DEVELOPMENT... OpenML
Run
54005

Run 54005

Task 43 (Supervised Classification) spambase Uploaded 08-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I80
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9873
Per class
Build CPU time
2303.3729
Build memory
1236828437.0528
F measure
0.9502
Per class
Kappa
0.8955
KB relative information score
3876.9327
Mean absolute error
0.0808
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
0.9502
Per class
Predictive accuracy
0.9502
Prior entropy
0.9674
Recall
0.9502
Per class
Relative absolute error
0.1692
Root mean prior squared error
0.4886
Root mean squared error
0.1935
Root relative squared error
0.3959
SciMark benchmark
940.9202