[null,null,["上次更新時間：2024-11-14 (世界標準時間)。"],[[["Machine learning models should be tested against a separate dataset, called the test set, to ensure accurate predictions on unseen data."],["It's recommended to split the dataset into three subsets: training, validation, and test sets, with the validation set used for initial testing during training and the test set used for final evaluation."],["The validation and test sets can \"wear out\" with repeated use, requiring fresh data to maintain reliable evaluation results."],["A good test set is statistically significant, representative of the dataset and real-world data, and contains no duplicates from the training set."],["It's crucial to address discrepancies between the dataset used for training and testing and the real-world data the model will encounter to achieve satisfactory real-world performance."]]],[]]
