The Mean Squared Error is a measure of the average of the squares of the residuals.

Data Analytics - Quiz(MCQ)

True

False

Can Not Say

None of the above

Correct Answer : True

Explanation : The degree of inaccuracy in statistical models is measured by the mean squared error (MSE).

The average squared difference between observed and expected values is calculated.

The MSE equals zero when a model has no errors. Its value rises as the model inaccuracy rises.

The mean squared deviation is another name for the mean squared deviation (MSD).

The average squared residual is represented by the mean squared error in regression.

Recently Updated in Data Analytics Questions

________ Analysis is used to analyze a system in terms of its requirements to identify its impact on customers’ satisfaction. Fill in the blank.

Impact

Kano

Paretto

RootCause

Correct Answer : Kano

Explaination : The Kano analysis is used to analyze a system in terms of its requirements and identify its impact on customers' satisfaction.

This analysis helps to categorize customer preferences into different types: basic requirements, performance requirements, and excitement requirements.

By understanding these different types of requirements, businesses can prioritize their efforts and focus on delivering features and functionalities that will truly satisfy their customers.

According to a very recent Jaspersoft Survey, what is the most popular big data store?

MongoDB

Hadoop HDFS

Both (A) and (B)

Relational Databases

Correct Answer : Relational Databases

Explanation : The most popular big data store according to the recent Jaspersoft Survey is Relational Databases.

By 2025, the volume of data will increase to_____.

Correct Answer : ZB

Explanation : It is projected that 2.5 quintillion bytes of data are created every day, with the volume of digital data expected to reach Zeta Byte by 2025.