Page 233 - AI Ver 1.0 Class 9
P. 233
• Decision trees are tools that follow a rule-based approach that uses a tree-like model of decisions and their
possible consequences.
• Evaluation is an important step where the AI model is evaluated for its efficiency and accuracy.
• Deployment is the process of integrating a newly created AI model into an existing production environment to
make practical implementation of the model with actual data taken as input to give the desired output.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. Which of the following helps in identifying the key elements related to the problem?
a. Problem Scoping b. 4W Problem
c. Data Exploration d. Data
2. Which of the following is not part of the AI project cycle?
a. Problem Scoping b. Modelling
c. Data handling d. Evaluation
3. Which of the following is the second stage of AI project cycle?
a. Problem Scoping b. Data Acquisition
c. Data Exploration d. Evaluation
4. Which of the following is the process of understanding the reliability of any AI model?
a. Problem Scoping b. Modelling
c. Evaluation d. Machine learning
5. Which of the following is not part of the 4Ws framework?
a. Which b. Who
c. What d. Why
6. Which of the following is the second last stage of the AI project cycle?
a. Problem scoping b. Evaluation
c. Modelling d. Data Acquisition
7. Which block in 4W CANVAS is needed to gather evidence to prove that the problem really exists?
a. Why b. Where
c. What d. Who
8. What should be authentic and relevant to the problem statement scoped for an AI project to be efficient?
a. Training Data b. Testing Data
c. Solution d. Algorithm
AI Project Cycle 231

