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A company is preparing a dataset that will be used to train a machine learning model.
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the impact of data quality on the performance of the model.
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Practice IB Computer Science (First Exam 2027) Topic A4.2 Data Preprocessing with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for A4.2 Data Preprocessing and mirrors Paper 1, 2 style where relevant.
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A company is preparing a dataset that will be used to train a machine learning model.
the impact of data quality on the performance of the model.
Numerical features in a dataset are rescaled before the data is used to train a model.
the concepts of normalization and standardization.
A team argues that with enough data, preprocessing becomes unnecessary. this claim.
A data set mixes annual salaries in the tens of thousands with ages in double figures. why a model trained on unnormalized data may converge slowly.
A column of ages contains one value of 400. the type of data problem this represents.
