Run
54273

Run 54273

Task 1752 (Learning Curve) vehicle 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
0.689 ± 0.0397
Per class
Build CPU time
0.0008
Build memory
938504540.2667
F measure
0.5258 ± 0.0619
Per class
Kappa
0.3782 ± 0.0794
KB relative information score
0.4375 ± 0.0719
Mean absolute error
0.2335 ± 0.0297
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.527 ± 0.0629
Per class
Predictive accuracy
0.5331 ± 0.0594
Prior entropy
1.9991 ± 0.0005
Recall
0.5331 ± 0.0594
Per class
Relative absolute error
0.6228 ± 0.0793
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4832 ± 0.0305
Root relative squared error
1.1161 ± 0.0705
SciMark benchmark
1615.5755