overfit

[美國]/ˌəʊvəˈfɪt/
[英國]/ˌoʊvərˈfɪt/
詞頻: 非常高

中文釋義

v. 過度擬合模型以適應有限的數據集;過度適應或迎合。

短語搭配

overfit model

過擬合模型

avoid overfitting

避免過擬合

overfitting data

過擬合數據

overfitted features

過擬合特徵

prevent overfitting

防止過擬合

checking for overfitting

檢查過擬合

easily overfit

容易過擬合

overfitting risk

過擬合風險

model overfits

模型過擬合

overfit prevention

過擬合預防

例句

the model started to overfit the training data, losing its ability to generalize.

模型開始過擬合訓練數據,失去了泛化能力。

we need to prevent the neural network from overfitting by using regularization techniques.

我們需要使用正則化技術來防止神經網絡過擬合。

overfitting is a common problem when training complex machine learning models.

過擬合是在訓練複雜的機器學習模型時常見的問題。

to avoid overfitting, we split the data into training, validation, and testing sets.

為了避免過擬合,我們將數據分為訓練集、驗證集和測試集。

the decision tree overfit the data, creating a very complex and specific structure.

決策樹對數據過擬合,產生了非常複雜且具體的結構。

cross-validation helps identify if a model is likely to overfit the data.

交叉驗證有助於識別模型是否可能對數據過擬合。

early stopping is a technique used to prevent overfitting during training.

提前停止是一種在訓練過程中用來防止過擬合的技術。

regularization can help reduce the risk of overfitting in linear regression models.

正則化有助於降低線性回歸模型過擬合的風險。

the model's performance on the test set was significantly worse, indicating overfitting.

模型在測試集上的表現明顯變差,這表明存在過擬合。

we used dropout layers to mitigate the risk of overfitting in our deep learning model.

我們使用了丟棄層來降低深度學習模型過擬合的風險。

careful feature selection can help prevent the model from overfitting.

仔細的特徵選擇有助於防止模型過擬合。

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