DEVELOPMENT... OpenML
Run
48462

Run 48462

Task 1752 (Learning Curve) vehicle 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
0.7232 ± 0.0376
Per class
Build CPU time
0.0002
Build memory
3074927732.9778
F measure
0.3658 ± 0.0495
Per class
Kappa
0.2372 ± 0.0563
KB relative information score
0.3181 ± 0.0495
Mean absolute error
0.2878 ± 0.0196
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4209 ± 0.0846
Per class
Predictive accuracy
0.4232 ± 0.0425
Prior entropy
1.9991 ± 0.0005
Recall
0.4232 ± 0.0425
Per class
Relative absolute error
0.7678 ± 0.0523
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.5069 ± 0.0259
Root relative squared error
1.171 ± 0.0598
SciMark benchmark
1655.4655