DEVELOPMENT... OpenML
Run
107201

Run 107201

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.8753
Per class
Build CPU time
1.0368
Build memory
319436840.8
F measure
0.8039
Per class
Kappa
0.6002
KB relative information score
147.2196
Mean absolute error
0.2007
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8038
Per class
Predictive accuracy
0.804
Prior entropy
0.9868
Recall
0.804
Per class
Relative absolute error
0.409
Root mean prior squared error
0.4954
Root mean squared error
0.4266
Root relative squared error
0.8613
SciMark benchmark
939.6177