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[Discussion] What curve can I fit or what model can I train? (alien.top)

submitted 11 months ago by ninadsutrave@alien.top to c/machinelearning@academy.garden

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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?

https://preview.redd.it/f9oxc20zga2c1.png?width=1208&format=png&auto=webp&s=b7918c9d9dd2bb930a2e903483d5a230f2dcfce5

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[–] ninadsutrave@alien.top 1 points 11 months ago (1 children)

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?

[–] PM_ME_YOUR_BAYES@alien.top 1 points 11 months ago

That can be informative, but as I was saying, you have to limit the function space to those compatible with your hypothesis.

I repeat my question in a clearer way: do you know (or have a guess of) what the function would look like after x=60?

Since you mentioned the rate of change, have you ever plotted the numerical derivative of this function? Maybe it's shape has a recognizable shape that could help you in identifying the right class