DEVELOPMENT... OpenML
Run
107297

Run 107297

Task 3849 (Supervised Classification) analcatdata_marketing 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)_I20
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
0.5089
Per class
Build CPU time
4.5261
Build memory
2261712487.5385
F measure
0.594
Per class
Kappa
0.0394
KB relative information score
7.0295
Mean absolute error
0.4012
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5852
Per class
Predictive accuracy
0.6071
Prior entropy
0.901
Recall
0.6071
Per class
Relative absolute error
0.9274
Root mean prior squared error
0.4649
Root mean squared error
0.6033
Root relative squared error
1.2977
SciMark benchmark
930.9348