generalization
「generalization」的意思
n. （依据不足的）概括，泛论（=generalisation）
n.一般化,普遍化,概括,广义性
「generalization」的用法
generalization泛化 - 在机器学习中，泛化是指模型能够从训练数据中学习到一般的规律，而不是仅仅记住训练数据中的具体例子。
「generalization」的例句
The concept of generalization is crucial in machine learning.
泛化的概念在机器学习中至关重要。
Generalization helps a model perform well on unseen data.
泛化有助于模型在未见过的数据上表现良好。
Understanding generalization is key to improving model performance.
理解泛化是提高模型性能的关键。
A good model should generalize well to new, unseen data.
一个好的模型应该在新的、未见过的数据上表现良好。
Generalization ability is often evaluated using cross-validation techniques.
泛化能力通常通过交叉验证技术进行评估。
Overfitting occurs when a model learns the noise in the training data instead of the underlying pattern.
过拟合发生在模型学习训练数据中的噪声而不是基本模式时。
Regularization techniques are used to improve generalization by penalizing overly complex models.
正则化技术通过惩罚过于复杂的模型来提高泛化能力。
Generalization is an important aspect of designing robust machine learning algorithms.
泛化是设计稳健的机器学习算法的重要方面。
By understanding and addressing generalization, we can build more effective and reliable models.
通过理解和解决泛化问题，我们可以构建更有效和可靠的模型。