WorksheetsMachine Learning (Introduction)
Total questions: 10
Worksheet time: 50mins
Which model is the best choice for fraud detection?
Precision = 0.8, Recall = 0.4
Precision = 0.4, Recall = 0.8
Precision = 0.7, Recall = 0.7
For the application of telesales, suppose we have a million customers in database, a company want to make a phone call for offering special privileges to customers who are likely to purchase. Calling to all of them is impossible. Which measures are the most important to identify possible customers?
Precision
Recall
Sensitivity
Specificity
What is the concept of reinforcement learning?
Learning from labeled data
Learning from unlabeled data
Learning from environment
Why do we need to set hyper-parameters?
Model configuration
Model validation
Model deployment
What is the correct for the red dot for the application of diabetes prediction?
Setting threshold = 0, All samples have diabetes
Setting threshold = 1, All samples do not have diabetes
Setting threshold = 0, All samples do not have diabetes
Setting threshold = 1, All samples have diabetes
What is the correct for the red dot for the application of diabetes prediction?
Setting threshold = 0, All samples have diabetes
Setting threshold = 1, All samples do not have diabetes
Setting threshold = 0, All samples do not have diabetes
Setting threshold = 1, All samples have diabetes
What is True (You may have multiple answer)
Training accuracy = 0.90, Testing accuracy = 0.89, your model is good enough to deploy for diabetes prediction
Area under curve of ROC is 0.9, your model is good enough to deploy for lung cancer prediction
Training accuracy = 0.90, Testing accuracy = 0.89, your model is not overfit
Area under curve of PR Curve is 0.9, your model is good enough to deploy for lung cancer prediction
Which model is good enough for fraud detection?
Precision = 0.9, Recall = 0.9
Precision = 0.9, Recall = 0.6
Precision = 0.6, Recall = 0.9
Precision = 0.6, Recall = 0.6
What is limitation of over sampling?
It could make model underfit
It could make model overfit
What is limitation of under sampling
It could make model underfit
It could make model overfit
