I trained a model that predicts customer's income given the features:
- age, declared income
- number of oustanding instalment, overdue total amount
- active credit limit, total credit limit
- total amount
The output is a prediction: lower-upper bound for a customer: e.g. [8756-9230]
- NIRDM - not in range distance mean - how far the value is from the closest bound (on average) for values out of range(similar to true negative)
- in-interval - percent of tested values that actually happen to be within the range(similar true positive)
e.g. NIRDM = 1.37, on avg values deviate by 0.37, less is better.
my question: what other metrics can be used to estimate the accuracy of the model.
I dont have deeper expertise on this 'range estimation task', maybe confidence interval?