Under Classify menu in XLMiner, perform k-nearest neighbors classification with all the predictors from columnA (CRIM) to column B (LSTAT) (excluding the MEDV, the MEDV column is the outcome or decision variable for prediction) for both training data set and validation data set, and find the best K for validation data set, trying values of k from 1 to 10 to classify CAT. MEDV (make sure to normalize the data). Also attach the execution result file including confusion matrix, lif chart, and ROC chart in your submission.

saas delivery model;

the major difference between the two is the objective and the reward of the game. candy crush has a puzzle theme with the objective of meeting a specific quota of points or objects, you are able to gain access to the next level and compete with peers on the process. on duolingo the objective is rather different, you are given sets of questions for you to answer for you to move to the next level and as for the reward, you are able to learn available language as this is an app developed to teach the user about other languages.