DEVELOPMENT... OpenML
Run
108006

Run 108006

Task 1773 (Supervised Classification) autos 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
0.8874
Per class
Build CPU time
3.1314
Build memory
558805562.841
F measure
0.7724
Per class
Kappa
0.7047
KB relative information score
735.2591
Mean absolute error
0.065
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7722
Per class
Predictive accuracy
0.7727
Prior entropy
2.3268
Recall
0.7727
Per class
Relative absolute error
0.2943
Root mean prior squared error
0.3318
Root mean squared error
0.2521
Root relative squared error
0.7599
SciMark benchmark
942.4591