Question

Drawback/s of Rule-based approach is/are :

1. The learning is static.
2. Any changes made to the original data will not be considered.
3. Once trained the model cannot improvise on the basis of feedback.

 

• A. All of the above statements are correct
• B. Statements i and ii are correct
• C. Statements ii and ii are correct 
• D. Statements i and ii are correct

Topic: Project Cycle 

Type: MCQ ( Multiple Choice Question)

#Boards 2021 question 

Answer 1

A is the correct answer

All of the above statements are correct

Explanation:-

drawback/feature for this approach is that the learning is static. The machine once trained, does not take into consideration any changes made in the original training dataset.

Once trained, the model cannot improvise itself on the basis of feedbacks. Thus, machine learning gets introduced as an extension to this as in that case, the machine adapts to change in data and rules and follows the updated path only, while a rule-based model does what it has been taught once. 

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Study more about Machine Learning at  Machine Learning Class 10