Model A is supervised: Which classification follows from these training methods?
Labeled target outcomes indicate supervised learning; unlabeled structure discovery indicates unsupervised learning.
The question
A school district evaluates two models for identifying students who may need tutoring. Model A learns from historical records labeled “needed tutoring” and “did not need tutoring.” Model B receives unlabeled attendance and coursework data and groups students by similarity. Which classification follows from these training methods?
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- Model A clusters students; Model B predicts tutoring needThe methods are reversed: Model A learns a labeled prediction, while Model B groups unlabeled observations by similarity.
- Model A uses reinforcement learning; Model B is supervisedNo reward feedback is described for Model A, and Model B does not learn from labeled targets, so neither classification fits.
- Model A is supervised; Model B is unsupervised ✓Model A learns from labeled target outcomes, while Model B discovers structure in data without target labels.
- Both models are supervised learning systemsThe presence of student records does not make learning supervised; Model B has no labeled target outcome in the described training.
The trap
Look first for target labels, structure discovery, or reward feedback; classify the method from that evidence. How to remember it
Labeled target outcomes indicate supervised learning; unlabeled structure discovery indicates unsupervised learning.
How many of these would you get right?
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