What are the influences of of the proportion
between
the size of the corpora (both positive & negative examples and learning and testing corpus)
and the number of features
on the prediction qualities of various ML methods such as RF, SVM, Logistic Regression, ADABoost, and Bagging ?
Please give also explanations and relevant citations.
Thanks in advance and best regards,
Yaakov