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June 5, 2026Discover Artificial IntelligenceOpen Access

Enterprise financial risk prediction model based on machine learning algorithm

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Authors

JYJie YangYYan

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Overview

Randomized trial assesses a new hybrid model for financial risk prediction in organizations, highlighting accuracy and explainability.

Key Points

  • The aim is to develop a predictive model for enterprise financial risks using advanced machine learning techniques.
  • Introduced FinRiskNet, a hybrid ensemble model combining neural networks, support vector machines, and logistic regression.
  • Implemented a preprocessing system with normalization, class balancing, and feature extraction techniques.
  • Evaluated the model on a dataset containing demographic and financial information.
  • FinRiskNet outperformed traditional machine learning models in risk classification tasks.
  • Achieved high accuracy with a scalable, explainable framework.
  • Utilized SHAP analysis for better understanding of model predictions.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a2269c9763171746d5485dehttps://doi.org/10.1007/s44163-026-01283-3
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