DEVELOPMENT... OpenML
Run
52328

Run 52328

Task 1742 (Learning Curve) spambase Uploaded 07-11-2014 by Felicia West
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Flow

weka.NaiveBayesMultinomialUpdateable(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
0.8557 ± 0.0216
Per class
Build CPU time
0.0012
Build memory
906235140.1714
F measure
0.8036 ± 0.0279
Per class
Kappa
0.594 ± 0.0566
KB relative information score
0.5814 ± 0.0542
Mean absolute error
0.196 ± 0.0247
Mean prior absolute error
0.4776 ± 0.0002
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
0.8088 ± 0.0263
Per class
Predictive accuracy
0.802 ± 0.0284
Prior entropy
0.9674 ± 0.0006
Recall
0.802 ± 0.0284
Per class
Relative absolute error
0.4104 ± 0.0518
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4112 ± 0.0288
Root relative squared error
0.8415 ± 0.0591
SciMark benchmark
945.56