论文标题
您是性格内向的还是外向的？仅使用十个预测变量的准确分类
Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors
论文作者
论文摘要
本文研究了可以用少于十个预测因子进行内向与外向的预测的准确性。该研究基于以前的数据收集，该数据收集了91个人格和3个人口项目的调查的7161名受访者。结果表明，可以有效地将该测量仪器的大小从94个功能降低到10个功能，其性能损失仅为1％，而在看不见的数据上的准确性为73.81％。诸如SMOTE或ADASYN之类的类不平衡校正方法在验证集上显示出可观的改进，但在测试集上只有较小的性能改善。
This paper investigates how accurately the prediction of being an introvert vs. extrovert can be made with less than ten predictors. The study is based on a previous data collection of 7161 respondents of a survey on 91 personality and 3 demographic items. The results show that it is possible to effectively reduce the size of this measurement instrument from 94 to 10 features with a performance loss of only 1%, achieving an accuracy of 73.81% on unseen data. Class imbalance correction methods like SMOTE or ADASYN showed considerable improvement on the validation set but only minor performance improvement on the testing set.
