Run
52940

Run 52940

Task 1722 (Learning Curve) cmc Uploaded 07-11-2014 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.BFTree(2)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.6795 ± 0.0432
Per class
Build CPU time
0.0861
Build memory
3959608993.84
F measure
0.5338 ± 0.0534
Per class
Kappa
0.2775 ± 0.0795
KB relative information score
0.2339 ± 0.0362
Mean absolute error
0.3583 ± 0.0133
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
0.5428 ± 0.0571
Per class
Predictive accuracy
0.5343 ± 0.0502
Prior entropy
1.539 ± 0.0029
Recall
0.5343 ± 0.0502
Per class
Relative absolute error
0.8317 ± 0.0309
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4546 ± 0.0226
Root relative squared error
0.9795 ± 0.0482
SciMark benchmark
1629.4508