Run
52960

Run 52960

Task 1719 (Learning Curve) mfeat-pixel 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
0.9297 ± 0.0195
Per class
Build CPU time
6.1933
Build memory
2155213720.8
F measure
0.8636 ± 0.0298
Per class
Kappa
0.8489 ± 0.0341
KB relative information score
0.8494 ± 0.033
Mean absolute error
0.0322 ± 0.0068
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
0.8652 ± 0.0284
Per class
Predictive accuracy
0.864 ± 0.0307
Prior entropy
3.3219
Recall
0.864 ± 0.0307
Per class
Relative absolute error
0.1787 ± 0.0378
Root mean prior squared error
0.3
Root mean squared error
0.159 ± 0.0174
Root relative squared error
0.5301 ± 0.0579
SciMark benchmark
1615.5755