Classification matrices for selected regression models illustrating the prediction accuracy of variables examined either individually or in combination. Satoshi Sugimura Tomonori Akai Yutaka Hashiyada Tamás Somfai Yasushi Inaba Muneyuki Hirayama Tadayuki Yamanouchi Hideo Matsuda Shuji Kobayashi Yoshio Aikawa Masaki Ohtake Eiji Kobayashi Kazuyuki Konishi Kei Imai 10.1371/journal.pone.0036627.t001 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 a<p>The percentage of pregnancies correctly classified as a proportion of those blastocysts predicted to result in a successful pregnancy.</p>b<p>The percentage of embryos correctly classified as resulting in no pregnancy and pregnancy (the hit ratio).</p>c<p>Conventional variables based on the stage and morphological quality code of blastocysts at the time of transfer.</p>d,e<p>Different letters indicate a significant difference (P<0.05). Data were analyzed with the Yates' corrected χ<sup>2</sup> test.</p> 2012-05-09 00:32:10 matrices regression models illustrating variables examined individually