Run
56968

Run 56968

Task 1731 (Learning Curve) pendigits 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
0.9876 ± 0.0025
Per class
Build CPU time
0.5816
Build memory
1380570326.9
F measure
0.9639 ± 0.0044
Per class
Kappa
0.9599 ± 0.0049
KB relative information score
0.9584 ± 0.0043
Mean absolute error
0.0091 ± 0.0007
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9639 ± 0.0044
Per class
Predictive accuracy
0.9639 ± 0.0044
Prior entropy
3.3208 ± 0.0002
Recall
0.9639 ± 0.0044
Per class
Relative absolute error
0.0506 ± 0.0041
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0831 ± 0.0054
Root relative squared error
0.277 ± 0.018
SciMark benchmark
1732.6592