Machine Learning Basics·Practice drills 11

Drill 26: Invalid input — Overfitting and regularisation

Describe what happens when the input is invalid.

Intermediate 5 min read Lesson 267 of 300 Challenge included
What you will be able to do
  • Describe what happens when the input is invalid.

Practice task

Describe what happens when the input is invalid.

regularise.pyPython
from sklearn.linear_model import Ridge
from sklearn.model_selection import cross_val_score

model = Ridge(alpha=1.0)
scores = cross_val_score(model, X, y, cv=5, scoring='neg_mean_absolute_error')
print(-scores.mean())
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Describe what happens when the input is invalid.

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Lesson 267 of 300 · 0% of course