Run
437263

Run 437263

Task 116 (Learning Curve) ionosphere Uploaded 13-05-2015 by Joaquin Vanschoren
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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
0.8967 ± 0.068
Per class
F measure
0.8927 ± 0.0555
Per class
Kappa
0.7648 ± 0.1221
KB relative information score
0.7124 ± 0.1153
Mean absolute error
0.1362 ± 0.0506
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8938 ± 0.0533
Per class
Predictive accuracy
0.894 ± 0.0536
Prior entropy
0.9418 ± 0.0113
Recall
0.894 ± 0.0536
Per class
Relative absolute error
0.2957 ± 0.1099
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3098 ± 0.0768
Root relative squared error
0.6459 ± 0.1604
SciMark benchmark
921.1883
UserCPU time millis
10
UserCPU time millis training
10