Run
383264

Run 383264

Task 7394 (Supervised Classification) physionet_asystole Uploaded 03-04-2015 by Joaquin Vanschoren
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Flow

weka.OLM(3)Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
weka.OLM(3)_R0
weka.OLM(3)_C1
weka.OLM(3)_U0

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
0.6595
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8403
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3807
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
443.6091
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1442
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
0.8377
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8558
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8558
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5123
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
0.3797
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0187
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
933.799
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)