Data Rain Test Sleep Early Activity FALSE TRUE Insufficient FALSE Walk TRUE TRUE Sufficient FALSE Study TRUE FALSE Insufficient TRUE Study TRUE FALSE Insufficient TRUE Study TRUE TRUE Insufficient FALSE Study TRUE TRUE Sufficient TRUE Study TRUE FALSE Sufficient FALSE Study FALSE TRUE Insufficient TRUE Walk FALSE FALSE Insufficient FALSE Walk FALSE TRUE Insufficient FALSE Walk TRUE TRUE Sufficient TRUE Study TRUE TRUE Insufficient TRUE Walk Assignment You are given the following two instances of data: Rain Test Sleep Early Activity FALSE FALSE Sufficient TRUE ? FALSE | TRUE Sufficient FALSE ? 1. Develop a model using Prism. What does your Prism model predict for each instance above? 2. Develop a model using Apriori. Use a support count of 40% (5 instances) and a confidence of 70%. Show your frequent item sets at each stage, and show the rules you generate that satisfy our confidence criterion. Here we're not making classification predictions, so you don't need to do anything with the instances above. Data Rain Test Sleep Early Activity FALSE TRUE Insufficient FALSE Walk TRUE TRUE Sufficient FALSE Study TRUE FALSE Insufficient TRUE Study TRUE FALSE Insufficient TRUE Study TRUE TRUE Insufficient FALSE Study TRUE TRUE Sufficient TRUE Study TRUE FALSE Sufficient FALSE Study FALSE TRUE Insufficient TRUE Walk FALSE FALSE Insufficient FALSE Walk FALSE TRUE Insufficient FALSE Walk TRUE TRUE Sufficient TRUE Study TRUE TRUE Insufficient TRUE Walk Assignment You are given the following two instances of data: Rain Test Sleep Early Activity FALSE FALSE Sufficient TRUE ? FALSE | TRUE Sufficient FALSE ? 1. Develop a model using Prism. What does your Prism model predict for each instance above? 2. Develop a model using Apriori. Use a support count of 40% (5 instances) and a confidence of 70%. Show your frequent item sets at each stage, and show the rules you generate that satisfy our confidence criterion. Here we're not making classification predictions, so you don't need to do anything with the instances above