DEVELOPMENT... OpenML
Run
108208

Run 108208

Task 3701 (Supervised Classification) sleuth_case1102 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
0.4035
Per class
Build CPU time
0.1294
Build memory
1772049773.8824
F measure
0.4118
Per class
Kappa
-0.193
KB relative information score
-6.4607
Mean absolute error
0.5826
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4118
Per class
Predictive accuracy
0.4118
Prior entropy
0.9911
Recall
0.4118
Per class
Relative absolute error
1.1806
Root mean prior squared error
0.4965
Root mean squared error
0.7448
Root relative squared error
1.5001
SciMark benchmark
942.6219