Question: Question 1 (1 point) All steps in a data mining project are sequential and without backtracking. True False Question 2 (1 point) With a classification

Question 1 (1 point) All steps in a data mining project are sequential and without backtracking. True False Question 2 (1 point) With a classification method, if what is being predicted is a class label, the prediction problem is called a regression True False Question 3 (1 point) In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as: A) decision trees. B) association rule mining. C) artificial neural networks. OD) cluster analysis. Question 4 (1 point) What does the robustness of a data mining method refer to? A) its speed of computation and computational costs in using the mode B) its ability to construct a prediction model efficiently given a large amount of data OC) its ability to predict the outcome of a previously unknown data set accurately OD its ability to overcome noisy data to make somewhat accurate predictions
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
