Which of the following would generally result in a Regression Problem?

Question

BlackTom AI · Accepted Answer

When asked about which option would generally result in a Regression Problem, we should assess the nature of the target variable in each choice.
Option 1: Predicting the specific block number (e.g., 101, 102) when estimating HDB resale flat prices. This is a discrete, ordinal or categorical target, depending on how blocks are treated, and typically approached as classification or a structured prediction problem rather than regression.
Option 2: Predicting the Car Price in Singapore Dollars (e.g., $120,500, $155,000) for a used COE car. Here the target is a continuous numeric value representing price, which aligns with regression since we’re estimating a quantity on a continuous scale with real-valued outputs.
Option 3: Predicting the type of cuisine (e.g., Chinese, Malay, Indian) a customer prefers in a hawker centre. This is a categorical label problem, i.e., classification, not regression.
Option 4: Predicting a bank account number based on customer characteristics. While numbers are numeric, account numbers are identifiers rather than quantities to be predicted as a meaningful numeric measure; predicting an ID-like string is not standard regression and is more akin to sequence or pattern prediction, often treated as a specialized classification or generation task rather than regression.
In summary, only Option 2 involves forecasting a continuous numeric value suitable for regression techniques, whereas the others involve categorical, discrete, or identifier targets that fall outside the classic regression framework.

Which of the following would generally result in a Regression Problem?单项选择题

类似问题

You are provided with data about Airbnb listings and you want to predict the price for a new listing based on its descriptive features such as number of bedrooms, and its location. The task is:

Which data mining task is most appropriate for the following business question?: "What is the probability that a customer will revisit our store within the next two months? (e.g. 32%)"

Which data mining task is most appropriate for the following business question?: "What is the probability that a customer will revisit our store within the next two months? (e.g. 32%)"

A machine-learning algorithm considers the height, weight, and bone density of 100 people. From these descriptors, it predicts the exact age when each person will retire. Which word best describes this application of machine learning?

Question at position 8 An excess of growth hormone (GH) before puberty can result in the development ofgigantism.Graves' disease.acromegaly.pituitary dwarfism.Clear my selection

Question at position 6 The most abundant supporting cells in the central nervous system are called Question Blank 1 of 1[input].

Question at position 5 In the eye, the lens functions tofocus light on the retina at the back of the eye.protect the surface of the eye.increase vision in low-light conditions.move the eye side to side.Clear my selection

Question at position 4 Olfactory (odor) receptors are chemoreceptors. TrueFalse

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单