Run
304211

Run 304211

Task 1721 (Learning Curve) mfeat-zernike 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
0.8571 ± 0.0141
Per class
F measure
0.6289 ± 0.0326
Per class
Kappa
0.5906 ± 0.0372
KB relative information score
0.6526 ± 0.0262
Mean absolute error
0.0766 ± 0.0046
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
0.6268 ± 0.0315
Per class
Predictive accuracy
0.6315 ± 0.0335
Prior entropy
3.3219
Recall
0.6315 ± 0.0335
Per class
Relative absolute error
0.4257 ± 0.0255
Root mean prior squared error
0.3
Root mean squared error
0.2383 ± 0.0109
Root relative squared error
0.7945 ± 0.0363
SciMark benchmark
1340.1614
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70