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Generalized additive models (GAMs) are regressions that estimate nonlinear patterns in data. This tag should not be used with the `glm` tag unless the question explicitly deals with comparison of the GAMs with GLMs.
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Predicting CSAT scores using GAM
I am trying to fit a GAM model to predict CSAT (customer satisfaction scores on a scale of 0 to 10) which I believe are ordinal in nature. I used a categorical predictor (type) and two numeric predict …
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Forecasting cash inflow using network load usage - timeseries vs GAM (or similar)
I have two datasets of daily cash_inflows & network consumption (load) for past 4 years. Network load consumption is the single source of income. There will be some lag between load consumption & the …