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I am quite new to Alteryx and need some help in building a suitable predictive model.
My dataset has 1222 records (dataset included) In the data, my target variable is the Food Relief Amount in Column A. Other columns are predictor variables. Big question is to build a model that can predict the Food Relief Amount based on other predictor variables.
I have tried using linear regression model but the accuracy point is quite low.
You can try other models and use the model comparison tool (available on the Alteryx Analytics Gallery) to compare the effectiveness of the different models, see attached workflow example. Here i've tried Boosted model and Random Forest - neither appear to outperform linear regression.