During evaluation, a carnival ticket-fraud model scores almost perfectly on the training weeks and collapses on the validation weeks. The gap appears before go-live. The network that hosts the lab is healthy. What is the team seeing?
Select an answer to reveal the explanation.
Short Explanation
Think of a student who aces the practice packet and bombs a new packet. Glowing training weeks and collapsed validation weeks is overfitting, caught in evaluate. A healthy lab network is not a switch outage, and a high training score is the opposite of underfitting.
Full Explanation
A glowing training score and a collapsed validation score is overfitting, and finding it during evaluate is the point of that stage. A healthy lab network rules out a switch outage. Underfitting is a poor fit on the training data, the opposite of a near-perfect training score. Evaluation is not deployment or live monitoring.