Supervised Learning DY0-001 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A retail store analyzes purchase transactions and finds that customers who buy diapers also often buy baby wipes. What type of analysis is this?

   • AAssociation rule mining
   • BLinear regression
   • CNaive Bayes classification
   • DK-means clustering
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A bank is building a model to predict whether a loan applicant will default (binary: yes/no). The dataset has 10,000 applicants, but only 500 defaulted. The bank's risk team cares most about correctly identifying the defaulters, even if it means flagging some non-defaulters for review. The model will be used to prioritize manual review, not to auto-approve or deny loans. Which evaluation approach best matches this business need?

   • AOptimize for precision on the default class
   • BOptimize for accuracy on the full dataset
   • CUse k-nearest neighbors with k=1 to avoid the class imbalance
   • DOptimize for recall on the default class
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   What is a key characteristic of k-nearest neighbors (KNN) as a learning algorithm?

   • AIt is an eager learner that fits a global model
   • BIt builds a probabilistic model of the data
   • CIt is a lazy learner that stores the training data
   • DIt requires features to be normally distributed
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   How does k-nearest neighbors (KNN) classify a new data point?

   • ABy fitting a linear function to the data
   • BBy averaging the target values of all training points
   • CBy taking a majority vote among its k nearest neighbors
   • DBy building a decision tree from the training data
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   In association rule mining, what does 'support' measure?

   • AThe strength of the relationship between items
   • BThe accuracy of a prediction model
   • CThe frequency of an itemset in the dataset
   • DThe number of rules generated
   Reveal Solution Discussion Select an answer first