Question: Q1. (20 p) Consider the following example dataset with three attributes as presented in the table on the right: Savings (low, medium, high), Assets

Q1. (20 p) Consider the following example dataset with three attributes as

Q1. (20 p) Consider the following example dataset with three attributes as presented in the table on the right: Savings (low, medium, high), Assets (low, medium, high), Income (numerical value), and a binary class label Credit risk (good, bad). Construct a decision tree heuristically (as we did in class) to decide on the Credit Risk of an applicant. Q2. (10 p) Define each of the following in one sentence: - KDD Customer Savings Assets Income ($1000s) Credit risk 1 282 Medium High 75 Good 2 Low Low 50 Bad 3 High Medium 25 Bad 4 Medium Medium 50 Good 5 Low Medium 100 Good High High 25 Good 7 Low Low 25 Bad 8 Medium Medium 75 Good 56 - - DM Centrality - Eigenvector Centrality PageRank

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