DEVELOPMENT... OpenML
Run
82105

Run 82105

Task 43 (Supervised Classification) spambase Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I80
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.982
Per class
Build CPU time
11.4303
Build memory
1742073808.0052
F measure
0.9442
Per class
Kappa
0.883
KB relative information score
3663.506
Mean absolute error
0.1075
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
0.9443
Per class
Predictive accuracy
0.9444
Prior entropy
0.9674
Recall
0.9444
Per class
Relative absolute error
0.2252
Root mean prior squared error
0.4886
Root mean squared error
0.2108
Root relative squared error
0.4314
SciMark benchmark
947.4258