Decision Trees are built using:Select one:a. heuristicsb. greedy algorithmsc. dynamic programmingd. divide and conquer strategy

Answer B

The problem of Curse of Dimensionality is associated with:Select one:a. increasing data pointsb. increasing noise in datac. increasing dimensionsd. increasing users

Answer C

Which type of classifier would you prefer? A classifier with:Select one:a. Zero training error & high generalization errorb. High training error & high generalization errorc. High training error & low generalization errord. Low training error & high generalization error

Answer c

If A & B together appear in 80% of transactions, thenSelect one:a. Both ARs, A-->B & B-->A have 80% supportb. Both ARs, A-->B and B-->A have same support & confidencec. The AR, B-->A has 90% supportd. The AR, A-->B has 100% support

Answer A

Clustering is:Select one:a. Predictive & unsupervisedb. Predictive and supervisedc. Descriptive and supervisedd. Descriptive and unsupervisedAnswer D

If I want to know what kind of students are registered in the Data Mining course this semester, then which Data Mining technique I will use:Select one:a. Association Rule Miningb. Clusteringc. Predictiond. ClassificationAnswer C

Credit card companies use Data Mining. Which Data Mining technique is used for authorizing or denying or taking any other action for each credit card swipe:Select one:a. Association Rule Miningb. Predictionc. Clusteringd. ClassificationAnswer D

Decision trees can suffer from:Select one:a. only overfittingb. neither underfitting nor overfittingc. both underfitting & overfittingd. only underfitting

Answer C

A more appropriate name for Data Mining could be:Select one:a. Knowledge Miningb. Internet Miningc. Data Warehouse Miningd. Database MiningAnswer AModel under fitting leads to:Select one:a. Low training error & high generalization errorb. Zero training error & high generalization errorc. High training error & low generalization errord. High training error & high generalization errorAnswer D

Classifier Accuracy depends on:Select one:a. Training datab. Test Datac. Both on training and test datad. Neither on training nor on test dataAnswer C

Pick the right sequence:Select one:a. DW-OLTP- OLAP- DMb. OLTP-DW-DM-OLAPc. OLTP-DW-OLAP-DMd. OLAP-OLTP-DW-DM

Answer C

Outliers are:Select one:a. Points very different than other pointsb. Not importantc. Noise pointsd. Errors

Answer A

Pick the correct statement about decision tree based classification:Select one:a. Model over fitting is a more serious problemb. Model under fitting & over fitting can happen togetherc. Model under fitting is a more serious problemd. Model under fitting is a due to presence of noiseAnswer AWhich impurity measure has the highest maximum value:Select one:a. Entropyb. Misclassification errorc. Both Gini & Misclassificationd. GiniAnswer ASentfrommyBlackBerry10smartphone.