Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms
نویسندگان
چکیده
منابع مشابه
Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms
In the paper we presented the guidelines for the application of nonparametric statistical tests and post hoc procedures devised to perform multiple comparisons of machine learning algorithms. We emphasized it is necessary to distinguish between pairwise and multiple comparison tests. We showed that the pairwise Wilcoxon test, when employed to multiple comparisons, would lead to overoptimistic c...
متن کاملNonparametric Statistical Analysis of Machine Learning Algorithms for Regression Problems
Several experiments aimed to apply recently proposed statistical procedures which are recommended for analysing multiple 1×n and n×n comparisons of machine learning algorithms were conducted. 11 regression algorithms comprising 5 deterministic and 6 neural network ones implemented in the data mining system KEEL were employed. All experiments were performed using 29 benchmark datasets for regres...
متن کاملNonparametric Regression ( and Classification ) Statistical Machine Learning , Spring 2017
• Note for i.i.d. samples (xi, yi) ∈ R × R, i = 1, . . . , n, we can always write yi = f0(xi) + i, i = 1, . . . , n, where i, i = 1, . . . , n are i.i.d. random errors, with mean zero. Therefore we can think about the sampling distribution as follows: (xi, i), i = 1, . . . , n are i.i.d. draws from some common joint distribution, where E( i) = 0, and yi, i = 1, . . . , n are generated from the ...
متن کاملComparative Analysis of Machine Learning Algorithms with Optimization Purposes
The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches. Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data. In this paper, a methodology has been employed to opt...
متن کاملComparison of Machine Learning Algorithms for Broad Leaf Species Classification Using UAV-RGB Images
Abstract: Knowing the tree species combination of forests provides valuable information for studying the forest’s economic value, fire risk assessment, biodiversity monitoring, and wildlife habitat improvement. Fieldwork is often time-consuming and labor-required, free satellite data are available in coarse resolution and the use of manned aircraft is relatively costly. Recently, unmanned aeria...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Applied Mathematics and Computer Science
سال: 2012
ISSN: 2083-8492,1641-876X
DOI: 10.2478/v10006-012-0064-z