Neural Networks with R

Implementation using nnet() library

To improve our practice with the nnet library, we look at another example. This time we will use the data collected at a restaurant through customer interviews. The customers were asked to give a score to the following aspects: service, ambience, and food. They were also asked whether they would leave the tip on the basis of these scores. In this case, the number of inputs is 2 and the output is a categorical value (Tip=1 and No-tip=0).

The input file to be used is shown in the following table:

No	CustomerWillTip	Service	Ambience	Food	TipOrNo
1	1	4	4	5	Tip
2	1	6	4	4	Tip
3	1	5	2	4	Tip
4	1	6	5	5	Tip
5	1	6	3	4	Tip
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