Run
17144

Run 17144

Task 2 (Supervised Classification) anneal Uploaded 06-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9471
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.951
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8775
Cross-validation details (10-fold Crossvalidation)
KB relative information score
773.5953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.016
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.951
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.951
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.951
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1247
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4829
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
902.8956[552.32445985240691014.1868590421574477.43081512874613906.13207810932491564.4037329707312]