Run
54257

Run 54257

Task 1717 (Learning Curve) mfeat-morphological 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
0.7094 ± 0.0143
Per class
Build CPU time
0.0006
Build memory
703919387.4182
F measure
0.4703 ± 0.0272
Per class
Kappa
0.4189 ± 0.0286
KB relative information score
0.4531 ± 0.0269
Mean absolute error
0.1046 ± 0.0051
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4699 ± 0.0276
Per class
Predictive accuracy
0.477 ± 0.0257
Prior entropy
3.3219
Recall
0.477 ± 0.0257
Per class
Relative absolute error
0.5811 ± 0.0286
Root mean prior squared error
0.3
Root mean squared error
0.3234 ± 0.008
Root relative squared error
1.0781 ± 0.0267
SciMark benchmark
1615.5755