Run
304210

Run 304210

Task 1719 (Learning Curve) mfeat-pixel 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
0.9161 ± 0.0125
Per class
F measure
0.7967 ± 0.0228
Per class
Kappa
0.7733 ± 0.0256
KB relative information score
0.7913 ± 0.0193
Mean absolute error
0.045 ± 0.0032
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7988 ± 0.0253
Per class
Predictive accuracy
0.796 ± 0.0231
Prior entropy
3.3219
Recall
0.796 ± 0.0231
Per class
Relative absolute error
0.25 ± 0.0179
Root mean prior squared error
0.3
Root mean squared error
0.1837 ± 0.01
Root relative squared error
0.6122 ± 0.0335
SciMark benchmark
1322.4917
UserCPU time millis
110
UserCPU time millis testing
10
UserCPU time millis training
100