项目介绍

wangy8989/Bankruptcy-Prediction-using-Machine-Learning 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,目前获得 33 个 Star、7 次 Fork。

仓库全名
wangy8989/Bankruptcy-Prediction-using-Machine-Learning
Star 数
33
Fork 数
7
未关闭 Issue
1

README 摘要

Bankruptcy-Prediction-using-Machine-Learning Using various machine learning models (Gaussian Naïve Bayes, Logistic Regression, Support Vector Machine, Gradient Boosting Trees, Neural Networks) to predict whether a company will go bankrupt in the following years, based on 64 financial attributes of the company; Addressed the issue of imbalanced classes, different importance of each type of misclassification; Tune…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Bankruptcy-Prediction-using-Machine-Learning 用什么语言开发?

主要使用 Jupyter Notebook 编写,目前有 33 个 Star。

如何获取 Bankruptcy-Prediction-using-Machine-Learning 的源码?

可以直接克隆仓库:git clone https://github.com/wangy8989/Bankruptcy-Prediction-using-Machine-Learning.git;安装与运行步骤见仓库 README。

Bankruptcy-Prediction-using-Machine-Learning 最近还在维护吗?

仓库最近一次更新为 2022年10月28日,当前有 1 个未关闭 Issue;Star 数为 33,可作为社区活跃度的参考。

关于

Using various machine learning models to predict whether a company will go bankrupt

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

Jupyter Notebook

贡献者

README

Bankruptcy-Prediction-using-Machine-Learning

  • Using various machine learning models (Gaussian Naïve Bayes, Logistic Regression, Support Vector Machine, Gradient Boosting Trees, Neural Networks) to predict whether a company will go bankrupt in the following years, based on 64 financial attributes of the company;
  • Addressed the issue of imbalanced classes, different importance of each type of misclassification;
  • Tune Parameters using Grid Search Cross Validation of best model GBM to achieve 0.96 accuracy, 0.62 recall and 0.77 f1 score;

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