akshatshaw
/

frontlstm-baseflow-cluster0

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FrontLSTM Baseflow Prediction Model - Cluster 0

This model predicts baseflow using a FrontLSTM architecture that combines static and dynamic features.

Model Architecture

Type: FrontLSTM
Static Features: 19
Dynamic Features: 40
Hidden Size: 64
Layers: 2

Performance

RMSE: 473.0073
MAE: 143.6522
R² Score: 0.4109

Files

model.pth: Model state dict
config.json: Model configuration and feature lists

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