What is the default maximum percentage of missing values for variables to be rejected in SAS Enterprise Miner?

What is the default maximum percentage of missing values for variables to be rejected in SAS Enterprise Miner?

• A. 20
• B. 30
• C. 50
• D. 70

Answer: (C)

In SAS Enterprise Miner, the default maximum percentage of missing values allowed for variables before they are rejected is set at 50%. This means that if a variable has more than 50% of its values missing, it will typically not be included in the analysis because it may not provide meaningful insight or predictive power. The rationale behind this threshold is to ensure that the model is built on relevant and useful data. A variable with excessive missing values may lead to potential biases or inefficiencies in the analysis, as imputation or other handling methods might not yield reliable results. Therefore, keeping this threshold at 50% helps maintain the integrity and validity of the data being used in modeling processes.

In SAS Enterprise Miner, the default maximum percentage of missing values allowed for variables before they are rejected is set at 50%. This means that if a variable has more than 50% of its values missing, it will typically not be included in the analysis because it may not provide meaningful insight or predictive power. The rationale behind this threshold is to ensure that the model is built on relevant and useful data. A variable with excessive missing values may lead to potential biases or inefficiencies in the analysis, as imputation or other handling methods might not yield reliable results. Therefore, keeping this threshold at 50% helps maintain the integrity and validity of the data being used in modeling processes.