NuGene trained the forecasting bot on DEC’s historical data and then validated it with the data for 2019. It was able to deliver a 12% improvement in peak predictions compared to DEC’s existing methodology. It was also able to reduce unnecessary LC events by 5%. The model was able to deliver R2 (aka R-squared) scores of between 0.921 and 0.947. R2 measures how accurately the model is predicting reality. To put this in context, many advanced AI models manage scores of less than 0.9.
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