Answer / Lucky Tyagi

A decision tree can be pruned (reduced in size) to improve its predictive accuracy and prevent overfitting. Pruning involves removing branches or nodes that contribute little to the overall accuracy of the tree, usually by minimizing the cost function (such as cross-entropy for classification problems). Common methods for pruning include reduced error pruning, cost complexity pruning, and minimum description length pruning.

Give me an examples of nosql architecture?

1 Answers  

---

What is PAC Learning?

1 Answers  

---

Can you name some feature extraction techniques used for dimensionality reduction?

1 Answers  

---

What are the differences between machine learning and artificial intelligence?

1 Answers  

---

How do I become an expert in machine learning?

1 Answers  

---

Tell us how can we use your machine learning skills to generate revenue?

1 Answers  

---

What is the difference between data mining and machine learning?

1 Answers  

---

What is Test set in machine learning?

1 Answers  

---

Do I need to learn python for machine learning?

1 Answers  

---

Why is machine learning important?

1 Answers  

---

What Are The Steps Involved In Machine Learning Project?

1 Answers  

---

What is the convex function in machine learning?

1 Answers  

---