What is the simple meaning of overfitting?

A. model training data को बहुत ज्यादा याद कर लेता है / Model memorizes training data too much

Step 1: Identify the concept: this is an ML problem. Step 2: In overfitting a model works well on training examples but poorly on new data. Step 3: Remember overfitting means memorizing not learning well.

Step 1: concept पहचानें: यह ML problem है। Step 2: Overfitting में model training examples पर अच्छा पर new data पर poor काम कर सकता है। Step 3: Overfitting means memorizing not learning well याद रखें।