Exploration of predictive applications based on machine learning

Abstract

There is a great correlation between data and machine learning is essential to explore methods for analyzing data. As an important component of machine learning prediction and classification, logistic regression algorithms are widely applied in various disciplines. This study delves into the theoretical connotation and algorithm steps of logistic regression algorithm, and selects enterprise samples as calculation examples to construct the model and analyze the algorithm prediction, in order to gain a deeper understanding of logistic regression algorithm. The results show that the accuracy of the constructed model reaches 80%, and the area below the ROC is 0.82. The prediction model is better, providing a new method for predicting the development of enterprises.