Run
265998

Run 265998

Task 1914 (Supervised Classification) postoperative-patient-data 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
0.3997
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6003
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.0008
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-46.113
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2913
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
900
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
0.5786
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6911
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6911
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0147
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4015
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0694
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
765.566
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training