Run
439455

Run 439455

Task 69 (Learning Curve) lymph Uploaded 15-05-2015 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
0.7844 ± 0.1308
Per class
F measure
0.7604 ± 0.121
Per class
Kappa
0.5477 ± 0.2188
KB relative information score
0.5001 ± 0.1951
Mean absolute error
0.1377 ± 0.0514
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7616 ± 0.1174
Per class
Predictive accuracy
0.7595 ± 0.1167
Prior entropy
1.2302 ± 0.1357
Recall
0.7595 ± 0.1167
Per class
Relative absolute error
0.5144 ± 0.1886
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.3169 ± 0.0834
Root relative squared error
0.8708 ± 0.2244
SciMark benchmark
904.333