Tree-Based and Distance-Based Models - Machine Learning Quiz

1. What is the primary purpose of a decision tree in machine learning?

To cluster data points

To make data-driven decisions using a series of conditions

To reduce the dimensionality of the dataset

To calculate distance between data points

2. In a decision tree, what does a leaf node represent?

A feature used for splitting

The final prediction or class label

The midpoint of the dataset

The sum of the features

3. What is Gini Impurity used for in decision trees?

To measure the quality of a split

To calculate the depth of the tree

To identify the root node

To normalize the dataset

4. What does the parameter 'k' represent in K-Nearest Neighbors?

The number of features in the dataset

The number of nearest neighbors to consider

The distance metric used

The size of the training dataset

5. Which of the following distance metrics can be used in KNN?

Euclidean Distance

Manhattan Distance

Cosine Distance

All of the above

🔒

Quiz 6: Tree-Based and Distance-Based Models