DEVELOPMENT... OpenML
Run
48457

Run 48457

Task 1736 (Learning Curve) diabetes Uploaded 05-11-2014 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
0.542 ± 0.0608
Per class
Build CPU time
0.0002
Build memory
2752262323.2
F measure
0.5958 ± 0.0441
Per class
Kappa
0.1191 ± 0.0939
KB relative information score
0.0731 ± 0.1116
Mean absolute error
0.4044 ± 0.0498
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5999 ± 0.045
Per class
Predictive accuracy
0.5924 ± 0.0459
Prior entropy
0.9331 ± 0.0046
Recall
0.5924 ± 0.0459
Per class
Relative absolute error
0.8899 ± 0.1078
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.6179 ± 0.0417
Root relative squared error
1.2964 ± 0.0851
SciMark benchmark
1655.4655