Why is data cleaning necessary in Artificial Intelligence?
Answer and explanation
Correct answer: To correct or remove incorrect, incomplete, and irrelevant information
Data cleaning identifies problems such as duplicate records, missing values, incorrect entries, inconsistent formats, and irrelevant information. Correcting or appropriately removing these problems gives the model more reliable input and can improve its performance. Cleaning does not mean hiding outputs or abandoning privacy protections.
Frequently asked questions
What is the correct answer to this question?
To correct or remove incorrect, incomplete, and irrelevant information
Why is this the correct answer?
Data cleaning identifies problems such as duplicate records, missing values, incorrect entries, inconsistent formats, and irrelevant information. Correcting or appropriately removing these problems gives the model more reliable input and can improve its performance. Cleaning does not mean hiding outputs or abandoning privacy protections.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Data Literacy. Topic: preprocessing.
