Run
50660

Run 50660

Task 1713 (Learning Curve) mfeat-fourier Uploaded 06-11-2014 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.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8092 ± 0.0148
Per class
Build CPU time
0.0061
Build memory
540223378.9818
F measure
0.656 ± 0.0287
Per class
Kappa
0.6183 ± 0.0296
KB relative information score
0.6408 ± 0.0279
Mean absolute error
0.0687 ± 0.0053
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
0.6565 ± 0.0317
Per class
Predictive accuracy
0.6565 ± 0.0267
Prior entropy
3.3219
Recall
0.6565 ± 0.0267
Per class
Relative absolute error
0.3817 ± 0.0296
Root mean prior squared error
0.3
Root mean squared error
0.2621 ± 0.0102
Root relative squared error
0.8737 ± 0.034
SciMark benchmark
1615.5755