ML-40-Questions

which is a widely used and effective machine learning algorithm based on the idea of bagging.

• regression
• classification
• decision tree
• random forest

How can you handle missing or corrupted data in a dataset?

• Drop missing rows or columns
• Assign a unique category to missing values
• Replace missing values with mean/median/mode
• All of the above

Which of the followings are most widely used metrics and tools to assess a classification model?

• Confusion matrix
• Cost-sensitive accuracy
• Area under the ROC curve
• All of the above

Machine learning algorithms build a model based on sample data, known as .................

• Training Data
• Transfer Data
• Data Training
• None of the above

Identify the type of learning in which labeled training data is used

• Semi unsupervised learning
• Supervised learning
• Reinforcement learning
• Unsupervised learning

Machine learning is a subset of which of the following.

• Artificial intelligence
• Deep learning
• Data learning
• None of the above

Which of the following is not a supervised learning

• PCA
• Naive Bayesian
• Linear regression
• Decision tree

Which of the following is not a machine learning algorithm?

• SVM
• SVG
• Random Forest
• None

What does K stand for in K mean algorithm?

• No.of clusters
• No.of iterations
• No. of data
• No.of attributes

The backpropagation law is also known as generalized delta rule, is it true?

• Yes
• No