underfitted

[美國]/ˌʌndəˈfɪtɪd/
[英國]/ˌʌndərˈfɪtɪd/

中文釋義

adj.(機器學習)一種偏差高而方差低的模型,無法捕捉數據的潛在模式;(統計學)一種過於簡單的統計模型,無法充分表現變量之間的真實關係。

短語搭配

underfitted model

欠擬合模型

severely underfitted

嚴重欠擬合

underfitted algorithm

欠擬合演算法

例句

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

欠擬合的模型未能捕捉數據的複雜性。

an underfitted neural network produces poor predictions on training data.

欠擬合的神經網絡在訓練數據上產生的預測效果不佳。

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

該算法存在欠擬合問題,需要更多特徵才能有效學習。

we detected an underfitted regression model during the evaluation phase.

在評估階段,我們檢測到一個欠擬合的回歸模型。

the underfitted classifier showed high bias and low accuracy.

欠擬合的分類器表現出高偏差和低準確率。

machine learning engineers avoid underfitted models by proper feature engineering.

機器學習工程師通過適當的特徵工程來避免欠擬合模型。

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

欠擬合的支援向量機在區分數據集中的類別時遇到困難。

underfitted decision trees tend to oversimplify the underlying patterns.

欠擬合的決策樹傾向於過度簡化底層模式。

our underfitted clustering algorithm failed to identify meaningful groups.

我們的欠擬合聚類算法未能識別出有意義的群組。

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

在交叉驗證期間,欠擬合模型顯示出欠擬合的跡象。

developers must tune hyperparameters to prevent underfitted solutions.

開發人員必須調整超參數以防止出現欠擬合的解決方案。

the underfitted ensemble method underperformed compared to single models.

與單一模型相比,欠擬合的集成方法表現較差。

an underfitted bayesian network cannot capture the probabilistic relationships.

欠擬合的貝葉斯網絡無法捕捉概率關係。

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