Run
469256

Run 469256

Task 4564 (Supervised Classification) prnn_fglass Uploaded 22-07-2015 by Joaquin Vanschoren
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Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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
0.7433
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7372
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4166
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
602.7478
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3311
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4584
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2140
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7376
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7444
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9397
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7444
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7222
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4786
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4398
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9191
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.695