DEVELOPMENT... OpenML
Run
16005

Run 16005

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 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)_I40
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
0.977
Per class
F measure
0.9495
Per class
Kappa
0.8936
KB relative information score
382.3828
Mean absolute error
0.0575
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
0.9496
Per class
Predictive accuracy
0.9494
Prior entropy
0.9627
Recall
0.9494
Per class
Relative absolute error
0.1212
Root mean prior squared error
0.4869
Root mean squared error
0.2012
Root relative squared error
0.4132
SciMark benchmark
945.8883[562.47681402932691014.7209476623404479.7774192424144906.75889678256981765.707548606275]