Run
52929

Run 52929

Task 1710 (Learning Curve) balance-scale 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
0.8298 ± 0.0368
Per class
Build CPU time
0.0078
Build memory
284247789.9
F measure
0.7811 ± 0.03
Per class
Kappa
0.6205 ± 0.0622
KB relative information score
0.5466 ± 0.0627
Mean absolute error
0.1634 ± 0.0223
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7782 ± 0.0258
Per class
Predictive accuracy
0.7856 ± 0.0408
Prior entropy
1.3181 ± 0.0124
Recall
0.7856 ± 0.0408
Per class
Relative absolute error
0.4304 ± 0.0586
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3479 ± 0.0305
Root relative squared error
0.7987 ± 0.0699
SciMark benchmark
1615.5755