True-False Questions on Supervised Learning

True or False: Supervised learning uses labeled data to train algorithms with the guidance of a teacher.

• True

• False

True or False: Labeled data can consist of examples without any correct answers or classifications.

• True

• False

True or False: In regression problems, the output variable is a category, such as 'disease' or 'no disease'.

• True

• False

True or False: Polynomial regression can model non-linear relationships effectively compared to linear regression.

• True

• False

True or False: Linear regression is ideal for modeling relationships in large datasets to avoid overfitting.

• True

• False

True or False: The equation of simple linear regression is expressed in the form y = a + bx.

• True

• False

True or False: Linear regression models can be used effectively when the relationship between variables is not linear.

• True

• False

True or False: A regression analysis can model the relationship between a dependent variable and one or more independent variables.

• True

• False

True or False: After training, a supervised learning model applies the knowledge to both labeled and unlabeled data.

• True

• False

True or False: The flexibility of polynomial regression allows it to capture intricate patterns suitable for non-linear trends.

• True

• False