Overfitting in machine learning means the model:
- Performs well on training but poorly on new data
- Cannot be trained
- Performs poorly on training data
- Has too little data
Explanation
Overfitting
means the model memorizes training data but generalizes poorly to new data.
Related MCQs
- Unsupervised Learning
- Deep Learning
- Supervised Learning
- Reinforcement Learning
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