Run
266037

Run 266037

Task 2111 (Supervised Classification) primary-tumor Uploaded 05-03-2015 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
0.8336
Per class
Cross-validation details (33% Holdout set)
F measure
0.416
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3956
Cross-validation details (33% Holdout set)
KB relative information score
43.7299
Cross-validation details (33% Holdout set)
Mean absolute error
0.0556
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0811
Cross-validation details (33% Holdout set)
Number of instances
111
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3986
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4685
Cross-validation details (33% Holdout set)
Prior entropy
3.7542
Cross-validation details (33% Holdout set)
Recall
0.4685
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6853
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2009
Cross-validation details (33% Holdout set)
Root mean squared error
0.1756
Cross-validation details (33% Holdout set)
Root relative squared error
0.8739
Cross-validation details (33% Holdout set)
SciMark benchmark
1299.9482
UserCPU time millis
7000
Cross-validation details (33% Holdout set)
UserCPU time millis testing
7000
Cross-validation details (33% Holdout set)