2797 20160701171711.0 10.1007/978-1-4614-3323-1_11 DOI ASTROimport-954 Dubath, P. 2012 Hipparcos Variable Star Detection and Classification Efficiency A complete periodic star extraction and classification scheme is set up and tested with the Hipparcos catalog. The efficiency of each step is derived by comparing the results with prior knowledge coming from the catalog or from the literature. A combination of two variability criteria is applied in the first step to select 17,006 variability candidates from a complete sample of 115,152 stars. Our candidate sample turns out to include 10,406 known variables (i.e., 90% of the total of 11,597) and 6,600 contaminating constant stars. A random forest classification is used in the second step to extract 1,881 (82%) of the known periodic objects while removing entirely constant stars from the sample and limiting the contamination of nonperiodic variables to 152 stars (7.5%). The confusion introduced by these 152 nonperiodic variables is evaluated in the third step using the results of the Hipparcos periodic star classification presented in a previous study [Dubath et al. (Mon Not R Astron Soc May:651, 2011)]. Lecoeur-Taïbi, I. Rimoldini, L. Süveges, M. Blomme, J. López, M. Sarro, L. M. De Ridder, J. Cuypers, J. Guy, L. Nienartowicz, K. Jan, A. Beck, M. Mowlavi, N. De Cat, P. Lebzelter, T. Eyer, L. Astrostatistics and Data Mining 2012 117 http://esoads.eso.org/abs/2012adm..book..117D published in NONREF