Message type: E = Error
Message class: /SAPAPO/FCST -
Message number: 155
Message text: MAPE for MLR forecasting using POS bigger than MAPE for stat. forecast
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.
Unfortunately, there isn't any extra information in this error notice.
First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).
Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.
You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.
The SAP error message /SAPAPO/FCST155 with the description "MAPE for MLR forecasting using POS bigger than MAPE for stat. forecast" typically indicates that the Mean Absolute Percentage Error (MAPE) for the Multiple Linear Regression (MLR) forecasting method using Point of Sale (POS) data is greater than the MAPE for the statistical forecast. This situation can arise due to several reasons, and addressing it involves understanding the underlying data and the forecasting methods used. Causes: Data Quality Issues: The POS data may contain outliers, missing values, or inaccuracies that can skew the MLR results. Model Specification: The MLR model may not be correctly specified, meaning that the independent variables used in the model do not adequately explain the variability in the dependent variable. Insufficient Data: There may not be enough historical data to support a reliable MLR forecast, leading to poor performance compared to simpler statistical methods. Seasonality and Trends: If the data exhibits strong seasonal
Get instant SAP help. Sign up for our Free Essentials Plan.
/SAPAPO/FCST154
MAPE for statistical forecasting: &1
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
/SAPAPO/FCST153
MAPE for MLR forecasting using POS: &1
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
/SAPAPO/FCST156
Fill all mandatory fields
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
/SAPAPO/FCST157
MLR forecasting using POS data executed successfully
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
Click on this link to search all SAP messages.