Machine Learning MCQ 4: What does overfitting mean in machine learning? #mcq #machinelearning #quiz

🕒 Quiz time!

Machine Learning MCQ 4: What does overfitting mean in machine learning?
A. Model performs well on test data but poorly on training data
B. Model performs poorly on both training and test data
C. Model memorizes the training data and fails to generalize
D. Model uses less data to make predictions

✅ Correct Answer: C Model memorizes the training data and fails to generalize.

Explanation:
Overfitting happens when a model learns the training data too well, including noise, and fails to perform well on unseen data.

🎬 Outro:
"If you're prepping for interviews, don't forget to subscribe for daily ML questions. Got a question? Drop it in the comments!"

🎓 Enjoyed the question?
🔥 Subscribe to the channel for more daily Machine Learning interview questions, AI tips, and quick explainer videos!
👍 Like the video if you found it helpful
💬 Comment your answer or doubts below – I reply to everyone!
🔔 Don’t forget to hit the bell icon so you never miss a short ML lesson!
🚀 Follow Me for More Updates:
🔗 LinkedIn – https://www.linkedin.com/in/aniketbakre/
🔗 YouTube – https://www.youtube.com/@TechBitsWithAniket
🔗 Medium – https://medium.com/@aniketbakre1291

📌 Learn one concept a day to boost your ML interview prep.
Follow me for more such short and effective Machine Learning questions.

🙏 Thank you! Please like, share, and subscribe to my video channel — TechBits with Aniket.

Видео Machine Learning MCQ 4: What does overfitting mean in machine learning? #mcq #machinelearning #quiz канала TechBits with Aniket