Run
54267

Run 54267

Task 1735 (Learning Curve) segment 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
0.7861 ± 0.0169
Per class
Build CPU time
0.0022
Build memory
1982022249.4
F measure
0.6192 ± 0.0257
Per class
Kappa
0.5722 ± 0.0338
KB relative information score
0.6043 ± 0.0313
Mean absolute error
0.1048 ± 0.0083
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6143 ± 0.0266
Per class
Predictive accuracy
0.6333 ± 0.029
Prior entropy
2.8074
Recall
0.6333 ± 0.029
Per class
Relative absolute error
0.4278 ± 0.0338
Root mean prior squared error
0.3499
Root mean squared error
0.3237 ± 0.013
Root relative squared error
0.925 ± 0.0371
SciMark benchmark
1615.5755