A user on Reddit's r/MachineLearning subreddit is seeking insights into the predictive capabilities of XGBoost compared to human market aggregates. The user has observed that their XGBoost model, using the same data available to human markets, significantly underperforms in terms of Top 1 and Top 2 accuracy. Attempts to incorporate market pricing data into the model have not improved its performance, leading the user to question whether they have reached the limits of XGBoost or if there are underlying data issues. AI
IMPACT Highlights potential limitations of current ML models in complex prediction tasks compared to human intuition.
RANK_REASON User query about model performance limitations.
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