DEVELOPMENT... OpenML
Run
38951

Run 38951

Task 43 (Supervised Classification) spambase Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9793
Per class
Build CPU time
50.8779
Build memory
53125574.1569
F measure
0.9412
Per class
Kappa
0.8767
KB relative information score
4018.1835
Mean absolute error
0.0593
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
0.9412
Per class
Predictive accuracy
0.9413
Prior entropy
0.9674
Recall
0.9413
Per class
Relative absolute error
0.1242
Root mean prior squared error
0.4886
Root mean squared error
0.2345
Root relative squared error
0.4799
SciMark benchmark
935.2997