Artificial Intelligence Quiz

1. What is the range of F1 Score?

0 to 1
0 to 10
0 to 100
0 to 1000

2. _________________ is a type of machine learning in which an agent learns to make decisions by interacting with an environment.

Supervised learning
Reinforcement learning
Semi-supervised learning
Unsupervised learning

3. The main condition which required for alpha-beta pruning is?

alpha<=beta
alpha>=beta
alpha=beta
alpha!=beta

4. RMSE is a metric that can be obtained by just taking the square root of the MSE value.

Yes
No
Can be yes or no
Can not say

5. __________________is the study of how people interact with computers and other digital devices.

Psychology and design
Human-computer interaction (HCI)
Engineering and design
Natural language processing

6. Greedy search strategy chooses the node for expansion in ___________

Shallowest
Deepest
The one closest to the goal node
Minimum heuristic cost

7. How do we calculate Classification Accuracy?

by calculating the ratio of correct predictions to the total number of input Samples
by calculating the ratio of total number of input Samples to the correct predictions
by calculating the ratio of wrong predictions to the total number of input Samples
by calculating the ratio of total number of input Samples to the wrong predictions

8. Sussman Anomaly can be easily and efficiently solved by partial order planning.

True
False
Sussman Anomaly can be easily solved but not efficiently.
Sussman Anomaly can not be easily solved but efficiently.

9. ________ systems are Data-driven, where as backward chaining systems are goal-driven.

Backward Chaining
Forward Chaining
Spanning Chaining
None of the above

10. If temperature < 0, then what is data in the statement?

0
<0
temperature
temperature < 0