DEVELOPMENT... OpenML
Run
106629

Run 106629

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.706
Per class
Build CPU time
0.0836
Build memory
52215137.6
F measure
0.6686
Per class
Kappa
0.3151
KB relative information score
19.0716
Mean absolute error
0.3216
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6719
Per class
Predictive accuracy
0.6667
Prior entropy
0.9728
Recall
0.6667
Per class
Relative absolute error
0.669
Root mean prior squared error
0.4899
Root mean squared error
0.5299
Root relative squared error
1.0817
SciMark benchmark
930.8778