DEVELOPMENT... OpenML
Run
24186

Run 24186

Task 30 (Supervised Classification) page-blocks Uploaded 01-07-2014 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
0.9456
Per class
F measure
0.9716
Per class
Kappa
0.8502
KB relative information score
4396.0217
Mean absolute error
0.011
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9713
Per class
Predictive accuracy
0.972
Prior entropy
0.6391
Recall
0.972
Per class
Relative absolute error
0.1443
Root mean prior squared error
0.1949
Root mean squared error
0.1038
Root relative squared error
0.5327
SciMark benchmark
888.6132[535.5359706304147961.5543055220107457.49542741942486862.5995295771621625.8807341626664]