Run
241961

Run 241961

Task 3056 (Supervised Classification) SPECT Uploaded 02-03-2015 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
0.8757
Per class
Cross-validation details (33% Holdout set)
F measure
0.8214
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4827
Cross-validation details (33% Holdout set)
KB relative information score
32.8003
Cross-validation details (33% Holdout set)
Mean absolute error
0.1878
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3342
Cross-validation details (33% Holdout set)
Number of instances
88
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8255
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8182
Cross-validation details (33% Holdout set)
Prior entropy
0.738
Cross-validation details (33% Holdout set)
Recall
0.8182
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5618
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4115
Cross-validation details (33% Holdout set)
Root mean squared error
0.3686
Cross-validation details (33% Holdout set)
Root relative squared error
0.8956
Cross-validation details (33% Holdout set)
SciMark benchmark
1264.6103
UserCPU time millis
1430
Cross-validation details (33% Holdout set)
UserCPU time millis testing
1430
Cross-validation details (33% Holdout set)