- Regression
- Regression helps in establishing a relationship between a dependent variable and one or more independent variables
- Regression refers to predictive modelling problems that involved predicting a numeric value, given an input
- E.g. application rate of fertiliser
- Regression is a statistical measure used to make predictions from data by finding relationships between input and output data
- Regression is a method of dealing with linear dependancies (e.g. weather prediction)
- If your data will have some nonlinear dependencies, neural networks should perform better than regression
- Regression basically provides a simplistic network
- Classification
- This is in contrast to classification models, that predict a class label, or probability of a class label for a given input
- E.g. Is a picture a cat or dog