DEVELOPMENT... OpenML
Run
64751

Run 64751

Task 43 (Supervised Classification) spambase Uploaded 18-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8785
Per class
Build CPU time
0.2085
Build memory
341848704.6955
F measure
0.792
Per class
Kappa
0.5601
KB relative information score
1696.2418
Mean absolute error
0.3211
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
0.7951
Per class
Predictive accuracy
0.7959
Prior entropy
0.9674
Recall
0.7959
Per class
Relative absolute error
0.6725
Root mean prior squared error
0.4886
Root mean squared error
0.373
Root relative squared error
0.7634
SciMark benchmark
915.7224