Go to UCI Machine-Learning Repository (archive.ics.uci.edu/ml/index.php), identify four data sets for classification-type problems, and use these data
Question:
Go to UCI Machine-Learning Repository (archive.ics.uci.edu/ml/index.php), identify four data sets for classification-type problems, and use these data sets to build and compare ANN, SVM, kNN, and Naïve Bayes models. To do so, you can use any analytics tool. We suggest you use a free, open-source analytics tool such as KNIME (knime.org) or Orange (orange.biolab.si). Prepare a well-written report to summarize your findings.
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Identify Datasets Visit the UCI Machine Learning Repository UCI Machine Learning Repository Browse or search for datasets that are suitable for classi...View the full answer
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