Run
289723

Run 289723

Task 4198 (Supervised Classification) monks-problems-2 Uploaded 15-03-2015 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
0.5813
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5547
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0266
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
71.2581
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4356
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
0.5816
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6489
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6489
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9664
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
0.4739
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9985
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1337.3264
UserCPU time millis
300
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
300
Cross-validation details (10 times 10-fold Crossvalidation)