Weighted Scoring

What is weighted scoring?

In machine learning, each metric or feature is assigned a weight that determines how important that metric will be during training and inference.

How does this work in prediction?

Metric Influence Analysis pinpoints which features matter and which introduce noise. Using these insights, we can raise or lower the weights of individual features to improve the model and achieve better accuracy.