Interested to Buy Any Domain ? << Click Here >> for more details...
What do you understand by decision tree classification?
- 1 Answers
- 98 Views
- I also Faced
- E-Mail Answers
Answer / Prashant Shukla
Decision tree classification is a type of machine learning algorithm that makes decisions by constructing a tree where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node (terminal node) represents a class label. The tree is constructed to minimize impurity in the data.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is the difference between supervised and unsupervised machine learning?
What is sequence classification?
Why does overfitting happen?
How does naive bayes classifier work in machine learning?
How do you choose an algorithm for a classification problem?
What do you mean by finite automata?
What is the difference between an array and Linked list in Machine learning?
How do you control for biases?
How is ML different from artificial intelligence?
What are the various aspects of a machine learning process?
What is the F1 score?
What is the Applying the model in Machine Learning?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
