Run
247441

Run 247441

Task 4590 (Supervised Classification) mfeat-pixel Uploaded 04-03-2015 by Joaquin Vanschoren
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Flow

weka.LBR(3)Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.

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
0.9732
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9892
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9394
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
18323.6331
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.011
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9891
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9893
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9893
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0609
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
0.1021
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3404
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
909.1698
UserCPU time millis
12935680
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
12935650
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10 times 10-fold Crossvalidation)