Machine Learning Data Types and Distance Metrics Quiz

What are the two main classifications of data types in machine learning?

• Quantitative and Qualitative

• Discrete and Continuous

• Interval and Ratio

• Nominal and Ordinal

Which of the following is an example of a discrete data type?

• Height

• Temperature

• Weight

• Number of students in a class

What type of data is described as categorical and cannot be expressed in numbers?

• Quantitative data

• Qualitative data

• Continuous data

• Discrete data

Which of the following is an example of continuous data?

• Number of cars

• Temperature in Celsius

• Number of marbles

• Students in a class

What does the term 'Nominal Data Type' refer to?

• Data expressed as names or labels

• Data that can be measured

• Data with absolute zero

• Data with a natural order

Which distance metric is calculated using the formula with p set to 1?

• Euclidean Distance

• Minkowski Distance

• Cosine Distance

• Manhattan Distance

What is the primary use of Cosine Similarity?

• To measure the angle between two vectors

• To calculate the Euclidean distance

• To determine the Hamming distance

• To find the Manhattan distance

Which of the following describes the Continuous data type?

• Values can take any value within a range

• Values are whole numbers

• Values can be counted

• Values are categorical

What is the characteristic of Ordinal Data Type?

• It is always numeric

• It has a natural ordering

• It can be measured

• It has no order

Which distance metric is often referred to as Taxicab Geometry?

• Manhattan Distance

• Euclidean Distance

• Cosine Distance

• Minkowski Distance