DEVELOPMENT... OpenML
Run
52677

Run 52677

Task 1742 (Learning Curve) spambase Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NaiveBayesMultinomial(2)Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.

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
0.843 ± 0.0225
Per class
Build CPU time
0.0009
Build memory
6496226397.8857
F measure
0.7904 ± 0.0231
Per class
Kappa
0.56 ± 0.0482
KB relative information score
0.5575 ± 0.0486
Mean absolute error
0.2075 ± 0.0223
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.79 ± 0.0233
Per class
Predictive accuracy
0.7909 ± 0.0234
Prior entropy
0.9674 ± 0.0006
Recall
0.7909 ± 0.0234
Per class
Relative absolute error
0.4344 ± 0.0467
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4255 ± 0.0252
Root relative squared error
0.8707 ± 0.0516
SciMark benchmark
1629.4508