Interested to Buy Any Domain ? << Click Here >> for more details...
Tell us what is decision tree classification?
- 1 Answers
- 205 Views
- I also Faced
- E-Mail Answers
Answer / Asha Verma
Decision tree classification is a popular machine learning algorithm used for classification tasks. It works by recursively partitioning the input space into smaller regions (nodes) based on the values of features, with each region corresponding to a class label. The decision tree is built by selecting the feature and threshold value that offer the best split at each step, often using criteria such as information gain or Gini impurity to guide the selection process.
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you mean by Inductive Logic Programming (ILP)?
What is PCA, KPCA and ICA used for?
What is ROC curve and what does it represent?
What is boosting in Machine Learning?
What is stratified cross-validation and when should we use it?
Which Python library is used for machine learning?
Tell us how do you handle missing or corrupted data in a dataset?
What is the trade-off between bias and variance?
What is the difference between inductive machine learning and deductive machine learning?
What is the batch in machine learning?
What is Bayes theorem in artificial intelligence?
Tell me how is knn different from k-means clustering?
-
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)
