Run
25595

Run 25595

Task 69 (Learning Curve) lymph 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.

19 Evaluation measures

Area under ROC curve
0.7689 ± 0.1156
Per class
Build CPU time
0.0031
Build memory
3388366529.74
Kappa
0.5309 ± 0.2144
KB relative information score
0.4641 ± 0.1802
Mean absolute error
0.1519 ± 0.0443
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.7547 ± 0.111
Prior entropy
1.2302 ± 0.1357
Recall
0.7547 ± 0.111
Per class
Relative absolute error
0.5673 ± 0.1637
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.3203 ± 0.0727
Root relative squared error
0.8801 ± 0.1967
SciMark benchmark
1118.3307[653.5183749621522914.1152615681848530.1119687265572961.99627977443242531.9115295035886]