DEVELOPMENT... OpenML
Run
107864

Run 107864

Task 3834 (Supervised Classification) mfeat-fourier 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
0.995
Per class
Build CPU time
11.7378
Build memory
1144521332.8
F measure
0.9985
Per class
Kappa
0.9916
KB relative information score
1972.4518
Mean absolute error
0.0015
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9985
Per class
Predictive accuracy
0.9985
Prior entropy
0.4703
Recall
0.9985
Per class
Relative absolute error
0.0084
Root mean prior squared error
0.3
Root mean squared error
0.0387
Root relative squared error
0.1291
SciMark benchmark
905.7962