Run
24639

Run 24639

Task 39 (Supervised Classification) sonar Uploaded 14-07-2014 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)_I10
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
0.8721
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7772
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
119.0581
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
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
0.7809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7788
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.7788
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4265
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4236
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8491
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
593.4056[344.1674291692487891.2834635527752243.25822737843032526.8167380274197961.5023764764358]