Run
54558

Run 54558

Task 1710 (Learning Curve) balance-scale 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_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
0.9432 ± 0.023
Per class
Build CPU time
0.0806
Build memory
828767061.8
F measure
0.8085 ± 0.0196
Per class
Kappa
0.6494 ± 0.0491
KB relative information score
0.5863 ± 0.0575
Mean absolute error
0.1381 ± 0.0257
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8207 ± 0.0205
Per class
Predictive accuracy
0.7968 ± 0.0324
Prior entropy
1.3181 ± 0.0124
Recall
0.7968 ± 0.0324
Per class
Relative absolute error
0.3637 ± 0.0681
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3468 ± 0.0355
Root relative squared error
0.7963 ± 0.0826
SciMark benchmark
1853.1129