Run
54250

Run 54250

Task 2102 (Learning Curve) eucalyptus 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
0.736 ± 0.022
Per class
Build CPU time
0.0005
Build memory
3716486913.3
F measure
0.5877 ± 0.0319
Per class
Kappa
0.4689 ± 0.0458
KB relative information score
0.5081 ± 0.0441
Mean absolute error
0.1663 ± 0.015
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.621 ± 0.0355
Per class
Predictive accuracy
0.5842 ± 0.0375
Prior entropy
2.2621 ± 0.0043
Recall
0.5842 ± 0.0375
Per class
Relative absolute error
0.5309 ± 0.0476
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.4078 ± 0.0184
Root relative squared error
1.0305 ± 0.046
SciMark benchmark
1615.5755