Run
25791

Run 25791

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
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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
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0012
Cross-validation details (10-fold Crossvalidation)
Build memory
74377898.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
72.468
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.283
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6368
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3408
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.723
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1705.8697[1032.70618843969921239.1994038576177661.57843928828111363.91263977754874231.951683947164]