Quiz on Linear Discriminant Analysis and Regression

What does Linear Discriminant Analysis (LDA) primarily aim to maximize?

• Dimensionality

• Total variance

• Between-class variance

• Within-class variance

Which of the following is a common application of LDA?

• Weather forecasting

• Face recognition

• Stock market prediction

• Time series analysis

What is the primary purpose of regression analysis?

• Classification of data

• Data visualization

• Estimating relationships among variables

• Dimensionality reduction

In linear regression, what is the relationship between input variables and the outcome variable?

• Non-linear

• Random

• Exponential

• Linear

What type of regression involves more than one independent variable?

• Multiple Linear Regression

• Simple Linear Regression

• Logistic Regression

• Polynomial Regression

Which activation function is commonly used in neural networks for binary classification?

• ReLU

• Tanh

• Softmax

• Sigmoid

What is the main advantage of using the ReLU activation function?

• It is suitable for all types of data

• It is always linear

• It is computationally expensive

• It prevents the vanishing gradient problem

What does the Softmax function do in multi-class classification problems?

• Normalizes the input data

• Calculates the mean of the inputs

• Converts logits into probabilities

• Finds the maximum value

Which of the following is a limitation of the Perceptron Classifier?

• It is complex to implement

• It can handle non-linear problems

• It requires a large dataset

• It cannot solve non-linearly separable problems

What is the purpose of the kernel trick in Support Vector Machines?

• To map data into a higher-dimensional space

• To simplify the model

• To increase the number of support vectors

• To reduce dimensionality