Run
462917

Run 462917

Task 65 (Learning Curve) arrhythmia Uploaded 06-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.7708 ± 0.0512
Per class
F measure
0.6791
Per class
Kappa
0.5436 ± 0.0912
KB relative information score
0.4943 ± 0.0792
Mean absolute error
0.0465 ± 0.0062
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6603
Per class
Predictive accuracy
0.7033 ± 0.0583
Prior entropy
2.4124 ± 0.056
Recall
0.7033 ± 0.0583
Per class
Relative absolute error
0.544 ± 0.0717
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.1794 ± 0.0171
Root relative squared error
0.8728 ± 0.0817
SciMark benchmark
944.4979