A data scientist has constructed a random forest regressor pipeline and integrated it as the final stage in a Spark ML Pipeline. They've initiated a cross-validation process, setting the pipeline with Random forest regressor method inside of it. What potential downside could arise from making a pipeline inside the cross-validation process? Choose only ONE best answer.