Run
266445

Run 266445

Task 3866 (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
0.897
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8519
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5944
Cross-validation details (10-fold Crossvalidation)
KB relative information score
163.5602
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1896
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3735
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8555
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8101
Cross-validation details (10-fold Crossvalidation)
Recall
0.8555
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4317
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.322
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7458
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1350.4702
UserCPU time millis
880
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
880
Cross-validation details (10-fold Crossvalidation)