Run
56972

Run 56972

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9639 ± 0.0038
Per class
Build CPU time
5.8335
Build memory
1071952713.5556
F measure
0.865 ± 0.01
Per class
Kappa
0.8554 ± 0.0103
KB relative information score
0.852 ± 0.0094
Mean absolute error
0.0139 ± 0.0007
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8751 ± 0.0109
Per class
Predictive accuracy
0.861 ± 0.0099
Prior entropy
4.6998 ± 0.0001
Recall
0.861 ± 0.0099
Per class
Relative absolute error
0.1878 ± 0.0099
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0951 ± 0.0035
Root relative squared error
0.4946 ± 0.0184
SciMark benchmark
1717.8395