Classification Machine Learning Scenarios Quiz

Quiz covering Machine Learning Techniques

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following scenarios is a classic example of a binary classification problem in Machine Learning?

2. 2

   You are building a model in Azure Machine Learning to categorize customer support tickets into one of four departments: Billing, Technical, Shipping, or General Inquiry. Which metric is most appropriate for evaluating this multi-class classification model?

3. 3

   A bank uses a machine learning model to detect fraudulent credit card transactions. Because fraud is rare, the dataset is highly imbalanced (99% legitimate, 1% fraudulent). Why might 'Accuracy' be a misleading metric for this model?

4. 4

   When configuring an Automated Machine Learning (AutoML) job in Azure to perform classification, what is the purpose of the 'Primary Metric' setting?

5. 5

   You are evaluating a classification model using a Confusion Matrix. The model predicts 'Positive' for 50 cases, but 10 of those were actually 'Negative'. The model predicts 'Negative' for 100 cases, but 5 of those were actually 'Positive'. What is the Precision of your model?