2. You are trying to decide if the radios are coming off an assembly line bad or ok. Features to use for
this decision are given as W,R,H:
B
W
R
H
ok false false true
ok false true false
ok false true false
ok true false false
ok false false false
bad true false false
bad true true false
bad false true true
MACHINE LEARNING QUESTION
a. Calculate the ML parameters (probabilities) for the naive Bayes model of this domain.
$\hat{P}(B)$
bad
ok
$\hat{P}(W \mid B)$
$\hat{P}(R \mid B)$
$\hat{P}(H \mid B)$
true bad
true bad
true bad
false bad
false bad
false bad
true ok
true ok
true ok
false ok
false ok
false ok
b. Suppose you are given an observation of: W=false, R=true, H=false. What prediction would your
naive Bayes classifier make: bad or ok?