Glossary

F-Score metrics (Accuracy, Precision, Recall, and F1 Score) assess classification model performance. Accuracy gauges correct predictions, Precision evaluates true positives, Recall denotes model sensitivity, and F1 Score is Precision and Recall’s harmonic mean.

Data fusion is the process of amalgamating diverse data sources, amplifying decision-making precision and dependability. It acts as a critical tool in comprehensive data analysis and management.

Data Integration is the key process of merging diverse datasets from multiple sources, ensuring accurate and up-to-date information for optimized AI and ML applications.