DEVELOPMENT... OpenML
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Run 16312

Task 43 (Supervised Classification) spambase Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I40
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.8924
Per class
F measure
0.8257
Per class
Kappa
0.6338
KB relative information score
2871.779
Mean absolute error
0.1767
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
0.8255
Per class
Predictive accuracy
0.8263
Prior entropy
0.9674
Recall
0.8263
Per class
Relative absolute error
0.37
Root mean prior squared error
0.4886
Root mean squared error
0.3956
Root relative squared error
0.8096
SciMark benchmark
946.6633[560.84909930399091014.7209476623404483.449727694041913.71210817040291760.5845701777503]