Lag features are the classical way that time series forecasting problems are transformed into supervised learning problems . The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1).
Lag features are the classical way that time series forecasting problems are transformed into supervised learning problems . The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1).