Run
189703

Run 189703

Task 4444 (Supervised Classification) analcatdata_chlamydia Uploaded 25-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7659
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8285
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4668
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-26.4326
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.27
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3116
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
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
0.8382
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.822
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.714
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.822
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8666
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3923
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3862
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9843
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1073.494