Suppose you mistakenly use CowsPerAcre instead of NitrogenLevel. According to the wrapper results, how much does the cross-validation accuracy change?

You are building a regression model to predict house prices based on features such as size, age, number of rooms, and location. You are considering two feature transformation techniques: Principal Component Analysis (PCA)} to reduce dimensionality. Polynomial feature expansion} to capture nonlinear relationships. Which of the following statements are true in this scenario?

You are analyzing a high-dimensional dataset (d = 100) with the following characteristics: There are three underlying clusters with very different sizes (one large, two small). The data contains moderate Gaussian noise. The clusters are roughly spherical in their original feature space You are tasked with selecting a clustering method that is robust in high-dimensional, noisy, andimbalanced settings. Which of the following statements are true in this scenario?

Under EM, what is the (normalized) responsibility of Cluster 2? Round to 3 decimal spaces. 

Based on Euclidean distance, which cluster would x_new = 7 be assigned to?

Question Set 3: Feature Transformation

Under EM, what is the (normalized) responsibility of Cluster 1? Round to 3 decimal spaces. 

Question Set 1: Clustering

Will the marginal entropy H(Y) increase, decrease, or stay the same?

Compute the sum of the highest excess kurtosis values.