Machine Learning Distance Metrics Quiz

What does a data matrix represent?

• A collection of algorithms

• A two-dimensional structure of data

• A graphical representation of data

• A method for data cleaning

Which distance metric is used for interval valued data?

• Johnson Coefficient

• Jaccard Coefficient

• Minkowski Distance

• Simple Matching Coefficient

What is the formula for calculating Euclidean distance?

• Average of the differences

• Sum of squared differences

• Square root of the sum of squared differences

• Sum of absolute differences

Which metric is independent of the unit of measurement?

• Canberra Distance

• Manhattan Distance

• Euclidean Distance

• Minkowski Distance

What does the Jaccard Coefficient ignore?

• The number of 0-1 cases

• The number of 1-1 cases

• The number of 0-0 cases

• The number of 1-0 cases

In binary data metrics, what does 'a' represent?

• Number of features with values 0 and 0

• Number of features with values 1 and 1

• Number of features with values 1 and 0

• Number of features with values 0 and 1

What is the primary purpose of the Canberra metric?

• To perform regression analysis

• To calculate distances for nominal data

• To quantify dissimilarity levels

• To visualize data

How is the distance between two ordinal sequences calculated?

• By multiplying the ranks

• By finding the maximum rank

• By summing the absolute differences

• By averaging the ranks

What is the maximum rank in the example of socio-economic status?

• 6

• 4

• 3

• 5

Which of the following is a characteristic of nominal data?

• It is numerical

• It has a meaningful order

• It is categorical without a specific order

• It can be ranked