Which of the following methods would you recommend to select good features (<=50) from a set of 534 features in order to train a MLPregressor? Please take into account that the datasets I use for training are small.
http://scikit-learn.org/stable/modules/feature_selection.html And please don't tell me to use a neural network that supports the dropout or any other algorithm for feature elimination. This is not applicable in my case because I want to know the best 50 features in order to append them to other types of feature that I am confident that are important. ​cheers Thomas​ -- ====================================================================== Thomas Evangelidis Research Specialist CEITEC - Central European Institute of Technology Masaryk University Kamenice 5/A35/1S081, 62500 Brno, Czech Republic email: tev...@pharm.uoa.gr teva...@gmail.com website: https://sites.google.com/site/thomasevangelidishomepage/
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