Run
52951

Run 52951

Task 1742 (Learning Curve) spambase 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
0.931 ± 0.0185
Per class
Build CPU time
0.308
Build memory
765851916.4571
F measure
0.9222 ± 0.0125
Per class
Kappa
0.8367 ± 0.0263
KB relative information score
0.7878 ± 0.0249
Mean absolute error
0.1078 ± 0.0116
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9222 ± 0.013
Per class
Predictive accuracy
0.9224 ± 0.0126
Prior entropy
0.9674 ± 0.0006
Recall
0.9224 ± 0.0126
Per class
Relative absolute error
0.2257 ± 0.0244
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2669 ± 0.0228
Root relative squared error
0.5462 ± 0.0469
SciMark benchmark
1862.469