DEVELOPMENT... OpenML
Run
106519

Run 106519

Task 3564 (Supervised Classification) analcatdata_germangss 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
0.64
Per class
Build CPU time
0.8765
Build memory
1055667267.2
F measure
0.3307
Per class
Kappa
0.11
KB relative information score
58.9759
Mean absolute error
0.3483
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3303
Per class
Predictive accuracy
0.3325
Prior entropy
2
Recall
0.3325
Per class
Relative absolute error
0.9288
Root mean prior squared error
0.433
Root mean squared error
0.4336
Root relative squared error
1.0014
SciMark benchmark
937.2031