DEVELOPMENT... OpenML
Run
106425

Run 106425

Task 2355 (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)_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
0.986
Per class
Build CPU time
0.101
Build memory
518639384
F measure
0.96
Per class
Kappa
0.9127
KB relative information score
20.4046
Mean absolute error
0.0291
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9667
Per class
Predictive accuracy
0.9583
Prior entropy
1.3146
Recall
0.9583
Per class
Relative absolute error
0.1253
Root mean prior squared error
0.3388
Root mean squared error
0.1519
Root relative squared error
0.4485
SciMark benchmark
937.4026