MLUP 2nd Internal 4th Sem

Which of the following is an application of Machine Learning?

• Medical Diagnosis
  

• Agriculture

• Mining

• All of the above

What is the key difference between Supervised and Unsupervised Learning?

• Supervised learning requires labeled data, while unsupervised learning does not.

• Unsupervised learning requires labeled data, while supervised learning does not.

• Both require labeled data.

• None of the above.

Which dataset is commonly used for classification and regression problems?

• Titanic dataset

• IRIS dataset

• MNIST dataset

• COCO dataset

What is the main purpose of PCA in Machine Learning?

• To increase the number of features

• To reduce dimensionality and remove redundancy

• To make the model more complex

• To change data types

10. Which technique is commonly used to split data into training and testing sets?

• Random Sampling

• K-Means Clustering

• Data Shuffling

• Cross Validation

In regression, the goal is to predict a __________ variable.

• Categorical

• Numerical

• Boolean

• Discrete

The equation of a simple Linear Regression model is:

• y = ax + c
• y = mx^2 + b
• y = m + bx
• y = mx + c

What is the purpose of the Mean Squared Error (MSE) in regression?

• Measures classification accuracy

• Determines how well a regression model fits data

• Identifies missing values in a dataset

• Converts categorical variables into numerical

What is the role of multiple linear regression?

• f) Analyzes time series data
• b) Uses multiple independent variables to predict a dependent variable
• e) Uses a single dependent variable
• g) Focuses on non-linear relationships

Which evaluation metric is used to measure errors in regression models?

• Mean Absolute Error (MAE)
• Precision
  

• Recall

• Mean Squared Error (MSE)