underfitted

[美]/ˌʌndəˈfɪtɪd/
[英]/ˌʌndərˈfɪtɪd/

释义

adj.(机器学习)一种偏差高、方差低的模型,无法捕捉数据的潜在模式;(统计学)一种过于简单的统计模型,无法充分表示变量之间的实际关系。

短语搭配

underfitted model

欠拟合模型

severely underfitted

严重欠拟合

underfitted algorithm

欠拟合算法

例句

the underfitted model failed to capture the complexity of the data.

欠拟合的模型未能捕捉数据的复杂性。

an underfitted neural network produces poor predictions on training data.

欠拟合的神经网络在训练数据上产生较差的预测结果。

the algorithm was underfitted and needed more features to learn effectively.

该算法存在欠拟合现象,需要更多特征才能有效学习。

we detected an underfitted regression model during the evaluation phase.

在评估阶段,我们检测到一个欠拟合的回归模型。

the underfitted classifier showed high bias and low accuracy.

欠拟合的分类器表现出高偏差和低准确性。

machine learning engineers avoid underfitted models by proper feature engineering.

机器学习工程师通过适当的特征工程来避免欠拟合模型。

the underfitted svm struggled to separate the classes in the dataset.

欠拟合的SVM在数据集的类别分离上遇到困难。

underfitted decision trees tend to oversimplify the underlying patterns.

欠拟合的决策树倾向于过度简化潜在的模式。

our underfitted clustering algorithm failed to identify meaningful groups.

我们欠拟合的聚类算法未能识别出有意义的群体。

the underfitted model showed signs of underfitting during cross-validation.

在交叉验证期间,欠拟合的模型表现出欠拟合的迹象。

developers must tune hyperparameters to prevent underfitted solutions.

开发人员必须调整超参数以防止出现欠拟合的解决方案。

the underfitted ensemble method underperformed compared to single models.

与单个模型相比,欠拟合的集成方法表现较差。

an underfitted bayesian network cannot capture the probabilistic relationships.

欠拟合的贝叶斯网络无法捕捉概率关系。

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