DEVELOPMENT... OpenML
Run
17869

Run 17869

Task 15 (Supervised Classification) breast-w Uploaded 09-06-2014 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)_I20
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
0.9752
Per class
F measure
0.9643
Per class
Kappa
0.9212
KB relative information score
639.1108
Mean absolute error
0.0372
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9645
Per class
Predictive accuracy
0.9642
Prior entropy
0.9297
Recall
0.9642
Per class
Relative absolute error
0.0823
Root mean prior squared error
0.4753
Root mean squared error
0.1883
Root relative squared error
0.3962
SciMark benchmark
942.2586[560.30860489012831013.919993711725472.80575397915436907.07263143401181757.185869335973]