<div class="section-label"><span class="num">04</span> Binary</div> <div class="section-title">A qualifier for <em>categorical</em> analysis.</div> Each prediction path — [[API/Prediction Engine/Grid|Grid]], [[API/Prediction Engine/MaxFit|MaxFit]], and [[API/Prediction Engine/PSR|PSR]] — has a binary qualifier. Append <span class="mono">/binary</span> to the path. Request body, headers, and options stay the same. ## How to call it ```http https://api.csanalytics.io/v2/prediction-engine/grid/binary https://api.csanalytics.io/v2/prediction-engine/maxfit/binary https://api.csanalytics.io/v2/prediction-engine/psr/binary ``` The qualifier transforms the prediction for binary / categorical work (probability of success or failure, yes / no) instead of a magnitude on the original outcome scale. That is the hosted counterpart of running with a logistic prediction scale. > [!note] > Example: if the model is about a sports outcome, `/binary` converts the forecast into a categorical result (win / lose) that lines up with logit-style analysis. ## Configuration No extra parameters. Use the same [[API/Prediction Engine/Grid#Quick start|basic]] or [[API/Prediction Engine/Grid#Custom settings|extended]] body you would send to the non-binary path. Then retrieve the job with [[API/Prediction Engine/Results|GET /results]]. ## Related - [[API/Introduction|API]] - [[API/Prediction Engine/Grid|Grid]] · [[API/Prediction Engine/MaxFit|MaxFit]] · [[API/Prediction Engine/PSR|PSR]]