NAIVE BAYES PROBABILITIES CALCULATION - PLEASE HELP

Use the following probabilities to calculate naive bayes probabilities:

i. P (MAX_SEV_IR = 1) = 3/12 = 0.25

ii. P (WEATHER_R = 1 | MAX_SEV_IR = 1) = 2/3 = 0.67

iii. P (WEATHER_R = 2 | MAX_SEV_IR = 1) = 1/3 = 0.33

iv. P (TRAF_CON_R =0 | MAX_SEV_IR = 1) = 3/3 = 1

v. P (TRAF_CON_R =1 | MAX_SEV_IR = 1) = 0

vi. P (TRAF_CON_R =2 | MAX_SEV_IR = 1) = 0

vii. P (MAX_SEV_IR = 0) = 9/12 = 0.75

viii. P (WEATHER_R = 1 | MAX_SEV_IR = 0) = 3/9 = 0.33

ix. P (WEATHER_R = 2 | MAX_SEV_IR = 0) = 6/9 = 0.67

x. P (TRAF_CON_R =0 | MAX_SEV_IR = 0) = 6/9 = 0.67

xi. P (TRAF_CON_R =1 | MAX_SEV_IR = 0) = 2/9 = 0.22

xii. P (TRAF_CON_R =2 | MAX_SEV_IR = 0) = 1/9 = 0.11

Using the 12 probabilities above, please calculate the following Naive Bayes conditional probabilities (and show how you calculate one):

1) P (MAX_SEV_IR = 1 | WEATHER_R = 1 and TRAF_CON_R = 0)

2) P (MAX_SEV_IR = 1 | WEATHER_R = 2 and TRAF_CON_R = 0)

3) P (MAX_SEV_IR = 0 | WEATHER_R = 1 and TRAF_CON_R = 0)

4) P (MAX_SEV_IR = 0 | WEATHER_R = 1 and TRAF_CON_R = 1)

5) P (MAX_SEV_IR = 0 | WEATHER_R = 1 and TRAF_CON_R = 2)

6) P (MAX_SEV_IR = 0 | WEATHER_R = 2 and TRAF_CON_R = 0)

7) P (MAX_SEV_IR = 0 | WEATHER_R = 2 and TRAF_CON_R = 1)