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NTS GAT CS Subject Computer Science Machine Learning MCQs Test 2
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NTS GAT CS Subject Computer Science Machine Learning MCQs Test 2

Practice NTS GAT CS 2026 Subject Test Computer Science MCQs from Machine Learning. Get instant results with Explanation.
Practice Quiz 2 for "Machine Learning" (Computer Science). Total 27 MCQs available, split into 3 quizzes. Test your understanding of core concepts. Mastering these concepts is essential for securing a high percentile in NTS GAT CS.
General10 MCQs
1. What does the kernel trick enable SVM to handle?
2. What is overfitting?
3. What is underfitting?
4. What does the bias-variance trade-off balance?
5. What is a high-bias model?
General10 MCQs
6. What is a high-variance model?
7. What does gradient descent do?
8. What is SGD?
9. What does feature scaling do?
10. What is PCA used for?

📋 NTS GAT CS - Test Online Practice Quizzes

NTS GAT Computer Science Subject Test

Conducting Body: National Testing Service (NTS)
Frequency: Quarterly | Time: 120 Minutes
Negative Marking: No

⚡ Test Pattern (Total: 100 MCQs):

Merit Formula: There is no single NTS merit calculation formula for NTS GAT Subject Test. Universities determine their own merit criteria. Common weightages include: 30% Academic + 50% GAT + 20% Interview (only where specified by the university)