Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk

•Introduces a hybrid forecasting framework to identify enterprise financing risk.•Develops a feature selection module to identify the optimal input variables.•Proposes an improved ELM prediction model for enterprise financing risk.•Demonstrates the framework’s reliability in forecasting enterprise financing risk.