overfit model
过拟合模型
avoid overfitting
避免过拟合
overfitting data
过拟合数据
overfitted features
过拟合特征
prevent overfitting
防止过拟合
checking for overfitting
检查过拟合
easily overfit
容易过拟合
overfitting risk
过拟合风险
model overfits
模型过拟合
overfit prevention
过拟合预防
the model started to overfit the training data, losing its ability to generalize.
模型开始过度拟合训练数据，失去了泛化的能力。
we need to prevent the neural network from overfitting by using regularization techniques.
我们需要使用正则化技术来防止神经网络过度拟合。
overfitting is a common problem when training complex machine learning models.
过度拟合是训练复杂机器学习模型时的一个常见问题。
to avoid overfitting, we split the data into training, validation, and testing sets.
为了避免过度拟合，我们将数据分成训练集、验证集和测试集。
the decision tree overfit the data, creating a very complex and specific structure.
决策树过度拟合了数据，创建了一个非常复杂和特定的结构。
cross-validation helps identify if a model is likely to overfit the data.
交叉验证有助于确定模型是否可能过度拟合数据。
early stopping is a technique used to prevent overfitting during training.
提前停止是一种用于防止训练期间过度拟合的技术。
regularization can help reduce the risk of overfitting in linear regression models.
正则化有助于减少线性回归模型中过度拟合的风险。
the model's performance on the test set was significantly worse, indicating overfitting.
模型在测试集上的表现明显更差，表明存在过度拟合。
we used dropout layers to mitigate the risk of overfitting in our deep learning model.
我们使用了 dropout 层来减轻深度学习模型中过度拟合的风险。
careful feature selection can help prevent the model from overfitting.
仔细选择特征可以帮助防止模型过度拟合。
overfit model
过拟合模型
avoid overfitting
避免过拟合
overfitting data
过拟合数据
overfitted features
过拟合特征
prevent overfitting
防止过拟合
checking for overfitting
检查过拟合
easily overfit
容易过拟合
overfitting risk
过拟合风险
model overfits
模型过拟合
overfit prevention
过拟合预防
the model started to overfit the training data, losing its ability to generalize.
模型开始过度拟合训练数据，失去了泛化的能力。
we need to prevent the neural network from overfitting by using regularization techniques.
我们需要使用正则化技术来防止神经网络过度拟合。
overfitting is a common problem when training complex machine learning models.
过度拟合是训练复杂机器学习模型时的一个常见问题。
to avoid overfitting, we split the data into training, validation, and testing sets.
为了避免过度拟合，我们将数据分成训练集、验证集和测试集。
the decision tree overfit the data, creating a very complex and specific structure.
决策树过度拟合了数据，创建了一个非常复杂和特定的结构。
cross-validation helps identify if a model is likely to overfit the data.
交叉验证有助于确定模型是否可能过度拟合数据。
early stopping is a technique used to prevent overfitting during training.
提前停止是一种用于防止训练期间过度拟合的技术。
regularization can help reduce the risk of overfitting in linear regression models.
正则化有助于减少线性回归模型中过度拟合的风险。
the model's performance on the test set was significantly worse, indicating overfitting.
模型在测试集上的表现明显更差，表明存在过度拟合。
we used dropout layers to mitigate the risk of overfitting in our deep learning model.
我们使用了 dropout 层来减轻深度学习模型中过度拟合的风险。
careful feature selection can help prevent the model from overfitting.
仔细选择特征可以帮助防止模型过度拟合。
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