DEVELOPMENT... OpenML
Run
108057

Run 108057

Task 1785 (Supervised Classification) car 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)_I80
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
0.9838
Per class
Build CPU time
14.5264
Build memory
473689125.6
F measure
0.9743
Per class
Kappa
0.9439
KB relative information score
8045.2788
Mean absolute error
0.0129
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9747
Per class
Predictive accuracy
0.9742
Prior entropy
1.2099
Recall
0.9742
Per class
Relative absolute error
0.0565
Root mean prior squared error
0.3381
Root mean squared error
0.1131
Root relative squared error
0.3344
SciMark benchmark
912.091