DEVELOPMENT... OpenML
Run
108043

Run 108043

Task 2275 (Supervised Classification) meta_instanceincremental.arff 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
0.8578
Per class
Build CPU time
0.9934
Build memory
773122324.8649
F measure
0.872
Per class
Kappa
0.6997
KB relative information score
48.2203
Mean absolute error
0.0604
Mean prior absolute error
0.2277
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8733
Per class
Predictive accuracy
0.8784
Prior entropy
1.3146
Recall
0.8784
Per class
Relative absolute error
0.2653
Root mean prior squared error
0.3317
Root mean squared error
0.242
Root relative squared error
0.7296
SciMark benchmark
939.521