Question

The goal of the _______________ is to get the model's error rate as low as possible. to do this, we repeat a cycle of feeding training data, compare predictions to actual outcomes, and adjust the model as needed.

A: Develop phase
B: Algorithmic phase
C: Training phase
D: Deployment phase

Answer 1

Option (C), The 'training phase' is the correct answer, where the model is adjusted based on comparisons of predictions to actual outcomes to minimize error rates. This involves an iterative process of refinement and testing to ensure accurate performance prediction.

Step-by-step explanation:

The goal of the training phase is to get the model's error rate as low as possible. To achieve this, we undergo a cycle where we feed training data, compare the model's predictions to the actual outcomes, and then adjust the model accordingly. This iterative process involves refining the design, gathering data to test predictions, and, if necessary, revisiting earlier steps to select a new design concept. The scientific model should closely approximate the performance of the actual prototype, and thorough testing and replication are essential to verify the results and ensure the model is a good predictor of performance.