MC	Given the following five transactions:<br><br>T1 {K, A, D, B}<br>T2 {D, A, C, E, B}<br>T3 {C, A, B, D}<br>T4 {B, A, E}<br>T5 {B, E, D}<br><br>Consider the association rule R: A -> BD.<br><br>Which statement is correct?	The support of R is 100% and the confidence is 75%.	incorrect	The support of R is 75% and the confidence is 60%.	incorrect	The support of R is 60% and the confidence is 100%.	incorrect	The support of R is 60% and the confidence is 75%.	correct	
MC	Which of the following measures cannot be used to make the splitting decision in a regression tree?	Mean Squared Error (MSE)	incorrect	Entropy	correct	ANOVA/F-test	incorrect	
MC	Bootstrapping refers to:	Drawing samples with replacement.	correct	Drawing samples without replacement.	incorrect	
MC	Featurization in the context of neural networks refers to...	making features (=inputs) out of the network characteristics.	correct	adding more local features to the data set.	incorrect	adding more nodes to the network.	incorrect	selecting the most predictive features.	incorrect	
MC	Bootstrapping refers to:	Drawing samples without replacement.	incorrect	Drawing samples with replacement.	correct	
MC	Given the following five transactions:<br><br>T1 {K, A, D, B}<br>T2 {D, A, C, E, B}<br>T3 {C, A, B, D}<br>T4 {B, A, E}<br>T5 {B, E, D}<br><br>Consider the association rule R: A -> BD.<br><br>Which statement is correct?	The support of R is 60% and the confidence is 75%.	correct	The support of R is 75% and the confidence is 60%.	incorrect	The support of R is 60% and the confidence is 100%.	incorrect	The support of R is 100% and the confidence is 75%.	incorrect	
MC	Bootstrapping refers to:	Drawing samples with replacement.	correct	Drawing samples without replacement.	incorrect	
MC	Featurization in the context of neural networks refers to...	making features (=inputs) out of the network characteristics.	correct	adding more nodes to the network.	incorrect	adding more local features to the data set.	incorrect	selecting the most predictive features.	incorrect	
MC	Bootstrapping refers to:	Drawing samples with replacement.	correct	Drawing samples without replacement.	incorrect	
MC	Outlying observations which represent erroneous data are treated using...	truncation or capping.	incorrect	missing value procedures.	correct