Regularization is introduced in class as a numeric term that can be incorporated into a loss function. This is straightforward for algorithms such as neural networks that seek to optimize a numeric loss function. Here, explain possible ways regularization can be used to fine tune other types of algorithms, specifically decision trees and naive Bayes classifiers.

File i/o activity objective: the objective of this activity is to practice working with text files in c#. for this activity, you may do all code in the main class. instructions: create an app that will read integers from an input file name numbers.txt that will consist of one integer per record. example: 4 8 25 101 determine which numbers are even and which are odd. write the even numbers to a file named even.txt and the odd numbers to a file named odd.txt.