Run
19750

Run 19750

Task 43 (Supervised Classification) spambase Uploaded 16-06-2014 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)_I40
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
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9539
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4152.813
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0456
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
0.9539
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9539
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9539
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0954
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2076
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4249
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
922.2542[550.0601191742942990.7224031557098470.93940240073874885.92088610811781713.6282620747063]