DEVELOPMENT... OpenML
Run
17502

Run 17502

Task 43 (Supervised Classification) spambase Uploaded 08-06-2014 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)_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
F measure
0.9484
Per class
Kappa
0.8917
KB relative information score
4095.5823
Mean absolute error
0.0514
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
0.9484
Per class
Predictive accuracy
0.9485
Prior entropy
0.9674
Recall
0.9485
Per class
Relative absolute error
0.1077
Root mean prior squared error
0.4886
Root mean squared error
0.2227
Root relative squared error
0.4557
SciMark benchmark
947.3851[565.02776169467961014.9881073746852483.449727694041911.17132945493631762.2887878368938]