Right Choice of Classification Algorithms Basedon Reinforcement Learning for Prediction ofNon-Alcoholic Fatty Liver

There are many complex issues in the world of artificial intelligence. Some of these problems are solved using other artificialintelligence methods, which are called artificial intelligence for artificial intelligence. Finding an appropriate classifieralgorithm is a time-consuming task. For this reason, an algorithm that can automatically learn the choice of classificationalgorithms is very important. Classification algorithms are useful in predicting various diseases. Also, Primary BiliaryCirrhosis is one of the most well-known diseases that have been predicted by classification algorithms. This research's mostsignificant achievement and novelty is the automatic increase in learning through a scoring method of reinforcement learningis called square learning (SL). In this research, an algorithm is presented that learns to automatically select the appropriateclassification algorithm to predict Primary Biliary Cirrhosis. In this article, with inspiration from four evaluation metrics inclassification algorithms, a new reinforcement learning method by the name of Fourth Degree Learning has been presented.In this research, we increased the performance of the classification algorithms used in this method from ۶۳% of accuracy andachieved ۹۸% accuracy.

Keywords:

Reinforcement learning , Classification , AI for AI , Fourth Degree Learning , Primary Biliary Cirrhosis , AutomaticLearning