DEVELOPMENT... OpenML
Run
52666

Run 52666

Task 1713 (Learning Curve) mfeat-fourier 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
0.9498 ± 0.0059
Per class
Build CPU time
0.0009
Build memory
6952893517.3818
F measure
0.7474 ± 0.0176
Per class
Kappa
0.7189 ± 0.0193
KB relative information score
0.2453 ± 0.0039
Mean absolute error
0.163 ± 0.0005
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
0.7498 ± 0.0177
Per class
Predictive accuracy
0.747 ± 0.0174
Prior entropy
3.3219
Recall
0.747 ± 0.0174
Per class
Relative absolute error
0.9055 ± 0.0026
Root mean prior squared error
0.3
Root mean squared error
0.2745 ± 0.0006
Root relative squared error
0.9149 ± 0.0021
SciMark benchmark
1629.4508

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