DEVELOPMENT... OpenML
Run
107768

Run 107768

Task 3725 (Supervised Classification) auto93 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)_I40
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
0.8938
Per class
Build CPU time
0.613
Build memory
505123755.2688
F measure
0.8154
Per class
Kappa
0.6039
KB relative information score
56.5458
Mean absolute error
0.1783
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8154
Per class
Predictive accuracy
0.8172
Prior entropy
0.9573
Recall
0.8172
Per class
Relative absolute error
0.3793
Root mean prior squared error
0.4845
Root mean squared error
0.4155
Root relative squared error
0.8576
SciMark benchmark
946.6735

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