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.)
when the situation becomes very difficult or challenging
to do what is expected or promised, especially in difficult...
to suffer silently from jealousy or longing
to teach an AI system how to make predictions by feeding it...
to become very anxious, upset, or scared
a clever and intelligent person; someone with original ideas
