Quiz 1: TEW on ML

What is the primary goal of supervised learning?

• To find the best parameters for a given model

• To find the best model for a given set of parameters

• To learn the underlying structure of the data

• To predict a target variable using a set of input variables

Which of the following is an unsupervised learning technique?

• Decision tree

• K-means clustering

• Random forest

• Gradient descent

What is the purpose of the bias term in a linear regression model?

• To represent the influence of the input variables on the target variable

• To ensure that the model is able to generalize to new data

• To shift the predicted values up or down to better match the true values

• To penalize complex models and prevent overfitting

Which of the following evaluation metrics is appropriate for imbalanced datasets?

• Accuracy

• Precision

• Recall

• F1 score

Which of the following techniques can be used to reduce the dimensionality of a dataset?

• Principal Component Analysis (PCA)

• Support Vector Machines (SVM)

• Decision trees

• Linear regression

What is the purpose of cross-validation in machine learning?

• To evaluate the performance of a model on a dataset that it was not trained on

• To reduce the number of features in the dataset

• To increase the complexity of the model

• To speed up the training process of the model.