Paschal Ugwu

An ROC curve effectively visualizes a model's ability to differentiate between two classes by plotting true positive rates against false positive rates at various thresholds.

K-Nearest Neighbors (KNN) is a machine learning technique that classifies data points based on the majority class of their nearest neighbors.

The Durbin-Watson statistic helps identify autocorrelation in regression error terms.

Data replication ensures data safety and accessibility by copying data across multiple servers, providing fast access and automatic updates.