Reference no: EM133588503

Question

1. Knowing the objective is NOT important because it will determine how you frame the problem.

True

False

2. What does Root Mean Square Error (RMSE) primarily indicate in the context of predictions?

RMSE measures the average error in predictions with equal weights for all errors.

RMSE provides a measure of the worst-case error in predictions.

RMSE gives an idea of how much error the system typically makes in its predictions with a higher weight for large errors.

RMSE is used to calculate the total error in a prediction system.

3. What is an online learning system?

A system that learns through a wired internet connection.

A system that can learn from data incrementally adapting to changing environments.

A learning system that only operates during office hours.

A system that learns offline without any internet access.

4. In building a model the Components typically run asynchronously. Each component pulls in a large amount of data, processes it, and spits out the result in another data store.

True

False

5. What is a labeled training set? A labeled training set is a training set that contains the desired solution (a.k.a. a _______) for each instance.

Classifier

Tagged

Substance Label

Data point