1. The aim of this part of the assignment is to learn how to use Artificial Neural Networks models for classification with the NNPred Excel macros.
2. The tutorial on Part C is given on week 17 as the 007_Assignment_1_Part_C.ppt file. The tutorial describes the main settings for running the NNPred.
3. The data, Cars Data, used for this part are embedded into the NNPred.
4. The data have to be split for training and testing a Neural Network in a proportion 2/3 and 1/3 respectively.
5. The desired Neural Network is expected to classify the test data most accurately, ideally with error (or misclassification) rate close to 0.
6. To achieve the best classification, run NNPred with different settings as described in the tutorial.
7. Describe your results and conclusions for report.
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