HW4 - Project 2 Classification Start date Oct 23 due Nov 6...

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Project 2: Classification Start date Oct 23, due Nov 6 beginning of class. The goal of this project is to choose and evaluate classification mechanisms. I would suggest using the mechanisms available in Weka or RapidMiner, although you may implement your own if you wish. Use Adult, Iris, Zoo datasets from the UCI Machine Learning Repository . If you wish to use other datasets in place of these, please give me a pointer to or description of the datasets and I'll let you know if that is okay. What you need to do for this project is: 1. Compare the performances of the four classification algorithms: Decision tree, Naïve Bayes, KNN, SVM 2. Explain which algorithm you would use for what types of data and why. Project Report The project report should contain the following: 1. Discussion of each of the 3 experiment comparisons: 1. Description of the data sets 2. Parameters chosen for the algorithms, e.g., what’s the k in KNN etc. 3. How you prepared the data 4. Platform information: Description of the machine and system information
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