Cuestionario Oracle Academy

What is Information Entropy in Machine Learning?

• It refers to the amount of information available in a dataset.

• It measures how uncertain or disordered a dataset is.

• It calculates the variance in a dataset.

• It determines the accuracy of a machine learning model.

Which of the following best describes recursion in programming?

• A function that calls another function.

• A function that calls itself.

• A loop that repeats a block of code.

• A conditional statement in a program.

What is a Binary Tree?

• A type of data structure with a linear arrangement.

• A tree structure where each node has at most two children.

• A tree structure where each node has an arbitrary number of children.

• A structure that stores data in a non-hierarchical way.

Which traversal method prints the nodes of a tree in the order: left, node, right?

• In-order traversal

• Pre-order traversal

• Post-order traversal

• Level-order traversal

What does the ID3 algorithm primarily calculate in decision trees?

• The depth of the tree.

• The probability of each class.

• The information gain of each attribute.

• The total number of leaf nodes.

How does recursion help in tree structures?

• It is used to navigate the tree by calling the same method on the left and right children.

• It reduces the size of the tree.

• It creates a binary tree from the data.

• It helps calculate entropy for the tree.

Which of the following is NOT a type of decision tree algorithm?

• C4.5

•  CART

• K-means

•  ID3

In the context of machine learning, what is the CRISP-DM model used for?

• It is a framework for data collection in machine learning.

•  It helps determine the best machine learning algorithm for the problem.

• It is a methodology for understanding the flow of machine learning projects.

• It describes the process of cleaning and preparing data.

In a "Yes/No Game" decision tree, what happens if the computer fails to guess the correct answer?

• The computer stops the game.

• The user wins and provides feedback to improve the tree.

• The game restarts automatically.

• The computer adjusts its questions randomly.

What is the main purpose of variance in machine learning?

• To measure the degree of uncertainty in the data.

• To measure how far the data is spread out from the mean.

• To determine the relationship between two variables.

• To predict the outcomes of a decision tree.