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5g-energy-prediction's Introduction

📦 Dashboard

This is a dashboard app created in Python using Streamlit.

Demo App

Streamlit App

LightGBM OOF score: 1.1085339928864313 CatBoost OOF score: 1.3423506083239856 Ensemble OOF score: 1.1881457156810498

to start the app you need to install all the dependencies that are in the requirements.txt and start the app by typing streamlit run streamlit_app.py to run the dashboard.

after running it upload the csv file that is to be predicted and you can get the predicted value csv in the dasboard. there you can plot multiple plots and you can customize the table as you want.

we tried multiple models for this database and selected the most accurate model for this project

the most accurate model is an ensemble model of two models that are LIGHTGBM and CatBoost

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