Run
25606

Run 25606

Task 79 (Learning Curve) mfeat-pixel Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9419 ± 0.0141
Per class
Build CPU time
0.5812
Build memory
4813926343.3673
F measure
0.8651 ± 0.0273
Per class
Kappa
0.8501 ± 0.0302
KB relative information score
0.8487 ± 0.0286
Mean absolute error
0.0321 ± 0.0055
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8654 ± 0.0263
Per class
Predictive accuracy
0.8651 ± 0.0272
Prior entropy
3.3219
Recall
0.8651 ± 0.0272
Per class
Relative absolute error
0.1783 ± 0.0307
Root mean prior squared error
0.3
Root mean squared error
0.1578 ± 0.0159
Root relative squared error
0.5259 ± 0.0528
SciMark benchmark
1097.6583[671.6367185264136979.3926485492494532.8743266001283908.01528932595752396.3726319468265]