Run
50686

Run 50686

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.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9385 ± 0.0115
Per class
Build CPU time
0.0285
Build memory
180756407.4909
F measure
0.7573 ± 0.0258
Per class
Kappa
0.7322 ± 0.0267
KB relative information score
0.7459 ± 0.0198
Mean absolute error
0.0603 ± 0.0034
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
0.757 ± 0.0292
Per class
Predictive accuracy
0.759 ± 0.024
Prior entropy
3.3219
Recall
0.759 ± 0.024
Per class
Relative absolute error
0.3353 ± 0.0186
Root mean prior squared error
0.3
Root mean squared error
0.1925 ± 0.0093
Root relative squared error
0.6416 ± 0.0309
SciMark benchmark
1684.583