classification/UCR/BME/BME_TRAIN.ts

## BME dataset
#
#BME is a synthetic data set with three classes:  one class is characterized by a small positive bell arising at the initial period (Begin), one does not have any bell (Middle), one has a positive bell arising at the final period (End).
#
#All series are constituted by a central plate. The central plates may be positive or negative. The discriminant is the presence or absence of a positive peak, or at the beginning of series or at the end.
#
#- Class 1: Begin
#- Class 2: Middle
#- Class 3: End
#
#Train size: 30
#
#Test size: 150
#
#Missing value: No
#
#Number of classses: 3
#
#Time series length: 128
#
#Data source: Université Joseph Fourier (Grenoble I), Laboratoire d’informatique de Grenoble(LIG), Equipe AMA
@problemName BME
@timeStamps false
@missing false
@univariate true
@equalLength true
@seriesLength 128
@classLabel true 1 2 3
@data
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