machine-learning video for you are a data scientist working on a predictive maintenance model for an industrial manufacturing company. The model is designed to
You are a data scientist working on a predictive maintenance model for an industrial manufacturing company. The model is designed to predict equipment failures based on sensor data collected over time. During the development process, you notice that the model performs exceptionally well on the training data but struggles to generalize to new, unseen data. Additionally, there are some indications that the model might not be fully capturing the complexity of the problem. To ensure the model performs well in production, you need to identify whether it is overfitting, underfitting, or both. Which of the following strategies is the MOST EFFECTIVE for identifying overfitting and underfitting in your model?