when a model performs well on training data but poorly on unseen data
当一个模型在训练数据上表现良好，但在未见过的数据上表现差 (dang yi ge mo xing zai xun lian shuju shang biao xian liang hao, dan zai wei jian guo de shuju shang biao xian cha)
"The model seems to be overfitting because it performs well on the training data but poorly on the test set."
"模型似乎在过拟合，因为它在训练数据上表现良好，但在测试集上表现差。" (Mo xing si hu zai guo ni he, yin wei ta zai xun lian shuju shang biao xian liang hao, dan zai ceshi ji shang biao xian cha.)
someone who appears harmless but is actually dangerous
a case that is easily decided or obvious
a small action that leads to progress towards a goal
keep silent about a secret
to make something level or balanced
to begin to take effect
