Run
296984

Run 296984

Task 116 (Learning Curve) ionosphere Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.ConjunctiveRule(3)Weka implementation of ConjunctiveRule
weka.ConjunctiveRule(3)_N3
weka.ConjunctiveRule(3)_M2.0
weka.ConjunctiveRule(3)_P-1
weka.ConjunctiveRule(3)_S1

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
0.7355 ± 0.0701
Per class
F measure
0.7943 ± 0.0667
Per class
Kappa
0.545 ± 0.1426
KB relative information score
0.4199 ± 0.0968
Mean absolute error
0.2802 ± 0.0403
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8428 ± 0.0474
Per class
Predictive accuracy
0.8125 ± 0.0525
Prior entropy
0.9418 ± 0.0113
Recall
0.8125 ± 0.0525
Per class
Relative absolute error
0.6085 ± 0.0876
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3853 ± 0.0464
Root relative squared error
0.8032 ± 0.0964
SciMark benchmark
1340.7023