Machine Learning Quiz

Which of the following libraries is used for linear regression modeling in scikit-learn?

• sklearn.metrics

• sklearn.tree

• sklearn.linear_model

• sklearn.model_selection

What is the primary role of train_test_split() in a machine learning pipeline?

• Scaling the dataset

• Selecting important features

• Dividing data for model training and testing

• Reducing overfitting

Which evaluation metric calculates the average absolute difference between predicted and actual values?

• R-squared

• Mean Squared Error

• Mean Absolute Error

• Root Mean Squared Error

Which function is used to train a machine learning model in scikit-learn?

• predict()

• fit()

• train()

• compile()

What is the purpose of StandardScaler() in preprocessing?

• Remove missing values

• Normalize values to 0 and 1

• Standardize features by removing the mean and scaling to unit variance

• Reduce dimensionality

Which of the following models is non-linear in nature?

• LinearRegression

• DecisionTreeRegressor

• LogisticRegression

• Ridge

What happens if you call predict() before calling fit() on a scikit-learn model?

• It will predict default values

• It will raise an error

• It will retrain the model

• It will return zero predictions

Which metric penalizes larger errors more severely than others?

• MAE

• MSE

• Accuracy

• R2

In a regression task, which of the following is an appropriate target variable type?

• Categorical

• Boolean

• Continuous numerical

• Text

What type of problem is solved by using LinearRegression()?

• Classification

• Regression

• Clustering

• Dimensionality Reduction