Table 3 Methods for aggregating imputation information of different data types from K nearest neighbors

Con

Linear regression

${\displaystyle \Sigma }{\mathrm{w}}_{\mathrm{k}}\widehat{{\mathrm{y}}_{\mathrm{k}}}/{\displaystyle \Sigma }{\mathrm{w}}_{\mathrm{k}}$

Ord

Ordinal logistic regression

$min\left(max\left(1,\left[{\displaystyle \Sigma }{\mathrm{w}}_{\mathrm{k}}\widehat{{\mathrm{y}}_{\mathrm{k}}}/{\displaystyle \Sigma }{\mathrm{w}}_{\mathrm{k}}\right]\right),\mathrm{q}\right)$

Bin

Logistic regression

Weighted majority vote

Cat

Multinomial logistic regression

Weighted majority vote