Best non linear regression algorithms

1. What are the non linear algorithms?
2. Which algorithm is best for regression?
3. Can regression be used for non linear?
4. Which model is best for non linear data?

What are the non linear algorithms?

Five nonlinear algorithms: Classification and Regression Trees, Naive Bayes, K-Nearest Neighbors, Learning Vector Quantization and Support Vector Machines.

Which algorithm is best for regression?

The best known estimation method of linear regression is the least squares method.

Can regression be used for non linear?

Overall, a nonlinear regression model is used to accommodate different mean functions, even though it is less flexible than a linear regression model. Some of its advantages include predictability, parsimony, and interpretability. Financial forecasting is one way that a nonlinear regression can be applied.

Which model is best for non linear data?

The logistic regression model would be the best choice for the nonlinear model with one dependent and several independent variables.