Run
53231

Run 53231

Task 1722 (Learning Curve) cmc 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.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
0.6058 ± 0.0217
Per class
Build CPU time
0.0016
Build memory
1207565995.36
F measure
0.4804 ± 0.0255
Per class
Kappa
0.1977 ± 0.039
KB relative information score
0.2577 ± 0.0349
Mean absolute error
0.3472 ± 0.017
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.48 ± 0.0269
Per class
Predictive accuracy
0.482 ± 0.0246
Prior entropy
1.539 ± 0.0029
Recall
0.482 ± 0.0246
Per class
Relative absolute error
0.8059 ± 0.0396
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5768 ± 0.0161
Root relative squared error
1.2427 ± 0.0349
SciMark benchmark
1597.1006