DEVELOPMENT... OpenML
Run
71067

Run 71067

Task 43 (Supervised Classification) spambase Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I40
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.849
Per class
Build CPU time
1.7357
Build memory
937056685.3623
F measure
0.785
Per class
Kappa
0.5475
KB relative information score
2396.687
Mean absolute error
0.2282
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7847
Per class
Predictive accuracy
0.7864
Prior entropy
0.9674
Recall
0.7864
Per class
Relative absolute error
0.4779
Root mean prior squared error
0.4886
Root mean squared error
0.4107
Root relative squared error
0.8404
SciMark benchmark
785.9104