DEVELOPMENT... OpenML
Run
18890

Run 18890

Task 2079 (Supervised Classification) eucalyptus Uploaded 11-06-2014 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)_I20
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
0.8684
Per class
F measure
0.6606
Per class
Kappa
0.5652
KB relative information score
401.3288
Mean absolute error
0.162
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
0.6792
Per class
Predictive accuracy
0.6644
Prior entropy
2.2629
Recall
0.6644
Per class
Relative absolute error
0.5173
Root mean prior squared error
0.3957
Root mean squared error
0.3277
Root relative squared error
0.8282
SciMark benchmark
917.645[552.3244598524069983.8933357559995464.4211968726429881.45259588932371706.1335131639553]