DEVELOPMENT... OpenML
Run
108099

Run 108099

Task 3559 (Supervised Classification) confidence Uploaded 09-12-2014 by Felicia West
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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)_I80
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
0.8942
Per class
Build CPU time
0.1797
Build memory
182237297.1111
F measure
0.7909
Per class
Kappa
0.75
KB relative information score
56.0413
Mean absolute error
0.0677
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.792
Per class
Predictive accuracy
0.7917
Prior entropy
2.585
Recall
0.7917
Per class
Relative absolute error
0.2439
Root mean prior squared error
0.3727
Root mean squared error
0.2576
Root relative squared error
0.6913
SciMark benchmark
874.1478