Title
On the statistical analysis of the parameters' trend in a machine learning algorithm.
Abstract
Statistical validation of results for supporting the conclusions achieved in an experimental study is more and more demanded in research results. Although statistics are usually used in the analysis of results for comparing the performance of several algorithms, they could be used in other tasks, such as proper selection of parameters’s value or study of the trend of a parameter. In this short paper, we describe a non-parametric test, the Page test, which can be used for predicting the order of experimental conditions. We include an illustrative example for using it on classification problems taking the well-known \(k\)-nearest neighbour algorithm.
Year
DOI
Venue
2014
10.1007/s13748-014-0043-8
Progress in AI
Keywords
Field
DocType
Statistical analysis, Non-parametric statistics, Parameter trend, Classification
Data mining,Computer science,Algorithm,Nonparametric statistics,Artificial intelligence,Machine learning,Statistical analysis
Journal
Volume
Issue
ISSN
3
1
2192-6360
Citations 
PageRank 
References 
1
0.34
7
Authors
4
Name
Order
Citations
PageRank
Salvador García134311.50
Joaquín Derrac2255264.42
Sergio Ramírez-Gallego3986.99
Francisco Herrera4273911168.49