Synnax
  • Synnax
    • Introduction
    • Credit Intelligence
      • Credit Signals
      • R-Score
      • Predictive Ratio Descriptions
      • List of Financial Indicators
    • For Borrowers
    • For Lenders
    • For Data Scientists
  • SYNAI
    • Introduction
  • Synnax Lab
    • Introduction
    • Data Science Competitions
      • Synnax Datathon 1
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Synnax Datathon 2
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Synnax Datathon 3
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Past Competition Results
      • Synnax Lab Points
      • Performance Validation
    • Synnax Beta
      • Contributors Onboarding
        • How to become a Contributor
        • Track your performance
        • Payouts
        • Public company reporting frequency
      • Private Entities Onboarding
        • Industry / Sector
        • Uploading Data to Synnax
  • Gaal AI Agent
    • Introduction
  • SynQuest
    • Introduction
  • Careers
    • Senior Backend Engineer (TypeScript)
  • SynQuest Mini App
  • Synnax on X
  • Gaal on X
  • SynQuest on X
  • Synnaxians TG Group
  • Gaal on TG
  • SynQuest TG Channel
  • LinkedIn
  • Medium
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  1. Synnax Lab
  2. Synnax Beta
  3. Contributors Onboarding

Track your performance

Access quality of predictions and leaderboard score

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Last updated 3 months ago

Synnax uses as the primary metric to score predictions.

Each Synnax Lab Contributor has multiple options for validating their model's performance:

  1. Cross-validation within the training dataset.

  2. Access the confidence_score after submitting predictions via . This score is measured on a validation portion of the submitted predictions. Predictions above a certain R2 threshold will be accepted and considered for payouts calculation.

  3. Final validation on realized data: predictions submitted to Synnax Lab are forecasting the future financial indicators for thousands of public companies. When these companies release their future financial reports, Synnax compares the predicted indicators with realized values and calculates the actual R2 score. Based on this score Contributors are awarded USD compensation transmitted in USDT payouts on a monthly basis.

Synnax Lab also provides an interactive for each contributor where one can track different performance metrics.

Leaderboard


Scoring timeframe options

By selecting Today, Contributors will see the R2 score of their best submission today based on a randomly selected portion of the test set. Past 7/30 days option will show points accumulated over the respective period.


Individual performance view

Above the leaderboard are the individual Contributor's performance indicators.

  • Earnings: month-to-date / last month / year-to-date / last year

  • Balance: your current accumulated balance available for withdrawal

  • Confidence score chart: past 30 days of best submissions' R2 scores with a required minimum threshold horizontal line. Predictions below the threshold had not been considered for entering the Synnax Lab rating and are not subject to earnings calculation.

R2 score
Synnax Lab SDK
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