ROC curve of ANN, RPART, RF SVM, and AdaBoost models.

<p>ROC curve of ANN, RPART, RF SVM, and AdaBoost models.</p>

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Bibliographic Details
Main Author:	Shirin Dehghan (19837936) (author)
Other Authors:	Reza Rabiei (9138998) (author), Hamid Choobineh (8476908) (author), Keivan Maghooli (13302069) (author), Mozhdeh Nazari (19837939) (author), Mojtaba Vahidi-Asl (9139007) (author)
Published:	2024
Subjects:	Cell Biology Biotechnology Evolutionary Biology Marine Biology Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predicting ivf outcome ivf success prediction including random forest including female age assist ivf clinicians artificial neural network around 30 %, ten crucial features feature selection techniques feature selection method comparing five machine consistent success rate xlink "> ivf ga feature selection highest accuracy rate feature selection xlink "> accuracy rate using ga machine learning crucial due various indicators study aimed sperm count rpart ), related implications regression trees predictive models key determinants infertile couples genetic algorithm future research findings underscore endometrial thickness embryo quality comparative study accurate predictions 8 %. 4 %.
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