Model Performance Comparison
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Top Performing Model
Linear Regression
Model Performance Metrics
| Model | NMAE | NRMSE | MAPE | Accuracy |
|---|---|---|---|---|
| ARIMA | 0.0014 | 0.0026 | 0.14% | 99.9% |
| LINEAR_REGRESSION | 0.0014 | 0.0022 | 0.14% | 99.9% |
| LSTM | 0.0115 | 0.0149 | 1.12% | 98.9% |
| RNN | 0.0022 | 0.0034 | 0.21% | 99.8% |
Pro-Tip: Accuracy is calculated based on (1 - Mean Absolute Percentage Error) over historical predictions.
Training History (MLflow Tracking)
| Training Time (IST) ⓘ | Run Name | Model Type | RMSE | Accuracy | Status |
|---|---|---|---|---|---|
| 14 Mar 2026, 02:32 AM | RNN | RNN | 557.938982 |
99.4%
|
FINISHED
|
| 14 Mar 2026, 02:31 AM | LSTM | LSTM | 817.953115 |
99.1%
|
FINISHED
|
| 14 Mar 2026, 02:31 AM | LinearRegression | Linear Regression | 471.567173 |
99.5%
|
FINISHED
|
| 14 Mar 2026, 02:31 AM | ARIMA | ARIMA | 3698.779031 |
95.7%
|
FINISHED
|