Dataset (Classification)

ACSF1

ACSF1 time series classification problem.

Example of a univariate classification dataset with long idle periods.

Notes

Dimensionality: univariate Series length: 1460 Train cases: 100 Test cases: 100 Number of classes: 10

The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of energy consumption when the appliance is active. The classes correspond to 10 categories of home appliances; mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).

Dataset details: http://www.timeseriesclassification.com/description.php?Dataset=ACSF1

Examples

>>> from sktime.datasets.classification import ACSF1
>>> X, y = ACSF1().load("X", "y")

Schnellstart

python

from sktime.datasets.classification.acsf1 import ACSF1

estimator = ACSF1(return_mtype='pd-multiindex')

Beispiele

>>> from sktime.datasets.classification import ACSF1
>>> X, y = ACSF1 (). load ("X", "y")