Run
54722

Run 54722

Task 1742 (Learning Curve) spambase Uploaded 09-11-2014 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.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9751 ± 0.0058
Per class
Build CPU time
4.7753
Build memory
1804655035.6571
F measure
0.935 ± 0.0105
Per class
Kappa
0.8638 ± 0.0224
KB relative information score
0.8342 ± 0.0187
Mean absolute error
0.0815 ± 0.0084
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.935 ± 0.0106
Per class
Predictive accuracy
0.935 ± 0.0104
Prior entropy
0.9674 ± 0.0006
Recall
0.935 ± 0.0104
Per class
Relative absolute error
0.1706 ± 0.0177
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.23 ± 0.0196
Root relative squared error
0.4707 ± 0.0402
SciMark benchmark
1656.672