TD_XGBoostPredict function runs the predictive algorithm based on the model generated by TD_XGBoost. TD_XGBoost function, also known as eXtreme Gradient Boosting, performs classification and regression analysis on datasets. See TD_XGBoost.
TD_XGBoostPredict performs prediction for test input data using multiple simple trees in the trained model. The test input data must have the same attributes as used during the training phase, which can be up to 2046. These attributes are used to score based on the trees in the model.
The output contains prediction for each data point in the test data based on regression or classification. The prediction probability is computed based on the majority vote from participating trees. A higher probability implies a more confident prediction by the model. Majority of the trees result in the same prediction.