Run
189465

Run 189465

Task 4198 (Supervised Classification) monks-problems-2 Uploaded 25-02-2015 by Joaquin Vanschoren
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Flow

weka.HNB(6)H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.

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
0.7086
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.593
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0978
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
478.1065
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4121
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6010
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6374
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6674
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6674
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9143
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4466
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9409
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1310.3951
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)