Run
58924

Run 58924

Task 2097 (Learning Curve) satimage 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
0.9392 ± 0.0084
Per class
Build CPU time
0.0293
Build memory
3463993740.1143
F measure
0.8417 ± 0.0073
Per class
Kappa
0.8083 ± 0.009
KB relative information score
0.7964 ± 0.0087
Mean absolute error
0.0648 ± 0.0024
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8407 ± 0.0074
Per class
Predictive accuracy
0.8453 ± 0.0073
Prior entropy
2.4834 ± 0.0009
Recall
0.8453 ± 0.0073
Per class
Relative absolute error
0.24 ± 0.0089
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2084 ± 0.0059
Root relative squared error
0.5672 ± 0.0161
SciMark benchmark
1769.7895