10 min Score: 0 Attempted: 0/10 Subscribe 1. What does the support metric represent in association rule mining? (A) The proportion of transactions containing only the consequent (B) The proportion of transactions containing the antecedent and consequent (C) The strength of an association rule compared to random chance (D) The likelihood of the antecedent leading … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What does the FP in FP-Growth stand for? (A) Frequent Processing (B) Frequent Pairs (C) Frequent Patterns (D) Fast Patterns 2. Which of the following is a primary advantage of the FP-Growth algorithm over the Apriori algorithm? (A) It avoids candidate generation. (B) It generates association rules … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main purpose of the Apriori algorithm? (A) To classify data into predefined categories (B) To find frequent itemsets and generate association rules (C) To predict future trends in time series data (D) To reduce the dimensionality of the dataset 2. The Apriori algorithm works … Read more

1. What is the main purpose of the Apriori algorithm? A) To classify data into predefined categories B) To find frequent itemsets and generate association rules C) To predict future trends in time series data D) To reduce the dimensionality of the dataset Answer: B) To find frequent itemsets and generate association rules Explanation: The … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the primary objective of Association Rule Mining? (A) To cluster data into groups (B) To reduce the dimensionality of data (C) To classify data into predefined categories (D) To find hidden patterns or relationships between variables in a dataset 2. Which of the following metrics … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main goal of cluster evaluation? (A) To find the optimal number of clusters (B) To compute the distance between data points (C) To visualize the clusters in a 2D or 3D space (D) To determine the quality of the clusters formed by a clustering … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main idea behind DBSCAN (Density-Based Spatial Clustering of Applications with Noise)? (A) Cluster data based on density of points in the dataset (B) Cluster data based on the distance between data points (C) Partition data into predefined K clusters (D) Minimize the variance within … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the primary objective of hierarchical clustering? (A) To partition data into a predefined number of clusters (B) To minimize the number of clusters (C) To classify data into categories based on predefined labels (D) To form a hierarchy of clusters from the dataset 2. Which … Read more

1 min Score: 0 Attempted: 0/1 Subscribe 1. 1. In K-means clustering, what does the “K” represent?2. Which of the following is the objective of the K-means algorithm?3. What is the first step in the K-means clustering algorithm?4. What happens if the value of “K” is set too high in K-means clustering?5. Which of the … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following is a characteristic of clustering? (A) It is a type of supervised learning. (B) It is a type of unsupervised learning. (C) It requires labeled data. (D) It involves predictions based on historical data. 2. What does the K-means algorithm aim to minimize? … Read more