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In this paper we propose strategies for estimating performance of a classifier when labels cannot be obtained for the whole test set.
The problem of optimum stratification
T. Dalenius · 1950
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The problem of optimum stratification. ii
T. Dalenius and M. Gurney · 1951
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Sample survey methods and theory
M. H. Hansen, W. N. Hurwitz, and W. G. Madow · 1953
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Minimum variance stratification
T. Dalenius and J. L. Hodges Jr · 1959
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A note on optimum stratification of populations for estimating the population means
V. Sethi · 1963
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Approximately optimal stratification
R. Serfling · 1968
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Approximately optimum stratification on the auxiliary variable
R. Singh · 1971
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A comparison of approximately optimal stratification given proportional allocation with other methods of stratification and allocation
I. Thomsen · 1976
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Active evaluation of classifiers on large datasets
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Estimating the accuracies of multiple classifiers without labeled data
A. Jaffe, B. Nadler, and Y. Kluger · 2014
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Ranking and combining multiple predictors without labeled data
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P. N. Bennett and V. R. Carvalho · 2010
Cited alongside, same era.
Implications of optimum and approximately optimum stratification
D. W. Anderson, L. Kish, and R. G. Cornell
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Estimating accuracy from unlabeled data
E. A. Platanios, A. Blum, and T. Mitchell · 2014
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