基于机器学习的全过程咨询项目认知信任评价研究OA

With the growing demand for whole-process consulting services and the rapid development of artificial intelligence,convenient and effective assessment of cognitive trust in consulting companies has become crucial for improving project success rates and promoting industry advancement.By reviewing existing literature to identify factors influencing cognitive trust in whole-process consulting,this study designs a questionnaire to rate consulting projects and submits the scores to professional firms for trustwor-thiness assessment.Adopting machine learning approaches and the Python programming language,the final data undergoes processing and cleaning.A Logistic regression model is constructed for evaluation testing,with subsequent validation through ROC curves and AUC values after meeting testing standards.Real-world data from actual projects is then input into the model for verification.The research results provide a novel evaluation tool for whole-process consulting projects,supporting digital transformation and intelligent decision-making in the industry.This methodology can also offer scientific reference criteria for project owners,improving decision-making rationality and addressing trust deficits.