Run
304208

Run 304208

Task 1722 (Learning Curve) cmc Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.6682 ± 0.0313
Per class
F measure
0.512 ± 0.0351
Per class
Kappa
0.2462 ± 0.0558
KB relative information score
0.2007 ± 0.0322
Mean absolute error
0.3728 ± 0.0132
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.52 ± 0.0304
Per class
Predictive accuracy
0.5119 ± 0.0383
Prior entropy
1.539 ± 0.0029
Recall
0.5119 ± 0.0383
Per class
Relative absolute error
0.8653 ± 0.0311
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4518 ± 0.0117
Root relative squared error
0.9734 ± 0.0254
SciMark benchmark
1318.3496
UserCPU time millis
10
UserCPU time millis training
10