Research data for: An Evolutionary Hyper-Heuristic Approach for AutoML in Text Classification with Weighted-Sum Fitness Optimization

Meta-features of the groups D_tr, D_tst, and D_ext used for the experimentation: The first 16 meta-features were adopted from J. de Jesús Estrella Ramírez, J. C. Gomez, Evolutionary learning of selection hyper-heuristics for text classification, Applied Soft Computing 147 (2023) 110721. doi:10.1016/j.asoc.2023.110721. The remaining 24 meta-features were adopted from J. G. Madrid, H. J. Escalante, Meta-learning of Text Classification Tasks, in: I. Nyström, Y. Hernández Heredia, V. Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Springer International Publishing, Cham, 2019, pp. 107–119. doi:10.1007/978-3-030-33904-3_10.