Run
304156

Run 304156

Task 75 (Learning Curve) mfeat-karhunen Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.8777 ± 0.016
Per class
F measure
0.722 ± 0.0292
Per class
Kappa
0.692 ± 0.0321
KB relative information score
0.7109 ± 0.0286
Mean absolute error
0.0611 ± 0.0055
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.722 ± 0.029
Per class
Predictive accuracy
0.7228 ± 0.0289
Prior entropy
3.3219
Recall
0.7228 ± 0.0289
Per class
Relative absolute error
0.3393 ± 0.0305
Root mean prior squared error
0.3
Root mean squared error
0.2192 ± 0.0113
Root relative squared error
0.7306 ± 0.0378
SciMark benchmark
1342.2505
UserCPU time millis
80
UserCPU time millis training
80