DEVELOPMENT... OpenML
Run
20572

Run 20572

Task 36 (Supervised Classification) segment Uploaded 18-06-2014 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
0.9942
Per class
F measure
0.9862
Per class
Kappa
0.9838
KB relative information score
2275.2883
Mean absolute error
0.0041
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9862
Per class
Predictive accuracy
0.9861
Prior entropy
2.8074
Recall
0.9861
Per class
Relative absolute error
0.0165
Root mean prior squared error
0.3499
Root mean squared error
0.0625
Root relative squared error
0.1785
SciMark benchmark
935.866[528.5577773344239997.3887608680599481.2827140100982914.34953743383911757.751385454742]