What is regression in the context of Machine Learning?
- A method for classification
- A method for clustering
- A method for predicting a continuous output
- A method for text analysis
Regression in Machine Learning is a supervised learning technique used to predict a continuous output or numerical value based on input variables.
Loading...
Related Quiz
- ________ is a technique where during training, random subsets of neurons are ignored, helping to make the model more robust.
- How would you select the appropriate linkage method if the clusters in the data are known to have varying shapes and densities?
- You're comparing two Polynomial Regression models: one with a low degree and one with a high degree. The higher degree model fits the training data perfectly but has poor test performance. How do you interpret this, and what actions would you take?
- In which type of Machine Learning does the model learn from labeled data?
- What are the different types of pruning techniques, and how are they applied to a Decision Tree?