Run
17502

Run 17502

Task 43 (Supervised Classification) spambase Uploaded 08-06-2014 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)_I10
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
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8917
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4095.5823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0514
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
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
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9485
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9485
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2227
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.3851[565.02776169467961014.9881073746852483.449727694041911.17132945493631762.2887878368938]