DEVELOPMENT... OpenML
Run
30477

Run 30477

Task 43 (Supervised Classification) spambase Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9819
Per class
Build CPU time
36.1557
Build memory
654065903.0367
F measure
0.9455
Per class
Kappa
0.8857
KB relative information score
3764.8567
Mean absolute error
0.0945
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
0.9456
Per class
Predictive accuracy
0.9457
Prior entropy
0.9674
Recall
0.9457
Per class
Relative absolute error
0.1979
Root mean prior squared error
0.4886
Root mean squared error
0.2072
Root relative squared error
0.4241
SciMark benchmark
932.6332