Run
189993

Run 189993

Task 4590 (Supervised Classification) mfeat-pixel 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
0.9814
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9708
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.846
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
15248.7553
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0308
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
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
0.9743
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9695
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9695
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1706
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1695
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.565
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.0694
UserCPU time millis
7620
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
6780
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
840
Cross-validation details (10 times 10-fold Crossvalidation)