UMKC DSOM II- CHP. 9: SUPERVISED DATA MINING K-NEAREST NEIGHBORS ANF NAÏVE BAYES EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE

UMKC DSOM II- CHP. 9: SUPERVISED DATA MINING K-NEAREST NEIGHBORS ANF NAÏVE BAYES EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE What is the process for classifying or predicting the value of the target variable of a new observation for given values of predictor variables called? Multiple choice question. Target value predicting Predicting a record Classifying a variable Scoring a record Scoring a record The premise of memory-based reasoning is that we tend to guide our decisions using the memories of similar situations we experienced in the past. Which data mining technique belongs to the memory-based reasoning category of data mining? Multiple choice question. k-nearest neighbors Discriminant analysis Logistic regression Ensemble tree models k-nearest neighbors or KNN Which of the following is a disadvantage of logistic regression methods? Select all that apply! Multiple select question. Assumes independence among predictors Only for classification Can be affected by collinearity between predictor variables Only for predictionOnly for prediction Can be affected by collinearity between predictor variables Only for Classification What is one of the key assumptions for the Naive Bayes Method? Multiple choice question. Assumes dependence of predictor variables Categorical predictor variables are independent Assumes predictors are normally distributed with unequal variance Assumes predictors are normally distributed with equal variance