Predicting Iris Species with XGBoost Model

This function uses an XGBoost model to predict the species of iris flowers based on given features and returns the predicted species labels.

Technology Stack : XGBoost

Code Type : Prediction function

Code Difficulty : Intermediate

                
                    
def predict_iris(X, model):
    # This function uses an XGBoost model to predict the species of iris flowers based on given features X.
    # It takes two arguments: X, which is a 2D numpy array of feature vectors, and model, which is a trained XGBoost model.
    
    # Predict the species using the model
    predictions = model.predict(X)
    
    return predictions