Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression
Titel:
Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression
Auteur:
van Eeden, Wessel A. Luo, Chuan van Hemert, Albert M. Carlier, Ingrid V.E. Penninx, Brenda W. Wardenaar, Klaas J. Hoos, Holger Giltay, Erik J.