Public Beta
VN1 Forecasting - Accuracy Challenge
Enhance your predictive modeling skills in this exciting forecasting competition!
Challenge Overview
Forecast Sales
Predict future sales for various products using historical data and pricing information.
Two-Phase Competition
Improve your model in Phase 1 with live feedback, then make final predictions in Phase 2.
Evaluation Metrics
Your predictions will be judged on accuracy (MAE%) and bias, combined into a final score.
Challenge Details
What You'll Do
- Analyze historical sales and pricing data
- Develop a model to predict future sales for different products
- Adjust your predictions based on price changes
- Improve your model based on live feedback during Phase 1
- Make final predictions for Phase 2 using all available data
Evaluation Process
Your predictions will be evaluated based on:
- Accuracy (MAE%): How close your predictions are to actual sales
- Bias: Whether your predictions consistently over or underestimate sales
- Final Score: A combination of accuracy and bias, with lower scores being better
Ready to Take the Challenge?
Join now and put your data science skills to the test!
Data Insights Dashboard
Average Price
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Total Sales
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Median Price
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Average Price Trend
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Total Sales Over Time
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Combined Metrics
Success
Deviation from Median Price
Success