Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction

Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2

No Free Lunch theorem implies that any performance gains achieved by a classifier on a particular image distribution are necessarily offset by a loss of performance over the set of…