Can't the training set provide data to how the curve seems to be rising (the change in value y for every corresponding change in value x)? And this change is carried forward to all future values of x to go with the trend and obtain the predicted results?
Thinking out loud with me intuition here. Is there is any model that resembles the above logic?
I have a dataset of two column values something like the one shown below. I need to predict the values of y for values of x greater than 60. The curve must follow the increasing trend it is shown till x=60.
I have tried polynomial regression and SVR but it declines for values greater than 60. I have tried to fit the curve y = alnx + b to this curve but the R2score is 0.94. What model can I train for this purpose, or how can I improve the R2score but regressing over an appropriate logarithmic function?
Can't the training set provide data to how the curve seems to be rising (the change in value y for every corresponding change in value x)? And this change is carried forward to all future values of x to go with the trend and obtain the predicted results?
Thinking out loud with me intuition here. Is there is any model that resembles the above logic?