DEVELOPMENT... OpenML
Run
33228

Run 33228

Task 43 (Supervised Classification) spambase Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9798
Per class
Build CPU time
398.1831
Build memory
388703470.6959
F measure
0.9438
Per class
Kappa
0.8819
KB relative information score
3706.1104
Mean absolute error
0.1026
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
0.9439
Per class
Predictive accuracy
0.9439
Prior entropy
0.9674
Recall
0.9439
Per class
Relative absolute error
0.2148
Root mean prior squared error
0.4886
Root mean squared error
0.2095
Root relative squared error
0.4286
SciMark benchmark
948.1072