Run
50691

Run 50691

Task 1717 (Learning Curve) mfeat-morphological 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
0.9406 ± 0.0132
Per class
Build CPU time
0.0021
Build memory
954142860.1455
F measure
0.6953 ± 0.0292
Per class
Kappa
0.6811 ± 0.0307
KB relative information score
0.7302 ± 0.0225
Mean absolute error
0.0697 ± 0.0042
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
0.7087 ± 0.0565
Per class
Predictive accuracy
0.713 ± 0.0276
Prior entropy
3.3219
Recall
0.713 ± 0.0276
Per class
Relative absolute error
0.3873 ± 0.0232
Root mean prior squared error
0.3
Root mean squared error
0.1982 ± 0.0091
Root relative squared error
0.6608 ± 0.0303
SciMark benchmark
1316.1996