Project #92783 - Problem about data mining for business intelligence

Do the 11.1

 

11.1 Credit Card Use. Consider the following

hypothetical bank data on consumers’ use of credit card

credit facilities in Table 11.3. Create a small worksheet in

Excel, like that used in Example 1, to illustrate one pass

 

through a simple neural network.

 

Here is the Table 11.3

 

a. Use XLMiner’s neural network routine to fit a model

using the XLMiner default values for the neural net

parameters, except normalizing the data. Record the RMS

error for the training data and the validation data. Repeat

the process, changing the number of epochs (and only this)

to 300, 3000, and 10,000.

 

i. What happens to the RMS error for the training data as

the number of epochs increases?

 

ii. What happens to the RMS error for the validation data?

 

iii. Comment on the appropriate number of epochs for the

model.

 

b. Conduct a similar experiment to assess the effect of

 

changing the number of layers

Subject Computer
Due By (Pacific Time) 11/15/2015 12:00 am
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