Investigating the truthfulness of autobiographical events through mouse dynamics

This repository contains the dataset associated with the original paper "Investigating the truthfulness of autobiographical events through mouse dynamics”, by M. Monaro, A. Guiotto, V. Fietta, G. Melis. Data are organized as follows: - the dataset used by the authors to perform statistical analysis (ANOVAs) (.xls) - the training sets used by the authors to train and validate ML models (.arff) - the test sets used by the authors to test the ML models (.arff) The "Data dictionary" file contains the description of the variables in each data file. .arff files can be directly run in WEKA software 3.9. The "Details on ML classifiers parameters" file contains the algorithm parameters used to tun ML classifiers.本仓库收录了M. Monaro、A. Guiotto、V. Fietta与G. Melis合著的原创论文《通过鼠标动态度量自传式事件的真实性》（Investigating the truthfulness of autobiographical events through mouse dynamics）对应的数据集。数据的组织形式如下： - 作者用于开展统计分析（方差分析，Analysis of Variance, ANOVA）的数据集（文件格式为.xls） - 作者用于训练与验证机器学习（Machine Learning, ML）模型的训练集（文件格式为.arff） - 作者用于测试机器学习模型的测试集（文件格式为.arff） "数据字典"文件包含各数据文件中的变量说明。.arff格式文件可直接在WEKA软件3.9版本中运行。"机器学习分类器参数详情"文件包含用于调优机器学习分类器的算法参数。