Python . We’ve practically seen why adjusted R-squared is a more reliable measure of goodness of fit in multiple regression problems. We’ve discussed the way to interpret R-squared and found out the way to detect overfitting and underfitting using R-squared. ...
high-frequency data; technical indicators; machine learning; stock price prediction; risk-adjusted performance; Random Forest regression1. Introduction The accurate prediction of the stock market remains a fundamental yet highly challenging objective in financial research due to the volatility, noise, and...