Hello how are you? I worked in a flow that allows us to see the price-demand elasticity of the products of the company where I work. Use two paths to have the option of two different models, the first was a logarithmic regression and the second was a random forest regression. The model that worked the best for my data set was the random forest regression, I am working with a history of units sold and prices from 2021 to date, however now the objective is for the model to predict how many units will be sold at the new price that I indicate and with this I can verify if that price would suit me or not. But I don’t know how to inform the model of that new price and using the random forest predictor to tell me the units that will be sold. These are my predictions and my r2 went very well, now I just need the step of adding a new price and having it predict the units that are going to be sold. Thank you for your help. [image]

Random Forest Regression Predict

mlauber71 November 30, 2023, 5:52am 9

@jose_giron there are a lot of good resources out there to learn about machine learning with knime

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