cross-validation set
交叉驗證集
perform cross-validation
執行交叉驗證
cross-validation results
交叉驗證結果
using cross-validation
使用交叉驗證
cross-validation technique
交叉驗證技術
with cross-validation
使用交叉驗證
cross-validation error
交叉驗證誤差
doing cross-validation
進行交叉驗證
cross-validation score
交叉驗證得分
k-fold cross-validation
k折交叉驗證
we used k-fold cross-validation to evaluate the model's performance.
我們使用k折交叉驗證來評估模型的性能。
cross-validation helps prevent overfitting during model training.
交叉驗證有助於在模型訓練期間防止過擬合。
the results from cross-validation were highly consistent across different folds.
來自交叉驗證的結果在不同的摺疊中高度一致。
we performed stratified cross-validation to maintain class proportions.
我們進行了分層交叉驗證以保持類別比例。
cross-validation provides a more reliable estimate of generalization error.
交叉驗證提供了一個更可靠的泛化誤差估計。
leave-one-out cross-validation is useful for small datasets.
留一法交叉驗證對於小型數據集很有用。
we compared several algorithms using cross-validation as the evaluation metric.
我們使用交叉驗證作爲評估指標來比較幾種算法。
cross-validation is a crucial step in machine learning model selection.
交叉驗證是機器學習模型選擇中的關鍵步驟。
the cross-validation score was significantly higher than the baseline model.
交叉驗證得分明顯高於基線模型。
we implemented nested cross-validation for robust hyperparameter tuning.
我們實施了嵌套交叉驗證以進行穩健的超參數調整。
time-series data requires special considerations when using cross-validation.
使用交叉驗證時，時間序列數據需要特別的考慮。
cross-validation set
交叉驗證集
perform cross-validation
執行交叉驗證
cross-validation results
交叉驗證結果
using cross-validation
使用交叉驗證
cross-validation technique
交叉驗證技術
with cross-validation
使用交叉驗證
cross-validation error
交叉驗證誤差
doing cross-validation
進行交叉驗證
cross-validation score
交叉驗證得分
k-fold cross-validation
k折交叉驗證
we used k-fold cross-validation to evaluate the model's performance.
我們使用k折交叉驗證來評估模型的性能。
cross-validation helps prevent overfitting during model training.
交叉驗證有助於在模型訓練期間防止過擬合。
the results from cross-validation were highly consistent across different folds.
來自交叉驗證的結果在不同的摺疊中高度一致。
we performed stratified cross-validation to maintain class proportions.
我們進行了分層交叉驗證以保持類別比例。
cross-validation provides a more reliable estimate of generalization error.
交叉驗證提供了一個更可靠的泛化誤差估計。
leave-one-out cross-validation is useful for small datasets.
留一法交叉驗證對於小型數據集很有用。
we compared several algorithms using cross-validation as the evaluation metric.
我們使用交叉驗證作爲評估指標來比較幾種算法。
cross-validation is a crucial step in machine learning model selection.
交叉驗證是機器學習模型選擇中的關鍵步驟。
the cross-validation score was significantly higher than the baseline model.
交叉驗證得分明顯高於基線模型。
we implemented nested cross-validation for robust hyperparameter tuning.
我們實施了嵌套交叉驗證以進行穩健的超參數調整。
time-series data requires special considerations when using cross-validation.
使用交叉驗證時，時間序列數據需要特別的考慮。
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