StatisticType

A numeric value between 1 and 8 that specifies which statistic will be returned. 1 - Alpha parameter of ETS algorithm - the base value parameter. 2 - Beta parameter of ETS algorithm - the trend value parameter. 3 - Gamma parameter of ETS algorithm - the seasonality value parameter. 4 - MASE (mean absolute scaled error) metric - a measure of the accuracy of forecasts. 5 - SMAPE (symmetric mean absolute percentage error) metric - a measure of the accuracy based on percentage errors. 6 - MAE (mean absolute error) metric - a measure of the accuracy of forecasts. 7 - RMSE (root mean squared error) metric - a measure of the differences between predicted and observed values. 8 - Step size detected in the timeline.

Type

Enumeration

Values

• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8