Answer / Indresh Kumar

An imbalanced dataset is one where one class has significantly more instances than another, leading to poor model performance on the minority class. To address this issue, techniques such as oversampling (SMOTE), undersampling, and cost-sensitive learning can be employed to balance the data or adjust the learning process accordingly.

What is class-imbalanced dataset in machine learning?

1 Answers  

---

What are the most common types of machine learning task?

1 Answers  

---

What is the difference between inductive and deductive learning?

1 Answers  

---

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

1 Answers  

---

Explain how do classification and regression differ?

1 Answers  

---

How will you set the threshold for credit card fraud detection model?

1 Answers  

---

Tell us how do classification and regression differ?

1 Answers  

---

What do you understand by ilp?

1 Answers  

---

What is classifier in machine learning?

1 Answers  

---

What is sequence learning?

1 Answers  

---

What is a boltzmann machine?

1 Answers  

---

What kind of problems lend themselves to machine learning?

1 Answers  

---