Imagine that you are given the following set of training examples. each feature can take on one of three nominal values: a, b, or c. test example: f1 = a, f2 = c, f3 = b f1 f2 f3 category a c a + c a c + a a c - b c a - c c b -
1. using the bayes rules, which class has highest posterior probability given the test example?
2. plot and show how a 3-nearest-neighbor algorithm would classify the test example given above.

For the closed feedwater heater below, feedwater enters state 3 at a pressure of 2000 psia and temperature of 420 °f at a rate of ix10 ibhr. the feedwat extracted steam enters state 1 at a pressure of 1000 psia and enthalpy of 1500 btu/lbm. the extracted er leaves at an enthalpy of 528.7 btu/lbm steam leaves as a saturated liquid. (16) a) determine the mass flow rate of the extraction steam used to heat the feedwater (10) b) determine the terminal temperature difference of the closed feedwater heater