Run
225809

Run 225809

Task 4550 (Supervised Classification) heart-c Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.8703
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.801
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6006
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
330.4003
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4556
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4961
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3030
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8033
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8007
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9943
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8007
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9185
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.498
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4648
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9334
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.0008
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)