CodeHS Artificial Intelligence and Machine Learning Fundamentals 2

Question 1

What is the difference between artificial intelligence (AI) and machine learning (ML)?

Accepted Answer

AI is the broad field of making machines simulate intelligence; ML is a subset using data-driven learning

Answer

AI and ML are identical terms with no distinction

Answer

ML encompasses all of AI, including rule-based systems

Answer

AI refers only to robotics, while ML applies to software

Question 2

Which evaluation metric measures the proportion of correctly classified instances out of all instances in a classification problem?

Accepted Answer

Accuracy

Answer

Precision

Answer

Recall

Answer

F1 Score

Question 3

What is a 'feature' in the context of a machine learning dataset?

Accepted Answer

An individual measurable property or characteristic used as input to the model

Answer

The output label the model is trying to predict

Answer

The algorithm used to train the model

Answer

A data point that causes the model to overfit

Question 4

In CodeHS's AI and ML units, what concept describes an AI system's inability to perform well on data it has not seen during training?

Accepted Answer

Poor generalization

Answer

Underfitting

Answer

Bias

Answer

Data leakage

Question 5

Which type of machine learning algorithm is a decision tree?

Accepted Answer

Supervised learning algorithm

Answer

Unsupervised clustering algorithm

Answer

Reinforcement learning algorithm

Answer

Generative adversarial network

Question 6

What is the purpose of splitting data into training and test sets?

Accepted Answer

To evaluate model performance on unseen data and detect overfitting

Answer

To speed up the training process by using less data

Answer

To ensure the model memorizes all available examples

Answer

To balance the class distribution in the dataset

Question 7

Which of the following best describes a 'neural network' in AI?

Accepted Answer

A computational model inspired by the human brain, consisting of interconnected nodes organized in layers

Answer

A collection of if-then rules manually coded by programmers

Answer

A database structure optimized for storing large datasets

Answer

A type of sorting algorithm used to preprocess training data