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Q4 (2.5). Classifying sales wins and losses. This question builds on Example 1 in Tutorial 2. Using the same classifiers and the same target attribute
Q4 (2.5). Classifying sales wins and losses. This question builds on Example 1 in Tutorial 2. Using the same classifiers and the same target attribute as in Tutorial 2, experiment with three non- intersecting subsets of size 5 of the attributes of the sales data. Compare their performance with each other and with the use of the full set of attributes using 5-fold cross validation. Discuss your choice of the subsets, and your interpretation of the results. Use visualizations of appropriate quantities to make sense of the results and support your interpretation. Q4 (2.5). Classifying sales wins and losses. This question builds on Example 1 in Tutorial 2. Using the same classifiers and the same target attribute as in Tutorial 2, experiment with three non- intersecting subsets of size 5 of the attributes of the sales data. Compare their performance with each other and with the use of the full set of attributes using 5-fold cross validation. Discuss your choice of the subsets, and your interpretation of the results. Use visualizations of appropriate quantities to make sense of the results and support your interpretation
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