DEVELOPMENT... OpenML
Run
19095

Run 19095

Task 15 (Supervised Classification) breast-w Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9324
Per class
F measure
0.9341
Per class
Kappa
0.8538
KB relative information score
591.9059
Mean absolute error
0.0662
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
0.934
Per class
Predictive accuracy
0.9342
Prior entropy
0.9297
Recall
0.9342
Per class
Relative absolute error
0.1465
Root mean prior squared error
0.4753
Root mean squared error
0.2535
Root relative squared error
0.5334
SciMark benchmark
939.2909[556.73178976750961005.7176405886515478.0684770170223902.69971088135311753.2370197795062]