can we use GMDH for two or three class classiication
As I read in R package GMDH a function for short term forecasting of a univariate time series by using GMDH-type neural network algorithms. Can i use it for Iris Dataset?
At the moment there two GMDH packages in R: devtools::install_github("dratewka/rGMDH") library(rGMDH) m <- rGMDH::train(x,y) yh <- predict(m, x) and library(GMDH) out = fcast(data, input = 6, layer = 2, f.number = 1) Both are designed for short-term forecasting and you will not be able to use them for classification. However, by design, GMDH algorithms are very suitable for multi-variable classification. In fact, better than regression (see e.g. Section 5 in http://math.umaine.edu/~farlow/gmdh%20in%20pdf.pdf or Section 8 in The Review of Problems Solvable by Algorithms of the Group Method of Data Handling (GMDH) ). Unfortunately they have not been fully implemented in R yet. If interested, you may be able to implement it yourself using R base classes - E.g. See the first reference above to describe the exact algorithm.
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