Mashdemy 16-20 AI/ML

In a simple linear regression case study, which metric is commonly used to evaluate the model's performance?

• Mean Absolute Error (MAE)

• ⁠Silhouette Score

• Confusion Matrix

• Accuracy

What is the primary difference between simple linear regression and multiple linear regression?

• Simple linear regression uses one independent variable, while multiple linear regression uses two or more.

• Simple linear regression is used for classification tasks, while multiple linear regression is for regression tasks.

• Simple linear regression fits a linear model, while multiple linear regression fits a non-linear model.

• There is no difference; they are the same.

In a multiple linear regression case study, which of the following assumptions is NOT required for the model?

• Linearity

• Homoscedasticity

• Multicollinearity

• Data must be categorical

In Logistic Regression, which of the following functions is used to map predicted values to probabilities?

• a) Sigmoid function

• b) Linear function

• c) Hyperbolic tangent function

• d) ReLU function

• • a) Linear function

• • b) Hyperbolic tangent function

• • c) Sigmoid function

• • d) ReLU function

• Which of the following statements about Supervised Learning (SL) is true?

• • a) SL algorithms do not require labeled data for training.

• • b) SL algorithms aim to discover hidden patterns in data.

• • c) SL algorithms learn a mapping from input features to output labels.

• • d) SL algorithms are typically used for clustering tasks.

In Logistic Regression, the decision boundary is defined by the ________________ of the predicted probabilities.

Which of the following is an example of an Unsupervised Learning (UL) algorithm?

• • a) Decision Tree

• • b) K-Means Clustering

• • c) Random Forest

• • d) Support Vector Machine (SVM)

In a simple linear regression model, which plot can help you visualize the relationship between the independent and dependent variables?

• Scatter plot with a regression line

• Bar plot

• Box plot

• Pie chart

Which of the following indicates multicollinearity in multiple linear regression?

• Variance Inflation Factor (VIF) greater than 10

• ⁠Low Durbin-Watson statistic

• Low R-squared value

• High p-value

The equation of a simple Linear Regression model is given by ________________, where y is the dependent variable, x is the independent variable, c is the intercept, and m is the slope.