An evaluation device comprising: a generator configured to generate a plurality of sets from a first population of biometric data collected from a plurality of users, the number of biometric data of the plurality of sets being smaller than that of the first population, at least parts of the plurality of sets being different from each other; a first estimator configured to estimate a probability density distribution of similarity degrees of different user's pairs of each of the plurality of sets; a calculator configured to calculate a false acceptance rate with respect to each similarity degree threshold on a basis of the probability density distribution, with respect to each of the plurality of sets; and a second estimator configured to estimate a combined false acceptance rate from a statistic amount of false acceptance rates of the plurality of sets calculated by the calculator, by extrapolating the probability density distribution by estimating the probability density distribution with use of a generalized Pareto distribution, the combined false acceptance rate being a false acceptance rate of the first population of biometric data, wherein: the second estimator is configured to determine whether the combined false acceptance rate in a range of the similarity degree threshold is equal to or less than a predetermined false acceptance rate; wherein the range of the similarity degree threshold is a range in which at least one of a statistic amount related to variability of false acceptance rates of each of the plurality of sets that are not combined and the combined false acceptance rate is equal to another threshold or less; and the statistic amount is a standard deviation, a dispersion, an upper limit or a lower limit of the false acceptance rates. a generator configured to generate a plurality of sets from a first population of biometric data collected from a plurality of users, the number of biometric data of the plurality of sets being smaller than that of the first population, at least parts of the plurality of sets being different from each other; a first estimator configured to estimate a probability density distribution of similarity degrees of different user's pairs of each of the plurality of sets; a calculator configured to calculate a false acceptance rate with respect to each similarity degree threshold on a basis of the probability density distribution, with respect to each of the plurality of sets; and a second estimator configured to estimate a combined false acceptance rate from a statistic amount of false acceptance rates of the plurality of sets calculated by the calculator, by extrapolating the probability density distribution by estimating the probability density distribution with use of a generalized Pareto distribution, the combined false acceptance rate being a false acceptance rate of the first population of biometric data, wherein: the second estimator is configured to determine whether the combined false acceptance rate in a range of the similarity degree threshold is equal to or less than a predetermined false acceptance rate; wherein the range of the similarity degree threshold is a range in which at least one of a statistic amount related to variability of false acceptance rates of each of the plurality of sets that are not combined and the combined false acceptance rate is equal to another threshold or less; and the statistic amount is a standard deviation, a dispersion, an upper limit or a lower limit of the false acceptance rates. the second estimator is configured to determine whether the combined false acceptance rate in a range of the similarity degree threshold is equal to or less than a predetermined false acceptance rate; wherein the range of the similarity degree threshold is a range in which at least one of a statistic amount related to variability of false acceptance rates of each of the plurality of sets that are not combined and the combined false acceptance rate is equal to another threshold or less; and the statistic amount is a standard deviation, a dispersion, an upper limit or a lower limit of the false acceptance rates.