Question 1

Which type of machine learning model can be trained using the Support Vector Machine algorithm?


Question 2

When using the classification report from sklearn.metrics to evaluate the performance of your model, what does the F1-Score metric provide?


Question 3

The Precision and Recall metrics are derived from four possible prediction outcomes.

If the predicted label is 1, but the actual label is 0, what would the outcome be?


Question 4

In multiclass classification, what are the two ways in which you can approach a problem?


Question 5

Hierarchical clustering creates clusters using two methods.

Which are those two methods?


Question 6

To which kind of machine learning can the K-Means clustering algorithm be associated with?


Question 7

You are using scikit-learn library to train a K-Means clustering model that groups observations into four clusters. How should you create the K-Means object?