Which machine learning technique could be for training on a vector of inputs from 0 to 1 to a target …

Which machine learning technique could be for training on a vector of inputs from 0 to 1 to a target output ranging from 0 to 100? I have a matrix where each row is a vector of numbers from 0 to 1 and each column corresponds to a predictor. I have a separate column vector where each row value corresponds to the target value of the observation from the row in the aforementioned matrix. e.g. observations = [.2 .6 .3 .7 .1; .1 .2 .6 .9 .5; etc] targets = [35.9; 57.1; etc] I’ve tried a polynomial and sigmoid fit for the data but they don’t fit well so I wanted to try a machine learning approach. I originally wanted SVM but found that can’t be used for non-binary target…


Link to Full Article: Which machine learning technique could be for training on a vector of inputs from 0 to 1 to a target …

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!