Run
437696

Run 437696

Task 7535 (Learning Curve) monks-problems-2 Uploaded 13-05-2015 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
0.5683 ± 0.0918
Per class
F measure
0.5469 ± 0.0582
Per class
Kappa
0.0127 ± 0.0798
KB relative information score
0.0044 ± 0.0609
Mean absolute error
0.438 ± 0.0246
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5662 ± 0.144
Per class
Predictive accuracy
0.6456 ± 0.0273
Prior entropy
0.9274 ± 0.0078
Recall
0.6456 ± 0.0273
Per class
Relative absolute error
0.9718 ± 0.054
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4728 ± 0.0187
Root relative squared error
0.9961 ± 0.0384
SciMark benchmark
941.3619
UserCPU time millis
380
UserCPU time millis testing
380