# Accuracy System Overview

In Oriole Insights, accuracy metrics play a vital role in evaluating the effectiveness of user predictions on the platform. Here’s a comprehensive overview:

* **User Accuracy:** is the broad measure of your predictive performance across all projects on Oriole Insights. It's like a report card of your forecasting skills, summarizing the outcomes of all your market predictions. \
  \&#xNAN;***For example,*** if you've made predictions on Bitcoin, Ethereum, and Dogecoin, and 60 out of your 100-day predictions turn out correct, your User would be 60%. This percentage gives you an idea of how often your insights are on target relative to all the predictions you've placed on the platform.

<figure><img src="/files/h1IGMhWWd1dS5JhLZEdO" alt=""><figcaption></figcaption></figure>

* **Project Accuracy:** provides a snapshot of how all users' predictions fare on a specific project and timeframe on Oriole Insights. Think of it as a community's collective insight into one cryptocurrency's performance. \
  \&#xNAN;***For instance,*** if the Oriole Insights community made various predictions on the Ripple project over different periods, Project Accuracy would be the average of these predictions. If there were 200 prediction days for Ripple and 150 were accurate, the Project Accuracy would be 75%, reflecting the overall precision of users' predictions for Ripple on our platform.

<figure><img src="/files/g2T6JXjrBrHDLCTTJwsH" alt=""><figcaption></figcaption></figure>

* **Vote Accuracy:** this metric reflects one particular prediction, highlighting a user's forecasting prowess for a single cryptocurrency in a specific vote. \
  \&#xNAN;***For example*****,** let’s say you have a prediction specifically for Bitcoin over a 30-day period. If you accurately predict the price movement for 20 of those days, your Vote Accuracy for Bitcoin would be approximately 66.7%.

<figure><img src="/files/IYuGHfZJwpd8NC2wz0YM" alt=""><figcaption></figcaption></figure>


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