DEVELOPMENT... OpenML
Run
108389

Run 108389

Task 3916 (Supervised Classification) kc1-binary 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
0.7663
Per class
Build CPU time
3.3667
Build memory
777614727.5586
F measure
0.739
Per class
Kappa
0.465
KB relative information score
65.3447
Mean absolute error
0.2633
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7412
Per class
Predictive accuracy
0.7379
Prior entropy
0.979
Recall
0.7379
Per class
Relative absolute error
0.5426
Root mean prior squared error
0.4925
Root mean squared error
0.5101
Root relative squared error
1.0357
SciMark benchmark
943.7751