315449
2
Joaquin Vanschoren
265
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
weka
weka_3.7.12
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
1072317
description
https://api.openml.org/data/download/1072317/weka_generated_run575899522206844913.xml
-1
1072320
model_readable
https://api.openml.org/data/download/1072320/WekaModel_weka.classifiers.bayes.BayesNet5264342107201405382.model
-1
1072319
model_serialized
https://api.openml.org/data/download/1072319/WekaSerialized_weka.classifiers.bayes.BayesNet1420046779469299249.model
-1
1072318
predictions
https://api.openml.org/data/download/1072318/weka_generated_predictions1094554956662952987.arff
area_under_roc_curve
1 [1,1,1,1,1,1]
average_cost
0
f_measure
0.98349 [1,0.947368,1,0.928571,1,1]
kappa
0.978947
kb_relative_information_score
115.682301
mean_absolute_error
0.009263
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.985556 [1,1,1,0.866667,1,1]
predictive_accuracy
0.983333
prior_entropy
2.437791
recall
0.983333 [1,0.9,1,1,1,1]
relative_absolute_error
0.034914
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.060592
root_relative_squared_error
0.166775
scimark_benchmark
918.021262 [502.084240498502, 989.450586616758, 434.1859290207269, 908.3298941433044, 1756.0556588021248]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
1 [1,1,1,1,1,1]
average_cost
0
f_measure
0.98349 [1,0.947368,1,0.928571,1,1]
kappa
0.978947
kb_relative_information_score
115.682301
mean_absolute_error
0.009263
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
precision
0.985556 [1,1,1,0.866667,1,1]
predictive_accuracy
0.983333
prior_entropy
2.437791
recall
0.983333 [1,0.9,1,1,1,1]
relative_absolute_error
0.034914
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.060592
root_relative_squared_error
0.166775
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10