Run
54247

Run 54247

Task 2097 (Learning Curve) satimage 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
0.7458 ± 0.0082
Per class
Build CPU time
0.0062
Build memory
2212429125.8857
F measure
0.5636 ± 0.0163
Per class
Kappa
0.4979 ± 0.0167
KB relative information score
0.5513 ± 0.0157
Mean absolute error
0.136 ± 0.0047
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.582 ± 0.0213
Per class
Predictive accuracy
0.5919 ± 0.014
Prior entropy
2.4834 ± 0.0009
Recall
0.5919 ± 0.014
Per class
Relative absolute error
0.5036 ± 0.0172
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.3688 ± 0.0063
Root relative squared error
1.0036 ± 0.0172
SciMark benchmark
1615.5755