2022 Election Predictions

Machine Learning Predicts Election
DU Bootcamp Final Project

Welcome to the 2022 Election Predictive Analysis! For better or for worse, this websites reveals what is possibly in store for us at the end of this year’s election cycle. Included are Congressional seats open for election and re-election. Results are completely unbiased and chosen by our machine learning model. It was trained with 26 years of data from past elections (1990-2016), provided by Open Secrets, using features such as party, incumbency, and all funding sources. The model is Random Forest Classifier and passed with a whopping 93% accuracy score. New data, from the Federal Election Commision, for the 2022 cycle was then fed into the model and results were generated. Please use the filters on the left hand side of the page to identify the winners. "2022 Candidate Dashboard" is linked to filters. See "Past Data" Dashboard for further analysis on past data. Visit GitHub to catch project details. Predictions are as follows:

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2022 Candidate Dashboard
Candidate State Office Party CRPICO Raised_From_Pacs Raised_From_Individuals Raised_Total Raised_Unitemized Prediction