Which are types of supervised learning problems? (Select all that apply)

Question

BlackTom AI · Accepted Answer

Question: Which are types of supervised learning problems? (Select all that apply)

Option 1: Time series Analysis
- Time series analysis often involves forecasting future values based on past observations. While such problems can be tackled with machine learning, they are not inherently classified as a standard type of supervised learning. Time series methods include both supervised approaches (e.g., predicting a numeric value with labeled past data) and unsupervised or specialized methods (e.g., decomposition, anomaly detection) depending on the task. So as a blanket category, it’s not typically listed alongside classic supervised learning types.

Option 2: Regression
- Regression is a classic supervised learning task where the goal is to predict a continuous target variable from input features. It clearly falls under supervised learning because you learn from labeled examples with numeric targets. This option is correct in the context of standard supervised learning definitions.

Option 3: Logistic regression
- Logistic regression is another fundamental supervised learning method, used for binary (and sometimes multi-class) classification. Even though the name includes 'regression', it is specifically tailored for predicting discrete class labels, which is the hallmark of supervised learning. This option is correct.

Option 4: Clustering
- Clustering is a quintessential unsupervised learning technique where the goal is to group similar data points without using labeled targets. Since there are no ground-truth labels guiding the learning in clustering, this option is not a supervised learning problem.

Summary context:
- Regression and Logistic regression are textbook examples of supervised learning, because they rely on labeled targets to learn mappings from inputs to outputs.
- Time series analysis and Clustering do not fit the standard categorical definition of supervised learning in this question’s framing, with Time series sometimes overlapping into supervised tasks but not universally classified as a supervised learning type, and Clustering being unsupervised by design.

Which are types of supervised learning problems? (Select all that apply)

查看解析

登录即可查看完整答案

类似问题

机器学习中最常见的类别是什么？What is the most common category of machine learning?

The induction of decision trees is an example of ______________ learning.

The linear prediction model is an example of:

更多留学生实用工具

考试浏览器助手

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