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

  • DatYungChebyshev420@alien.top
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    1 year ago

    Your problem begs for smoothing splines.

    for a continuous univariate relationship -you literally cannot do better than smoothing splines.

    no function will ever, EVER provide a better fit to your data than a smoothing spline. Some cool theory is behind this.