Can an ML model predict UGC level difficulty with an RMSE below 0.5 on a 1-10 scale using only level metadata, enabling accurate difficulty labels before any player completes the level?
Build a predictive difficulty model for UGC levels to enable pre-play difficulty labeling and improve content discovery matching
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Can an ML model predict UGC level difficulty with an RMSE below 0.5 on a 1-10 scale using only level metadata, enabling accurate difficulty labels before any player completes the level?
Bruin connects to your Data Warehouse, Telemetry and runs the analysis automatically.
It tracks Prediction RMSE, difficulty label accuracy, completion rate correlation and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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