Run
461675

Run 461675

Task 87 (Learning Curve) optdigits 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
0.9107 ± 0.0096
Per class
F measure
0.783 ± 0.0181
Per class
Kappa
0.7601 ± 0.02
KB relative information score
0.7743 ± 0.0176
Mean absolute error
0.0493 ± 0.0034
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7826 ± 0.0181
Per class
Predictive accuracy
0.7841 ± 0.018
Prior entropy
3.3218 ± 0.0001
Recall
0.7841 ± 0.018
Per class
Relative absolute error
0.2737 ± 0.0189
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1911 ± 0.0081
Root relative squared error
0.637 ± 0.0271
SciMark benchmark
944.4979