Run
225548

Run 225548

Task 3880 (Supervised Classification) arrhythmia Uploaded 01-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4925
Cross-validation details (10-fold Crossvalidation)
KB relative information score
49.0799
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4428
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4965
Cross-validation details (10-fold Crossvalidation)
Number of instances
452
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7582
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7522
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9949
Cross-validation details (10-fold Crossvalidation)
Recall
0.7522
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8919
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9911
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1321.6263
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)