A model that looks perfect on old data can fail miserably on new data
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Luna
I fitted a super-wiggly line that hits every single training point. It looks amazing! But Professor Spark says it might be a trapβ¦
The Challenge
You will see two models trained on the same 8 students:
Simple model β a straight line (may leave some error)
Complex model β a very flexible curve that almost perfectly hits every training point
Then we reveal 4 new students the models have never seen. Your job: decide which model will predict the new students better. Think about generalisation, not just training performance.
PHASE 1 β Training data only
Look at both models on the data they were trained on