TY - DATA T1 - Classification matrices for selected regression models illustrating the prediction accuracy of variables examined either individually or in combination. PY - 2012/05/09 AU - Satoshi Sugimura AU - Tomonori Akai AU - Yutaka Hashiyada AU - Tamás Somfai AU - Yasushi Inaba AU - Muneyuki Hirayama AU - Tadayuki Yamanouchi AU - Hideo Matsuda AU - Shuji Kobayashi AU - Yoshio Aikawa AU - Masaki Ohtake AU - Eiji Kobayashi AU - Kazuyuki Konishi AU - Kei Imai UR - https://plos.figshare.com/articles/dataset/_Classification_matrices_for_selected_regression_models_illustrating_the_prediction_accuracy_of_variables_examined_either_individually_or_in_combination_/311930 DO - 10.1371/journal.pone.0036627.t001 L4 - https://ndownloader.figshare.com/files/641461 KW - matrices KW - regression KW - models KW - illustrating KW - variables KW - examined KW - individually N2 - aThe percentage of pregnancies correctly classified as a proportion of those blastocysts predicted to result in a successful pregnancy.bThe percentage of embryos correctly classified as resulting in no pregnancy and pregnancy (the hit ratio).cConventional variables based on the stage and morphological quality code of blastocysts at the time of transfer.d,eDifferent letters indicate a significant difference (P<0.05). Data were analyzed with the Yates' corrected χ2 test. ER -