Use the Kaggle dataset available in https://www.kaggle.com/datasets/cvergnolle/gold-price- and-relevant-metrics. Use the data records only from 14 Jan 2022 to 30 Jun 2024, inclusive of both dates. The objective is to check if Crude price has any correlation with the other features in the dataset and propose a suitable model to predict the Crude price. Use 20% of the dataset for testing. Your model should use just enough features to have a R2_score of at least 0.70. (25 marks)

My attempt is in the google drive. I am having trouble obtaining a good R2 score, could you assist with it

https://drive.google.com/file/d/1fsqqMpEeA8SJxBHuOQQEvsn-JkusN7Q6/view?usp=drive_link