Inferring psychological traits from spending categories and dynamic consumption patterns

EPJ Data Science

Table 3 Classification models’ performance. Machine learning models performance (LR = Logistic regression, RF = Random Forest, XGB = XGBoost.) evaluated with the Accuracy, F1 score, Precision, Recall and Area Under the Receiver Operating Characteristic Curve (AUROC)

Individual traits	Model	Accuracy		Precision		Recall		F1 measure		AUROC
Individual traits	Model	Mean	Std	Mean	Std	Mean	Std	Mean	Std	Mean	Std
Materialism	LR	0.377	0.032	0.375	0.034	0.378	0.032	0.371	0.033	0.544	0.020
	RF	0.423	0.026	0.420	0.028	0.423	0.026	0.420	0.026	0.588	0.019
	XGB	0.409	0.027	0.406	0.027	0.409	0.027	0.406	0.028	0.580	0.016
Extraversion	LR	0.385	0.029	0.362	0.050	0.386	0.029	0.362	0.039	0.567	0.027
	RF	0.386	0.026	0.384	0.025	0.387	0.026	0.383	0.025	0.574	0.020
	XGB	0.398	0.033	0.397	0.032	0.398	0.033	0.396	0.032	0.573	0.029
Agreeableness	LR	0.345	0.026	0.333	0.045	0.345	0.026	0.321	0.035	0.508	0.023
	RF	0.377	0.019	0.375	0.020	0.377	0.019	0.374	0.020	0.547	0.018
	XGB	0.363	0.028	0.363	0.030	0.364	0.028	0.360	0.029	0.540	0.026
Conscientiousness	LR	0.361	0.023	0.361	0.026	0.362	0.023	0.360	0.025	0.533	0.010
	RF	0.361	0.036	0.362	0.037	0.361	0.036	0.360	0.036	0.529	0.027
	XGB	0.345	0.022	0.345	0.021	0.345	0.022	0.344	0.021	0.512	0.018
Neuroticism	LR	0.392	0.026	0.393	0.027	0.392	0.026	0.386	0.026	0.570	0.029
	RF	0.401	0.018	0.402	0.019	0.401	0.018	0.399	0.019	0.558	0.015
	XGB	0.377	0.015	0.376	0.016	0.377	0.015	0.374	0.014	0.553	0.013
Openness to experience	LR	0.344	0.014	0.338	0.049	0.344	0.013	0.322	0.036	0.512	0.018
	RF	0.348	0.034	0.346	0.034	0.348	0.034	0.345	0.034	0.520	0.024
	XGB	0.331	0.026	0.329	0.025	0.331	0.026	0.324	0.028	0.508	0.013
Self-control	LR	0.410	0.026	0.408	0.026	0.411	0.026	0.407	0.026	0.585	0.023
	RF	0.394	0.026	0.392	0.027	0.395	0.026	0.391	0.026	0.575	0.029
	XGB	0.379	0.034	0.377	0.035	0.379	0.034	0.376	0.035	0.564	0.033