---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: time-series-forecasting
library_name: transformers
tags:
- lstm
- regression
- transformer
- inform_Severity_prediction
- crisis_prediction
---

The imputation and model pipelines for the INFORM Severity data. 
 
Ridge Regression with 88% accuracy(alpha=25 and 10-fold CV)

LightGBM with 99% accuracy (10 fold CV and reg_alpha: 1.96248962962756, reg_lambda: 4.688549449064171)

There is a 1 single pipeline for FeatureEngineering, Categorical encoding, Transformations and Imputations. 

We just need to deploy the final_pipelines for both the models stored in file: final_pipe.pkl