Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
Forecast | 2733.14 | 0.1739 | | Naïve with Drift Forecast | 4586.45 | 0.1971 | | Seasonal Avg. Forecast | 3398.40 | 0.1740 | In summary, we evaluated the performance of different forecasting models using both MSE and RMSLE metrics. The Seasonal Naïve Forecast stands out as the most accurate model,