Predictions

You can create manual or scheduled predictions for various problem types in the Rapid Model recipe, including binary classification, clustering, time series forecasting, anomaly detection, regression, and multi-class classification.

When you create a prediction job, the platform automatically performs data preprocessing and feature engineering on the uploaded dataset. This step ensures the data is refined before being fed into the trained model, improving the accuracy of predictions.

Types of Predictions

• Manual Prediction – Select a model and upload a new dataset each time you want to generate predictions.

• Scheduled Prediction – Set up a scheduler to run predictions at a defined frequency without manual intervention. You can configure it to use an updated dataset, ensuring predictions are always based on the latest data.