Run
461677

Run 461677

Task 89 (Learning Curve) page-blocks Uploaded 04-07-2015 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
0.9574 ± 0.0234
Per class
F measure
0.9646 ± 0.007
Per class
Kappa
0.8134 ± 0.0374
KB relative information score
0.7182 ± 0.0393
Mean absolute error
0.0201 ± 0.0023
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9642 ± 0.0073
Per class
Predictive accuracy
0.9661 ± 0.0067
Prior entropy
0.6355 ± 0.0053
Recall
0.9661 ± 0.0067
Per class
Relative absolute error
0.2641 ± 0.0299
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.109 ± 0.0098
Root relative squared error
0.5594 ± 0.0504
SciMark benchmark
944.4979