Question

How do you measure the distance between two members of our dataset?

a) By calculating the difference in their ages.
b) By measuring the geographical distance between them.
c) By using a machine learning algorithm.
d) By calculating a numerical distance metric, such as Euclidean distance.

Answer 1

The distance between two members of a dataset is typically measured using a numerical distance metric, such as Euclidean distance.

Step-by-step explanation:

The distance between two members of a dataset is typically measured using a numerical distance metric, such as Euclidean distance. Option d) is the correct answer in this case. Euclidean distance is a commonly used metric in machine learning and data analysis to measure the similarity or dissimilarity between data points in a dataset. It calculates the straight-line distance between two points in a multidimensional space. By calculating the Euclidean distance, we can determine how far apart the two members of the dataset are.