What is pruning in a decision tree?
- 1 Answers
- 105 Views
- I also Faced
- E-Mail Answers
Answer / Vasco Dwivedi
Pruning in a decision tree is the process of removing subtrees that provide little information gain or contribute minimally to the overall accuracy of the model. It helps to prevent overfitting and improve the generalization performance of the decision tree.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is tensorboard ?
What do you understand by deep speech?
List some products that are built using tensorflow.
What is the difference between tf.variable and tf.placeholder?
What is the possibility of evaluating a logistic regression model for a user?
Can I run tensorboard without tensorflow?
What are the different dashboards in tensorflow?
What is means by tensorflow?
How can you implement LSTM network in tensorflow ?
Explain how useful and reliable bayes’ theorem is according to you in the machine learning context?
What is embedding projector?
What is latest Version of Tensorflow ?
-
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)
