Data Mining Question! Thanks!

Savings low low high high low low low low low high Cust. ID Age Capital Gain Attrite 41 mid 35 younghigh 26 younglow 37 mid 32 younghigh 40 mid 30 young high low yes no yes yes no yes no no no 4 Ow low young low 28 young high 27 younglow 10 yes Suppose age is discretized at 36. (Names 'young' and 'mid' are given as simplifications) Ignore Cust. ID as an attribute Show the ID3 decision tree process (using information gain) for choosing the first attribute to branch on. Show how to use the tree to predict Attrite for a new person who is 33 with Capital Gain low an