Kindly help build a predictive model on python using a dataset with following info....RangeIndex: $24440$ entries, $0$ to $24439$

Data columns $($total $10$ columns$)$:

# Column Non$-$Null Count Dtype

$----------------------------$

$0$ patient$\_$id $24400$ non$-$null float$64$

$1$ facility $24400$ non$-$null object

$2$ year $24400$ non$-$null float$64$

$3$ gender $24400$ non$-$null object

$4$ Age $24400$ non$-$null float$64$

$5$ diabetes $24400$ non$-$null object

$6$ smoking $24400$ non$-$null object

$7$ TB$\_$Classification $24400$ non$-$null object

$8$ HIV$\_$Result $24400$ non$-$null object

$9$ TB$\_$infection $24400$ non$-$null object

Help to develop and demonstrate a predictive model using machine learning techniques that identifies individuals that at higher risk of TB infection.

Quantify and compare the stability of machine learning models across different facility areas and explore consistency of identified risk factors contributing to the models.