DEVELOPMENT... OpenML
Run
17200

Run 17200

Task 11 (Supervised Classification) balance-scale Uploaded 06-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I160
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
0.9771
Per class
F measure
0.8607
Per class
Kappa
0.7639
KB relative information score
447.7734
Mean absolute error
0.1101
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8549
Per class
Predictive accuracy
0.8672
Prior entropy
1.3212
Recall
0.8672
Per class
Relative absolute error
0.2899
Root mean prior squared error
0.4356
Root mean squared error
0.2367
Root relative squared error
0.5435
SciMark benchmark
634.314[382.8447214471819918.4723367263962270.6002462278881588.29439115839521011.3580961362646]