Data for AI Fundamentals

Data for AI Fundamentals

12th Grade

10 Qs

quiz-placeholder

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Data for AI Fundamentals

Data for AI Fundamentals

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Estebelle Khong

Used 2+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is supervised learning in machine learning?

Learning without labeled data

Learning with labeled data

Learning with a mix of labeled and unlabeled data

Learning from the structure of the input data

Answer explanation

Supervised learning involves training a model on a dataset that includes input-output pairs, meaning the data is labeled. The model learns to map inputs to outputs based on this labeled data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is commonly used for classification tasks?

Linear Regression

K-Nearest Neighbors (KNN)

K-Means Clustering

Principal Component Analysis (PCA)

Answer explanation

K-Nearest Neighbors (KNN) is a widely used algorithm for classification. It classifies a data point based on how its neighbors are classified. When a new, unlabeled instance needs to be classified, the KNN algorithm identifies the 'k' training instances that are closest to this new instance. The closeness is typically measured using distance metrics such as Euclidean distance.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is overfitting in machine learning?

When a model performs well on training data but poorly on test data

When a model performs well on both training and test data

When a model performs poorly on training data but well on test data

When a model performs poorly on both training and test data

Answer explanation

  • Overfitting occurs when a model learns the details and noise in the training data to an extent that it negatively impacts its performance on new, unseen data. This means the model has become too complex and specific to the training data.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is used to evaluate a regression model?

Accuracy

Precision

Recall

Mean Squared Error (MSE)

Answer explanation

  • Mean Squared Error (MSE) is a common metric for evaluating regression models. It measures the average squared difference between the actual and predicted values, giving an idea of how well the model's predictions match the true values.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary data structure used in pandas for 2-dimensional labeled data?

Series

DataFrame

Dictionary

Array

Answer explanation

A DataFrame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure with labeled axes (rows and columns) in pandas. It is similar to a table in a database or an Excel spreadsheet.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you read a CSV file into a pandas DataFrame?

  • pd.load_csv('file.csv')

pd.read_csv('file.csv')

pd.open_csv('file.csv')

pd.import_csv('file.csv')

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method is used to display the first few rows of a pandas DataFrame?

df.head()

df.tail()

df.first()

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