<p>Time series data from the fourth Makridakis forecasting competition (M4), held in 2018.
Data Type: Forecasting benchmark dataset. Category: Forecasting. Creation Date: 2018.</p>

datasets

Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies.
TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation.
Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance.
It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies.
More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.

Eduardo Ogasawara

tspredit

Time Series Prediction with Integrated Tuning

Cristiane Gea

Diego Carvalho

Diogo Santos

Eduardo Bezerra

Esther Pacitti

Fabio Porto

Fernando Alexandrino

Rebecca Salles

Vitoria Birindiba

CEFET/RJ 

m4 function

<p>A list of lists containing time series.</p>

Format

M4 Competition Time Series — m4

M4 Competition Time Series

m4: M4 Competition Time Series

Description

Usage

Arguments

Format

Details

References

Examples