2028 County Prediction
Running 4 models — Random Forest, Logistic Regression, SVM, Gradient Boosting…
First request after idle may take up to 60s on the free tier.
Wisdom Analysis
Explore in Google Colab — free, no install required
✅ Dataset Quality Score
Validates prediction_pres_data.csv against the Wisdom Formula dimensions
using the SysWisdom Data Quality API.
The API key stays on the server — it is never exposed to your browser.
🗺️ 2028 Electoral College Projection
Runs the global Random Forest model over all 1,956 counties, aggregates projected county winners to state level, then maps to Electoral College votes. 270 electoral votes needed to win. Historical data only — not a forecast.
About this project
County-level election records 2004–2024. No PII. No voter targeting.
Random Forest · Logistic Regression · SVM · Gradient Boosting with SMOTE balancing
Educational research only. Not for use in campaigns or political advertising.
Data sources: 39 hand-curated counties (Tier 1, includes registration + mail-in data) combined with MEDSL / Harvard Dataverse presidential returns (Tier 2, CC BY 4.0) for 1,956 counties total. The original 39 counties were selected pragmatically for Wisdom Formula validation — not as a statistically representative sample. The global model now draws on cross-county patterns from all 1,956 counties. See full methodology →