PredictEvaluateCorrectEvaluate
PredictEvaluateCorrectEvaluate is a coined term describing a cyclical framework for developing and refining predictive systems through repeated anticipation, assessment, and adjustment. It emphasizes iterative learning where forecasts or decisions are continuously improved by measuring performance and applying targeted corrections.
In the Predict phase, a model or rule produces outputs, predictions, or decisions based on available inputs.
The Correct phase applies changes to improve future predictions. Corrections can take many forms, such as updating
Applications of this framework span machine learning pipelines, forecasting, risk assessment, and decision-support systems, especially where