HW-9 - Problem L9-1: 1. Use Weka to construct a...

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Problem L9-1: 1. Use Weka to construct a backpropagation neural network model that uses the inputs you suggested in problem L6-2 to predict the value of “symboling.” You must use at least two of the following nominal attributes 3, 4, 5, 7, 8, 9, & 18. Use 3-fold cross validation. Try producing several neural networks and report information about you network that has the best classification accuracy. You need use only training and testing sets. You do NOT need a validation set. 2. For the model you developed which had the highest classification rate, provide a. Screen shot of the knowledge flow environment (or the Explorer environment) you use. b. Information about the network architecture and initial settings (you may use a screen shot to do this.) c. Cross validation table showing the results of each test along with the mean and standard deviations of the tests. Be sure to include % correct classifications on test data as well as mean absolute error. Indicate the conclusions you draw from this information. d.
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This note was uploaded on 08/25/2011 for the course CPE 404 taught by Professor Merz during the Fall '09 term at Missouri S&T.

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HW-9 - Problem L9-1: 1. Use Weka to construct a...

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