DEVELOPMENT... OpenML
Run
17161

Run 17161

Task 15 (Supervised Classification) breast-w Uploaded 06-06-2014 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)_I80
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
0.9318
Per class
F measure
0.9355
Per class
Kappa
0.8571
KB relative information score
594.727
Mean absolute error
0.0645
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
0.9355
Per class
Predictive accuracy
0.9356
Prior entropy
0.9297
Recall
0.9356
Per class
Relative absolute error
0.1427
Root mean prior squared error
0.4753
Root mean squared error
0.2511
Root relative squared error
0.5282
SciMark benchmark
907.3518[557.7999961202322865.6581073265332475.52784454289576899.60191115807121738.1709066016394]