DEVELOPMENT... OpenML
Run
158988

Run 158988

Task 1713 (Learning Curve) mfeat-fourier Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9332 ± 0.0126
Per class
F measure
0.7447 ± 0.0348
Per class
Kappa
0.7133 ± 0.0413
KB relative information score
0.7317 ± 0.0339
Mean absolute error
0.0616 ± 0.0055
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
0.7534 ± 0.0353
Per class
Predictive accuracy
0.742 ± 0.0372
Prior entropy
3.3219
Recall
0.742 ± 0.0372
Per class
Relative absolute error
0.3423 ± 0.0308
Root mean prior squared error
0.3
Root mean squared error
0.1971 ± 0.0146
Root relative squared error
0.6569 ± 0.0487
SciMark benchmark
642.8724
UserCPU time millis
7260
UserCPU time millis training
7260