A data frame containing 1000 different univariate and multivariate time series data from the tstaxonomyr R package. For each one is given the best performing forecasting method out of the seven possible ones: 'random walk', 'exponentiel smoothing', 'arima', 'svm', 'ann', 'xgboost' and 'cart'.
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A data frame with 1000 elements. Each row represents a time series object with it's best performing forecasting method. The following columns are provided:
The name of the time series from the tstaxonomyr package
The best performing forecasting method
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