Cricket: Cricket

In mlmts: Machine Learning Algorithms for Multivariate Time Series

Cricket

Description

Multivariate time series (MTS) of four cricket umpires performing twelve signals, each with ten repetitions.

Usage

data(Cricket)

Format

A list with two elements, which are:

data

A list with 180 MTS.

classes

A numeric vector indicating the corresponding classes associated with the elements in data.

Details

Each element in data is a matrix formed by 1197 rows (time points) indicating acceleration and 6 columns (variables) indicating spatial dimension with regards to two accelerometers. The first 108 elements correspond to the training set, whereas the last 72 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 12, indicating that there are 12 different classes in the database. Each class is associated with a different event signaled by the umpire. For more information, see \insertCitebagnall2018uea;textualmlmts. Run install.packages("ueadata1", repos="https://anloor7.github.io/drat") to access this dataset and use the syntax ueadata1::Cricket.

References

\insertRef

bagnall2018ueamlmts

\insertRef

ruiz2021greatmlmts

\insertRef

bagnallwebmlmts

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.