DEVELOPMENT... OpenML
Run
17186

Run 17186

Task 55 (Supervised Classification) vote 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)_I20
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
0.9654
Per class
F measure
0.9495
Per class
Kappa
0.8938
KB relative information score
385.0305
Mean absolute error
0.0534
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9498
Per class
Predictive accuracy
0.9494
Prior entropy
0.9627
Recall
0.9494
Per class
Relative absolute error
0.1127
Root mean prior squared error
0.4869
Root mean squared error
0.2246
Root relative squared error
0.4613
SciMark benchmark
905.9971[545.24560940242421014.9881711071126480.85168147774846912.7575910626911576.1424151846238]