What Is a Black Box Model? Definition, Uses, and Examples - Investopedia
2024年4月2日 · A black box model designed for use in the financial markets is a software program that analyses market data and produces a strategy for buying and selling based upon that analysis.
Black box - Wikipedia
In systems theory, the black box is an abstraction representing a class of concrete open system which can be viewed solely in terms of its stimuli inputs and output reactions: The constitution and structure of the box are altogether irrelevant to the approach under consideration, which is purely external or phenomenological.
【论文学习】Interpreting Black‑Box Models: A ... - CSDN博客
2024年9月2日 · 黑盒模型是指其是不透明系统运行的机器学习模型，同时其模型内部的工作原理不易访问或理解。 这类模型基于输入数据提供预测结果，然而其决策背后的过程和原因对使用者来说是不透明的。 透明性的缺乏使得其对于用户来说存在诸多问题： 1、用户很难理解模型的行为； 2、较难检测发掘潜在的偏差和错误； 3、模型不易解释其决策的依据。 可解释能力可以作为人类理解或预见机器学习模型预测结果的一种程度。 Tjoa et al. [1] 等人将可解释能力分为两类. 1 …
机器学习的可解释性：黑盒vs白盒（内附开源学习书） | Deep …
在选择一个合适的机器学习模型时，通常需要我们权衡模型准确性与可解释性之间的关系： 黑盒模型 (black-box)： 诸如神经网络、梯度增强模型或复杂的集成模型此类的黑盒模型 (black-box model) 通常具有很高的准确性。 然而，这些模型的内部工作机制却难以理解，也无法估计每个特征对模型预测结果的重要性，更不能理解不同特征之间的相互作用关系。 白盒模型 (white-box)： 另一方面，像线性回归和决策树之类的简单模型的预测能力通常是有限的，且无法对数据集内 …
机器学习的可解释性：黑盒vs白盒（内附开源学习书） | Deep …
2019年3月30日 · 在选择一个合适的机器学习模型时，通常需要我们权衡模型准确性与可解释性之间的关系： 黑盒模型 (black-box)：诸如神经网络、梯度增强模型或复杂的集成模型此类的黑盒模型 (black-box model) 通常具有很高的准确性。 然而，这些模型的内部工作机制却难以理解，也无法估计每个特征对模型预测结果的重要性，更不能理解不同特征之间的相互作用关系。 白盒模型 (white-box)：另一方面，像线性回归和决策树之类的简单模型的预测能力通常是有限的，且无 …
What Is Black Box AI and How Does It Work? | IBM
2024年10月29日 · What is black box artificial intelligence (AI)? A black box AI is an AI system whose internal workings are a mystery to its users. Users can see the system’s inputs and outputs, but they can’t see what happens within the AI tool to produce those outputs. Consider a black box model that evaluates job candidates’ resumes.
Understanding the AI Black Box – What It Is, Why It’s Used, and …
2024年9月28日 · In AI and machine learning, a “black box” refers to a system, model, or algorithm that makes decisions or predictions without providing insight into how those decisions are made. While these models can deliver highly accurate results, their internal processes are often too complex or opaque for humans to interpret or understand.
Black-Box Model - an overview | ScienceDirect Topics
Black-box models are systems that are viewed in terms of their inputs and outputs without any knowledge of their internal mechanism. You might find these chapters and articles relevant to this topic. Black-box models are statistical or machine learning models in which the model parameters convey no physical meaning [7].
Interpreting Black-Box Models: A Review on Explainable Artificial ...
2023年8月24日 · A black-box model in XAI refers to a machine learning model that operates as an opaque system where the internal workings of the model are not easily accessible or interpretable. These models make predictions based on input data, but the decision-making process and reasoning behind the predictions are not transparent to the user [ 31 ].
What is Black Box AI? - GeeksforGeeks
5 天之前 · Characteristics of Black Box AI 1. Opacity. Black Box AI systems show users the input and output but conceal their internal workings. For example, in applications like medical diagnostics or credit scoring, these systems provide predictions or decisions without explaining the specific factors or calculations that influenced the result.