Dataset (Classification)

ArrowHead

ArrowHead time series classification problem.

Example of a univariate problem with equal length series.

Notes

Dimensionality: univariate Series length: 251 Train cases: 36 Test cases: 175 Number of classes: 3

The ArrowHead dataset consists of outlines of images of arrowheads. The shapes of the projectile points are converted into a time series using the angle-based method. Classification of projectile points is an important topic in anthropology. The classes are based on shape distinctions such as the presence and location of a notch in the arrow. The problem in the repository is a length-normalized version of that used in Ye09shapelets. The three classes are called “Avonlea”, “Clovis”, and “Mix”.

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

Examples

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

Quickstart

python

from sktime.datasets.classification.arrow_head import ArrowHead

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

Examples

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