DEVELOPMENT... OpenML
Run
106457

Run 106457

Task 3060 (Supervised Classification) squash-stored 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)_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
0.7156
Per class
Build CPU time
0.078
Build memory
1601185472
F measure
0.5784
Per class
Kappa
0.3
KB relative information score
6.6113
Mean absolute error
0.2674
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6353
Per class
Predictive accuracy
0.5882
Prior entropy
1.4782
Recall
0.5882
Per class
Relative absolute error
0.6422
Root mean prior squared error
0.4569
Root mean squared error
0.4858
Root relative squared error
1.0631
SciMark benchmark
945.7844

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