DEVELOPMENT... OpenML
Run
158989

Run 158989

Task 1717 (Learning Curve) mfeat-morphological 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
0.9426 ± 0.008
Per class
F measure
0.7055 ± 0.0212
Per class
Kappa
0.6861 ± 0.0176
KB relative information score
0.7074 ± 0.0226
Mean absolute error
0.0734 ± 0.0041
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
0.721 ± 0.0261
Per class
Predictive accuracy
0.7175 ± 0.0159
Prior entropy
3.3219
Recall
0.7175 ± 0.0159
Per class
Relative absolute error
0.4076 ± 0.023
Root mean prior squared error
0.3
Root mean squared error
0.1982 ± 0.0079
Root relative squared error
0.6605 ± 0.0265
SciMark benchmark
642.8724
UserCPU time millis
370
UserCPU time millis training
370

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