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