DEVELOPMENT... OpenML
Run
165662

Run 165662

Task 43 (Supervised Classification) spambase Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8333
Per class
F measure
0.7965
Per class
Kappa
0.6007
KB relative information score
1720.9583
Mean absolute error
0.3185
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
0.8441
Per class
Predictive accuracy
0.795
Prior entropy
0.9674
Recall
0.795
Per class
Relative absolute error
0.667
Root mean prior squared error
0.4886
Root mean squared error
0.4036
Root relative squared error
0.826
SciMark benchmark
939.7623
UserCPU time millis
950
UserCPU time millis testing
230
UserCPU time millis training
720