Practice IB Computer Science (First Exam 2027) Topic A4.3 Machine Learning Approaches with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for A4.3 Machine Learning Approaches and mirrors Paper 1, 2 style where relevant.
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A medical diagnosis system uses machine learning to analyse patient symptoms and medical images for disease detection.
(a) the role of the training data, the validation data and the test data when developing the diagnosis model.
(b) overfitting and underfitting, giving an example of how each could occur in the diagnosis model.
A retailer applies association rule mining and finds that customers buying bread often buy butter. why this does not establish that buying bread causes the purchase of butter.
A team doubles its network's depth and finds accuracy on new data falls. why adding more layers to a neural network does not always improve its performance.
A warehouse robot settles on the first route that reached its destination successfully.
why an agent that always exploits its current best policy may never find the optimal strategy.
One of a team's two models scores far better in training than in testing, while the other scores poorly at both.
the difference between overfitting and underfitting.
