The study aims to measure the predictive power of financial reporting information in predicting the financial performance of companies using machine learning algorithms. The study used published financial reporting information of companies as input to these models, R language. The company's characteristics such as size and the ratio of market value to book value have a predictive ability and become appropriate inputs for machine learning models, as well as the results confirmed that the random

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... orest algorithm is the best predictive model according to the quality criteria of the predictive model that was used