Across
- 3. A Python module integrating a wide range of machine learning algorithms.
- 5. The rate of change in the dependent variable with respect to the independent variable.
- 6. The terminal nodes of a decision tree that contain the output.
- 9. The process of teaching a model to make predictions.
- 10. The output variable used in supervised learning.
- 11. A mathematical representation of a real-world process.
- 12. A library used for data manipulation and analysis.
- 13. Refers to two possible outcomes in a logistic regression model.
- 15. A Python library used for working with arrays.
- 17. A measure of randomness used in decision tree algorithms.
- 19. A point in a decision tree where the data is split.
Down
- 1. The process of predicting the class of given data points.
- 2. When a model performs well on training data but poorly on new data.
- 4. The difference between the observed value and the predicted value.
- 5. A function used to map predictions to probabilities.
- 7. An individual measurable property or characteristic of a phenomenon.
- 8. A set of rules or steps used to solve a problem.
- 10. A collection of functions and methods that allows you to perform many actions.
- 14. A type of problem where the output variable is a real number.
- 16. The point where the regression line crosses the y-axis.
- 18. The likelihood of an event occurring compared to it not occurring.