As an ML newbie, I have a question. I have a set of data with 2 inputs and 1 output. I'm trying to predict the output.
input1 is an integer number, input2 is like a category between 1-5. Output is also a number.
input1=25 input2=2 output=25 input1=34 input2=2 output=35 input1=12 input2=5 output=29 input1=3 input2=4 output=48 input1=45 input2=1 output=36
With this data, I want to predict the output for input1=27 and input2=2
I have a small set of data (10-20 items). I wonder which ML algorithm should I learn for this kind of multiple inputs and single output small sets of data?
With a high probability, while calculating the output, there is a mathematical relation between input1 and input2 like:
output = (input1)*x + (input2)*y (x and y is unknown of course and the equation can be linear or logarithmic or something else. No idea.)