DEVELOPMENT... OpenML
Run
19411

Run 19411

Task 43 (Supervised Classification) spambase Uploaded 13-06-2014 by Felicia West
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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)_I80
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
0.9678
Per class
F measure
0.9554
Per class
Kappa
0.9064
KB relative information score
4162.238
Mean absolute error
0.0446
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9554
Per class
Predictive accuracy
0.9554
Prior entropy
0.9674
Recall
0.9554
Per class
Relative absolute error
0.0934
Root mean prior squared error
0.4886
Root mean squared error
0.2082
Root relative squared error
0.4261
SciMark benchmark
946.9729[570.94618719647461014.1867954103211482.5806157404377907.70082742804311759.4501199261804]