ML_BEML

Which of the following defines Machine Learning?        

• Machine Learning is solely based on human input.
• The autonomous acquisition of knowledge through the use of computer programs

• The autonomous acquisition of knowledge through the use of manual programs

• Machine Learning is a method for manual data entry.

Which of the following is not a supervised machine learning algorithm? 

• Naïve Bayes

• SVM for classification problems

• Decision tree

• K-means

Which of the following is not suitable for binary classification problem

• K-Nearest Neighbors

• Decision Trees

• Linear Regression

• Random Forest

What is the key difference between supervised and unsupervised learning?

• Supervised learning predicts labels, while unsupervised learning discovers patterns

• Supervised learning requires labelled data, while unsupervised learning does not

• Supervised learning requires labelled data, while unsupervised learning also needs them

• Supervised learning is always more accurate than unsupervised learning

An artificially intelligent car decreases its speed based on its distance from the car in front of it. Which algorithm is used?

• Naïve Bayes

• Decision Tree

• Linear Regression

• Logistic Regression

Machine learning is a subset of

• data mining
• deep learning
• neural networks
• artificial intelligence

Data point possess negative residual if

• The regression lines truly pass through the point

• They are the above the regression line

• They are below the regression line

• All of the above

Which of the following machine learning algorithm is associated with the idea of bagging?

• Decision Tree

• Random Classifier

• Regression Tree

• Random Forest

Which of the following metric do you use to evaluate the regression models?

• F1 Score
• Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared
• Accuracy Score
• Precision Score

What does ROC stand in classification model curves

• A)   Remitter Operating Curves

• Receiver Operating Characteristic

• Receivable Operating Characteristics

• Receive Operating Curves