Run
62617

Run 62617

Task 1705 (Learning Curve) letter Uploaded 16-11-2014 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_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
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
0.9985 ± 0.0004
Per class
Build CPU time
72.0733
Build memory
3914250417.1556
F measure
0.9508 ± 0.005
Per class
Kappa
0.9488 ± 0.0052
KB relative information score
0.9563 ± 0.0039
Mean absolute error
0.0042 ± 0.0003
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.951 ± 0.0049
Per class
Predictive accuracy
0.9508 ± 0.005
Prior entropy
4.6998 ± 0.0001
Recall
0.9508 ± 0.005
Per class
Relative absolute error
0.0562 ± 0.0046
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0554 ± 0.0025
Root relative squared error
0.288 ± 0.0131
SciMark benchmark
1613.7772