Height Prediction Using Basic Data

I used basic data sets to see if some learning models have a chance of predicting height based on country and age.

With the use of an accurate height prediction, doctors understand a patient better by seeing if they are under or above their predicted height. I used basic data sets to see if some learning models have a chance of predicting height based on country and age. Decision tree regressor, Linear regression, and random forest regressions were successful models that I used. The AI prediction varied between a miss of 40cm all the way to 100 cm throughout all models. But After hyper tunneling the model, it got to a closely stable average of 17 cm off the real height. Although being off 17 cm is not respectable in the Medical World, this may prove that with higher ends of data, height prediction may be applicable to medical use.

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