DEVELOPMENT... OpenML
Run
106554

Run 106554

Task 3622 (Supervised Classification) autoPrice 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
0.9848
Per class
Build CPU time
0.047
Build memory
1244398374.9434
F measure
0.9747
Per class
Kappa
0.9434
KB relative information score
149.4244
Mean absolute error
0.025
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.975
Per class
Predictive accuracy
0.9748
Prior entropy
0.9264
Recall
0.9748
Per class
Relative absolute error
0.0556
Root mean prior squared error
0.4736
Root mean squared error
0.1575
Root relative squared error
0.3326
SciMark benchmark
933.9589