Run
16891

Run 16891

Task 2079 (Supervised Classification) eucalyptus Uploaded 05-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.7463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4643
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3214
Cross-validation details (10-fold Crossvalidation)
KB relative information score
121.814
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2883
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4783
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.4783
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9206
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.371
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9375
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.4608[563.02150163949781014.9881711071126475.31730592400976908.95975824819551760.017229859821]