Domain-specific vocabulary always guarantees higher accuracy in sentiment analysis.

Heteroscedasticity violates a core regression assumption about equal error variance. 

Topic modeling is an unsupervised method for discovering themes.

A/B testing compares multiple versions of a webpage to measure performance differences. 

Logistic regression is suitable for predicting continuous outcomes.  

Social Network Analysis (SNA) considers relationships and connections between users.

Which evaluation metric is most appropriate for imbalanced classification problems?

One-Hot Encoding is typically used for:

Principal Component Analysis (PCA) reduces dimensionality by identifying directions of maximum variance. 

Time-series anomaly detection often uses: