DEVELOPMENT... OpenML
Run
22273

Run 22273

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I80
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.8172
Per class
F measure
0.6748
Per class
Kappa
0.5833
KB relative information score
453.1869
Mean absolute error
0.1299
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6761
Per class
Predictive accuracy
0.6753
Prior entropy
2.2629
Recall
0.6753
Per class
Relative absolute error
0.4148
Root mean prior squared error
0.3957
Root mean squared error
0.3583
Root relative squared error
0.9055
SciMark benchmark
945.6598[566.86405431965431013.6533959159474482.58056402979616908.01528932595751757.1857345400422]