DEVELOPMENT... OpenML
Run
23812

Run 23812

Task 7 (Supervised Classification) audiology Uploaded 27-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9229
Per class
F measure
0.6992
Per class
Kappa
0.6774
KB relative information score
69.1374
Mean absolute error
0.0625
Mean prior absolute error
0.0724
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7034
Per class
Predictive accuracy
0.7257
Prior entropy
3.6349
Recall
0.7257
Per class
Relative absolute error
0.8636
Root mean prior squared error
0.1893
Root mean squared error
0.1629
Root relative squared error
0.8605
SciMark benchmark
939.8955[559.58957837042081012.0561783624415470.52664044102374905.19332426036521752.112015678972]