Implementing machine learning techniques such as decision tree building and classification. This implementation is used to classify credit loan risk qualification, and restaurant seating.
make
make loan
5
income
3
<$15K $15-35K >$35K
collateral
2
ADEQUATE NONE
debt
2
HIGH LOW
creditHis
3
BAD GOOD UNKNOWN
risk
3
HIGH MODERATE LOW
income collateral debt creditHis risk
<$15K NONE HIGH BAD HIGH
$15-35K NONE HIGH UNKNOWN HIGH
$15-35K NONE LOW UNKNOWN MODERATE
<$15K NONE LOW UNKNOWN HIGH
>$35K NONE LOW UNKNOWN LOW
>$35K ADEQUATE LOW UNKNOWN LOW
<$15K NONE LOW BAD HIGH
>$35K ADEQUATE LOW BAD MODERATE
>$35K NONE LOW GOOD LOW
>$35K ADEQUATE HIGH GOOD LOW
<$15K NONE HIGH GOOD HIGH
$15-35K NONE HIGH GOOD MODERATE
>$35K NONE HIGH GOOD LOW
$15-35K NONE HIGH BAD HIGH