Run
54265

Run 54265

Task 1730 (Learning Curve) credit-g 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
0.51 ± 0.0251
Per class
Build CPU time
0.0004
Build memory
1305077458.4
F measure
0.6069 ± 0.0237
Per class
Kappa
0.0234 ± 0.0595
KB relative information score
0.1062 ± 0.0798
Mean absolute error
0.35 ± 0.0313
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5921 ± 0.0341
Per class
Predictive accuracy
0.65 ± 0.0313
Prior entropy
0.8813
Recall
0.65 ± 0.0313
Per class
Relative absolute error
0.833 ± 0.0744
Root mean prior squared error
0.4583
Root mean squared error
0.5916 ± 0.0266
Root relative squared error
1.291 ± 0.0581
SciMark benchmark
1615.5755