Run
54254

Run 54254

Task 1713 (Learning Curve) mfeat-fourier 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
0.6567 ± 0.0154
Per class
Build CPU time
0.0101
Build memory
1092441925.2364
F measure
0.353 ± 0.0201
Per class
Kappa
0.3133 ± 0.0308
KB relative information score
0.3537 ± 0.029
Mean absolute error
0.1236 ± 0.0055
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
0.3425 ± 0.0274
Per class
Predictive accuracy
0.382 ± 0.0277
Prior entropy
3.3219
Recall
0.382 ± 0.0277
Per class
Relative absolute error
0.6867 ± 0.0308
Root mean prior squared error
0.3
Root mean squared error
0.3516 ± 0.0079
Root relative squared error
1.1719 ± 0.0263
SciMark benchmark
1615.5755