Question
Credit Card Use: Consider the following hypothetical bank data on consumers use of credit card credit facilities in Table 11.3. Create a JMP data table
Credit Card Use: Consider the following hypothetical bank data on consumers use of credit card credit facilities in Table 11.3. Create a JMP data table using Table 11.3 (File>New>Data Table), and create a neural network model (Analyze>Predictive Modelling>Neural) using your new data table. Use the default validation method (Holdback Portion) and use the random seed 123. (see the screen capture below)
- What is the misclassification rate on the validation set? [ Select ] ["0", "0.4268", "0.012", "0.4"]
- How many parameters are estimated to build this model? [ Select ] ["14", "15", "13", "12"] (Hint: use the red triangle option "Show Estimates")
Use the Profiler (red triangle option) to explore how the predicted response changes as you change values of the predictors. Describe what you observe. Determine whether the statement below is either true or false.
- As years increases, the probability of "Use Credit = 1" decreases. As Salary increases, the probability of "Use Credit = 1" increases.. The highest probability that "Use Credit = 1" is when Years is low and Salary is High. (TRUE/FALSE?):
Fit another neural network to this same data. To produce the same results first set the random seed to 456 (in the first launch window). There will be differences between this model and the first model. Why do the results differ? Determine whether the statement below is either true or false.
- The starting values for the weights are different (random starting values are used unless the random seed is set), leading to different final models. (TRUE/FALSE?):
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