MATLAB: Ideas for a classifica​tion/regre​ssion problem.

classificationneural networksrandom forestsregression

Hi,
I have some data, like:
X: Car_Weigth, Car_type, Weather_type, Speed_Before_Accident, Drunk_Pilot_Status Y: 1, 2, 3, 4…….. 100 miles.
For me, this is a classification problem, easily solved by any classification method, like: 5 inputs for a neural and 100 outputs.
The doubt here, is that, I have 100 classes, and so, what kind of technique can i use to solve this kind of problem ?
any idea would be great.

Best Answer

You could start with linear regression. If you have the Statistics Toolbox, take a look at LinearModel. Or, if you have an old version of the toolbox, take a look at the regress function. If you don't have the Statistics Toolbox, try the backslash operator \.
For non-parametric regression, you could use decision trees, TreeBagger or fitensemble, all in the Statistics Toolbox. You could use the Neural Network toolbox too.