目的:运用机器学习探索绘画测验对青少年依赖型人格偏离的预测力。方法:研究样本是318例青少年,采用人格障碍诊断问卷的依赖型人格障碍分量表来评定青少年的依赖型人格偏离,借助统合型“房树人”绘画测验分析其绘画特征。共筛选出依赖型人格偏离阳性组79例,阴性组239例。运用机器学习探讨11项绘画特征对依赖型人格偏离的预测性能。结果:在对青少年依赖型人格偏离的预测中,所选取的11项绘画特征中,树干、伤痕(0.20)、人靠近树(0.18)和中心画(0.13)3个特征的平均重要性最高。机器学习模型预测的准确率为0 ...
王亚 +7 more
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