DEVELOPMENT... OpenML
Run
23024

Run 23024

Task 55 (Supervised Classification) vote Uploaded 23-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9695
Per class
F measure
0.9587
Per class
Kappa
0.9131
KB relative information score
395.2633
Mean absolute error
0.0423
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.959
Per class
Predictive accuracy
0.9586
Prior entropy
0.9627
Recall
0.9586
Per class
Relative absolute error
0.0893
Root mean prior squared error
0.4869
Root mean squared error
0.2033
Root relative squared error
0.4176
SciMark benchmark
944.946[543.715919599321014.9881711071126488.95344968331324910.22218605324211766.8500850997275]