Quiz Data Mining
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Decision Trees are built using: Select one: a. heuriscs b. greedy algorithms c. dynamic programming d. divide and conquer strategy Answer B The problem of Curse of Dimensionality is associated with: Select one: a. increasing data points b. increasing noise in data c. increasing dimensions d. increasing users Answer C Which type of classifier would you prefer? A classifier with: Select one: a. Zero training error & high generalizaon error b. High training error & high generalizaon error c. High training error & low generalizaon error d. Low training error & high generalizaon error Answer c If A & B together appear in 80% of transacons, then Select one: a . Both ARs, A-->B & B-->A have 80% support b. Both ARs, A-->B and B-->A have same support & confidence c. The AR, B-->A has 90% support d. The AR, A-->B has 100% support Answer A Clustering is: Select one: a. Predicve & unsupervised b. Predicve and supervised c. Descripve and supervised
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This is quiz question for data mining. Data mining interview question.
Transcript of Quiz Data Mining
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.
