DEVELOPMENT... OpenML
Run
106536

Run 106536

Task 3597 (Supervised Classification) baskball 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
0.7438
Per class
Build CPU time
0.0427
Build memory
1235907984.1667
F measure
0.6872
Per class
Kappa
0.3742
KB relative information score
36.8814
Mean absolute error
0.3081
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6876
Per class
Predictive accuracy
0.6875
Prior entropy
0.9997
Recall
0.6875
Per class
Relative absolute error
0.6165
Root mean prior squared error
0.4999
Root mean squared error
0.5166
Root relative squared error
1.0334
SciMark benchmark
906.4221