Hi,

We know that the training features are determined as a function of temp.

If the machine learning algorithm is applied for each column separately, it will use the correct information for the case where the label is “1” and the others are “0”. if another column has “1”, it will not use the correct function. It uses the function of two compounds. Machine learning algorithm uses the knowledge of two columns for a one label.

If we are going to apply each column separately to the machine learning algorithm, we need to get cases where only one column is “1” and the others are “0”.

After obtaining these compounds separately, we still have not reached the correct function for every compound. We need to get the difference between the correct function and the reference point (case of all ten zeros).

Onur Koç.