Machine Learning Quiz

1. What is the primary goal of machine learning?

• a) To write explicit instructions for solving a problem
  

• b) To enable systems to learn from data and improve over time
  

• c) To optimize hardware performance
  

• d) To design user interfaces

2. Which of the following is NOT a type of machine learning?
   

• a) Supervised Learning
  

• b) Unsupervised Learning
  

• c) Reinforcement Learning
  

• d) Rule-Based Learning

3. What is the role of a "label" in supervised learning?
   

• a) It is the input data
  

• b) It is the output variable to be predicted
  

• c) It is a feature of the dataset
  

• d) It is a hyperparameter

4. Which of the following is an example of unsupervised learning?
   

• a) Classification
  

• b) Regression
  

• c) Clustering
  

• d) Decision Trees

What is overfitting in machine learning?

• a) When a model performs well on training data but poorly on unseen data
  

• b) When a model performs poorly on both training and test data
  

• c) When a model is too simple to capture patterns in the data
  

• d) When a model has too few features

7. Which algorithm is used for splitting nodes in a decision tree?
   

• a) Gradient Descent
  

• b) Information Gain
  

• c) K-Means
  

• d) Principal Component Analysis

7. What is the purpose of the "K" in K-Nearest Neighbors (KNN)?
   

• a) It represents the number of clusters
  

• b) It represents the number of neighbors to consider
  

• c) It represents the number of features
  

• d) It represents the number of layers in a neural network

8. Which of the following is a clustering algorithm?
   
   
   
   

• a) Linear Regression

• b) Logistic Regression

• c) K-Means

• d) Support Vector Machines

9. What is the main objective of the Support Vector Machine (SVM) algorithm?
   

• a) To minimize the error between predicted and actual values

• b) To find the hyperplane that best separates the classes

• c) To reduce the dimensionality of the data

• d) To group similar data points together

10. Which of the following is NOT a neural network architecture?
    
    
    
    

• a) Convolutional Neural Network (CNN)

• b) Recurrent Neural Network (RNN)

• c) Random Forest

• d) Long Short-Term Memory (LSTM)