Question 1

What is the primary goal of supervised learning in machine learning?

Accepted Answer

To learn a mapping from inputs to outputs based on labeled training data

Answer

To reduce the dimensionality of data for easier visualization

Answer

To create clusters of data points based on their similarity

Answer

To generate new data points without any labeled data

Question 2

What is the purpose of the training set in machine learning?

Accepted Answer

To provide data for the model to learn from

Answer

To evaluate the performance of the model

Answer

To store model parameters

Answer

To randomly select features for the model

Question 3

What is reinforcement learning primarily concerned with?

Accepted Answer

Learning optimal actions through trial and error to maximize cumulative reward

Answer

Classifying input data into predefined categories

Answer

Reducing dimensionality of data for visualization

Answer

Predicting continuous outcomes based on input features

Question 4

What is a common application of unsupervised learning?

Accepted Answer

Clustering data into groups

Answer

Predicting future outcomes

Answer

Reinforcing learning processes

Answer

Classifying labeled data

Question 5

What is the primary goal of supervised machine learning?

Accepted Answer

To learn a mapping from input data to output labels

Answer

To optimize hardware performance

Answer

To generate new data points

Answer

To find hidden patterns in unsupervised data

Question 6

Which algorithm is commonly used for classification tasks in machine learning?

Accepted Answer

Support Vector Machine (SVM)

Answer

Linear Regression

Answer

K-means Clustering

Answer

Principal Component Analysis (PCA)

Question 7

What is the primary difference between supervised and unsupervised learning?

Accepted Answer

Supervised learning uses labeled data; unsupervised learning does not

Answer

Supervised learning clusters data; unsupervised learning classifies data

Answer

Supervised learning requires more computational power than unsupervised learning

Answer

Supervised learning predicts future values; unsupervised learning analyzes past values

Question 8

What is a common metric used to evaluate the performance of a classification model?

Accepted Answer

Accuracy

Answer

Mean Squared Error

Answer

Silhouette Score

Answer

Log Loss

Related quizzes