这能够提高可解释性并减少偏差。
相对于其它建模方法而言，得到的模型具有可解释性。
Compared to other modeling methods, the model has to be explanatory.
其次，作为制笑机制，不和谐性需具备高度的可解释性和欣赏性。
Secondly, incongruity is defined as possess the characteristic of highly interpretability and enjoyability.
由于考试结果通常用分数来表示，因此考试的分数必须具有可解释性。
As test results are usually reported in the form of test scores, they must be interpretable, which involves the use of a certain scoring system.
该算法综合了决策树方法和贝叶斯方法的优点，既有良好的可解释性，又有良好的增量学习能力。
The new algorithm combines the merit of decision tree induction method and naive Bayesian method. It retains the good interpretability of decision tree and has good incremental learning ability.
实际应用中对这些算法进行取舍时，可以从准确度、速度、伸缩性、强壮性和可解释性等几个方面来评价。
Classification methods can be compared and evaluated according to the following criteria: predictive accuracy, speed, scalability, robustness and interpretability.
本文针对模糊建模过程中，系统的可解释性得不到保证的问题，提出一种基于模糊聚类的可解释性建模方法。
Research on the interpretability has not got enough attention. This paper proposes a method of interpretable modeling based on fuzzy clustering in order to improve the interpretability of fuzzy model.
由于对油气井和地层参数估计困难，设计目标与实施结果可能存在较大的差异，导致测试资料的可解释性差。
Because it is difficulty for estimating parameters of well and formation., it is different between design goal of well testing and results of test and results in interpretation error of data.
UD-SVR预测精度高、指导性强、可解释性好、优化高效，有望在多因素多水平配方优化中得到广泛应用。
UD-SVR is more efficient than the reference models and has the potential to be widely used for experimental design and analysis of the prescription optimization.
新模糊分类系统具有以下优点：(1)可解释性好，(2)有效的特征压缩，(3)与传统方法相当的识别精度。
The new fuzzy classification system has some advantages as follows: (1) good interpretability, (2) efficient feature compression, (3) comparative accuracy to the traditional methods.
“内容与形式的统一”包含两个否定性论题：一个是内容与形式的“不可分性”，一个是艺术的“不可解释性”。
'The unity of form and content' consists of two negative theses: the inseparability of form and content and the no-paraphrase of Art.
然而，在多元线性分析方法中，当求解因变量对自变量的回归时，得到的组合系数往往均不为零，因此这种回归模型的主要缺点是缺乏可解释性。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
然而，在多元线性分析方法中，当求解因变量对自变量的回归时，得到的组合系数往往均不为零，因此这种回归模型的主要缺点是缺乏可解释性。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
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