Table 5 Feature directionality. Feature directionality of the top 10 most predictive features computed using the Spearman correlation coefficient
From: Inferring psychological traits from spending categories and dynamic consumption patterns
Trait | Feature | Coefficient | p-value |
|---|---|---|---|
Materialism | Charities | −0.204 | <0.001 |
YOB | +0.207 | <0.001 | |
Postage/Shipping | −0.138 | <0.001 | |
Gambling | +0.111 | <0.001 | |
Transportation | +0.007 | 0.804 | |
Food, drink and going out | +0.121 | <0.001 | |
Entertainment: in house | +0.073 | 0.008 | |
Groceries and supermarkets | −0.045 | 0.104 | |
Mobile | +0.075 | 0.007 | |
\(D_{\mathrm{cat}}\) | −0.019 | 0.491 | |
Self-control | \(a_{\mathrm{avg}}\) | +0.152 | <0.001 |
\(n_{\mathrm{tot}}\) | −0.072 | 0.010 | |
Groceries and supermarkets | +0.093 | 0.001 | |
cv | +0.016 | 0.553 | |
\(B_{\mathrm{daily}}\) | −0.040 | 0.153 | |
\(B_{\mathrm{tot}}\) | −0.133 | <0.001 | |
\(N_{C}\) | +0.019 | 0.493 | |
\(C_{\mathrm{persistence}}\) | −0.045 | 0.102 | |
Cash, withdrawn and transfer | −0.052 | 0.063 | |
\(C_{\mathrm{turnover}}^{5}\) | −0.054 | 0.051 | |
Extraversion | Groceries and supermarkets | −0.109 | <0.001 |
Food, drink and going out | +0.137 | <0.001 | |
\(\sigma _{D}\) | +0.038 | 0.176 | |
\(B_{\mathrm{tot}}\) | +0.130 | <0.001 | |
Books | +0.009 | 0.757 | |
Transportation | +0.122 | <0.001 | |
Games and gaming | −0.079 | 0.004 | |
Mobile | +0.010 | 0.709 | |
Household: spending | −0.069 | 0.012 | |
Holiday | +0.085 | 0.002 | |
Neuroticism | salary | −0.150 | <0.001 |
\(a_{\mathrm{tot}}\) | −0.164 | <0.001 | |
\(a_{\mathrm{avg}}\) | −0.150 | <0.001 | |
YOB | +0.111 | <0.001 | |
\(N_{c}\) | −0.105 | <0.001 | |
\(C_{\mathrm{persistence}}\) | −0.032 | 0.252 | |
\(n_{\mathrm{tot}}\) | −0.073 | 0.008 | |
\(B_{\mathrm{daily}}\) | +0.101 | <0.001 | |
\(B_{\mathrm{tot}}\) | −0.019 | 0.489 | |
cv | −0.084 | 0.002 |