Linear Models and Optimization - Machine Learning Quiz

1. What does Linear Regression aim to model?

The relationship between dependent and independent variables

The variance of data points

Non-linear patterns in data

The classification of data

2. What is the primary objective of Linear Regression?

To maximize the slope of the line

To minimize the Mean Squared Error (MSE)

To increase the number of data points

To classify data into categories

3. What is a loss function in machine learning?

A function that measures the discrepancy between predicted and actual values

A function used to calculate gradients

A function that normalizes data

A function that splits the dataset into train and test sets

4. Which loss function is most sensitive to outliers?

Mean Squared Error (MSE)

Mean Absolute Error (MAE)

Cross-Entropy Loss

Huber Loss

5. Which loss function is commonly used for classification problems?

Mean Squared Error (MSE)

Cross-Entropy Loss

Mean Absolute Error (MAE)

Hinge Loss

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Quiz 3: Linear Models and Optimization