Machine Learning Quiz

Which of the following are classification tasks?

• Detect pneumonia from chest X-ray image

• Predict the price of a house based on floor area, number of rooms etc.

• Predict the temperature for the next day

• Predict the amount of rainfall

Which of the following is not a type of supervised learning?

• Classification

• Regression

• Clustering

• None of the above

Which of the following tasks is NOT a suitable machine learning task?

• Finding the shortest path between a pair of nodes in a graph

• Predicting if a stock price will rise or fall

• Predicting the price of petroleum

• Grouping mails as spams or non-spams

Which of the following is/are supervised learning problems?

• Predicting disease from blood samples.

• Grouping students in the same class based on similar features.

• Face recognition to unlock your phone.

Aliens challenge you to a complex game that no human has seen before. They give you time to learn the game and develop strategies before the final showdown. You choose to use machine learning because an intelligent machine is your only hope. Which machine learning paradigm should you choose for this?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Use a random number generator and hope for the best

What is the use of Validation dataset in Machine Learning?

• To train the machine learning model.

• To evaluate the performance of the machine learning model

• To tune the hyperparameters of the machine learning model

• None of the above.

Which of the following is a categorical feature?

• Height of a person

• Price of petroleum

• Mother tongue of a person

• Amount of rainfall in a day

Which of the following criteria is typically used for optimizing in linear regression?

• Maximizing the number of points touched by the line

• Minimizing the number of points touched by the line

• Minimizing the sum of squared distance of the line from the points

• Minimizing the maximum squared distance of a point from a line

The parameters obtained in linear regression

• can take any value in the real space

• are strictly integers

• always lie in the range [0,1]

• can take only non-zero values

Which of the following statements is/are true about PCA?

• PCA is a supervised method

• It identifies the directions that data have the largest variance

• Maximum number of principal components <= number of features

• All principal components are orthogonal to each other