DEVELOPMENT... OpenML
Run
52327

Run 52327

Task 1727 (Learning Curve) optdigits 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
0.97 ± 0.0063
Per class
Build CPU time
0.0014
Build memory
972325198.1714
F measure
0.9079 ± 0.0144
Per class
Kappa
0.8968 ± 0.0165
KB relative information score
0.9051 ± 0.0142
Mean absolute error
0.0186 ± 0.0028
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9124 ± 0.0126
Per class
Predictive accuracy
0.9071 ± 0.0148
Prior entropy
3.3218 ± 0.0001
Recall
0.9071 ± 0.0148
Per class
Relative absolute error
0.1036 ± 0.0155
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1332 ± 0.0098
Root relative squared error
0.4439 ± 0.0328
SciMark benchmark
945.56