Recipes and cooking

Users can post recipes on the site and can rate the recipes posted by others. This dataset contains ingredient and rating information for 9999 recipes. There is a binary column for each ingredient specifying whether or not the recipe contains that ingredient as well as a column indicating whether that recipe’s average rating is in the top 10% of all recipes posted to the site. The goal of this activity is to use association rules to learn more about common sets of ingredients and what tends to produce highly rated recipes. Start by importing the dataset into RapidMiner and then building a process to produce a set of association rules. You will need to use the Numerical to Binominal operator. In the FP-Growth operator set the min support parameter to 0.003. (That will ensure that only combinations of ingredients appearing in at least 30 recipes will be used as premises or conclusions.) In the Create Association Rules operator set the min confidence parameter to 0.1. Based ONLY ON THIS SET of association rules answer the following 8 questions: Change the min support parameter in the FP-Growth operator to 0.001 and re-run the process. Answer the remaining questions based ONLY ON THIS SET of association rules: Once you have written your answers for all of the questions upload a PDF file with your answers. Requirements: 1 page | .doc file What is the most commonly observed pair of ingredients in the dataset? (That is which two ingredients appear together in the most recipes?) What proportion of recipes include both of those ingredients? If a recipe includes almond how likely is it to include chocolate? What association rule has the highest confidence? Briefly explain the meaning of that rule’s confidence level. In your explanation refer to the specific ingredients not the words “premise” or “conclusion.” If a recipe includes raisin how exactly does that affect the probability that the recipe includes apple? What two ingredients are part of the two association rules with the highest lift ratio? What does that lift ratio tell you about the relationship between these two ingredients? How many rules are there in the output that have Top10% as a conclusion? What ingredient is associated with the highest probability of the recipe being in the top 10%? How likely is it that a recipe with that ingredient is in the top 10%? Of the following two recipes for Christmas Cake and Muffin Cup Veggie Omelets:https://www.epicurious.com/recipes/food/views/chri…https://www.epicurious.com/recipes/food/views/muffin-cup-vegetarian-veggie-omeletswhich is more likely to have an average rating in the top 10% on Epicurious based on your association rules? Why? Identify an association rule with a confidence of 1. Briefly explain the meaning of that rule having a confidence of 1. In your explanation refer to the specific ingredients not the words “premise” or “conclusion.” What ingredients make it very likely that a recipe is going to include onion? Identify at least five. What other single ingredient most increases the probability that a recipe includes garlic? How many pairs of ingredients lead to a >50% chance of the recipe being in the top 10%? What are those pairs of ingredients? What is the most commonly observed pair of ingredients in the dataset? (That is which two ingredients appear together in the most recipes?) What proportion of recipes include both of those ingredients?If a recipe includes almond how likely is it to include chocolate?What association rule has the highest confidence? Briefly explain the meaning of that rule’s confidence level. In your explanation refer to the specific ingredients not the words “premise” or “conclusion.”If a recipe includes raisin how exactly does that affect the probability that the recipe includes apple?What two ingredients are part of the two association rules with the highest lift ratio? What does that lift ratio tell you about the relationship between these two ingredients?How many rules are there in the output that have Top10% as a conclusion?What ingredient is associated with the highest probability of the recipe being in the top 10%? How likely is it that a recipe with that ingredient is in the top 10%?Of the following two recipes for Christmas Cake and Muffin Cup Veggie Omelets:https://www.epicurious.com/recipes/food/views/chri…https://www.epicurious.com/recipes/food/views/muffin-cup-vegetarian-veggie-omeletswhich is more likely to have an average rating in the top 10% on Epicurious based on your association rules? Why? Identify an association rule with a confidence of 1. Briefly explain the meaning of that rule having a confidence of 1. In your explanation refer to the specific ingredients not the words “premise” or “conclusion.”What ingredients make it very likely that a recipe is going to include onion? Identify at least five.What other single ingredient most increases the probability that a recipe includes garlic?How many pairs of ingredients lead to a >50% chance of the recipe being in the top 10%? What are those pairs of ingredients? ‘

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