Confusion matrices evaluate:

Lemmatization uses grammar and vocabulary to find base word forms.

TF–IDF assigns higher weight to rare but informative terms.

Dashboards should include every available metric to maximize detail.

Cross-validation reduces overfitting by ensuring models are trained and tested on all data splits. 

A large language model (LLM) like GPT is characterized by:

Hierarchical clustering can produce:

Variance Inflation Factor (VIF) is used to detect multicollinearity.

Which algorithm can handle multiple seasonality for Time Series Data?

Which metric combines precision and recall?