Across
- 1. Process of teaching a model using data
- 4. Adjusting model settings to optimize performance
- 6. Collection of data used for training or testing models
- 7. Mathematical function used in clustering and classification
- 12. Ratio of true positives to predicted positives
- 13. Model that splits data based on feature values
- 15. Open-source deep learning framework by Google
- 17. Ratio of true positives to actual positives
- 18. Algorithm that finds the best boundary between classes
- 20. Python library for classical machine learning algorithms
- 23. Line that best represents data
- 26. Popular deep learning library developed by Facebook
- 27. Computational model inspired by the human brain
- 29. Subset of ML using neural networks with multiple layers
- 31. Table that describes model performance in classification
Down
- 2. Ensemble learning technique using multiple decision trees
- 3. Process of deriving useful information from raw data
- 5. Output generated by a machine learning model
- 8. Classification with two possible output categories
- 9. ML technique where agents learn by interacting with an environment
- 10. ML technique where the model learns from labeled data
- 11. Function that transforms data into a higher-dimensional space
- 14. ML technique for predicting continuous values
- 16. Probabilistic graphical model using Bayes' theorem
- 19. Grouping similar data points without labeled categories
- 21. Choosing the most relevant attributes for a model
- 22. Data point that differs significantly from others
- 24. True negative rate in classification problems
- 25. Process of removing errors and inconsistencies from data
- 28. Automated workflow for ML model development
- 30. Measure of how many predictions are correct