Association Rule Mining & Ensemble Methods Quiz

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Test your knowledge on data mining and ensemble techniques.

Jenson

India

#	Jeux	Précision	temps
1	Jenson 4 Août 2025	% 70	01:41

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Association Rule Mining & Ensemble Methods Quiz


Association Rule Mining & Ensemble Methods QuizVersion en ligne Test your knowledge on data mining and ensemble techniques. par Jenson 1 What is the main goal of association rule mining? a Discover interesting relationships between variables b Reduction of data dimensionality c Prediction of dependent variables d Grouping of similar data points 2 Which metric measures the strength of an association rule? a Support and Confidence b Support c Lift d Confidence 3 What does ensemble methods combine? a Features b Single model c Data points d Multiple models to improve accuracy 4 Which algorithm is commonly used for association rule mining? a Naive Bayes b Decision Tree c Apriori d K-means 5 What is a key advantage of ensemble methods? a Speed up training b Simplify models c Increase prediction accuracy d Reduce data size 6 Which of these is an ensemble technique? a Random Forest b K-means c Linear Regression d PCA 7 In association rule mining, support indicates what? a Number of rules b Strength of rule c Frequency of itemsets in data d Confidence level 8 Which is NOT a typical ensemble method? a Random Forest b Boosting c Bagging d Single Decision Tree 9 What is the purpose of boosting in ensemble methods? a Reduce data b Improve weak learners c Decrease model complexity d Combine features 10 Which metric is used to evaluate association rules? a Precision b Support c Lift d Accuracy