akshatshaw
/

frontlstm-baseflow-cluster1

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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: 49
Dynamic Features: 18
Hidden Size: 512
Layers: 2

Performance

RMSE: 361.0433
MAE: 100.7589
R² Score: 0.6568

Files

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

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