1. Which of the following algorithm might not work well for a binary classification task? A. Logistic Regression B. Line
Posted: Fri May 20, 2022 2:57 pm
1. Which of the following algorithm might not work well for a binary classification task?
A. Logistic Regression
B. Linear Regression
C. Naïve Bayes
D. Decision Tree
2. Which of the following method is more suitable than random selection for selecting the initial centroids of a k-means clustering algorithm?
A. Select the first centroid at random, and pick the rest of the centroids far away from the selected centroids.
B. Use hierarchical clustering to decide the initial centroid.C. Select the first centroid at random, and pick the rest of the centroids as close as possible from the selected centroids.D. Both (a) and (b)
B. Use hierarchical clustering to decide the initial centroid.
C. Select the first centroid at random, and pick the rest of the centroids as close as possible from the selected centroids.
D. Both (a) and (b)
A. Logistic Regression
B. Linear Regression
C. Naïve Bayes
D. Decision Tree
2. Which of the following method is more suitable than random selection for selecting the initial centroids of a k-means clustering algorithm?
A. Select the first centroid at random, and pick the rest of the centroids far away from the selected centroids.
B. Use hierarchical clustering to decide the initial centroid.C. Select the first centroid at random, and pick the rest of the centroids as close as possible from the selected centroids.D. Both (a) and (b)
B. Use hierarchical clustering to decide the initial centroid.
C. Select the first centroid at random, and pick the rest of the centroids as close as possible from the selected centroids.
D. Both (a) and (b)