Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
absolute difference between the predicted and actual values, giving equal weight to all errors. R2 measures the proportion of the variance in the target variable that is explained by the model, while explained variance measures the variance in the target variable that is explained by the model