Run
52953

Run 52953

Task 1752 (Learning Curve) vehicle 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
0.845 ± 0.0382
Per class
Build CPU time
0.0315
Build memory
706052277.0667
F measure
0.7073 ± 0.0692
Per class
Kappa
0.6186 ± 0.0805
KB relative information score
0.6481 ± 0.0517
Mean absolute error
0.1538 ± 0.0227
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7026 ± 0.0726
Per class
Predictive accuracy
0.7139 ± 0.0603
Prior entropy
1.9991 ± 0.0005
Recall
0.7139 ± 0.0603
Per class
Relative absolute error
0.4102 ± 0.0604
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3428 ± 0.0282
Root relative squared error
0.7919 ± 0.065
SciMark benchmark
1862.469