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An agriculture company wants to integrate machine learning in their system to maximize their crop yield. They currently have IOT sensors planted all over the farm perimeter. The sensors take constant readings of “Temperature”, “soil moisture”, “fertility” and “light”. The company believes that these sensors could be used to predict the crop’s yield. The company wants to train the model using XGBoost, however they did not write any code yet for model training and inference. Which of the following scenarios should the company adopt to train their model?