Run
315564

Run 315564

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 21-03-2015 by Joaquin Vanschoren
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5386
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.6466
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2531
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2519
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4847
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6216
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3842
Cross-validation details (10-fold Crossvalidation)
Recall
0.6216
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0049
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3504
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3851
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.099
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.0414
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)