/data/download/1242871/WekaSerialized_weka.classifiers.bayes.BayesNet5780876225589829080.model
-1
1242870
predictions
https://api.openml.org/data/download/1242870/weka_generated_predictions2388841441147699704.arff
area_under_roc_curve
0.697267 [0.725603,0.653749,0.608705,0.590141,0.663477,0.777738,0.854558,0.841162]
average_cost
0
f_measure
0.302545 [0.515677,0.154783,0.095652,0.166667,0.24024,0.364744,0.27148,0.183418]
kappa
0.199738
kb_relative_information_score
1745.657185
mean_absolute_error
0.176236
mean_prior_absolute_error
0.208156
number_of_instances
7019 [1938,869,528,889,1227,1000,310,258]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
precision
0.384763 [0.563647,0.316726,0.203704,0.270886,0.456621,0.343336,0.174884,0.104156]
predictive_accuracy
0.30275
prior_entropy
2.759053
recall
0.30275 [0.475232,0.102417,0.0625,0.12036,0.162999,0.389,0.606452,0.767442]
relative_absolute_error
0.846653
root_mean_prior_squared_error
0.322602
root_mean_squared_error
0.389057
root_relative_squared_error
1.205997
scimark_benchmark
1338.521428 [802.3185925050982, 973.209590625, 520.4758694962348, 1072.6022888144519, 3324.0007980177925]
total_cost
0
usercpu_time_millis
230
usercpu_time_millis_testing
200
usercpu_time_millis_training
30
area_under_roc_curve
0.696152 [0.731522,0.642893,0.565089,0.600088,0.659583,0.776171,0.890125,0.835372]
area_under_roc_curve
0.702417 [0.723237,0.697533,0.627947,0.577359,0.651375,0.79363,0.868107,0.841743]
area_under_roc_curve
0.696236 [0.711538,0.735585,0.62959,0.560945,0.64875,0.766105,0.853853,0.822186]
area_under_roc_curve
0.69937 [0.718078,0.687047,0.634532,0.559021,0.67823,0.766146,0.881833,0.838757]
area_under_roc_curve
0.697264 [0.724861,0.637697,0.58963,0.594981,0.675176,0.794826,0.857507,0.794464]
area_under_roc_curve
0.692687 [0.721644,0.612251,0.597334,0.58789,0.667277,0.792243,0.816259,0.887858]
area_under_roc_curve
0.686683 [0.738184,0.615896,0.620694,0.544449,0.648219,0.770125,0.853901,0.820835]
area_under_roc_curve
0.685988 [0.728788,0.602953,0.6385,0.643455,0.623163,0.736113,0.799096,0.854034]
area_under_roc_curve
0.691778 [0.706302,0.616354,0.633689,0.57703,0.691162,0.783173,0.813326,0.854034]
area_under_roc_curve
0.726723 [0.750719,0.700485,0.551336,0.656468,0.693814,0.800141,0.916683,0.874473]
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
0.293437 [0.536723,0.160714,0.058824,0.125984,0.207792,0.331797,0.323529,0.186441]
f_measure
0.289293 [0.519126,0.134615,0.109589,0.138462,0.21118,0.334975,0.28,0.175115]
f_measure
0.295897 [0.502732,0.175439,0.095238,0.133333,0.26506,0.339286,0.231884,0.171717]
f_measure
0.2966 [0.530055,0.093458,0.147059,0.140625,0.218182,0.361991,0.294118,0.187793]
f_measure
0.333732 [0.552846,0.206897,0.030769,0.186047,0.298851,0.411483,0.270677,0.181818]
f_measure
0.303347 [0.479532,0.196721,0.085714,0.151261,0.244186,0.412844,0.285714,0.187234]
f_measure
0.295645 [0.492997,0.118644,0.08,0.15873,0.243902,0.4,0.289855,0.171946]
f_measure
0.283132 [0.497143,0.15748,0.095238,0.251852,0.176471,0.292453,0.190476,0.171946]
f_measure
0.307318 [0.482759,0.118644,0.169014,0.206349,0.257669,0.40553,0.246753,0.193237]
f_measure
0.323532 [0.559322,0.178571,0.081081,0.170543,0.272727,0.357488,0.297297,0.207921]
kappa
0.198918
kappa
0.189846
kappa
0.186458
kappa
0.199553
kappa
0.22894
kappa
0.202267
kappa
0.193544
kappa
0.169434
kappa
0.204802
kappa
0.223708
kb_relative_information_score
173.017992
kb_relative_information_score
163.334636
kb_relative_information_score
170.200548
kb_relative_information_score
177.40753
kb_relative_information_score
189.059906
kb_relative_information_score
173.177288
kb_relative_information_score
174.577529
kb_relative_information_score
153.002228
kb_relative_information_score
174.455589
kb_relative_information_score
197.42394
mean_absolute_error
0.176769
mean_absolute_error
0.179363
mean_absolute_error
0.176628
mean_absolute_error
0.175494
mean_absolute_error
0.17156
mean_absolute_error
0.177248
mean_absolute_error
0.176763
mean_absolute_error
0.182771
mean_absolute_error
0.17672
mean_absolute_error
0.169038
mean_prior_absolute_error
0.208134
mean_prior_absolute_error
0.20812
mean_prior_absolute_error
0.20812
mean_prior_absolute_error
0.208151
mean_prior_absolute_error
0.208152
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208205
mean_prior_absolute_error
0.208173
number_of_instances
702 [194,87,52,89,123,100,31,26]
number_of_instances
702 [194,87,53,89,123,100,31,25]
number_of_instances
702 [194,87,53,89,123,100,31,25]
number_of_instances
702 [194,86,53,89,123,100,31,26]
number_of_instances
702 [194,87,53,88,123,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [193,87,53,89,123,100,31,26]
number_of_instances
701 [193,87,52,89,123,100,31,26]
precision
0.392046 [0.59375,0.36,0.125,0.210526,0.516129,0.307692,0.209524,0.104762]
precision
0.383322 [0.552326,0.411765,0.2,0.219512,0.447368,0.330097,0.176471,0.098958]
precision
0.384573 [0.534884,0.37037,0.3,0.195652,0.511628,0.306452,0.149533,0.098266]
precision
0.373997 [0.563953,0.238095,0.333333,0.230769,0.428571,0.330579,0.190476,0.106952]
precision
0.412496 [0.582857,0.413793,0.083333,0.292683,0.509804,0.394495,0.176471,0.103825]
precision
0.386544 [0.554054,0.342857,0.176471,0.3,0.42,0.381356,0.189474,0.105263]
precision
0.371985 [0.539877,0.225806,0.136364,0.27027,0.47619,0.390476,0.186916,0.097436]
precision
0.35753 [0.557692,0.25,0.3,0.369565,0.3125,0.276786,0.126316,0.097436]
precision
0.403161 [0.541935,0.225806,0.333333,0.351351,0.525,0.376068,0.154472,0.110497]
precision
0.405495 [0.614907,0.4,0.136364,0.275,0.45283,0.345794,0.188034,0.119318]
predictive_accuracy
0.299145
predictive_accuracy
0.293447
predictive_accuracy
0.294872
predictive_accuracy
0.304843
predictive_accuracy
0.331909
predictive_accuracy
0.301994
predictive_accuracy
0.296296
predictive_accuracy
0.276353
predictive_accuracy
0.304843
predictive_accuracy
0.323823
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
recall
0.299145 [0.489691,0.103448,0.038462,0.089888,0.130081,0.36,0.709677,0.846154]
recall
0.293447 [0.489691,0.08046,0.075472,0.101124,0.138211,0.34,0.677419,0.76]
recall
0.294872 [0.474227,0.114943,0.056604,0.101124,0.178862,0.38,0.516129,0.68]
recall
0.304843 [0.5,0.05814,0.09434,0.101124,0.146341,0.4,0.645161,0.769231]
recall
0.331909 [0.525773,0.137931,0.018868,0.136364,0.211382,0.43,0.580645,0.730769]
recall
0.301994 [0.42268,0.137931,0.056604,0.101124,0.172131,0.45,0.580645,0.846154]
recall
0.296296 [0.453608,0.08046,0.056604,0.11236,0.163934,0.41,0.645161,0.730769]
recall
0.276353 [0.448454,0.114943,0.056604,0.191011,0.122951,0.31,0.387097,0.730769]
recall
0.304843 [0.435233,0.08046,0.113208,0.146067,0.170732,0.44,0.612903,0.769231]
recall
0.323823 [0.512953,0.114943,0.057692,0.123596,0.195122,0.37,0.709677,0.807692]
relative_absolute_error
0.849305
relative_absolute_error
0.861825
relative_absolute_error
0.848681
relative_absolute_error
0.843106
relative_absolute_error
0.824205
relative_absolute_error
0.85146
relative_absolute_error
0.849131
relative_absolute_error
0.877991
relative_absolute_error
0.848776
relative_absolute_error
0.812007
root_mean_prior_squared_error
0.322567
root_mean_prior_squared_error
0.322546
root_mean_prior_squared_error
0.322546
root_mean_prior_squared_error
0.322594
root_mean_prior_squared_error
0.322596
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322678
root_mean_prior_squared_error
0.322627
root_mean_squared_error
0.391615
root_mean_squared_error
0.39343
root_mean_squared_error
0.389407
root_mean_squared_error
0.389608
root_mean_squared_error
0.382084
root_mean_squared_error
0.391019
root_mean_squared_error
0.388107
root_mean_squared_error
0.396925
root_mean_squared_error
0.389216
root_mean_squared_error
0.378834
root_relative_squared_error
1.214055
root_relative_squared_error
1.219762
root_relative_squared_error
1.207289
root_relative_squared_error
1.207734
root_relative_squared_error
1.184406
root_relative_squared_error
1.212002
root_relative_squared_error
1.202975
root_relative_squared_error
1.230308
root_relative_squared_error
1.206206
root_relative_squared_error
1.174215
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
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
20
usercpu_time_millis_training
30
usercpu_time_millis_training
20