I am currently searching for a supervised learning algorithm that can be used to predict the output given a large enough training set.
Here's a simple example. Suppose the training dataset is {[A=1, B=330, C=1358.238902], result=234.244378}
and the test dataset {[A=893, B=34, C=293], result=?}
My intention is to predict ?
using the input values and result given in the training dataset.
What algorithm would be effective for this problem given the wide range of my input/output values? Would this require some sort of regression algorithm?