UNIT II Supervised Learning QUIZ Part 1

Suppose you are working on weather prediction, and use a learning algorithm to predict tomorrow's temperature (in degrees Centigrade/Fahrenheit). Would you treat this as a classification or a regression problem?

• Regression

• Classification

• None of the Above

What is the main goal of machine learning?

• To make computers intelligent

• To automate manual tasks

• To enable computers to learn from data

• To create self-aware machines

What is the purpose of regularization in linear regression?

• To make the model more complex

• To avoid underfitting

• To encourage overfitting

• To reduce the complexity of the model

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

• To reduce model complexity 

• To improve model interpretability 

• To enhance model performance

• To increase the number of training samples

For the Given Dataset the Covariance and correlation values are

• 136, 0.996

• 137, 0.771

• 152, 0.521

• 142, 0.996

For the given dataset the values of regression parameters are

• 15.509, 4.162

• 13.209, 3.502, 7.239

• 17.532, 15.102, 16.772

• 19.762, 15.302

The t test value of a slope parameter of hypothesis H: B = 0 is

• 1.24

• 30.71

• 14.57

• 11.52

The t test value of slope parameter for the Hypothesis H:B = 12 is

• 17.57

• 15.19

• 11.57

• 6.94

What are the SSE, SSR and SST Values of the given data set respectively

• 7.156, 5.147, 12.313

• 10.156, 9.147, 19.313

• 348.848, 27419.500 ,27768.348

• 350.848, 27450.500, 27801.348

What is the R-square value of the given dataset

• 0.897

• 0.787

• 0.987

• 0.657