用于分类和回归的自动机器学习:心理学家的教程
Chaewon Lee1, Kathleen M Gates2
1Department of Psychology and Neuroscience, L.L.Thurstone Psychometric Laboratory, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Chapel Hill, NC, USA. chaewon.lee@unc.edu.
Behavior research methods
|August 18, 2025
概括
自动机器学习 (AutoML) 简化了心理学家的复杂数据分析,增强了心理健康诊断和行为预测. 本教程介绍了AutoML和可解释AI (XAI),以使先进的机器学习可用于心理学研究.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 机器学习 (ML) 在心理学中提供数据驱动的洞察力,但由于复杂性和缺乏标准化,它面临采用障碍.
- 机器学习的"黑子"性质阻碍了对变量影响的理解,限制了其在心理学研究中的应用.
- 自动化ML (AutoML) 和可解释AI (XAI) 可以通过自动化流程和提高透明度来应对这些挑战.
研究的目的:
- 向心理学家介绍自动化ML (AutoML) 和可解释AI (XAI),弥合教育资源的差距.
- 用"H2O AutoML" R包在心理学研究中展示AutoML的实际应用.
- 为不支持的ML技术提供先进的AutoML方法和解决方案的指导.
主要方法:
- 该研究涵盖了先进的AutoML技术,包括组合算法选择和超参数优化 (CASH) 和堆叠组合泛化.
- 使用"H2O AutoML" R包进行心理数据集的实践演示.
- 在多个个体的横截面数据上应用回归和在单个个体的时间序列数据上进行分类.
主要成果:
- 自动ML简化了ML工作流程,使不同技术专长的研究人员能够使用先进的方法.
- 在心理数据分析中的回归和分类任务中证明了AutoML的成功应用.
- 为实施"H2O AutoML"包直接不支持的ML方法提供了实际解决方案.
结论:
- 自动ML民主化了用于心理学研究的先进机器学习,增强了数据分析能力.
- 自动ML和XAI使心理学家能够利用复杂的数据集来改进预测和发现.
- 这项工作有助于采用强大的机器学习工具,推进心理学科学领域.
更多相关视频
09:13A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
Published on: May 3, 2012
14.5K
09:34A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
4.1K
相关概念视频
01:20Introduction to Cognitive Psychology
805
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
805
01:18Introduction to Learning
530
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
530
01:26Classification of Systems-I
296
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
296
01:52Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
01:11Regression Analysis
6.0K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.0K
01:31Classification of Systems-II
240
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
240