* Source: http://www.inf.u-szeged.hu/~ormandi/ai2/06-naiveBayes-example.pdf
*
* Variable 1 = Color
*   0 = Red
*   1 = Yellow
* Variable 2 = Type
*   0 = Sports
*   1 = SUV
* Variable 3 = Origin
*   0 = Domestic
*   1 = Imported
* Objective = Stolen
*   0 = No
*   1 = Yes
*
* Given data:
* 1 Red Sports Domestic Yes
* 2 Red Sports Domestic No
* 3 Red Sports Domestic Yes
* 4 Yellow Sports Domestic No
* 5 Yellow Sports Imported Yes
* 6 Yellow SUV Imported No
* 7 Yellow SUV Imported Yes
* 8 Yellow SUV Domestic No
* 9 Red SUV Imported No
* 10 Red Sports Imported Yes
*
* Test case:
* "We want to classify a Red Domestic SUV"
*
* Answer:
* "Since 0.069 > 0.037, our example gets classified as ’NO’"
*
0,0,0,1
0,0,0,0
0,0,0,1
1,0,0,0
1,0,1,1
1,1,1,0
1,1,1,1
1,1,0,0
0,1,1,0
0,0,1,1