In simple terms, by your definition the perfect model is a database that is storing your dataset and allows you to query single values you are interested in.
In statistical classification this is called a Bayes classifier and it can exist with your constraints of infinite memory and infinite compute.
However, getting "100% accuracy" still depends on your starting dataset and/or on how you define accuracy.
In simple terms, by your definition the perfect model is a database that is storing your dataset and allows you to query single values you are interested in.
In statistical classification this is called a Bayes classifier and it can exist with your constraints of infinite memory and infinite compute.
However, getting "100% accuracy" still depends on your starting dataset and/or on how you define accuracy.