Exam AWS Certified Machine Learning - Specialty topic 1 question 339 discussion

Class Imbalance (CI): This occurs when certain classes (in this case, age groups) are underrepresented in the dataset. This can lead to biased model predictions because the model may not learn enough about the underrepresented class to make accurate predictions1.

B is correct because.

B is the correct option

The type of pretraining bias observed in the training dataset, where there are fewer examples of customers in the 40 to 55 year-old age group compared to the other age groups, is: B. Class imbalance (CI) Explanation: Class imbalance (CI) refers to a situation where certain classes or groups are underrepresented in the dataset. In this case, the age group 40 to 55 is underrepresented compared to other age groups. Difference in proportions of labels (DPL) generally refers to differences in the proportions of different labels (outcomes) rather than input features like age. Conditional demographic disparity (CDD) refers to differences in outcomes for different demographic groups conditional on certain factors, not the raw distribution of demographic features. Kolmogorov-Smirnov (KS) is a statistical test used to compare distributions, but it is not specifically a type of bias. Therefore, the correct answer is B. Class imbalance (CI).

Answer is C

Class imbalance can lead to biased models that perform poorly on the underrepresented class or group, as the model may not have enough examples to learn the patterns and characteristics of that class effectively.