I have an algorithm which is able to make a prediction and given a confidence interval ( ex. 0.95 ) it generates the upper and lower bound for the prediction. My question is, how can i get an accuracy score ( in [0,1] ) for my prediction given the confidence interval and the output lower and upper bounds ?
My only idea was to use the bounds to compute the percentage of maximum error for the prediction, but in this way the confidence interval is not exploited in the calculation. (ex. prediction=2, upper=3, lower=1, the maximum error is (prediction-lower)/prediction or (prediction-upper)/prediction )