Run
59079

Run 59079

Task 1711 (Learning Curve) mfeat-factors Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.FilteredClassifier_Discretize_J48(3)Weka implementation of FilteredClassifier
weka.Discretize(2)_Rfirst-last
weka.Discretize(2)_precision6
weka.J48(13)_C0.25
weka.J48(13)_M2
weka.FilteredClassifier_Discretize_J48(3)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(3)_Wweka.classifiers.trees.J48

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.

21 Evaluation measures

Area under ROC curve
0.9116 ± 0.0118
Per class
Build CPU time
0.0569
Build memory
2937782055.0546
F measure
0.801 ± 0.0283
Per class
Kappa
0.7778 ± 0.0322
KB relative information score
0.7915 ± 0.0281
Mean absolute error
0.0443 ± 0.005
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8024 ± 0.0262
Per class
Predictive accuracy
0.8 ± 0.029
Prior entropy
3.3219
Recall
0.8 ± 0.029
Per class
Relative absolute error
0.2461 ± 0.028
Root mean prior squared error
0.3
Root mean squared error
0.1867 ± 0.0138
Root relative squared error
0.6222 ± 0.046
SciMark benchmark
1769.7895