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Dataset (Classification)

BasicMotions

API-ReferenzQuellcode

BasicMotions time series classification problem.

Example of a multivariate problem with equal-length series.

Notes

Dimensionality: multivariate, 6 variables Series length: 100 Train cases: 40 Test cases: 40 Number of classes: 4

The data was generated as part of a student project where four students performed four activities whilst wearing a smartwatch. The watch collects 3D accelerometer and 3D gyroscope data. It consists of four classes: walking, resting, running, and badminton. Participants were required to record motion a total of five times, and the data is sampled once every tenth of a second, for a ten-second period.

Dataset details: http://timeseriesclassification.com/description.php?Dataset=BasicMotions

Examples

>>> from sktime.datasets.classification import BasicMotions
>>> X, y = BasicMotions().load("X", "y")

Schnellstart

python
from sktime.datasets.classification.basic_motions import BasicMotions

estimator = BasicMotions(return_mtype='pd-multiindex')

Beispiele

>>> from sktime.datasets.classification import BasicMotions
>>> X, y = BasicMotions (). load ("X", "y")