Question
A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?"
Which solution meets these requirements with the LEAST operational overhead?
- A. Use supervised learning to create a regression model that will predict probability.
- B. Use reinforcement learning to train a model to return the probability.
- C. Use code that will calculate probability by using simple rules and computations. Correct
- D. Use unsupervised learning to create a model that will estimate probability density.
Explanation
The correct answer is C because calculating probability in this scenario requires only basic arithmetic operations, which can be efficiently handled with simple code without the need for complex machine learning models. Options A, B, and D involve machine learning approaches that introduce unnecessary operational overhead for a straightforward calculation.
