ML Quiz 1

Which factor is crucial in the design and analysis of machine learning experiments?

• Randomisation

• Blocking

• Replication

• All of the above

What is the purpose of cross-validation in machine learning experiments?

• Estimation of missing values

• Measuring classifier performance

• Model Selection

• Improving stratification

In supervised learning, what does VC Dimension measure?

• Model complexity

• Dataset complexity

• Binary classifier's ability

• Dataset entropy

Which method is used for parameter estimation in logistic regression?

• Gradient descent

• Genetic algorithm

• Linear Equation solving

• Backpropagation

What does the term "Interval Estimation" refer to in machine learning experiments?

• Estimating missing values

• Hypothesis testing

• Confidence intervals for parameters

• Blocking

In the context of supervised learning, what does model generalization refer to?

• Noise in the data

• Overfitting to training data

• Model's ability to perform well on new, unseen data

• Tuning model complexity

How is dimensionality related to a supervised machine learning algorithm?

•  It measures noise in the data

• It represents the number of features or attributes

• It refers to the complexity of the model

• It is unrelated to machine learning

What does the term "Blocking" imply in the design of machine learning experiments?

• Controlling for external factors

•  Replication of experiments

• Randomization of samples

• Nonparametric classification

How is regression different from classification in supervised learning?

(select all that apply)

• Regression deals with estimating continuous functions

• Classification deals with estimating continuous functioncs

• Regression deals with estimating discrete functioncs

• Classification deals with estimating discrete functioncs

What is the primary purpose of randomization in machine learning experiments?

• Minimize bias

•  Increase variance

•  Enhance model complexity

•  Expedite convergence