Supervised Machine Learning Quiz

What is supervised machine learning?

• A type of machine learning that only works with images

• A type of machine learning that does not require data

• A type of machine learning that learns from labeled data

• A type of machine learning that learns from unlabeled data

What is a labeled dataset?

• Data that includes only output values

• Data that is not used for training

• Data that includes input features and correct output values

• Data that includes only input features

What is the goal of supervised machine learning?

• To learn a mapping function to predict outputs

• To collect data

• To evaluate model performance

• To deploy models

Which of the following is NOT a step in supervised learning?

• Model Evaluation

• Data Visualization

• Data Collection and Preparation

• Model Deployment

What is the first step in supervised learning?

• Model Testing

• Data Collection and Preparation

• Algorithm Selection

• Model Training

What is multiclass classification?

• Sorting data into two categories

• Sorting data into more than two categories

• Sorting data into no categories

• Sorting data into one category

What is multi-label classification?

• Data can belong to two categories only

• Data can belong to only one category

• Data can belong to multiple categories at once

• Data cannot belong to any category

What does regression predict?

• Text data

• Continuous target variables

• Discrete classes

• Categorical variables

What is linear regression?

• A method to cluster data

• A method to predict categorical outcomes

• A method to predict continuous outcomes using a linear relationship

• A method to classify data into categories

What is multiple linear regression?

• Using only categorical variables

• Using one independent variable to predict outcomes

• Using multiple independent variables to predict outcomes

• Using no independent variables to predict outcomes