Run
54251

Run 54251

Task 1702 (Learning Curve) kr-vs-kp Uploaded 08-11-2014 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.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.6654 ± 0.0234
Per class
Build CPU time
0.0006
Build memory
693921566.1333
F measure
0.6624 ± 0.0261
Per class
Kappa
0.3355 ± 0.0472
KB relative information score
0.3442 ± 0.046
Mean absolute error
0.327 ± 0.023
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6872 ± 0.0242
Per class
Predictive accuracy
0.673 ± 0.023
Prior entropy
0.9986 ± 0.0002
Recall
0.673 ± 0.023
Per class
Relative absolute error
0.6552 ± 0.046
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.5718 ± 0.02
Root relative squared error
1.1448 ± 0.0399
SciMark benchmark
1615.5755