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Prediction of Pull Request Combined Results Based on Logistic Regression Model
Computer Software and Theory | 更新时间：2025-04-14

    • Prediction of Pull Request Combined Results Based on Logistic Regression Model

    • “In the field of GitHub code contribution, the Pull Request rejection prediction accuracy based on logistic regression model is 0.84, the recall rate is 0.99, and the F1 score is 0.91, effectively improving prediction performance.”
    • Software Guide   Vol. 24, Issue 4, Pages: 89-92(2025)

    • DOI：10.11907/rjdk.241096    

      CLC： TP311

    • Received：01 February 2024，

      Published：15 April 2025

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  • CHEN Ping,ZHOU Liliang,ZHANG Weifeng.Prediction of Pull Request Combined Results Based on Logistic Regression Model[J].Software Guide,2025,24(04):89-92. DOI： 10.11907/rjdk.241096.

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