Run
296704

Run 296704

Task 73 (Learning Curve) mfeat-fourier Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_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.

22 Evaluation measures

Area under ROC curve
0.9262 ± 0.0156
Per class
F measure
0.7296 ± 0.0305
Per class
Kappa
0.7002 ± 0.0343
KB relative information score
0.7181 ± 0.0287
Mean absolute error
0.0644 ± 0.0052
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
0.7304 ± 0.0287
Per class
Predictive accuracy
0.7302 ± 0.0309
Prior entropy
3.3219
Recall
0.7302 ± 0.0309
Per class
Relative absolute error
0.3576 ± 0.0289
Root mean prior squared error
0.3
Root mean squared error
0.2031 ± 0.0111
Root relative squared error
0.677 ± 0.0369
SciMark benchmark
1326.3522
UserCPU time millis
3560
UserCPU time millis training
3560