DEVELOPMENT... OpenML
Run
54536

Run 54536

Task 1711 (Learning Curve) mfeat-factors Uploaded 09-11-2014 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
0.9239 ± 0.0121
Per class
Build CPU time
0.0017
Build memory
602703781.7455
F measure
0.8549 ± 0.0199
Per class
Kappa
0.8383 ± 0.0224
KB relative information score
0.8473 ± 0.021
Mean absolute error
0.0293 ± 0.004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8595 ± 0.0186
Per class
Predictive accuracy
0.8545 ± 0.0202
Prior entropy
3.3219
Recall
0.8545 ± 0.0202
Per class
Relative absolute error
0.1627 ± 0.0223
Root mean prior squared error
0.3
Root mean squared error
0.1706 ± 0.0117
Root relative squared error
0.5686 ± 0.0389
SciMark benchmark
1853.1129