Answer: Spearman correlation

The question asks for a feature extraction method, but the provided answer choices are primarily feature selection methods. However, based on the community discussion and the context from the case study mentioned in the comments, the scenario requires analyzing the relationship between two numeric columns (MedianValue and AvgRoomsInHouse) using non-parametric statistics. Spearman correlation is explicitly highlighted as correct because it assesses monotonic relationships without assuming linearity or normal distribution, making it suitable for non-parametric analysis. Mutual information (A) measures dependency but is not specifically non-parametric in the same context. Pearson's correlation (B) is parametric and assumes linearity, which contradicts the non-parametric requirement. Fisher Linear Discriminant Analysis (D) is for classification and dimensionality reduction, not correlation analysis between two numeric features. The community consensus, with upvoted comments, supports Spearman correlation as the optimal choice.

Author: LeetQuiz Editorial Team