mowomoyela/tsfcmethodr: Classification methods to predict best performing forecasting method of a ts

Provides four different classification machine learning methods and one C5.0 rule model to predict the best performing forecasting method for time series. The four different classification methods are: xgboost, cat boost, svm and ann. This package contains labeled time series data to train the models for the prediction of new time series data.

install.packages("remotes")
remotes::install_github("mowomoyela/tsfcmethodr")