GENERAL KNOWLEDGE

Detailed explanation-1: -Scientists can measure what has happened in the past, so if the model fits the data, it is thought to be a little more trustworthy. If it doesn’t fit, it’s time to do some more work. This process of comparing model predictions with observable data is known as ‘ground-truthing’.

Detailed explanation-2: -Scientific view A scientific model is a physical and/or mathematical and/or conceptual representation of a system of ideas, events or processes. Scientists seek to identify and understand patterns in our world by drawing on their scientific knowledge to offer explanations that enable the patterns to be predicted.

Detailed explanation-3: -Scientific models and theories must make testable predictions. Like any scientist, the astronomer makes observations, which suggest hypotheses. These speculations are made into predictions of what may be observed under slightly different observing and/or analysis circumstances.

Detailed explanation-4: -In short, predictive modeling is a statistical technique using machine learning and data mining to predict and forecast likely future outcomes with the aid of historical and existing data. It works by analyzing current and historical data and projecting what it learns on a model generated to forecast likely outcomes.