DEVELOPMENT... OpenML
Run
52669

Run 52669

Task 1721 (Learning Curve) mfeat-zernike 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
0.8702 ± 0.0204
Per class
Build CPU time
0.0003
Build memory
4197889147.4182
F measure
0.7104 ± 0.034
Per class
Kappa
0.6783 ± 0.0398
KB relative information score
0.7 ± 0.0367
Mean absolute error
0.058 ± 0.0069
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7121 ± 0.0296
Per class
Predictive accuracy
0.7105 ± 0.0358
Prior entropy
3.3219
Recall
0.7105 ± 0.0358
Per class
Relative absolute error
0.3221 ± 0.0385
Root mean prior squared error
0.3
Root mean squared error
0.2379 ± 0.0141
Root relative squared error
0.7931 ± 0.0471
SciMark benchmark
1676.6751