DEVELOPMENT... OpenML
Run
48455

Run 48455

Task 1717 (Learning Curve) mfeat-morphological 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
0.9447 ± 0.0077
Per class
Build CPU time
0.0003
Build memory
1104489809.0909
F measure
0.665 ± 0.0303
Per class
Kappa
0.6317 ± 0.03
KB relative information score
0.702 ± 0.0199
Mean absolute error
0.076 ± 0.0037
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
0.6694 ± 0.031
Per class
Predictive accuracy
0.6685 ± 0.027
Prior entropy
3.3219
Recall
0.6685 ± 0.027
Per class
Relative absolute error
0.4224 ± 0.0203
Root mean prior squared error
0.3
Root mean squared error
0.2108 ± 0.0084
Root relative squared error
0.7027 ± 0.028
SciMark benchmark
1970.0822