In your role as a Data Scientist at a tech startup, you're tasked with developing a predictive model for customer churn. Your team is considering using nonparametric Machine Learning algorithms due to their flexibility in handling the unknown distribution of your dataset. However, there's a debate on which algorithms truly qualify as nonparametric. Given the constraints of limited computational resources and the need for interpretability, which of the following algorithms are considered nonparametric and would be most suitable for this scenario? (Choose two options)