[P] Random Forest on ~100k Polymarket questions — 80% accuracy (text-only)
Reddit - Machine Learning
1 min read
Article
Summary
This article discusses the implementation of a Random Forest model trained on approximately 90,000 Polymarket questions, achieving an 80% accuracy rate on predictions.
Why It Matters
Understanding the effectiveness of machine learning models like Random Forest in predicting market outcomes can enhance decision-making in trading and forecasting. This study provides insights into feature selection and model performance, relevant for data scientists and traders alike.
Key Takeaways
- Random Forest model achieved 80% accuracy on Polymarket data.
- Utilized TF-IDF features along with basic flags for improved predictions.
- Cross-validation with different datasets yielded consistent results.
- Model performance was evaluated using Brier score and logloss.
- Insights can inform future applications in market prediction.
You've been blocked by network security.To continue, log in to your Reddit account or use your developer tokenIf you think you've been blocked by mistake, file a ticket below and we'll look into it.Log in File a ticket
