DEVELOPMENT... OpenML
Run
80104

Run 80104

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

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I20
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.9849
Per class
Build CPU time
0.6529
Build memory
2808062828.6929
F measure
0.9501
Per class
Kappa
0.8951
KB relative information score
3696.656
Mean absolute error
0.1031
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
0.9503
Per class
Predictive accuracy
0.9502
Prior entropy
0.9674
Recall
0.9502
Per class
Relative absolute error
0.216
Root mean prior squared error
0.4886
Root mean squared error
0.2059
Root relative squared error
0.4213
SciMark benchmark
941.5201