DEVELOPMENT... OpenML
Run
106540

Run 106540

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9981
Per class
Build CPU time
1.4033
Build memory
1278597285.7907
F measure
0.9936
Per class
Kappa
0.9824
KB relative information score
3955.3083
Mean absolute error
0.008
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9936
Per class
Predictive accuracy
0.9936
Prior entropy
0.7946
Recall
0.9936
Per class
Relative absolute error
0.0218
Root mean prior squared error
0.4269
Root mean squared error
0.0786
Root relative squared error
0.1841
SciMark benchmark
937.2031