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Section checkpoint · 05

Instance & Kernel Methods

Use this short test to check whether the main ideas from the section are connected in your mind. A strong score means you can recognise the concepts; revisit linked lessons when an answer feels uncertain.

5questionsTarget: 4/5 or better

Question 11 point

Which concept is most appropriate for this situation: You need to predict a class or class probability rather than a continuous target.

KNN ClassificationScaling RequirementsKernel Trick IntuitionDistance Metrics

Question 21 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Distance Metrics” and explain how its input is transformed into a valid output.

SVM MarginsDistance MetricsKNN RegressionKNN Classification

Question 31 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “SVM Margins” and explain how its input is transformed into a valid output.

KNN RegressionSVM MarginsDistance MetricsScaling Requirements

Question 41 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Kernel Trick Intuition” and explain how its input is transformed into a valid output.

Distance MetricsScaling RequirementsKernel Trick IntuitionKNN Classification

Question 51 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Scaling Requirements” and explain how its input is transformed into a valid output.

Scaling RequirementsDistance MetricsKNN RegressionSVR Epsilon Tube