Why might XGBoost often beat neural networks on tabular data?

A nurse is assessing the skin of a client who had been on a hiking trip and developed a number of inflamed red patches on his hands and face as an allergic reaction. How should the nurse document this finding?

Why should you cluster on full data but use PCA for visualization?

What is a good silhouette score?

What is backpropagation?

K-Means converges when ______ stop moving.

What is K-Means++ initialization?

A new nurse is caring for a client with influenza. What statement made by the new nurse indicates that she understands the incubation stage for influenza? 

You ran the elbow method and silhouette analysis: K=2: Inertia=1500, Silhouette=0.65 K=3: Inertia=900, Silhouette=0.58 K=4: Inertia=600, Silhouette=0.62 K=5: Inertia=500, Silhouette=0.55 Based on these metrics, which K would you choose? Explain your reasoning considering both the elbow point and silhouette scores.

The parameter n_init in KMeans specifies the number of random ______ to try.