Lab Projects Assignment 1

What type of machine learning algorithm is linear regression?

• Unsupervised learning

• Reinforcement learning

• Supervised learning

• Deep learning

In the lab project, what is the primary goal of the linear regression model?

• To classify houses into different categories.

• To predict the median value of house prices.

• To cluster houses based on their features.

• To identify outliers in the housing dataset.

Which Python library is used to import the dataset in the lab project?

• Scikit-learn

• Numpy

• Matplotlib

• Pandas

Which of the following is a disadvantage of the linear regression algorithm according to the text?

• It is computationally expensive.

• It is difficult to interpret the coefficients.

• Its performance is easily affected by outliers.

• It requires large amounts of data to train.

What does the MEDV column in the dataset represent?

• The median age of houses.

• The mean number of rooms per dwelling.

• The median value of owner-occupied homes.

• The proportion of lower status of the population.

Which function is used to calculate the correlation between columns in the dataset?

• head()

• read_csv()

• corr()

• heatmap()

What does a lighter box in the heatmap indicate?

• Higher negative correlation

• No correlation

• Higher positive correlation

• Zero correlation

Which metric is calculated by taking the average of the absolute error between the real and predicted values?

• Mean Squared Error (MSE)

• Root Mean Squared Error (RMSE)

• Mean Absolute Error (MAE)

• R-squared

What sklearn class is used to implement linear regression?

• LinearModel

• Regression

• LinearRegression

• SklearnRegression

What type of machine learning task is spam email filtering?

• Regression

• Clustering

• Classification

• Dimensionality Reduction