Question 5
In which scenarios is the Random Sample Consensus (RANSAC) algorithm more suitable compared to least squares?
When the dataset contains a high percentage of outliers or erroneous data points.
When the dataset consists of noise-free and well-behaved data with minimal outliers.
When the computational resources are limited, and quick solutions are required.
When the dataset is small, and exact solutions are necessary without considering outliers.