ML in Practice

Which of the following machine learning models have labels, or in other words, the correct answers to whatever it is that we want to learn to predict?

• Unsupervised Model

• Supervised Model

• Reinforcement Mode

• None of the above

Which model would you use if your problem required a discrete number of values or classes?

• Regression Model

• Unsupervised Model

• Supervised Model

• Classification Model

To predict the continuous value of our label, which of the following algorithms is used?

• Classification

• Regression

• Unsupervised

• None of the above

What is the most essential metric a regression model uses?

• Mean squared error as their loss function

• Cross entropy

• Both a & b

• None of the above

Why is regularization important in logistic regression

• Avoids overfitting

• Keeps training time down by regulating the time allowed

• Finds errors in the algorithm

• Encourages the use of large weights