Run
383283

Run 383283

Task 7394 (Supervised Classification) physionet_asystole Uploaded 03-04-2015 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
0.8792
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8722
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5788
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-557.2535
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3236
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2814
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1200
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
0.8908
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8633
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8633
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.1498
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3654
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9803
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
902.7704
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)