Author Question: The process of knowledge discovery and data mining is best characterized as: a. machine learning, ... (Read 64 times)

Tazate · **on:** Jul 8, 2018

The process of knowledge discovery and data mining is best characterized as:

a. machine learning, use of statistical methods, large amounts of data.
b. a process wherein patients are selected for clinical trials.
c. fishing for information in data.
d. cleaning data for further analysis using other methods.

Question 2

Which measure is most important for evaluating the performance of classifiers, models that predict class membership?

a. Root mean squared error (RMSE)
b. Area under the receiver operating characteristic (ROC) curve
c. Percentage of correctly classified cases
d. Hosmer-Lemeshow statistic

bbburns21 · **Reply #1 on:** Jul 8, 2018

Answer to Question 1

ANS: A
Knowledge discovery and data mining (KDDM) is a process in which machine learning and statistical methods are applied to analyze large amounts of data.

Answer to Question 2

ANS: B
The area under the receiver operating characteristic (ROC) curve is the most important overall measure of classifier performance.