DEVELOPMENT... OpenML
Run
108058

Run 108058

Task 3059 (Supervised Classification) pasture 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
0.9435
Per class
Build CPU time
0.182
Build memory
1486944592
F measure
0.9177
Per class
Kappa
0.8451
KB relative information score
9.6307
Mean absolute error
0.0606
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9545
Per class
Predictive accuracy
0.9091
Prior entropy
1.585
Recall
0.9091
Per class
Relative absolute error
0.1364
Root mean prior squared error
0.4714
Root mean squared error
0.2462
Root relative squared error
0.5222
SciMark benchmark
912.091