Run
52926

Run 52926

Task 2102 (Learning Curve) eucalyptus Uploaded 07-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.8193 ± 0.0408
Per class
Build CPU time
0.1571
Build memory
215835259.6
F measure
0.6195 ± 0.0738
Per class
Kappa
0.5155 ± 0.0952
KB relative information score
0.5264 ± 0.0782
Mean absolute error
0.1675 ± 0.026
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6224 ± 0.074
Per class
Predictive accuracy
0.625 ± 0.0732
Prior entropy
2.2621 ± 0.0043
Recall
0.625 ± 0.0732
Per class
Relative absolute error
0.5347 ± 0.0828
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3497 ± 0.0325
Root relative squared error
0.8837 ± 0.082
SciMark benchmark
1615.5755